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Contents OpenAI OpenAI is an American artificial intelligence research organization comprising both a non-profit foundation and a controlled for-profit public benefit corporation (PBC), headquartered in San Francisco. It aims to develop "safe and beneficial" artificial general intelligence (AGI), which it defines as "highly autonomous systems that outperform humans at most economically valuable work". OpenAI is widely recognized for its development of the GPT family of large language models, the DALL-E series of text-to-image models, and the Sora series of text-to-video models, which have influenced industry research and commercial applications. Its release of ChatGPT in November 2022 has been credited with catalyzing widespread interest in generative AI. The organization was founded in 2015 in Delaware but evolved a complex corporate structure. As of October 2025, following restructuring approved by California and Delaware regulators, the non-profit OpenAI Foundation holds 26% of the for-profit OpenAI Group PBC, with Microsoft holding 27% and employees/other investors holding 47%. Under its governance arrangements, the OpenAI Foundation holds the authority to appoint the board of the for-profit OpenAI Group PBC, a mechanism designed to align the entity’s strategic direction with the Foundation’s charter. Microsoft previously invested over $13 billion into OpenAI, and provides Azure cloud computing resources. In October 2025, OpenAI conducted a $6.6 billion share sale that valued the company at $500 billion. In 2023 and 2024, OpenAI faced multiple lawsuits for alleged copyright infringement against authors and media companies whose work was used to train some of OpenAI's products. In November 2023, OpenAI's board removed Sam Altman as CEO, citing a lack of confidence in him, but reinstated him five days later following a reconstruction of the board. Throughout 2024, roughly half of then-employed AI safety researchers left OpenAI, citing the company's prominent role in an industry-wide problem. Founding In December 2015, OpenAI was founded as a not for profit organization by Sam Altman, Elon Musk, Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, John Schulman, Pamela Vagata, and Wojciech Zaremba, with Sam Altman and Elon Musk as the co-chairs. A total of $1 billion in capital was pledged by Sam Altman, Greg Brockman, Elon Musk, Reid Hoffman, Jessica Livingston, Peter Thiel, Amazon Web Services (AWS), and Infosys. However, the actual capital collected significantly lagged pledges. According to company disclosures, only $130 million had been received by 2019. In its founding charter, OpenAI stated an intention to collaborate openly with other institutions by making certain patents and research publicly available, but later restricted access to its most capable models, citing competitive and safety concerns. OpenAI was initially run from Brockman's living room. It was later headquartered at the Pioneer Building in the Mission District, San Francisco. According to OpenAI's charter, its founding mission is "to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity." Musk and Altman stated in 2015 that they were partly motivated by concerns about AI safety and existential risk from artificial general intelligence. OpenAI stated that "it's hard to fathom how much human-level AI could benefit society", and that it is equally difficult to comprehend "how much it could damage society if built or used incorrectly". The startup also wrote that AI "should be an extension of individual human wills and, in the spirit of liberty, as broadly and evenly distributed as possible", and that "because of AI's surprising history, it's hard to predict when human-level AI might come within reach. When it does, it'll be important to have a leading research institution which can prioritize a good outcome for all over its own self-interest." Co-chair Sam Altman expected a decades-long project that eventually surpasses human intelligence. Brockman met with Yoshua Bengio, one of the "founding fathers" of deep learning, and drew up a list of great AI researchers. Brockman was able to hire nine of them as the first employees in December 2015. OpenAI did not pay AI researchers salaries comparable to those of Facebook or Google. It also did not pay stock options which AI researchers typically get. Nevertheless, OpenAI spent $7 million on its first 52 employees in 2016. OpenAI's potential and mission drew these researchers to the firm; a Google employee said he was willing to leave Google for OpenAI "partly because of the very strong group of people and, to a very large extent, because of its mission." OpenAI co-founder Wojciech Zaremba stated that he turned down "borderline crazy" offers of two to three times his market value to join OpenAI instead. In April 2016, OpenAI released a public beta of "OpenAI Gym", its platform for reinforcement learning research. Nvidia gifted its first DGX-1 supercomputer to OpenAI in August 2016 to help it train larger and more complex AI models with the capability of reducing processing time from six days to two hours. In December 2016, OpenAI released "Universe", a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites, and other applications. Corporate structure In 2019, OpenAI transitioned from non-profit to "capped" for-profit, with the profit being capped at 100 times any investment. According to OpenAI, the capped-profit model allows OpenAI Global, LLC to legally attract investment from venture funds and, in addition, to grant employees stakes in the company. Many top researchers work for Google Brain, DeepMind, or Facebook, which offer equity that a nonprofit would be unable to match. Before the transition, OpenAI was legally required to publicly disclose the compensation of its top employees. The company then distributed equity to its employees and partnered with Microsoft, announcing an investment package of $1 billion into the company. Since then, OpenAI systems have run on an Azure-based supercomputing platform from Microsoft. OpenAI Global, LLC then announced its intention to commercially license its technologies. It planned to spend $1 billion "within five years, and possibly much faster". Altman stated that even a billion dollars may turn out to be insufficient, and that the lab may ultimately need "more capital than any non-profit has ever raised" to achieve artificial general intelligence. The nonprofit, OpenAI, Inc., is the sole controlling shareholder of OpenAI Global, LLC, which, despite being a for-profit company, retains a formal fiduciary responsibility to OpenAI, Inc.'s nonprofit charter. A majority of OpenAI, Inc.'s board is barred from having financial stakes in OpenAI Global, LLC. In addition, minority members with a stake in OpenAI Global, LLC are barred from certain votes due to conflict of interest. Some researchers have argued that OpenAI Global, LLC's switch to for-profit status is inconsistent with OpenAI's claims to be "democratizing" AI. On February 29, 2024, Elon Musk filed a lawsuit against OpenAI and CEO Sam Altman, accusing them of shifting focus from public benefit to profit maximization—a case OpenAI dismissed as "incoherent" and "frivolous," though Musk later revived legal action against Altman and others in August. On April 9, 2024, OpenAI countersued Musk in federal court, alleging that he had engaged in "bad-faith tactics" to slow the company's progress and seize its innovations for his personal benefit. OpenAI also argued that Musk had previously supported the creation of a for-profit structure and had expressed interest in controlling OpenAI himself. The countersuit seeks damages and legal measures to prevent further alleged interference. On February 10, 2025, a consortium of investors led by Elon Musk submitted a $97.4 billion unsolicited bid to buy the nonprofit that controls OpenAI, declaring willingness to match or exceed any better offer. The offer was rejected on 14 February 2025, with OpenAI stating that it was not for sale, but the offer complicated Altman's restructuring plan by suggesting a lower bar for how much the nonprofit should be valued. OpenAI, Inc. was originally designed as a nonprofit in order to ensure that AGI "benefits all of humanity" rather than "the private gain of any person". In 2019, it created OpenAI Global, LLC, a capped-profit subsidiary controlled by the nonprofit. In December 2024, OpenAI proposed a restructuring plan to convert the capped-profit into a Delaware-based public benefit corporation (PBC), and to release it from the control of the nonprofit. The nonprofit would sell its control and other assets, getting equity in return, and would use it to fund and pursue separate charitable projects, including in science and education. OpenAI's leadership described the change as necessary to secure additional investments, and claimed that the nonprofit's founding mission to ensure AGI "benefits all of humanity" would be better fulfilled. The plan has been criticized by former employees. A legal letter named "Not For Private Gain" asked the attorneys general of California and Delaware to intervene, stating that the restructuring is illegal and would remove governance safeguards from the nonprofit and the attorneys general. The letter argues that OpenAI's complex structure was deliberately designed to remain accountable to its mission, without the conflicting pressure of maximizing profits. It contends that the nonprofit is best positioned to advance its mission of ensuring AGI benefits all of humanity by continuing to control OpenAI Global, LLC, whatever the amount of equity that it could get in exchange. PBCs can choose how they balance their mission with profit-making. Controlling shareholders have a large influence on how closely a PBC sticks to its mission. On October 28, 2025, OpenAI announced that it had adopted the new PBC corporate structure after receiving approval from the attorneys general of California and Delaware. Under the new structure, OpenAI's for-profit branch became a public benefit corporation known as OpenAI Group PBC, while the non-profit was renamed to the OpenAI Foundation. The OpenAI Foundation holds a 26% stake in the PBC, while Microsoft holds a 27% stake and the remaining 47% is owned by employees and other investors. All members of the OpenAI Group PBC board of directors will be appointed by the OpenAI Foundation, which can remove them at any time. Members of the Foundation's board will also serve on the for-profit board. The new structure allows the for-profit PBC to raise investor funds like most traditional tech companies, including through an initial public offering, which Altman claimed was the most likely path forward. In January 2023, OpenAI Global, LLC was in talks for funding that would value the company at $29 billion, double its 2021 value. On January 23, 2023, Microsoft announced a new US$10 billion investment in OpenAI Global, LLC over multiple years, partially needed to use Microsoft's cloud-computing service Azure. From September to December, 2023, Microsoft rebranded all variants of its Copilot to Microsoft Copilot, and they added MS-Copilot to many installations of Windows and released Microsoft Copilot mobile apps. Following OpenAI's 2025 restructuring, Microsoft owns a 27% stake in the for-profit OpenAI Group PBC, valued at $135 billion. In a deal announced the same day, OpenAI agreed to purchase $250 billion of Azure services, with Microsoft ceding their right of first refusal over OpenAI's future cloud computing purchases. As part of the deal, OpenAI will continue to share 20% of its revenue with Microsoft until it achieves AGI, which must now be verified by an independent panel of experts. The deal also loosened restrictions on both companies working with third parties, allowing Microsoft to pursue AGI independently and allowing OpenAI to develop products with other companies. In 2017, OpenAI spent $7.9 million, a quarter of its functional expenses, on cloud computing alone. In comparison, DeepMind's total expenses in 2017 were $442 million. In the summer of 2018, training OpenAI's Dota 2 bots required renting 128,000 CPUs and 256 GPUs from Google for multiple weeks. In October 2024, OpenAI completed a $6.6 billion capital raise with a $157 billion valuation including investments from Microsoft, Nvidia, and SoftBank. On January 21, 2025, Donald Trump announced The Stargate Project, a joint venture between OpenAI, Oracle, SoftBank and MGX to build an AI infrastructure system in conjunction with the US government. The project takes its name from OpenAI's existing "Stargate" supercomputer project and is estimated to cost $500 billion. The partners planned to fund the project over the next four years. In July, the United States Department of Defense announced that OpenAI had received a $200 million contract for AI in the military, along with Anthropic, Google, and xAI. In the same month, the company made a deal with the UK Government to use ChatGPT and other AI tools in public services. OpenAI subsequently began a $50 million fund to support nonprofit and community organizations. In April 2025, OpenAI raised $40 billion at a $300 billion post-money valuation, which was the highest-value private technology deal in history. The financing round was led by SoftBank, with other participants including Microsoft, Coatue, Altimeter and Thrive. In July 2025, the company reported annualized revenue of $12 billion. This was an increase from $3.7 billion in 2024, which was driven by ChatGPT subscriptions, which reached 20 million paid subscribers by April 2025, up from 15.5 million at the end of 2024, alongside a rapidly expanding enterprise customer base that grew to five million business users. The company’s cash burn remains high because of the intensive computational costs required to train and operate large language models. It projects an $8 billion operating loss in 2025. OpenAI reports revised long-term spending projections totaling approximately $115 billion through 2029, with annual expenditures projected to escalate significantly, reaching $17 billion in 2026, $35 billion in 2027, and $45 billion in 2028. These expenditures are primarily allocated toward expanding compute infrastructure, developing proprietary AI chips, constructing data centers, and funding intensive model training programs, with more than half of the spending through the end of the decade expected to support research-intensive compute for model training and development. The company's financial strategy prioritizes market expansion and technological advancement over near-term profitability, with OpenAI targeting cash-flow-positive operations by 2029 and projecting revenue of approximately $200 billion by 2030. This aggressive spending trajectory underscores both the enormous capital requirements of scaling cutting-edge AI technology and OpenAI's commitment to maintaining its position as a leader in the artificial intelligence industry. In October 2025, OpenAI completed an employee share sale of up to $10 billion to existing investors which valued the company at $500 billion. The deal values OpenAI as the most valuable privately owned company in the world—surpassing SpaceX as the world's most valuable private company. On November 17, 2023, Sam Altman was removed as CEO when its board of directors (composed of Helen Toner, Ilya Sutskever, Adam D'Angelo and Tasha McCauley) cited a lack of confidence in him. Chief Technology Officer Mira Murati took over as interim CEO. Greg Brockman, the president of OpenAI, was also removed as chairman of the board and resigned from the company's presidency shortly thereafter. Three senior OpenAI researchers subsequently resigned: director of research and GPT-4 lead Jakub Pachocki, head of AI risk Aleksander Mądry, and researcher Szymon Sidor. On November 18, 2023, there were reportedly talks of Altman returning as CEO amid pressure placed upon the board by investors such as Microsoft and Thrive Capital, who objected to Altman's departure. Although Altman himself spoke in favor of returning to OpenAI, he has since stated that he considered starting a new company and bringing former OpenAI employees with him if talks to reinstate him didn't work out. The board members agreed "in principle" to resign if Altman returned. On November 19, 2023, negotiations with Altman to return failed and Murati was replaced by Emmett Shear as interim CEO. The board initially contacted Anthropic CEO Dario Amodei (a former OpenAI executive) about replacing Altman, and proposed a merger of the two companies, but both offers were declined. On November 20, 2023, Microsoft CEO Satya Nadella announced Altman and Brockman would be joining Microsoft to lead a new advanced AI research team, but added that they were still committed to OpenAI despite recent events. Before the partnership with Microsoft was finalized, Altman gave the board another opportunity to negotiate with him. About 738 of OpenAI's 770 employees, including Murati and Sutskever, signed an open letter stating they would quit their jobs and join Microsoft if the board did not rehire Altman and then resign. This prompted OpenAI investors to consider legal action against the board as well. In response, OpenAI management sent an internal memo to employees stating that negotiations with Altman and the board had resumed and would take some time. On November 21, 2023, after continued negotiations, Altman and Brockman returned to the company in their prior roles along with a reconstructed board made up of new members Bret Taylor (as chairman) and Lawrence Summers, with D'Angelo remaining. According to subsequent reporting, shortly before Altman’s firing, some employees raised concerns to the board about how he had handled the safety implications of a recent internal AI capability discovery. On November 29, 2023, OpenAI announced that an anonymous Microsoft employee had joined the board as a non-voting member to observe the company's operations; Microsoft resigned from the board in July 2024. In February 2024, the Securities and Exchange Commission subpoenaed OpenAI's internal communication to determine if Altman's alleged lack of candor misled investors. In 2024, following the temporary removal of Sam Altman and his return, many employees gradually left OpenAI, including most of the original leadership team and a significant number of AI safety researchers. In August 2023, it was announced that OpenAI had acquired the New York-based start-up Global Illumination, a company that deploys AI to develop digital infrastructure and creative tools. In June 2024, OpenAI acquired Multi, a startup focused on remote collaboration. In March 2025, OpenAI reached a deal with CoreWeave to acquire $350 million worth of CoreWeave shares and access to AI infrastructure, in return for $11.9 billion paid over five years. Microsoft was already CoreWeave's biggest customer in 2024. Alongside their other business dealings, OpenAI and Microsoft were renegotiating the terms of their partnership to facilitate a potential future initial public offering by OpenAI, while ensuring Microsoft's continued access to advanced AI models. On May 21, OpenAI announced the $6.5 billion acquisition of io, an AI hardware start-up founded by former Apple designer Jony Ive in 2024. In September 2025, OpenAI agreed to acquire the product testing startup Statsig for $1.1 billion in an all-stock deal and appointed Statsig's founding CEO Vijaye Raji as OpenAI's chief technology officer of applications. The company also announced development of an AI-driven hiring service designed to rival LinkedIn. OpenAI acquired personal finance app Roi in October 2025. In October 2025, OpenAI acquired Software Applications Incorporated, the developer of Sky, a macOS-based natural language interface designed to operate across desktop applications. The Sky team joined OpenAI, and the company announced plans to integrate Sky’s capabilities into ChatGPT. In December 2025, it was announced OpenAI had agreed to acquire Neptune, an AI tooling startup that helps companies track and manage model training, for an undisclosed amount. In January 2026, it was announced OpenAI had acquired healthcare technology startup Torch for approximately $60 million. The acquisition followed the launch of OpenAI’s ChatGPT Health product and was intended to strengthen the company’s medical data and healthcare artificial intelligence capabilities. OpenAI has been criticized for outsourcing the annotation of data sets to Sama, a company based in San Francisco that employed workers in Kenya. These annotations were used to train an AI model to detect toxicity, which could then be used to moderate toxic content, notably from ChatGPT's training data and outputs. However, these pieces of text usually contained detailed descriptions of various types of violence, including sexual violence. The investigation uncovered that OpenAI began sending snippets of data to Sama as early as November 2021. The four Sama employees interviewed by Time described themselves as mentally scarred. OpenAI paid Sama $12.50 per hour of work, and Sama was redistributing the equivalent of between $1.32 and $2.00 per hour post-tax to its annotators. Sama's spokesperson said that the $12.50 was also covering other implicit costs, among which were infrastructure expenses, quality assurance and management. In 2024, OpenAI began collaborating with Broadcom to design a custom AI chip capable of both training and inference, targeted for mass production in 2026 and to be manufactured by TSMC on a 3 nm process node. This initiative intended to reduce OpenAI's dependence on Nvidia GPUs, which are costly and face high demand in the market. In January 2024, Arizona State University purchased ChatGPT Enterprise in OpenAI's first deal with a university. In June 2024, Apple Inc. signed a contract with OpenAI to integrate ChatGPT features into its products as part of its new Apple Intelligence initiative. In June 2025, OpenAI began renting Google Cloud's Tensor Processing Units (TPUs) to support ChatGPT and related services, marking its first meaningful use of non‑Nvidia AI chips. In September 2025, it was revealed that OpenAI signed a contract with Oracle to purchase $300 billion in computing power over the next five years. In September 2025, OpenAI and NVIDIA announced a memorandum of understanding that included a potential deployment of at least 10 gigawatts of NVIDIA systems and a $100 billion investment from NVIDIA in OpenAI. OpenAI expected the negotiations to be completed within weeks. As of January 2026, this has not been realized, and the two sides are rethinking the future of their partnership. In October 2025, OpenAI announced a multi-billion dollar deal with AMD. OpenAI committed to purchasing six gigawatts worth of AMD chips, starting with the MI450. OpenAI will have the option to buy up to 160 million shares of AMD, about 10% of the company, depending on development, performance and share price targets. In December 2025, Disney said it would make a $1 billion investment in OpenAI, and signed a three-year licensing deal that will let users generate videos using Sora—OpenAI's short-form AI video platform. More than 200 Disney, Marvel, Star Wars and Pixar characters will be available to OpenAI users. In early 2026, Amazon entered advanced discussions to invest up to $50 billion in OpenAI as part of a potential artificial intelligence partnership. Under the proposed agreement, OpenAI’s models could be integrated into Amazon’s digital assistant Alexa and other internal projects. OpenAI provides LLMs to the Artificial Intelligence Cyber Challenge and to the Advanced Research Projects Agency for Health. In October 2024, The Intercept revealed that OpenAI's tools are considered "essential" for AFRICOM's mission and included in an "Exception to Fair Opportunity" contractual agreement between the United States Department of Defense and Microsoft. In December 2024, OpenAI said it would partner with defense-tech company Anduril to build drone defense technologies for the United States and its allies. In 2025, OpenAI's Chief Product Officer, Kevin Weil, was commissioned lieutenant colonel in the U.S. Army to join Detachment 201 as senior advisor. In June 2025, the U.S. Department of Defense awarded OpenAI a $200 million one-year contract to develop AI tools for military and national security applications. OpenAI announced a new program, OpenAI for Government, to give federal, state, and local governments access to its models, including ChatGPT. Services In February 2019, GPT-2 was announced, which gained attention for its ability to generate human-like text. In 2020, OpenAI announced GPT-3, a language model trained on large internet datasets. GPT-3 is aimed at natural language answering questions, but it can also translate between languages and coherently generate improvised text. It also announced that an associated API, named the API, would form the heart of its first commercial product. Eleven employees left OpenAI, mostly between December 2020 and January 2021, in order to establish Anthropic. In 2021, OpenAI introduced DALL-E, a specialized deep learning model adept at generating complex digital images from textual descriptions, utilizing a variant of the GPT-3 architecture. In December 2022, OpenAI received widespread media coverage after launching a free preview of ChatGPT, its new AI chatbot based on GPT-3.5. According to OpenAI, the preview received over a million signups within the first five days. According to anonymous sources cited by Reuters in December 2022, OpenAI Global, LLC was projecting $200 million of revenue in 2023 and $1 billion in revenue in 2024. After ChatGPT was launched, Google announced a similar chatbot, Bard, amid internal concerns that ChatGPT could threaten Google’s position as a primary source of online information. On February 7, 2023, Microsoft announced that it was building AI technology based on the same foundation as ChatGPT into Microsoft Bing, Edge, Microsoft 365 and other products. On March 14, 2023, OpenAI released GPT-4, both as an API (with a waitlist) and as a feature of ChatGPT Plus. On November 6, 2023, OpenAI launched GPTs, allowing individuals to create customized versions of ChatGPT for specific purposes, further expanding the possibilities of AI applications across various industries. On November 14, 2023, OpenAI announced they temporarily suspended new sign-ups for ChatGPT Plus due to high demand. Access for newer subscribers re-opened a month later on December 13. In December 2024, the company launched the Sora model. It also launched OpenAI o1, an early reasoning model that was internally codenamed strawberry. Additionally, ChatGPT Pro—a $200/month subscription service offering unlimited o1 access and enhanced voice features—was introduced, and preliminary benchmark results for the upcoming OpenAI o3 models were shared. On January 23, 2025, OpenAI released Operator, an AI agent and web automation tool for accessing websites to execute goals defined by users. The feature was only available to Pro users in the United States. OpenAI released deep research agent, nine days later. It scored a 27% accuracy on the benchmark Humanity's Last Exam (HLE). Altman later stated GPT-4.5 would be the last model without full chain-of-thought reasoning. In July 2025, reports indicated that AI models by both OpenAI and Google DeepMind solved mathematics problems at the level of top-performing students in the International Mathematical Olympiad. OpenAI's large language model was able to achieve gold medal-level performance, reflecting significant progress in AI's reasoning abilities. On October 6, 2025, OpenAI unveiled its Agent Builder platform during the company's DevDay event. The platform includes a visual drag-and-drop interface that lets developers and businesses design, test, and deploy agentic workflows with limited coding. On October 21, 2025, OpenAI introduced ChatGPT Atlas, a browser integrating the ChatGPT assistant directly into web navigation, to compete with existing browsers such as Google Chrome and Apple Safari. On December 11, 2025, OpenAI announced GPT-5.2. This model will be better at creating spreadsheets, building presentations, perceiving images, writing code and understanding long context. On January 27, 2026, OpenAI introduced Prism, a LaTeX-native workspace meant to assist scientists to help with research and writing. The platform utilizes GPT-5.2 as a backend to automate the process of drafting for scientific papers, including features for managing citations, complex equation formatting, and real-time collaborative editing. In March 2023, the company was criticized for disclosing particularly few technical details about products like GPT-4, contradicting its initial commitment to openness and making it harder for independent researchers to replicate its work and develop safeguards. OpenAI cited competitiveness and safety concerns to justify this repudiation. OpenAI's former chief scientist Ilya Sutskever argued in 2023 that open-sourcing increasingly capable models was increasingly risky, and that the safety reasons for not open-sourcing the most potent AI models would become "obvious" in a few years. In September 2025, OpenAI published a study on how people use ChatGPT for everyday tasks. The study found that "non-work tasks" (according to an LLM-based classifier) account for more than 72 percent of all ChatGPT usage, with a minority of overall usage related to business productivity. In July 2023, OpenAI launched the superalignment project, aiming within four years to determine how to align future superintelligent systems. OpenAI promised to dedicate 20% of its computing resources to the project, although the team denied receiving anything close to 20%. OpenAI ended the project in May 2024 after its co-leaders Ilya Sutskever and Jan Leike left the company. In August 2025, OpenAI was criticized after thousands of private ChatGPT conversations were inadvertently exposed to public search engines like Google due to an experimental "share with search engines" feature. The opt-in toggle, intended to allow users to make specific chats discoverable, resulted in some discussions including personal details such as names, locations, and intimate topics appearing in search results when users accidentally enabled it while sharing links. OpenAI announced the feature's permanent removal on August 1, 2025, and the company began coordinating with search providers to remove the exposed content, emphasizing that it was not a security breach but a design flaw that heightened privacy risks. CEO Sam Altman acknowledged the issue in a podcast, noting users often treat ChatGPT as a confidant for deeply personal matters, which amplified concerns about AI handling sensitive data. Management In 2018, Musk resigned from his Board of Directors seat, citing "a potential future conflict [of interest]" with his role as CEO of Tesla due to Tesla's AI development for self-driving cars. OpenAI stated that Musk's financial contributions were below $45 million. On March 3, 2023, Reid Hoffman resigned from his board seat, citing a desire to avoid conflicts of interest with his investments in AI companies via Greylock Partners, and his co-founding of the AI startup Inflection AI. Hoffman remained on the board of Microsoft, a major investor in OpenAI. In May 2024, Chief Scientist Ilya Sutskever resigned and was succeeded by Jakub Pachocki. Co-leader Jan Leike also departed amid concerns over safety and trust. OpenAI then signed deals with Reddit, News Corp, Axios, and Vox Media. Paul Nakasone then joined the board of OpenAI. In August 2024, cofounder John Schulman left OpenAI to join Anthropic, and OpenAI's president Greg Brockman took extended leave until November. In September 2024, CTO Mira Murati left the company. In November 2025, Lawrence Summers resigned from the board of directors. Governance and legal issues In May 2023, Sam Altman, Greg Brockman and Ilya Sutskever posted recommendations for the governance of superintelligence. They stated that superintelligence could happen within the next 10 years, allowing a "dramatically more prosperous future" and that "given the possibility of existential risk, we can't just be reactive". They proposed creating an international watchdog organization similar to IAEA to oversee AI systems above a certain capability threshold, suggesting that relatively weak AI systems on the other side should not be overly regulated. They also called for more technical safety research for superintelligences, and asked for more coordination, for example through governments launching a joint project which "many current efforts become part of". In July 2023, the FTC issued a civil investigative demand to OpenAI to investigate whether the company's data security and privacy practices to develop ChatGPT were unfair or harmed consumers (including by reputational harm) in violation of Section 5 of the Federal Trade Commission Act of 1914. These are typically preliminary investigative matters and are nonpublic, but the FTC's document was leaked. In July 2023, the FTC launched an investigation into OpenAI over allegations that the company scraped public data and published false and defamatory information. They asked OpenAI for comprehensive information about its technology and privacy safeguards, as well as any steps taken to prevent the recurrence of situations in which its chatbot generated false and derogatory content about people. The agency also raised concerns about ‘circular’ spending arrangements—for example, Microsoft extending Azure credits to OpenAI while both companies shared engineering talent—and warned that such structures could negatively affect the public. In September 2024, OpenAI's global affairs chief endorsed the UK's "smart" AI regulation during testimony to a House of Lords committee. In February 2025, OpenAI CEO Sam Altman stated that the company is interested in collaborating with the People's Republic of China, despite regulatory restrictions imposed by the U.S. government. This shift comes in response to the growing influence of the Chinese artificial intelligence company DeepSeek, which has disrupted the AI market with open models, including DeepSeek V3 and DeepSeek R1. Following DeepSeek's market emergence, OpenAI enhanced security protocols to protect proprietary development techniques from industrial espionage. Some industry observers noted similarities between DeepSeek's model distillation approach and OpenAI's methodology, though no formal intellectual property claim was filed. According to Oliver Roberts, in March 2025, the United States had 781 state AI bills or laws. OpenAI advocated for preempting state AI laws with federal laws. According to Scott Kohler, OpenAI has opposed California's AI legislation and suggested that the state bill encroaches on a more competent federal government. Public Citizen opposed a federal preemption on AI and pointed to OpenAI's growth and valuation as evidence that existing state laws have not hampered innovation. Before May 2024, OpenAI required departing employees to sign a lifelong non-disparagement agreement forbidding them from criticizing OpenAI and acknowledging the existence of the agreement. Daniel Kokotajlo, a former employee, publicly stated that he forfeited his vested equity in OpenAI in order to leave without signing the agreement. Sam Altman stated that he was unaware of the equity cancellation provision, and that OpenAI never enforced it to cancel any employee's vested equity. However, leaked documents and emails refute this claim. On May 23, 2024, OpenAI sent a memo releasing former employees from the agreement. OpenAI was sued for copyright infringement by authors Sarah Silverman, Matthew Butterick, Paul Tremblay and Mona Awad in July 2023. In September 2023, 17 authors, including George R. R. Martin, John Grisham, Jodi Picoult and Jonathan Franzen, joined the Authors Guild in filing a class action lawsuit against OpenAI, alleging that the company's technology was illegally using their copyrighted work. The New York Times also sued the company in late December 2023. In May 2024 it was revealed that OpenAI had destroyed its Books1 and Books2 training datasets, which were used in the training of GPT-3, and which the Authors Guild believed to have contained over 100,000 copyrighted books. In 2021, OpenAI developed a speech recognition tool called Whisper. OpenAI used it to transcribe more than one million hours of YouTube videos into text for training GPT-4. The automated transcription of YouTube videos raised concerns within OpenAI employees regarding potential violations of YouTube's terms of service, which prohibit the use of videos for applications independent of the platform, as well as any type of automated access to its videos. Despite these concerns, the project proceeded with notable involvement from OpenAI's president, Greg Brockman. The resulting dataset proved instrumental in training GPT-4. In February 2024, The Intercept as well as Raw Story and Alternate Media Inc. filed lawsuit against OpenAI on copyright litigation ground. The lawsuit is said to have charted a new legal strategy for digital-only publishers to sue OpenAI. On April 30, 2024, eight newspapers filed a lawsuit in the Southern District of New York against OpenAI and Microsoft, claiming illegal harvesting of their copyrighted articles. The suing publications included The Mercury News, The Denver Post, The Orange County Register, St. Paul Pioneer Press, Chicago Tribune, Orlando Sentinel, Sun Sentinel, and New York Daily News. In June 2023, a lawsuit claimed that OpenAI scraped 300 billion words online without consent and without registering as a data broker. It was filed in San Francisco, California, by sixteen anonymous plaintiffs. They also claimed that OpenAI and its partner as well as customer Microsoft continued to unlawfully collect and use personal data from millions of consumers worldwide to train artificial intelligence models. On May 22, 2024, OpenAI entered into an agreement with News Corp to integrate news content from The Wall Street Journal, the New York Post, The Times, and The Sunday Times into its AI platform. Meanwhile, other publications like The New York Times chose to sue OpenAI and Microsoft for copyright infringement over the use of their content to train AI models. In November 2024, a coalition of Canadian news outlets, including the Toronto Star, Metroland Media, Postmedia, The Globe and Mail, The Canadian Press and CBC, sued OpenAI for using their news articles to train its software without permission. In October 2024 during a New York Times interview, Suchir Balaji accused OpenAI of violating copyright law in developing its commercial LLMs which he had helped engineer. He was a likely witness in a major copyright trial against the AI company, and was one of several of its current or former employees named in court filings as potentially having documents relevant to the case. On November 26, 2024, Balaji died by suicide. His death prompted the circulation of conspiracy theories alleging that he had been deliberately silenced. California Congressman Ro Khanna endorsed calls for an investigation. On April 24, 2025, Ziff Davis sued OpenAI in Delaware federal court for copyright infringement. Ziff Davis is known for publications such as ZDNet, PCMag, CNET, IGN and Lifehacker. In April 2023, the EU's European Data Protection Board (EDPB) formed a dedicated task force on ChatGPT "to foster cooperation and to exchange information on possible enforcement actions conducted by data protection authorities" based on the "enforcement action undertaken by the Italian data protection authority against OpenAI about the ChatGPT service". In late April 2024 NOYB filed a complaint with the Austrian Datenschutzbehörde against OpenAI for violating the European General Data Protection Regulation. A text created with ChatGPT gave a false date of birth for a living person without giving the individual the option to see the personal data used in the process. A request to correct the mistake was denied. Additionally, neither the recipients of ChatGPT's work nor the sources used, could be made available, OpenAI claimed. OpenAI was criticized for lifting its ban on using ChatGPT for "military and warfare". Up until January 10, 2024, its "usage policies" included a ban on "activity that has high risk of physical harm, including", specifically, "weapons development" and "military and warfare". Its new policies prohibit "[using] our service to harm yourself or others" and to "develop or use weapons". In August 2025, the parents of a 16-year-old boy who died by suicide filed a wrongful death lawsuit against OpenAI (and CEO Sam Altman), alleging that months of conversations with ChatGPT about mental health and methods of self-harm contributed to their son's death and that safeguards were inadequate for minors. OpenAI expressed condolences and said it was strengthening protections (including updated crisis response behavior and parental controls). Coverage described it as a first-of-its-kind wrongful death case targeting the company's chatbot. The complaint was filed in California state court in San Francisco. In November 2025, the Social Media Victims Law Center and Tech Justice Law Project filed seven lawsuits against OpenAI, of which four lawsuits alleged wrongful death. The suits were filed on behalf of Zane Shamblin, 23, of Texas; Amaurie Lacey, 17, of Georgia; Joshua Enneking, 26, of Florida; and Joe Ceccanti, 48, of Oregon, who each committed suicide after prolonged ChatGPT usage. In December 2025, Stein-Erik Soelberg, who was 56 years old at the time, allegedly murdered his mother Suzanne Adams. In the months prior the paranoid, delusional man often discussed his ideas with ChatGPT. Adam's estate then sued OpenAI claiming that the company shared responsibility due to the risk of chatbot psychosis despite the fact that chatbot psychosis is not a real medical diagnosis. OpenAI responded saying they will make ChatGPT safer for users disconnected from reality. See also References Further reading External links |
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Contents Conservatism in the United States Conservatism in the United States is a right-leaning and right-wing tradition of a variety of ideologies that collectively has rivaled the liberal and progressive U.S. political traditions. Since the early 20th century, the American conservative tradition has generally been identified with the Republican Party, as opposed to the predominantly modern social liberal orientation of its rival, the Democratic Party. Traditional American conservatism is characterized by a belief in individualism, traditionalism, capitalism, republicanism, and limited federal governmental power in relation to U.S. states. However, 21st-century developments have shifted it towards right-wing populist and national conservatist themes, owing in a large part to Trumpism. Traditional American conservatives maintain support from the Christian right and its interpretation of Christian values and moral absolutism, while generally opposing abortion, euthanasia, and some LGBT rights. They tend to favor economic liberalism, and are generally pro-business and pro-capitalism, while more strongly opposing communism and labor unions than liberals and social democrats. Recent shifts have moved it towards national conservatism, protectionism, cultural conservatism and a more realist foreign policy. Conservatives often advocate for strong national defense, gun rights, capital punishment, and a defense of Western culture from possible threats posed by communism, Islamism, and moral relativism. American conservatives question epidemiology, anthropogenic climate change, and evolution more frequently than moderates or liberals. Notable figures who have changed American conservative traditions are Ronald Reagan, Donald Trump, Bill Kristol, Mike Pence, and Sarah Palin. Overview In the United States, conservatism is often defined differently from how it is viewed and described in Europe and other regions of the world. Following the American Revolution, Americans rejected the core ideals of European conservatism, including landed nobility, hereditary monarchy, established churches, and powerful armies.[citation needed] Conservatives in the United States historically view individual liberty within the bounds of conservative values as the fundamental trait of democracy. They typically believe in a balance between federal government and states' rights. Apart from some right-libertarians, American conservatives tend to favor strong action in areas they believe to be within the government's legitimate jurisdiction, particularly national defense and law enforcement while opposing government intervention in social issues such as healthcare and the environment. Social conservatives, including many religious organizations and leaders, often oppose abortion and same-sex marriage. On education policy, American conservatives often support prayer in public schools and school choice, which enhances parents' choice between public, private, and parochial primary education. Like most U.S. political ideologies, American conservatism is founded on the principle of republicanism, which rejects aristocratic and monarchical government. American conservatives see the Declaration of Independence, authored during the Revolutionary War largely by Thomas Jefferson and unanimously adopted by the Second Continental Congress in Philadelphia in 1776, as an ideological foundation, especially the Declaration's phrase that, "all men are created equal, that they are endowed by their Creator with certain unalienable Rights, that among these are life, liberty and the pursuit of happiness". Most American conservatives similarly see the U.S. Constitution, which established a federal republic under the rule of law and was ratified by delegates to the Constitutional Convention in 1789, as a doctrine and guiding principle. Conservative philosophy also derives in part from the classical liberal tradition of the 17th, 18th, and 19th centuries, which advocated laissez-faire economics and was supportive of economic freedom and deregulation. Louis Hartz, a Harvard University political scientist and historian, has argued that socialism has failed to become established in the United States because of Americans' widespread acceptance of an enduring, underlying Lockean consensus. Patrick Allitt, an Emory University history professor, and political theorist Russell Kirk have asserted that conservative principles have played a major role in U.S. politics and culture since 1776 but argue that an organized conservative movement with an identifiable ideology and set of beliefs did not emerge in the U.S. East until at least the 1950s. Movement conservatism has its base in the Republican Party, which has adopted conservative policies since the 1950s. Beginning in the 1930s and continuing through the mid-1960s, Southern Democrats also were largely conservative. In 1937, they formed the conservative coalition in the U.S. Congress, and Southern conservatives have mostly been heavily Republican since the late 20th century.[citation needed] History Conservatism in the United States has never been represented by a national political party called the Conservative Party, as exists in Canada, the United Kingdom, and other nations. In American politics, however, conservatism has been the predominant guiding ideology of the Republican Party since at least the 1960s, and American conservatism also exists as a force in American politics, media, academia and culture. Both major U.S. political parties support republicanism and the classical liberal ideals on which the country was founded in 1776, which include an emphasis on liberty, the rule of law, the consent of the governed, and that all men were created equal, principles prominently articulated in the Declaration of Independence. Embrace of these principles by the Thirteen Colonies during the colonial era ultimately led a significant percent of Americans to conclude that these principles could never exist as long as they remained part of British America, governed by the Kingdom of Great Britain. This recognition grew in popularity as the American Revolution developed, leading the Second Continental Congress to ultimately embrace the cause of independence, which was secured after prevailing in the eight-year Revolutionary War against the British. Political conservatives have emphasized an identification with the Founding Fathers of the United States and the U.S. Constitution. Scholars of conservative political thought "generally label John Adams as the intellectual father of American conservatism". Russell Kirk points to Adams as the key Founding Father for conservatives, saying that "some writers regard him as America's most important conservative public man". In 1955, Clinton Rossiter, a professor of history at Mount Holyoke College, wrote: Here was no lover of government by plutocracy, no dreamer of an America filled with factions and hard-packed cities. Here was a man who loved America as it was and had been, one whose life was a doughty testament to the trials and glories of ordered liberty. Here ... was the model of the American conservative. A. Owen Aldridge places Adams "at the head of the conservative ranks in the early years of the Republic and Jefferson as the leader of the contrary liberal current." It was a fundamental doctrine for Adams that all men are subject to equal laws of morality. He held that in society, all men have a right to equal laws and treatment from the government. However, he added, "No two men are perfectly equal in person, property, understanding, activity, and virtue." Peter Viereck commented: Hamilton, Adams, and their Federalist party sought to establish in the new world what they called a "natural aristocracy". [It was to be] based on property, education, family status, and sense of ethical responsibility... Their motive was liberty itself. After Americans obtained independence with their victory in the Revolutionary War, political divisions in the U.S. have been depicted as seemingly minor compared to those in Europe, where the divide between the left and the right led to violent polarization, which began with the French Revolution in 1789. In contemporary American politics, no major U.S. political party has embraced ideals historically associated with European conservatism, including monarchy, an established church, or a hereditary aristocracy. In the 20th century, American conservatism emerged largely as a reaction against utopian ideas of progress and the political philosophy that emerged in Europe prior to the end of World War II in 1945. Russell Kirk, in The Conservative Mind, published in 1950, argued that the American Revolution was "a conservative reaction, in the English political tradition, against royal innovation".[undue weight? – discuss] In 2009, Emory University history professor Patrick Allitt wrote that attitude, not policy, was at the core of differences between liberals and conservatives, writing: Certain continuities can be traced through American history. The conservative 'attitude' ... was one of trusting to the past, to long-established patterns of thought and conduct, and of assuming that novelties were more likely to be dangerous than advantageous. In 2022, Matthew Continetti of the American Enterprise Institute wrote that the American conservative movement has been fractured for a century. Types Conservative leaders in the United States have not always represented a single school of thought, and American conservatism has evolved since it began emerging in the 1950s as one of the nation's predominant ideologies. Barry Goldwater, a U.S. Senator from Arizona, for instance, was an advocate for free enterprise in conservatism, which he made a centerpiece of his 1964 presidential campaign. Two decades later, in the 1980s, Jerry Falwell, founder of Liberty University and the Moral Majority, was primarily an advocate for traditional moral and religious social values.[citation needed] The history of American conservatism has also been marked by tensions and competing ideologies. During the Reagan era of the 1980s, a coalition of ideologies, known as "the Three Leg Stool" or "Fusionism', emerged, including three distinct segments of American conservatives: social conservatives, fiscal conservatives, and war hawks. As of the 21st century, American conservatism includes several varying ideological schools of thought, though conservatives on the whole often embrace all or several of these schools. They include: Ideology and political philosophy In February 1955, in the first issue of National Review, William F. Buckley Jr. explained the standards of his magazine and articulate the beliefs of American conservatives, writing: Among our convictions: It is the job of centralized government (in peacetime) to protect its citizens' lives, liberty and property. All other activities of government tend to diminish freedom and hamper progress. The growth of government (the dominant social feature of this century) must be fought relentlessly. In this great social conflict of the era, we are, without reservations, on the libertarian side. The profound crisis of our era is, in essence, the conflict between the Social Engineers, who seek to adjust mankind to scientific utopias, and the disciples of Truth, who defend the organic moral order. We believe that truth is neither arrived at nor illuminated by monitoring election results, binding though these are for other purposes, but by other means, including a study of human experience. On this point we are, without reservations, on the conservative side. According to Peter Viereck, a history professor at Mount Holyoke College, American conservatism is distinctive because it was not tied to a monarchy, landed aristocracy, established church, or military elite. Instead, American conservatives were firmly rooted in American republicanism, which European conservatives opposed. They are committed, Seymour Martin Lipset, a Harvard University political science and sociology professor, said, to a belief in America's "superiority against the cold reactionary monarchical and more rigidly status-bound system of European society." American conservatives have been heavily influenced by the classical liberal or libertarian tradition, which was expressed by Friedrich Hayek and Milton Friedman, and a major source of influence has been the Chicago school of economics. They have been strongly opposed to Keynesian economics. Traditional conservatives largely tend to be anti-ideological, identifying with the ideals of Edmund Burke, a member of the British House of Commons and author of Reflections on the Revolution in France and several other books associated with traditional conservatism, and Russell Kirk, a traditional conservative whose 1953 book, The Conservative Mind, was an influential overview of the development of the contemporary American conservative movement, which Kirk traces back to the writings of Burke. Kirk described American conservatism as a steady flow of "prescription and prejudice"; Kirk defines his use of the word "prejudice" as an inherited wisdom over the ages, rather than any form of discrimination. The Conservative Mind was widely praised following its release, with Whittaker Chambers calling it the most important book of the 20th century. During the second half of the 20th century, American conservatism included various cause-specific movements and was sometimes fragmented. Yet, one cause, opposition to communism, united these issue-specific causes and factions, which permitted it to begin emerging as an influential political force. American conservatives viewed communism and the Soviet Union during the Cold War as threatening in several serious ways, undermining traditionalism and order, contradicting the principles of the American Revolution, and representing a grave threat to the nation's security and preservation. Fiscal conservatism has ideological roots in capitalism, limited government, free enterprise, and laissez-faire economics. Fiscal conservatives typically support tax cuts, reduced government spending, free markets, deregulation, privatization, minimal government debt, and a balanced budget. They argue that low taxes produce more jobs and wealth for everyone, and, as President Grover Cleveland said, "unnecessary taxation is unjust taxation". A recent movement against the estate tax labels such a tax as a "death tax." Fiscal conservatives often argue that competition in the free market is more effective than the regulation of industry and is the most efficient way to promote economic growth. The Republican Party has taken widely varying views on protectionism and free trade throughout its history. Others, such as some libertarians and followers of Ludwig von Mises, believe all government intervention in the economy is wasteful, corrupt, and immoral. Fiscal conservatism advocates restraint of progressive taxation and expenditure. Fiscal conservatives since the 19th century have argued that debt is a device to corrupt politics; they argue that big spending ruins the morals of the people and that a national debt creates a dangerous class of speculators. A political strategy employed by conservatives to achieve a smaller government is known as starve the beast. Conservative activist Grover Norquist, a proponent of this strategy, said, "My goal is to cut government in half in twenty-five years, to get it down to the size where we can drown it in the bathtub." The argument in favor of balanced budgets is often coupled with a belief that government welfare programs should be narrowly tailored and that tax rates should be low, which implies relatively small government institutions. Neoconservatism emphasizes foreign policy over domestic policy. Its supporters, mainly war hawks, advocate a more militaristic, interventionist foreign policy aimed at promoting democracy abroad, which stands in stark contrast to Paleoconservatism's more isolationist foreign policy. Neoconservatives often name communism and Islamism as the biggest threats to the free world. They often oppose the United Nations for interfering with American unilateralism. National conservatism focuses on upholding national and cultural identity. National conservatives strongly identify with American nationalism, patriotism, and American exceptionalism, while opposing internationalism, globalism, and multiculturalism. The movement seeks to promote national interests through the preservation of traditional cultural values, restrictions on illegal immigration, and strict law and order policies. Social conservatism in the United States is the defense of traditional family values rooted in Judeo-Christian ethics and the nuclear family. There are two overlapping subgroups of social conservatives: traditional conservatives and religious conservatives. Traditional conservatives strongly support traditional codes of conduct, especially those they feel are threatened by social change and modernization. Religious conservatives focus on conducting society based on the morals prescribed by fundamentalist religious authorities, rejecting secularism and moral relativism. In the United States, this translates into hard-line stances on moral issues, such as opposition to abortion, LGBT rights, feminism, pornography, comprehensive sex education, and recreational drug use. Religious conservatives often assert that America is a Christian nation, calling for laws that enforce Christian morality. They often support school prayer, vouchers for parochial schools, and restricting or outlawing abortion. Social conservatives are strongest in the Southern "Bible Belt". Historian Kathleen G. Donohue argues that classical liberalism in the United States during the 19th century had distinctive characteristics as opposed to Britain: [A]t the center of classical liberal theory [in Europe] was the idea of laissez-faire. To the vast majority of American classical liberals, however, laissez-faire did not mean no government intervention at all. On the contrary, they were more than willing to see government provide tariffs, railroad subsidies, and internal improvements, all of which benefited producers. What they condemned was intervention in behalf of consumers. Economic liberalism owes its creation as an ideology to the classical liberal tradition, based on philosophies advanced by Adam Smith, Friedrich Hayek, Milton Friedman, and Ludwig von Mises. Classical liberals supported free markets on moral, ideological grounds: principles of individual liberty morally dictate support for free markets. Supporters of the moral grounds for free markets include Ayn Rand and Ludwig von Mises. The liberal tradition is suspicious of government authority and prefers individual choice, and hence tends to see free market capitalism as the preferable means of achieving economic ends. Economic liberalism borrows from two schools of thought: the classical liberals' pragmatism and the libertarians' notion of rights. Classical liberalism holds that free markets work best, while libertarianism contends that free markets are the only ethical markets. American conservatives' belief in the importance of civil society is another reason why they support a more limited role for government in the nation's economy. Alexis de Tocqueville believed extensive engagement of government in the economy makes people feel less responsible for society, and that the responsibility for society would then need to be taken over by the government, requiring higher taxes. In his book Democracy in America, published in the 19th century, Tocqueville described this as "soft oppression". There have been numerous large veterans organizations in American history, most notably the Grand Army of the Republic (GAR), the Veterans of Foreign Wars, and the American Legion. They have generally tended to be conservative in politics, with an emphasis on veterans' benefits. The GAR, according to Stuart McConnell, promoted "a nationalism that honored white, native-stock, middle-class males and affirmed a prewar ideal of a virtuous, millennial Republic, based on the independent producer, entrepreneurial capitalism, and the citizen-soldier volunteer." Political conservatism has been an important aspect of the American Legion since its founding in the 1920s. The American Legion always paid very close attention to domestic subversion, especially the threat of domestic communism. But it paid little attention to foreign affairs prior to the end of World War II in 1945. It ignored the League of Nations and was hostile to the Washington Naval Conference in 1921, which rolled back the naval arms race in the 1920s. Pacifism was popular in the 1920s, and Legion locals ridiculed it and sometimes booed the Women's International League for Peace and Freedom. During World War II, it accepted the wartime alliance with Stalin against Nazi Germany. As the Cold War commenced following the end of World War II in 1945, the Legion paid increasing attention to an anti-Soviet foreign policy. Its Counter-Subversive Activities Committee in 1946 began publishing the American Legion Firing Line, a newsletter for members that provides information on communist, fascist, and other extremist groups to its subscribers. It warned members against far-right groups such as the John Birch Society and anti-Semitic groups. By the late 1950s, the newsletter became much more interested in foreign affairs. The Legion's policy resolutions endorsed large-scale defense spending and the deployment of powerful new weapon systems, from the hydrogen bomb in the 1950s to Reagan's Strategic Defense Initiative in the 1980s. Harry S. Truman was the first Legionnaire to occupy the White House, but he came under Legion attack for waging a limited war in Korea and not following the advice of General Douglas MacArthur in attacking China. By 1961, the Legion outright rejected the policy of containment and called for the liberation of the captive peoples in Eastern Europe. The Legion publications typically hailed Barry Goldwater, a member, as a political role model, but like Goldwater and William F. Buckley, they rejected the extremism of the John Birch Society. The Legion supported increased intervention in Vietnam and support of anti-Communist forces in Central America and Afghanistan. The Legion never saw much benefit in the United Nations and, like other conservatives, worried about a loss of American sovereignty to international bodies. The collapse of Soviet-style communism in Eastern Europe and in Russia itself saw the American Legion looking to new venues for militaristic action. It praised President George H. W. Bush's intervention in Kuwait against Iraq in 1990. After the September 11 attacks, it vigorously endorsed President George W. Bush's strategy of a global war on terror, and it supported the invasion of Iraq in 2003. In 1962, Engel v. Vitale, a U.S. Supreme Court case, banned state-written prayers in public schools. White evangelicals mostly supported that decision. However, they saw the 1963 Abington School District v. Schempp decision to ban school-sponsored Bible reading and school-organized praying of the Lord's Prayer from those schools as an affront. The Supreme Court ruled that prayer organized by the school was not voluntary since students were coerced or publicly embarrassed if they did not follow along. But Conservatives continued to call for voluntary school prayer, which is already protected under law, and repeatedly attacked the Supreme Court on this issue and on other issues, especially abortion. The evangelicals had long been avid supporters of the public schools. Now they had to reconsider their place in both schools and society as a whole. They concluded with surprising unanimity that those school decisions had done more than force evangelical belief out of America's public schools; the decisions had pushed evangelicals themselves out of America's mainstream culture. Alienated, they moved into the religious right and by 1980 were avid supporters of Ronald Reagan. The archetypal free market conservative administrations of the late 20th century, the Margaret Thatcher government in Britain and the Reagan administration in the U.S., both held unfettered operation of the market to be the cornerstone of contemporary modern conservatism. Thatcher privatized industries and public housing, and Ronald Reagan cut the maximum capital gains tax from 28% to 20%, though in his second term he agreed to raise it back up to 28%. Reagan also cut individual income-tax rates, lowering the maximum rate from 70% to 28%. He increased defense spending, but liberal Democrats blocked his efforts to cut domestic spending. Reagan did not control the rapid increase in federal government spending or reduce the deficit, but his record looks better when expressed as a percent of the gross domestic product. Federal revenues as a percent of the GDP fell from 19.6% in 1981 when Reagan took office to 18.3% in 1989 when he left. Federal spending fell slightly from 22.2% of the GDP to 21.2%. This contrasts with statistics from 2004, when government spending was rising more rapidly than it had in decades. President Reagan set the conservative standard in the 1980s, which continued until the early 21st century. In the 2012 Republican presidential primary, most Republican presidential candidates "claimed to be standard bearers of Reagan's ideological legacy." Reagan solidified Republican strength by uniting its fiscal conservatives, social conservatives, and national conservatives into a conservative coalition. He did so with tax cuts, continued deregulation, a greatly increased military budget, a policy of rollback of Communism, known as the Reagan Doctrine, and appeals to family values and religious morality. The 1980s came to be known as the Reagan era. 21st-century policies According to conservative academic Sean Speer, some of the most important developments within the 21st-century American conservative movement include the rise of Donald Trump and right-wing populism more broadly, an emerging movement within conservatism that is opposed to both post-Cold War neoliberalism and liberalism more broadly, a generational change within conservatism causing a renewed emphasis on identity and culture among younger conservative figures, and the rise of social media platforms causing a fragmentation of traditional media platforms. According to historian Gary Gerstle, Trumpism gained support in a now strong opposition to neoliberalism, including opposition to free trade, immigration, and internationalism. Speer adds that these developments have caused "an erosion of the conservative consensus involving free markets, social conservatism, and a hawkish foreign policy (sometimes described as "fusionism") that provided the intellectual scaffolding for American conservatism essentially from the launch of National Review magazine in the mid-1950s to the second term of George W. Bush's presidency." Nate Cohn of The New York Times stated that Donald Trump's re-election in 2024 helped cement a realignment of right-wing populism as the dominant faction of American conservatism. According to political scientists Matt Grossmann and David A. Hopkins, the Republican Party's gains among white voters without college degrees contributed to the rise of right-wing populism. It has also contributed to conservative anti-intellectualism, including distrust of the news media, educational institutions, and science. In the 2024 United States presidential election, Trump won 56% of voters without a college degree, compared to 42% of voters with a college degree. Long-term shifts in American conservative thinking following the election of Trump have been described as a "new fusionism" of traditional conservative ideology and right-wing populist themes. These have resulted in shifts towards greater support of national conservatism, protectionism, cultural conservatism, a more realist foreign policy, a conspiracist subculture, a repudiation of neoconservatism, reduced efforts to roll back entitlement programs, and a disdain for traditional checks and balances. Many modern conservatives globally in general and in the U.S. in particular oppose environmentalism. Conservative beliefs often include global warming denial, and opposition towards government action to combat it. They contend that, even if human activity is contributing to climate change, environmental regulation would do more harm than good. An example of this is the center-right to right-wing stance of adaptation over mitigation. Many conservatives, such as former Mayor of New York City, Rudy Giuliani, promote using nuclear fission power over renewable energy sources. Among conservatives who do support government intervention to prevent climate change, they generally prefer market-based policies such as a carbon tax over blanket bans and regulation. In the past, conservatives have supported conservation efforts, from the protection of the Yosemite Valley to the creation of the Environmental Protection Agency. More recently, conservatives have opposed environmentalism, often calling environmentalists "tree huggers." Republican Party leaders such as Newt Gingrich and Michele Bachmann advocate the abolition of the EPA, calling it "the job-killing organization of America." Conservative think tanks since the 1990s have denied the concept of man-made global warming, challenged scientific evidence, publicized what they perceived as beneficial aspects of global warming, and asserted that proposed remedies would do more harm than good. The concept of anthropogenic global warming continues to be an ongoing debate among conservatives in the United States, but most conservatives reject the scientific consensus that climate change is caused by humans. A 2019 poll showed that fewer than 25% of Republicans believed humans were involved in causing global warming. American conservatives have generally supported deregulation of pollution and reduced restrictions on carbon emissions. Similarly, they have advocated increased oil drilling with less regulatory interference, including oil drilling in the Arctic National Wildlife Refuge. In the 2008 election, the phrase "Drill, baby, drill" was used to express the Republican position on the subject. President Donald Trump rolled back over 100 Obama-administration rules regarding the environment. President Trump also announced that the U.S. would stop making payments to the United Nations program "Green Climate Fund". Conservatives generally support a strong policy of law and order to control crime, including long jail terms for repeat offenders. Most support the death penalty for particularly egregious crimes. Conservatives often oppose criminal justice reform, including efforts to combat racial profiling, police brutality, mass incarceration, and the war on drugs. They deny that racism exists in the criminal justice system, often opposing organizations such as Black Lives Matter, which they view as anti-police groups. To conservatives, police officers are reacting to violent situations in a rational way and have been the victims of unfair discrimination. The "law and order" issue was a major factor weakening liberalism in the 1960s. Conservatives tend to be opposed to immigration, particularly illegal immigration. American conservative discourse generally opposes a social market economy due to opposing the welfare state. In this view, government programs that seek to provide services and opportunities for the poor encourage laziness and dependence while reducing self-reliance and personal responsibility. Conservatives typically hold that the government should play a smaller role in regulating business and managing the economy. They typically support economic liberalization and oppose welfare programs to redistribute income to assist the poor. Such efforts, they argue, do not properly reward people who have earned their money through hard work. However, conservatives usually place a strong emphasis on the role of private voluntary charitable organizations (especially faith-based charities) in helping the poor. Fiscal conservatives support privatization, believing that the private sector is more effective than the public sector. Many support school vouchers for private schools due to a belief that the performance of the public school system and teachers' unions is declining. They also favor private health care while opposing a universal health care system, claiming it constitutes socialized medicine. They often advocate for cuts to Social Security, Medicare, and Medicaid. Modern conservatives derive support for free markets from practical grounds. They argue that free markets are the most productive markets. But many modern American fiscal conservatives accept some social spending programs not specifically delineated in the Constitution. Some American fiscal conservatives view wider social liberalism as an impetus for increased spending on these programs. As such, fiscal conservatism today exists somewhere between classical liberalism and contemporary consequentialist political philosophies. Some conservatives oppose free trade policies and support protectionism and immigration reduction instead. They want government intervention to support the economy by protecting American jobs and businesses from foreign competition. They oppose free trade on the ground that it benefits other countries with lower wages or unfair trade practices (i.e. state-owned enterprises or state-provided subsidies) at the expense of American workers. They tend to support other free market principles like low taxes, limited government and balanced budgets. On social issues, many religious conservatives oppose changes in traditional moral standards regarding family, sexuality, and gender roles. They often oppose abortion, feminism, pornography, comprehensive sex education, homosexuality, same-sex marriage, transgender rights, secularism, atheism, and recreational drug use. The libertarian and fiscal conservative factions tend to instead focus on budgetary, monetary, and economic policies. Modern conservatives usually oppose programs such as affirmative action and reparations for slavery, believing that America is not a racist country. They therefore argue that legislation should be colorblind, with no consideration for race. Conservatives often embrace individualism, rejecting the collectivism associated with identity politics. In addition, many right-wing nationalists oppose any attempts by liberals to portray America's history, society, or government as racist, considering it unpatriotic. This has been particularly controversial as racial tensions have intensified since the 2010s, with points of contention including the 1619 Project, the removal of Confederate monuments and memorials, reparations for slavery, and the defund the police movement. Most conservatives oppose affirmative action based on race. Conservatives argue that affirmative action is not meritocratic, believing that job positions and college admissions should be earned through individual achievement rather than group identity. They oppose it as "reverse discrimination" that hinders reconciliation and worsens racial tensions. In the culture war of recent decades, multiculturalism has been a flashpoint, especially regarding the humanities curriculum. Historian Peter N. Stearns finds a polarization since the 1960s between conservatives who believe that the humanities express eternal truths that should be taught and those who think that the humanities curriculum should be tailored to demonstrate diversity. Generally, conservatism opposes the "identity politics" associated with multiculturalism and supports individualism. Cultural conservatives support monoculturalism and the preservation of traditional American culture. They often oppose multiculturalism and unchecked immigration. They favor a melting pot model of assimilation into the common English-speaking American culture, as opposed to a salad bowl approach that lends legitimacy to many different cultures. In the 21st century, conservatives have warned of the dangers of tolerating radical Islamic elements of the sort that they say are engaging in large-scale terrorism in Europe. Ross Douthat, a conservative commentator, argues that as liberalism becomes more dominant, conservatism should work to conserve basic values against liberal assault. In 2021, he wrote: Conservatism-under-liberalism should defend human goods that are threatened by liberal ideas taken to extremes. The family, when liberal freedom becomes a corrosive hyper-individualism. Traditional religion, when liberal toleration becomes a militant and superstitious secularism. Local community and local knowledge, against expert certainty and bureaucratic centralization. Artistic and intellectual greatness, when democratic taste turns philistine or liberal intellectuals become apparatchiks. The individual talent of the entrepreneur or businessman, against the leveling impulses of egalitarianism and the stultifying power of monopoly. Electoral politics According to a 2025 Gallup poll, 37% of American voters identify as "conservative" or "very conservative," 34% as "moderate," and 25% as "liberal" or "very liberal." These percentages were fairly constant from 1990 to 2009, when conservatism spiked in popularity briefly, before reverting to the original trend, while liberal views on social issues reached a new high. For Republicans, 77% self-identified as conservative, 18% as moderate, and 4% as liberal. For Democrats, 9% identified as conservative, 34% as moderate, and 55% as liberal. In the 21st century, conservatism appears to be growing stronger at the state level. In 2011, Richard Florida, a contributing writer to The Atlantic wrote that the trend is most pronounced among the "least well-off, least educated, most blue-collar, most economically hard-hit states." In the United States, the Republican Party has been the party of conservatism since the middle of 1963, when the conservatives largely took control. When President Kennedy announced his intention to advance the Civil Rights Act, he alienated the then-Democrat white conservatives in the South who strongly opposed the civil rights movement. Between 1960 and 2000, the White South moved from 3-1 Democratic to 3-1 Republican. In addition, some American libertarians, in the Libertarian Party and even some in the Republican Party, see themselves as conservative, even though they advocate significant economic and social changes—for instance, further dismantling the welfare system or liberalizing drug policy. They see these as conservative policies because they conform to the spirit of individual liberty that they consider to be a traditional American value. However, many libertarian think tanks, such as the Cato Institute, and libertarian intellectuals, such as David Boaz describe libertarianism as being "socially liberal and fiscally conservative." Alaska, the South, the Great Plains, and parts of the Mountain states and Midwest are generally conservative strongholds; in Mississippi, for instance, half of respondents identified themselves as conservatives, as opposed to moderates and liberals. The Northeast, parts of the Great Lakes region and Southwest, and the West Coast are the main liberal strongholds, with the fraction of Massachusetts self-identified conservatives being as low as 21%. In the 21st century, rural areas of the United States that are predominantly non-college educated, Christian, and White are generally conservative bastions. Voters in the urban cores of large metropolitan areas tend to be more liberal and Democratic. There is a clear urban–rural political divide within and among states. Other topics Russell Kirk developed six "canons" of conservatism, which Gerald J. Russello described as follows: Kirk said that Christianity and Western civilization are "unimaginable apart from one another" and that "all culture arises out of religion." When religious faith decays, culture must decline, though it often seems to flourish for a space after the religion that has nourished it has sunk into disbelief." In later works, Kirk expanded this list into his "Ten Principles of Conservatism" which are as follows: One stream of conservatism, exemplified by William Howard Taft, extols independent judges as experts in fairness and the final arbiters of the Constitution. In 1910, Theodore Roosevelt broke with most of his lawyer friends and called for popular votes that could overturn unwelcome decisions by state courts. Taft denounced his old friend and rallied conservatives to defeat him for the 1912 GOP nomination. Taft and the conservative Republicans controlled the Supreme Court until the late 1930s. President Franklin D. Roosevelt, a liberal Democrat, did not attack the Supreme Court directly in 1937 but ignited a firestorm of protest with a proposal to add seven new justices. Conservative Democrats immediately broke with President Roosevelt, defeated his proposal, and built up the conservative coalition. While the liberals did take over the Court through replacements, they lost control of Congress. That is, the Court no longer overthrew liberal laws passed by Congress, but there were very few such laws that passed in 1937–60. Conservatives' views of the courts are based on their beliefs: maintaining the present state of affairs, conventional and rule-oriented, and disapproval of government power. A recent variant of conservatism condemns "judicial activism"; that is, judges using their decisions to control policy, along the lines of the Warren Court in the 1960s. It came under conservative attack for decisions regarding redistricting, desegregation, and the rights of those accused of crimes. This position goes back to Jefferson's vehement attacks on federal judges and to Abraham Lincoln's attacks on the Dred Scott decision of 1857. A more recent variant that emerged in the 1980s is originalism, the assertion that the United States Constitution should be interpreted to the maximum extent possible in the light of what it meant when it was adopted. Originalism should not be confused with a similar conservative ideology, strict constructionism, which deals with the interpretation of the Constitution as written, but not necessarily within the context of the time when it was adopted. For example, the term "originalism" has been used by current Supreme Court justices Samuel Alito and Clarence Thomas, as well as former federal judges Robert Bork and Antonin Scalia, to explain their beliefs. Former Supreme Court Justice Sandra Day O'Connor, writing for the majority in Gregory v. Ashcroft 501 U.S. 452 (1991), said there are significant advantages to federalism and the recognition of state rights: The federalist structure of joint sovereigns preserves to the people numerous advantages. It assures a decentralized government that will be more sensitive to the diverse needs of a heterogeneous society; it increases opportunity for citizen involvement in democratic processes; it allows for more innovation and experimentation in government; and it makes government more responsive by putting the States in competition for a mobile citizenry. From the left, law professor Herman Schwartz argues that Rehnquist's reliance on federalism and states' rights has been a "fig leaf for conservatives": Today's conservative Supreme Court majority, led by Chief Justice William H. Rehnquist, has imposed limitations on federal power to curtail the rights of women, religious groups, the elderly, racial minorities, and other disadvantaged groups. ... The conservatives have shrunk the scope of the commerce clause, developed implied limitations on federal authority, and narrowly construed the Civil War amendments. Conservatives have used the word Socialist as a "rhetorical weapon" against political opponents. David Hinshaw writes that William Allen White, editor of a small-town newspaper in Kansas from 1895, used "socialistic" as "his big gun to blast radical opposition". White set "Americanism" as the alternative, warning, "The election will sustain Americanism, or it will plant Socialism." White became famous when Mark Hanna, campaign manager for Republican candidate William McKinley distributed upwards of a million or more copies of one White editorial to rally opposition to William Jennings Bryan, the nominee of both the Democratic and Populist parties. By the 1950s, the conservative press had discovered that socialism "proved to be a successful derogatory epithet rather than a descriptive label for a meaningful political alternative". At the 1952 Republican National Convention, former President Herbert Hoover repeated his warnings about two decades of New Deal policies, denouncing, says Gary Best, "the usurpation of power by the federal government, the loss of freedom in America, the poisoning of the American economy with fascism, socialism, and Keynesianism, and the enormous growth of the federal bureaucracy." In 1960, Barry Goldwater called for Republican unity against John F. Kennedy and the "blueprint for socialism presented by the Democrats." In 1964, Goldwater attacked central planners like fellow Republican Nelson Rockefeller, implying he was a socialist in a millionaire's garb: "The Democratic party believes in what I call socialism, and if that upsets anybody's stomach, let me remind you that central planning of our economy is socialism." Ronald Reagan often quoted Norman Thomas, the perennial Socialist nominee for president in the New Deal era, as allegedly saying, "The American people would never knowingly vote for Socialism, but that under the name of liberalism, they would adopt every fragment of the socialist program." In 2010, Newt Gingrich defined "socialism in the broad sense" as "a government-dominated, bureaucratically controlled, politician-dictated way of life." Gingrich stated that President Barack Obama was "committed to socialism." In the late 1980s, the resurgence of talk radio provided conservatives with a significant new medium for communication. William G. Mayer reports that "conservatives dominate talk radio to an overwhelming, remarkable degree." This dominance enabled them to spread their message much more effectively to the general public, which had previously been confined to the major Big Three television networks. Political scientists Jeffrey M. Berry and Sarah Sobieraj conclude that "conservatives like talk radio because they believe it tells them the truth. Liberals appear to be much more satisfied with the mainstream media and are more likely to believe that it is accurate." Rush Limbaugh proved there was a huge nationwide audience for specific and heated discussions of current events from a conservative viewpoint. Other major hosts who describe themselves as conservative include: Michael Peroutka, Jim Quinn, Dennis Miller, Ben Ferguson, William Bennett, Andrew Wilkow, Lars Larson, Sean Hannity, G. Gordon Liddy, Laura Ingraham, Mike Church, Glenn Beck, Mark Levin, Michael Savage, Kim Peterson, Ben Shapiro, Michael Reagan, Jason Lewis, Ken Hamblin, and Herman Cain. The Salem Radio Network syndicates a group of religiously oriented Republican activists, including Roman Catholic Hugh Hewitt and Jewish conservatives Dennis Prager and Michael Medved. One popular Jewish conservative, Laura Schlessinger, offers parental and personal advice but is outspoken on social and political issues. In 2011, the largest weekly audiences for talk radio were 15 million for Limbaugh and 14 million for Hannity, with about nine million each for Glenn Beck, Michael Savage and Mark Levin. The audiences overlap, depending on how many each listener dials into every week. Fox News features conservative hosts. One such host is Sean Hannity, who also has a talk radio program. One former host is Matt Drudge; prior, and after his time on Fox News Drudge has operated Drudge Report, a news aggregation website, and is a self-professed conservative. It is more conservative than other news sources in the United States, such as National Public Radio and CNN. Canadian-American political commentator David Frum has been a critic of this development and has argued that the influence of conservative talk radio and Fox News has harmed American conservatism, turning it from "a political philosophy into a market segment" for extremism and conflict, making "for bad politics but great TV." Whereas liberals and conservatives held similar attitudes towards science up until the 1990s, conservatives in the United States subsequently began to display lower levels of confidence in scientific consensus. Conservatives are substantially more likely than moderates and liberals to reject the scientific consensus on climate change. Conservatives are also more likely than liberals to hold anti-vaccine views. According to a 2023 Gallup poll, confidence in higher education among Republicans declined sharply from 56% in 2015 to 19% in 2023. Among Democrats, confidence in higher education decreased from 68% in 2015 to 59% in 2023. The Republican Party has steadily increased the percentage of votes it receives from white voters without college degrees since the 1970s, even as the educational attainment of the United States has steadily increased. Since the 2010s, a similar trend in the opposite direction has been seen among white voters with college degrees, who have been increasingly voting for the Democratic Party. Liberal and leftist viewpoints have dominated higher education faculties since the 1970s, according to many studies, whereas conservatives are better represented in policy-oriented think tanks. Data from a survey conducted in 2004 indicated that 72% of full-time faculty identify as liberal, while 9–18% self-identify as conservative. Conservative self-identification is higher in two-year colleges than other categories of higher education but has been declining overall. Those in natural sciences, engineering, and business were less liberal than those in the social sciences and humanities. A 2005 study found that liberal views had increased compared to the older studies. 15% in the survey described themselves as center-right. While the humanities and the social sciences are still the most left-leaning, 67% of those in other fields combined described themselves as center-left on the spectrum. In business and engineering, liberals outnumber conservatives by a 2:1 ratio. The study also found that more women, practicing Christians, and Republicans taught at lower-ranked schools than would be expected from objectively measured professional accomplishments. A study by psychologists at Tilburg University, published in September 2012 in the journal Perspectives on Psychological Science, found that, in social and personal psychology, about a third of those surveyed say that they would to a small extent favor a liberal point of view over a conservative point of view. A 2007 poll found that 58% of Americans thought that college professors' political bias was a "serious problem." This varied depending on the political views of those asked. 91% of "very conservative" adults agreed compared with only 3% of liberals. That same year, a documentary called Indoctrinate U was released, which focuses on the perceived bias within academia. On the other hand, liberal critic Paul Krugman wrote in The New York Times that this phenomenon is more due to personal choice than some kind of discrimination or conspiracy, noting that, for example, vocations such as military officers are much more likely to be filled by conservatives rather than liberals. Additionally, two studies published in the journal of the American Political Science Association have suggested that the political orientations of college students' professors have little influence or "indoctrination" in terms of students' political belief. Postmodernism is an approach common in the humanities at universities that greatly troubles conservative intellectuals. The point of contention is the debate over moral relativism versus moral absolutism. Ellen Grigsby says, "Postmodern perspectives contend that any ideology putting forward absolute statements as timeless truths should be viewed with profound skepticism." Kellner says, "Postmodern discourse frequently argues that all discourses and values are socially constructed and laden with interests and biases. Against postmodern and liberal relativism, cultural conservatives have argued for values of universal truth and absolute standards of right and wrong." Neoconservative historian Gertrude Himmelfarb has energetically rejected postmodern academic approaches: [Postmodernism in history] is a denial of the objectivity of the historian, of the factuality or reality of the past, and thus of the possibility of arriving at any truths about the past. For all disciplines it induces a radical skepticism, relativism, and subjectivism that denies not this or that truth about any subject but the very idea of truth—that denies even the ideal of truth, truth is something to aspire to even if it can never be fully attained. Jay Stevenson wrote the following representative summary of postmodern literary studies of the sort that antagonize conservatives: [In the postmodern period,] traditional literature has been found to have been written by "dead white males" to serve the ideological aims of a conservative and repressive Anglo hegemony. ... In an array of reactions against the race, gender, and class biases found to be woven into the tradition of Anglo lit, multicultural writers and political literary theorists have sought to expose, resist, and redress injustices and prejudices. These prejudices are often covert—disguised in literature and other discourses as positive ideals and objective truths—but they slant our sense of reality in favor of power and privilege. Conservative intellectuals have championed a "high conservative modernism" that insists that universal truths exist and have opposed approaches that deny the existence of universal truths. Many argued that natural law was the repository of timeless truths. Allan Bloom, in his highly influential The Closing of the American Mind (1987) argues that moral degradation results from ignorance of the great classics that shaped Western culture. His book was widely cited by conservative intellectuals for its argument that the classics contained universal truths and timeless values, which were being ignored by cultural relativists. In Postwar American Fiction and the Rise of Modern Conservatism: A Literary History, 1945 - 2008 (Cambridge University Press, 2021), Bryan M. Santin argues that conservative literary tastes have shifted over time. He argues that this shift registered and mediated the deeper foundational antinomy structuring postwar conservatism itself: the stable social order of traditionalism and the creative destruction of free-market capitalism. Postwar conservatives produced, in effect, an ambivalent double register in the discourse of conservative literary taste that sought to celebrate neo-aristocratic manifestations of cultural capital while condemning newer, more progressive manifestations revolving around racial and ethnic diversity. Historiography In recent years, historians have agreed that they need to rethink the role of conservatism in recent American history. An important new approach rejects the older consensus that liberalism was the dominant ethos. Labor historians Jefferson Cowie and Nick Salvatore argue the New Deal was a short-term response to the depression and did not mark a permanent commitment to a welfare state, claiming that America has always been too individualistic and too hostile to labor unions to ever embrace liberalism for any extended period of time. This new interpretation argues that conservatism has largely dominated American politics since the 1920s, with the brief exceptions of the New Deal era (1933–1938) and the Great Society (1964–1966). However, historian Julian Zelizer argues that "the coherence of conservatism has been exaggerated. The movement was as fragile as the New Deal coalition that it replaced. ... Policy change has thus proved to be much more difficult than conservatives hoped for." Zelizer does find four areas where conservatives did make major changes, namely retrenchment of domestic programs, lowering taxes, deregulation, and opposition to labor unions. He concludes, "The fact is that liberalism survived the rise of conservatism." American conservatives typically promote American exceptionalism, the idea that the United States is inherently exceptional and has a duty to lead in spreading democracy and free markets to the world. Reagan was an advocate of American exceptionalism, and many liberals also agree with it. Proponents of American exceptionalism believe that the American values that emerged from the American Revolution created what Harvard University political scientist and sociologist Seymour Martin Lipset, in 1963, called "the first new nation" and developing a uniquely American ideology, "Americanism", based on liberty, egalitarianism, individualism, republicanism, democracy, laissez-faire capitalism and Judeo-Christian values. American exceptionalism does not mean that the United States is superior to other nations, though some conservatives have used the phrase in that context. American conservatives also have argued that the U.S. is a "City upon a Hill", a phrase Jesus used in the Sermon on the Mount and which is attributed to Jesus in the Gospel of Matthew. Beginning in 1630, the phrase "city upon a hill" was used frequently by Puritan settlers in the Province of Massachusetts Bay during the colonial era, who believed America was exempted from the historical forces that have impacted other nations. In January 1989, in his farewell address to the nation, Ronald Reagan also cited the phrase, saying, "the past few days when I've been at that window upstairs, I've thought a bit of the 'shining city upon a hill.' The phrase comes from John Winthrop, who wrote it to describe the America he imagined. What he imagined was important because he was an early Pilgrim, an early freedom man. He journeyed here on what today we'd call a little wooden boat; and like the other Pilgrims, he was looking for a home that would be free Notable individuals In 1956, Clinton Rossiter, a professor of political science at Cornell University, published Conservatism in America, which he summarized in an article, "The Giants of American Conservatism", published in American Heritage magazine. His goal was to identify the "great men who did conservative deeds, thought conservative thoughts, practiced conservative virtues, and stood for conservative principles." To Rossiter, conservatism was defined by the rule of the upper class. He wrote, "The Right of these freewheeling decades was a genuine Right: it was led by the rich and well-placed; it was skeptical of popular government; it was opposed to all parties, unions, leagues, or other movements that sought to invade its positions of power and profit; it was politically, socially, and culturally anti-radical." Rossiter's "giants of American conservatism" include John Adams, Alexander Hamilton, John Marshall, Daniel Webster, John C. Calhoun, Elihu Root, and Theodore Roosevelt. He added that George Washington and Abraham Lincoln transcended political ideology, but that conservatives "may argue with some conviction that Washington and Lincoln can also be added to his list." Among fathers of the U.S. Constitution, which Rossiter calls "a triumph of conservative statesmanship", he said conservatives may "take special pride" in James Madison, James Wilson, Roger Sherman, John Dickinson, Gouverneur Morris, and the Pinckneys of South Carolina. For the early 19th century, Rossiter said the libertarians and constitutionalists who deserve credit for leading the fight against Jacksonian democracy are Joseph Story and Josiah Quincy in Massachusetts, James Kent in New York, and James Madison, James Monroe, and John Randolph of Roanoke in Virginia. At the end of the 19th century, Rossiter says, Grover Cleveland, Elihu Root, William Howard Taft, and Theodore Roosevelt "were most successful in shaping the old truths of conservatism to the new facts of industrialism and democracy." In what Rossiter called the "Great Train Robbery of Intellectual History," he says conservatives appropriated the themes of classical liberalism, especially liberty, opportunity, progress, and individualism, and packaged them into an ideology that supported the property rights of big corporations. Writing in 1955, Rossiter suggested that Robert A. Taft, Charles Evans Hughes, and Dwight D. Eisenhower may someday be added to the list. See also Conservatism abroad References Further reading External links |
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Contents Animal Animals are multicellular, eukaryotic organisms belonging to the biological kingdom Animalia (/ˌænɪˈmeɪliə/). With few exceptions, animals consume organic material, breathe oxygen, have myocytes and are able to move, can reproduce sexually, and grow from a hollow sphere of cells, the blastula, during embryonic development. Animals form a clade, meaning that they arose from a single common ancestor. Over 1.5 million living animal species have been described, of which around 1.05 million are insects, over 85,000 are molluscs, and around 65,000 are vertebrates. It has been estimated there are as many as 7.77 million animal species on Earth. Animal body lengths range from 8.5 μm (0.00033 in) to 33.6 m (110 ft). They have complex ecologies and interactions with each other and their environments, forming intricate food webs. The scientific study of animals is known as zoology, and the study of animal behaviour is known as ethology. The animal kingdom is divided into five major clades, namely Porifera, Ctenophora, Placozoa, Cnidaria and Bilateria. Most living animal species belong to the clade Bilateria, a highly proliferative clade whose members have a bilaterally symmetric and significantly cephalised body plan, and the vast majority of bilaterians belong to two large clades: the protostomes, which includes organisms such as arthropods, molluscs, flatworms, annelids and nematodes; and the deuterostomes, which include echinoderms, hemichordates and chordates, the latter of which contains the vertebrates. The much smaller basal phylum Xenacoelomorpha have an uncertain position within Bilateria. Animals first appeared in the fossil record in the late Cryogenian period and diversified in the subsequent Ediacaran period in what is known as the Avalon explosion. Nearly all modern animal phyla first appeared in the fossil record as marine species during the Cambrian explosion, which began around 539 million years ago (Mya), and most classes during the Ordovician radiation 485.4 Mya. Common to all living animals, 6,331 groups of genes have been identified that may have arisen from a single common ancestor that lived about 650 Mya during the Cryogenian period. Historically, Aristotle divided animals into those with blood and those without. Carl Linnaeus created the first hierarchical biological classification for animals in 1758 with his Systema Naturae, which Jean-Baptiste Lamarck expanded into 14 phyla by 1809. In 1874, Ernst Haeckel divided the animal kingdom into the multicellular Metazoa (now synonymous with Animalia) and the Protozoa, single-celled organisms no longer considered animals. In modern times, the biological classification of animals relies on advanced techniques, such as molecular phylogenetics, which are effective at demonstrating the evolutionary relationships between taxa. Humans make use of many other animal species for food (including meat, eggs, and dairy products), for materials (such as leather, fur, and wool), as pets and as working animals for transportation, and services. Dogs, the first domesticated animal, have been used in hunting, in security and in warfare, as have horses, pigeons and birds of prey; while other terrestrial and aquatic animals are hunted for sports, trophies or profits. Non-human animals are also an important cultural element of human evolution, having appeared in cave arts and totems since the earliest times, and are frequently featured in mythology, religion, arts, literature, heraldry, politics, and sports. Etymology The word animal comes from the Latin noun animal of the same meaning, which is itself derived from Latin animalis 'having breath or soul'. The biological definition includes all members of the kingdom Animalia. In colloquial usage, the term animal is often used to refer only to nonhuman animals. The term metazoa is derived from Ancient Greek μετα meta 'after' (in biology, the prefix meta- stands for 'later') and ζῷᾰ zōia 'animals', plural of ζῷον zōion 'animal'. A metazoan is any member of the group Metazoa. Characteristics Animals have several characteristics that they share with other living things. Animals are eukaryotic, multicellular, and aerobic, as are plants and fungi. Unlike plants and algae, which produce their own food, animals cannot produce their own food, a feature they share with fungi. Animals ingest organic material and digest it internally. Animals have structural characteristics that set them apart from all other living things: Typically, there is an internal digestive chamber with either one opening (in Ctenophora, Cnidaria, and flatworms) or two openings (in most bilaterians). Animal development is controlled by Hox genes, which signal the times and places to develop structures such as body segments and limbs. During development, the animal extracellular matrix forms a relatively flexible framework upon which cells can move about and be reorganised into specialised tissues and organs, making the formation of complex structures possible, and allowing cells to be differentiated. The extracellular matrix may be calcified, forming structures such as shells, bones, and spicules. In contrast, the cells of other multicellular organisms (primarily algae, plants, and fungi) are held in place by cell walls, and so develop by progressive growth. Nearly all animals make use of some form of sexual reproduction. They produce haploid gametes by meiosis; the smaller, motile gametes are spermatozoa and the larger, non-motile gametes are ova. These fuse to form zygotes, which develop via mitosis into a hollow sphere, called a blastula. In sponges, blastula larvae swim to a new location, attach to the seabed, and develop into a new sponge. In most other groups, the blastula undergoes more complicated rearrangement. It first invaginates to form a gastrula with a digestive chamber and two separate germ layers, an external ectoderm and an internal endoderm. In most cases, a third germ layer, the mesoderm, also develops between them. These germ layers then differentiate to form tissues and organs. Repeated instances of mating with a close relative during sexual reproduction generally leads to inbreeding depression within a population due to the increased prevalence of harmful recessive traits. Animals have evolved numerous mechanisms for avoiding close inbreeding. Some animals are capable of asexual reproduction, which often results in a genetic clone of the parent. This may take place through fragmentation; budding, such as in Hydra and other cnidarians; or parthenogenesis, where fertile eggs are produced without mating, such as in aphids. Ecology Animals are categorised into ecological groups depending on their trophic levels and how they consume organic material. Such groupings include carnivores (further divided into subcategories such as piscivores, insectivores, ovivores, etc.), herbivores (subcategorised into folivores, graminivores, frugivores, granivores, nectarivores, algivores, etc.), omnivores, fungivores, scavengers/detritivores, and parasites. Interactions between animals of each biome form complex food webs within that ecosystem. In carnivorous or omnivorous species, predation is a consumer–resource interaction where the predator feeds on another organism, its prey, who often evolves anti-predator adaptations to avoid being fed upon. Selective pressures imposed on one another lead to an evolutionary arms race between predator and prey, resulting in various antagonistic/competitive coevolutions. Almost all multicellular predators are animals. Some consumers use multiple methods; for example, in parasitoid wasps, the larvae feed on the hosts' living tissues, killing them in the process, but the adults primarily consume nectar from flowers. Other animals may have very specific feeding behaviours, such as hawksbill sea turtles which mainly eat sponges. Most animals rely on biomass and bioenergy produced by plants and phytoplanktons (collectively called producers) through photosynthesis. Herbivores, as primary consumers, eat the plant material directly to digest and absorb the nutrients, while carnivores and other animals on higher trophic levels indirectly acquire the nutrients by eating the herbivores or other animals that have eaten the herbivores. Animals oxidise carbohydrates, lipids, proteins and other biomolecules in cellular respiration, which allows the animal to grow and to sustain basal metabolism and fuel other biological processes such as locomotion. Some benthic animals living close to hydrothermal vents and cold seeps on the dark sea floor consume organic matter produced through chemosynthesis (via oxidising inorganic compounds such as hydrogen sulfide) by archaea and bacteria. Animals originated in the ocean; all extant animal phyla, except for Micrognathozoa and Onychophora, feature at least some marine species. However, several lineages of arthropods begun to colonise land around the same time as land plants, probably between 510 and 471 million years ago, during the Late Cambrian or Early Ordovician. Vertebrates such as the lobe-finned fish Tiktaalik started to move on to land in the late Devonian, about 375 million years ago. Other notable animal groups that colonized land environments are Mollusca, Platyhelmintha, Annelida, Tardigrada, Onychophora, Rotifera, Nematoda. Animals occupy virtually all of earth's habitats and microhabitats, with faunas adapted to salt water, hydrothermal vents, fresh water, hot springs, swamps, forests, pastures, deserts, air, and the interiors of other organisms. Animals are however not particularly heat tolerant; very few of them can survive at constant temperatures above 50 °C (122 °F) or in the most extreme cold deserts of continental Antarctica. The collective global geomorphic influence of animals on the processes shaping the Earth's surface remains largely understudied, with most studies limited to individual species and well-known exemplars. Diversity The blue whale (Balaenoptera musculus) is the largest animal that has ever lived, weighing up to 190 tonnes and measuring up to 33.6 metres (110 ft) long. The largest extant terrestrial animal is the African bush elephant (Loxodonta africana), weighing up to 12.25 tonnes and measuring up to 10.67 metres (35.0 ft) long. The largest terrestrial animals that ever lived were titanosaur sauropod dinosaurs such as Argentinosaurus, which may have weighed as much as 73 tonnes, and Supersaurus which may have reached 39 metres. Several animals are microscopic; some Myxozoa (obligate parasites within the Cnidaria) never grow larger than 20 μm, and one of the smallest species (Myxobolus shekel) is no more than 8.5 μm when fully grown. The following table lists estimated numbers of described extant species for the major animal phyla, along with their principal habitats (terrestrial, fresh water, and marine), and free-living or parasitic ways of life. Species estimates shown here are based on numbers described scientifically; much larger estimates have been calculated based on various means of prediction, and these can vary wildly. For instance, around 25,000–27,000 species of nematodes have been described, while published estimates of the total number of nematode species include 10,000–20,000; 500,000; 10 million; and 100 million. Using patterns within the taxonomic hierarchy, the total number of animal species—including those not yet described—was calculated to be about 7.77 million in 2011.[a] 3,000–6,500 4,000–25,000 Evolutionary origin Evidence of animals is found as long ago as the Cryogenian period. 24-Isopropylcholestane (24-ipc) has been found in rocks from roughly 650 million years ago; it is only produced by sponges and pelagophyte algae. Its likely origin is from sponges based on molecular clock estimates for the origin of 24-ipc production in both groups. Analyses of pelagophyte algae consistently recover a Phanerozoic origin, while analyses of sponges recover a Neoproterozoic origin, consistent with the appearance of 24-ipc in the fossil record. The first body fossils of animals appear in the Ediacaran, represented by forms such as Charnia and Spriggina. It had long been doubted whether these fossils truly represented animals, but the discovery of the animal lipid cholesterol in fossils of Dickinsonia establishes their nature. Animals are thought to have originated under low-oxygen conditions, suggesting that they were capable of living entirely by anaerobic respiration, but as they became specialised for aerobic metabolism they became fully dependent on oxygen in their environments. Many animal phyla first appear in the fossil record during the Cambrian explosion, starting about 539 million years ago, in beds such as the Burgess Shale. Extant phyla in these rocks include molluscs, brachiopods, onychophorans, tardigrades, arthropods, echinoderms and hemichordates, along with numerous now-extinct forms such as the predatory Anomalocaris. The apparent suddenness of the event may however be an artefact of the fossil record, rather than showing that all these animals appeared simultaneously. That view is supported by the discovery of Auroralumina attenboroughii, the earliest known Ediacaran crown-group cnidarian (557–562 mya, some 20 million years before the Cambrian explosion) from Charnwood Forest, England. It is thought to be one of the earliest predators, catching small prey with its nematocysts as modern cnidarians do. Some palaeontologists have suggested that animals appeared much earlier than the Cambrian explosion, possibly as early as 1 billion years ago. Early fossils that might represent animals appear for example in the 665-million-year-old rocks of the Trezona Formation of South Australia. These fossils are interpreted as most probably being early sponges. Trace fossils such as tracks and burrows found in the Tonian period (from 1 gya) may indicate the presence of triploblastic worm-like animals, roughly as large (about 5 mm wide) and complex as earthworms. However, similar tracks are produced by the giant single-celled protist Gromia sphaerica, so the Tonian trace fossils may not indicate early animal evolution. Around the same time, the layered mats of microorganisms called stromatolites decreased in diversity, perhaps due to grazing by newly evolved animals. Objects such as sediment-filled tubes that resemble trace fossils of the burrows of wormlike animals have been found in 1.2 gya rocks in North America, in 1.5 gya rocks in Australia and North America, and in 1.7 gya rocks in Australia. Their interpretation as having an animal origin is disputed, as they might be water-escape or other structures. Phylogeny Animals are monophyletic, meaning they are derived from a common ancestor. Animals are the sister group to the choanoflagellates, with which they form the Choanozoa. Ros-Rocher and colleagues (2021) trace the origins of animals to unicellular ancestors, providing the external phylogeny shown in the cladogram. Uncertainty of relationships is indicated with dashed lines. The animal clade had certainly originated by 650 mya, and may have come into being as much as 800 mya, based on molecular clock evidence for different phyla. Holomycota (inc. fungi) Ichthyosporea Pluriformea Filasterea The relationships at the base of the animal tree have been debated. Other than Ctenophora, the Bilateria and Cnidaria are the only groups with symmetry, and other evidence shows they are closely related. In addition to sponges, Placozoa has no symmetry and was often considered a "missing link" between protists and multicellular animals. The presence of hox genes in Placozoa shows that they were once more complex. The Porifera (sponges) have long been assumed to be sister to the rest of the animals, but there is evidence that the Ctenophora may be in that position. Molecular phylogenetics has supported both the sponge-sister and ctenophore-sister hypotheses. In 2017, Roberto Feuda and colleagues, using amino acid differences, presented both, with the following cladogram for the sponge-sister view that they supported (their ctenophore-sister tree simply interchanging the places of ctenophores and sponges): Porifera Ctenophora Placozoa Cnidaria Bilateria Conversely, a 2023 study by Darrin Schultz and colleagues uses ancient gene linkages to construct the following ctenophore-sister phylogeny: Ctenophora Porifera Placozoa Cnidaria Bilateria Sponges are physically very distinct from other animals, and were long thought to have diverged first, representing the oldest animal phylum and forming a sister clade to all other animals. Despite their morphological dissimilarity with all other animals, genetic evidence suggests sponges may be more closely related to other animals than the comb jellies are. Sponges lack the complex organisation found in most other animal phyla; their cells are differentiated, but in most cases not organised into distinct tissues, unlike all other animals. They typically feed by drawing in water through pores, filtering out small particles of food. The Ctenophora and Cnidaria are radially symmetric and have digestive chambers with a single opening, which serves as both mouth and anus. Animals in both phyla have distinct tissues, but these are not organised into discrete organs. They are diploblastic, having only two main germ layers, ectoderm and endoderm. The tiny placozoans have no permanent digestive chamber and no symmetry; they superficially resemble amoebae. Their phylogeny is poorly defined, and under active research. The remaining animals, the great majority—comprising some 29 phyla and over a million species—form the Bilateria clade, which have a bilaterally symmetric body plan. The Bilateria are triploblastic, with three well-developed germ layers, and their tissues form distinct organs. The digestive chamber has two openings, a mouth and an anus, and in the Nephrozoa there is an internal body cavity, a coelom or pseudocoelom. These animals have a head end (anterior) and a tail end (posterior), a back (dorsal) surface and a belly (ventral) surface, and a left and a right side. A modern consensus phylogenetic tree for the Bilateria is shown below. Xenacoelomorpha Ambulacraria Chordata Ecdysozoa Spiralia Having a front end means that this part of the body encounters stimuli, such as food, favouring cephalisation, the development of a head with sense organs and a mouth. Many bilaterians have a combination of circular muscles that constrict the body, making it longer, and an opposing set of longitudinal muscles, that shorten the body; these enable soft-bodied animals with a hydrostatic skeleton to move by peristalsis. They also have a gut that extends through the basically cylindrical body from mouth to anus. Many bilaterian phyla have primary larvae which swim with cilia and have an apical organ containing sensory cells. However, over evolutionary time, descendant spaces have evolved which have lost one or more of each of these characteristics. For example, adult echinoderms are radially symmetric (unlike their larvae), while some parasitic worms have extremely simplified body structures. Genetic studies have considerably changed zoologists' understanding of the relationships within the Bilateria. Most appear to belong to two major lineages, the protostomes and the deuterostomes. It is often suggested that the basalmost bilaterians are the Xenacoelomorpha, with all other bilaterians belonging to the subclade Nephrozoa. However, this suggestion has been contested, with other studies finding that xenacoelomorphs are more closely related to Ambulacraria than to other bilaterians. Protostomes and deuterostomes differ in several ways. Early in development, deuterostome embryos undergo radial cleavage during cell division, while many protostomes (the Spiralia) undergo spiral cleavage. Animals from both groups possess a complete digestive tract, but in protostomes the first opening of the embryonic gut develops into the mouth, and the anus forms secondarily. In deuterostomes, the anus forms first while the mouth develops secondarily. Most protostomes have schizocoelous development, where cells simply fill in the interior of the gastrula to form the mesoderm. In deuterostomes, the mesoderm forms by enterocoelic pouching, through invagination of the endoderm. The main deuterostome taxa are the Ambulacraria and the Chordata. Ambulacraria are exclusively marine and include acorn worms, starfish, sea urchins, and sea cucumbers. The chordates are dominated by the vertebrates (animals with backbones), which consist of fishes, amphibians, reptiles, birds, and mammals. The protostomes include the Ecdysozoa, named after their shared trait of ecdysis, growth by moulting, Among the largest ecdysozoan phyla are the arthropods and the nematodes. The rest of the protostomes are in the Spiralia, named for their pattern of developing by spiral cleavage in the early embryo. Major spiralian phyla include the annelids and molluscs. History of classification In the classical era, Aristotle divided animals,[d] based on his own observations, into those with blood (roughly, the vertebrates) and those without. The animals were then arranged on a scale from man (with blood, two legs, rational soul) down through the live-bearing tetrapods (with blood, four legs, sensitive soul) and other groups such as crustaceans (no blood, many legs, sensitive soul) down to spontaneously generating creatures like sponges (no blood, no legs, vegetable soul). Aristotle was uncertain whether sponges were animals, which in his system ought to have sensation, appetite, and locomotion, or plants, which did not: he knew that sponges could sense touch and would contract if about to be pulled off their rocks, but that they were rooted like plants and never moved about. In 1758, Carl Linnaeus created the first hierarchical classification in his Systema Naturae. In his original scheme, the animals were one of three kingdoms, divided into the classes of Vermes, Insecta, Pisces, Amphibia, Aves, and Mammalia. Since then, the last four have all been subsumed into a single phylum, the Chordata, while his Insecta (which included the crustaceans and arachnids) and Vermes have been renamed or broken up. The process was begun in 1793 by Jean-Baptiste de Lamarck, who called the Vermes une espèce de chaos ('a chaotic mess')[e] and split the group into three new phyla: worms, echinoderms, and polyps (which contained corals and jellyfish). By 1809, in his Philosophie Zoologique, Lamarck had created nine phyla apart from vertebrates (where he still had four phyla: mammals, birds, reptiles, and fish) and molluscs, namely cirripedes, annelids, crustaceans, arachnids, insects, worms, radiates, polyps, and infusorians. In his 1817 Le Règne Animal, Georges Cuvier used comparative anatomy to group the animals into four embranchements ('branches' with different body plans, roughly corresponding to phyla), namely vertebrates, molluscs, articulated animals (arthropods and annelids), and zoophytes (radiata) (echinoderms, cnidaria and other forms). This division into four was followed by the embryologist Karl Ernst von Baer in 1828, the zoologist Louis Agassiz in 1857, and the comparative anatomist Richard Owen in 1860. In 1874, Ernst Haeckel divided the animal kingdom into two subkingdoms: Metazoa (multicellular animals, with five phyla: coelenterates, echinoderms, articulates, molluscs, and vertebrates) and Protozoa (single-celled animals), including a sixth animal phylum, sponges. The protozoa were later moved to the former kingdom Protista, leaving only the Metazoa as a synonym of Animalia. In human culture The human population exploits a large number of other animal species for food, both of domesticated livestock species in animal husbandry and, mainly at sea, by hunting wild species. Marine fish of many species are caught commercially for food. A smaller number of species are farmed commercially. Humans and their livestock make up more than 90% of the biomass of all terrestrial vertebrates, and almost as much as all insects combined. Invertebrates including cephalopods, crustaceans, insects—principally bees and silkworms—and bivalve or gastropod molluscs are hunted or farmed for food, fibres. Chickens, cattle, sheep, pigs, and other animals are raised as livestock for meat across the world. Animal fibres such as wool and silk are used to make textiles, while animal sinews have been used as lashings and bindings, and leather is widely used to make shoes and other items. Animals have been hunted and farmed for their fur to make items such as coats and hats. Dyestuffs including carmine (cochineal), shellac, and kermes have been made from the bodies of insects. Working animals including cattle and horses have been used for work and transport from the first days of agriculture. Animals such as the fruit fly Drosophila melanogaster serve a major role in science as experimental models. Animals have been used to create vaccines since their discovery in the 18th century. Some medicines such as the cancer drug trabectedin are based on toxins or other molecules of animal origin. People have used hunting dogs to help chase down and retrieve animals, and birds of prey to catch birds and mammals, while tethered cormorants have been used to catch fish. Poison dart frogs have been used to poison the tips of blowpipe darts. A wide variety of animals are kept as pets, from invertebrates such as tarantulas, octopuses, and praying mantises, reptiles such as snakes and chameleons, and birds including canaries, parakeets, and parrots all finding a place. However, the most kept pet species are mammals, namely dogs, cats, and rabbits. There is a tension between the role of animals as companions to humans, and their existence as individuals with rights of their own. A wide variety of terrestrial and aquatic animals are hunted for sport. The signs of the Western and Chinese zodiacs are based on animals. In China and Japan, the butterfly has been seen as the personification of a person's soul, and in classical representation the butterfly is also the symbol of the soul. Animals have been the subjects of art from the earliest times, both historical, as in ancient Egypt, and prehistoric, as in the cave paintings at Lascaux. Major animal paintings include Albrecht Dürer's 1515 The Rhinoceros, and George Stubbs's c. 1762 horse portrait Whistlejacket. Insects, birds and mammals play roles in literature and film, such as in giant bug movies. Animals including insects and mammals feature in mythology and religion. The scarab beetle was sacred in ancient Egypt, and the cow is sacred in Hinduism. Among other mammals, deer, horses, lions, bats, bears, and wolves are the subjects of myths and worship. See also Notes References External links |
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Contents Meta Platforms Meta Platforms, Inc. (doing business as Meta) is an American multinational technology company headquartered in Menlo Park, California. Meta owns and operates several prominent social media platforms and communication services, including Facebook, Instagram, WhatsApp, Messenger, Threads and Manus. The company also operates an advertising network for its own sites and third parties; as of 2023[update], advertising accounted for 97.8 percent of its total revenue. Meta has been described as a part of Big Tech, which refers to the largest six tech companies in the United States, Alphabet (Google), Amazon, Apple, Meta (Facebook), Microsoft, and Nvidia, which are also the largest companies in the world by market capitalization. The company was originally established in 2004 as TheFacebook, Inc., and was renamed Facebook, Inc. in 2005. In 2021, it rebranded as Meta Platforms, Inc. to reflect a strategic shift toward developing the metaverse—an interconnected digital ecosystem spanning virtual and augmented reality technologies. In 2023, Meta was ranked 31st on the Forbes Global 2000 list of the world's largest public companies. As of 2022, it was the world's third-largest spender on research and development, with R&D expenses totaling US$35.3 billion. History Facebook filed for an initial public offering (IPO) on January 1, 2012. The preliminary prospectus stated that the company sought to raise $5 billion, had 845 million monthly active users, and a website accruing 2.7 billion likes and comments daily. After the IPO, Zuckerberg would retain 22% of the total shares and 57% of the total voting power in Facebook. Underwriters valued the shares at $38 each, valuing the company at $104 billion, the largest valuation yet for a newly public company. On May 16, one day before the IPO, Facebook announced it would sell 25% more shares than originally planned due to high demand. The IPO raised $16 billion, making it the third-largest in US history (slightly ahead of AT&T Mobility and behind only General Motors and Visa). The stock price left the company with a higher market capitalization than all but a few U.S. corporations—surpassing heavyweights such as Amazon, McDonald's, Disney, and Kraft Foods—and made Zuckerberg's stock worth $19 billion. The New York Times stated that the offering overcame questions about Facebook's difficulties in attracting advertisers to transform the company into a "must-own stock". Jimmy Lee of JPMorgan Chase described it as "the next great blue-chip". Writers at TechCrunch, on the other hand, expressed skepticism, stating, "That's a big multiple to live up to, and Facebook will likely need to add bold new revenue streams to justify the mammoth valuation." Trading in the stock, which began on May 18, was delayed that day due to technical problems with the Nasdaq exchange. The stock struggled to stay above the IPO price for most of the day, forcing underwriters to buy back shares to support the price. At the closing bell, shares were valued at $38.23, only $0.23 above the IPO price and down $3.82 from the opening bell value. The opening was widely described by the financial press as a disappointment. The stock set a new record for trading volume of an IPO. On May 25, 2012, the stock ended its first full week of trading at $31.91, a 16.5% decline. On May 22, 2012, regulators from Wall Street's Financial Industry Regulatory Authority announced that they had begun to investigate whether banks underwriting Facebook had improperly shared information only with select clients rather than the general public. Massachusetts Secretary of State William F. Galvin subpoenaed Morgan Stanley over the same issue. The allegations sparked "fury" among some investors and led to the immediate filing of several lawsuits, one of them a class action suit claiming more than $2.5 billion in losses due to the IPO. Bloomberg estimated that retail investors may have lost approximately $630 million on Facebook stock since its debut. S&P Global Ratings added Facebook to its S&P 500 index on December 21, 2013. On May 2, 2014, Zuckerberg announced that the company would be changing its internal motto from "Move fast and break things" to "Move fast with stable infrastructure". The earlier motto had been described as Zuckerberg's "prime directive to his developers and team" in a 2009 interview in Business Insider, in which he also said, "Unless you are breaking stuff, you are not moving fast enough." In November 2016, Facebook announced the Microsoft Windows client of gaming service Facebook Gameroom, formerly Facebook Games Arcade, at the Unity Technologies developers conference. The client allows Facebook users to play "native" games in addition to its web games. The service was closed in June 2021. Lasso was a short-video sharing app from Facebook similar to TikTok that was launched on iOS and Android in 2018 and was aimed at teenagers. On July 2, 2020, Facebook announced that Lasso would be shutting down on July 10. In 2018, the Oculus lead Jason Rubin sent his 50-page vision document titled "The Metaverse" to Facebook's leadership. In the document, Rubin acknowledged that Facebook's virtual reality business had not caught on as expected, despite the hundreds of millions of dollars spent on content for early adopters. He also urged the company to execute fast and invest heavily in the vision, to shut out HTC, Apple, Google and other competitors in the VR space. Regarding other players' participation in the metaverse vision, he called for the company to build the "metaverse" to prevent their competitors from "being in the VR business in a meaningful way at all". In May 2019, Facebook founded Libra Networks, reportedly to develop their own stablecoin cryptocurrency. Later, it was reported that Libra was being supported by financial companies such as Visa, Mastercard, PayPal and Uber. The consortium of companies was expected to pool in $10 million each to fund the launch of the cryptocurrency coin named Libra. Depending on when it would receive approval from the Swiss Financial Market Supervisory authority to operate as a payments service, the Libra Association had planned to launch a limited format cryptocurrency in 2021. Libra was renamed Diem, before being shut down and sold in January 2022 after backlash from Swiss government regulators and the public. During the COVID-19 pandemic, the use of online services, including Facebook, grew globally. Zuckerberg predicted this would be a "permanent acceleration" that would continue after the pandemic. Facebook hired aggressively, growing from 48,268 employees in March 2020 to more than 87,000 by September 2022. Following a period of intense scrutiny and damaging whistleblower leaks, news started to emerge on October 21, 2021 about Facebook's plan to rebrand the company and change its name. In the Q3 2021 earnings call on October 25, Mark Zuckerberg discussed the ongoing criticism of the company's social services and the way it operates, and pointed to the pivoting efforts to building the metaverse – without mentioning the rebranding and the name change. The metaverse vision and the name change from Facebook, Inc. to Meta Platforms was introduced at Facebook Connect on October 28, 2021. Based on Facebook's PR campaign, the name change reflects the company's shifting long term focus of building the metaverse, a digital extension of the physical world by social media, virtual reality and augmented reality features. "Meta" had been registered as a trademark in the United States in 2018 (after an initial filing in 2015) for marketing, advertising, and computer services, by a Canadian company that provided big data analysis of scientific literature. This company was acquired in 2017 by the Chan Zuckerberg Initiative (CZI), a foundation established by Zuckerberg and his wife, Priscilla Chan, and became one of their projects. Following the rebranding announcement, CZI announced that it had already decided to deprioritize the earlier Meta project, thus it would be transferring its rights to the name to Meta Platforms, and the previous project would end in 2022. Soon after the rebranding, in early February 2022, Meta reported a greater-than-expected decline in profits in the fourth quarter of 2021. It reported no growth in monthly users, and indicated it expected revenue growth to stall. It also expected measures taken by Apple Inc. to protect user privacy to cost it some $10 billion in advertisement revenue, an amount equal to roughly 8% of its revenue for 2021. In meeting with Meta staff the day after earnings were reported, Zuckerberg blamed competition for user attention, particularly from video-based apps such as TikTok. The 27% reduction in the company's share price which occurred in reaction to the news eliminated some $230 billion of value from Meta's market capitalization. Bloomberg described the decline as "an epic rout that, in its sheer scale, is unlike anything Wall Street or Silicon Valley has ever seen". Zuckerberg's net worth fell by as much as $31 billion. Zuckerberg owns 13% of Meta, and the holding makes up the bulk of his wealth. According to published reports by Bloomberg on March 30, 2022, Meta turned over data such as phone numbers, physical addresses, and IP addresses to hackers posing as law enforcement officials using forged documents. The law enforcement requests sometimes included forged signatures of real or fictional officials. When asked about the allegations, a Meta representative said, "We review every data request for legal sufficiency and use advanced systems and processes to validate law enforcement requests and detect abuse." In June 2022, Sheryl Sandberg, the chief operating officer of 14 years, announced she would step down that year. Zuckerberg said that Javier Olivan would replace Sandberg, though in a “more traditional” role. In March 2022, Meta (except Meta-owned WhatsApp) and Instagram were banned in Russia and added to the Russian list of terrorist and extremist organizations for alleged Russophobia and hate speech (up to genocidal calls) amid the ongoing Russian invasion of Ukraine. Meta appealed against the ban, but it was upheld by a Moscow court in June of the same year. Also in March 2022, Meta and Italian eyewear giant Luxottica released Ray-Ban Stories, a series of smartglasses which could play music and take pictures. Meta and Luxottica parent company EssilorLuxottica declined to disclose sales on the line of products as of September 2022, though Meta has expressed satisfaction with its customer feedback. In July 2022, Meta saw its first year-on-year revenue decline when its total revenue slipped by 1% to $28.8bn. Analysts and journalists accredited the loss to its advertising business, which has been limited by Apple's app tracking transparency feature and the number of people who have opted not to be tracked by Meta apps. Zuckerberg also accredited the decline to increasing competition from TikTok. On October 27, 2022, Meta's market value dropped to $268 billion, a loss of around $700 billion compared to 2021, and its shares fell by 24%. It lost its spot among the top 20 US companies by market cap, despite reaching the top 5 in the previous year. In November 2022, Meta laid off 11,000 employees, 13% of its workforce. Zuckerberg said the decision to aggressively increase Meta's investments had been a mistake, as he had wrongly predicted that the surge in e-commerce would last beyond the COVID-19 pandemic. He also attributed the decline to increased competition, a global economic downturn and "ads signal loss". Plans to lay off a further 10,000 employees began in April 2023. The layoffs were part of a general downturn in the technology industry, alongside layoffs by companies including Google, Amazon, Tesla, Snap, Twitter and Lyft. Starting from 2022, Meta scrambled to catch up to other tech companies in adopting specialized artificial intelligence hardware and software. It had been using less expensive CPUs instead of GPUs for AI work, but that approach turned out to be less efficient. The company gifted the Inter-university Consortium for Political and Social Research $1.3 million to finance the Social Media Archive's aim to make their data available to social science research. In 2023, Ireland's Data Protection Commissioner imposed a record EUR 1.2 billion fine on Meta for transferring data from Europe to the United States without adequate protections for EU citizens.: 250 In March 2023, Meta announced a new round of layoffs that would cut 10,000 employees and close 5,000 open positions to make the company more efficient. Meta revenue surpassed analyst expectations for the first quarter of 2023 after announcing that it was increasing its focus on AI. On July 6, Meta launched a new app, Threads, a competitor to Twitter. Meta announced its artificial intelligence model Llama 2 in July 2023, available for commercial use via partnerships with major cloud providers like Microsoft. It was the first project to be unveiled out of Meta's generative AI group after it was set up in February. It would not charge access or usage but instead operate with an open-source model to allow Meta to ascertain what improvements need to be made. Prior to this announcement, Meta said it had no plans to release Llama 2 for commercial use. An earlier version of Llama was released to academics. In August 2023, Meta announced its permanent removal of news content from Facebook and Instagram in Canada due to the Online News Act, which requires Canadian news outlets to be compensated for content shared on its platform. The Online News Act was in effect by year-end, but Meta will not participate in the regulatory process. In October 2023, Zuckerberg said that AI would be Meta's biggest investment area in 2024. Meta finished 2023 as one of the best-performing technology stocks of the year, with its share price up 150 percent. Its stock reached an all-time high in January 2024, bringing Meta within 2% of achieving $1 trillion market capitalization. In November 2023 Meta Platforms launched an ad-free service in Europe, allowing subscribers to opt-out of personal data being collected for targeted advertising. A group of 28 European organizations, including Max Schrems' advocacy group NOYB, the Irish Council for Civil Liberties, Wikimedia Europe, and the Electronic Privacy Information Center, signed a 2024 letter to the European Data Protection Board (EDPB) expressing concern that this subscriber model would undermine privacy protections, specifically GDPR data protection standards. Meta removed the Facebook and Instagram accounts of Iran's Supreme Leader Ali Khamenei in February 2024, citing repeated violations of its Dangerous Organizations & Individuals policy. As of March, Meta was under investigation by the FDA for alleged use of their social media platforms to sell illegal drugs. On 16 May 2024, the European Commission began an investigation into Meta over concerns related to child safety. In May 2023, Iraqi social media influencer Esaa Ahmed-Adnan encountered a troubling issue when Instagram removed his posts, citing false copyright violations despite his content being original and free from copyrighted material. He discovered that extortionists were behind these takedowns, offering to restore his content for $3,000 or provide ongoing protection for $1,000 per month. This scam, exploiting Meta’s rights management tools, became widespread in the Middle East, revealing a gap in Meta’s enforcement in developing regions. An Iraqi nonprofit Tech4Peace’s founder, Aws al-Saadi helped Ahmed-Adnan and others, but the restoration process was slow, leading to significant financial losses for many victims, including prominent figures like Ammar al-Hakim. This situation highlighted Meta’s challenges in balancing global growth with effective content moderation and protection. On 16 September 2024, Meta announced it had banned Russian state media outlets from its platforms worldwide due to concerns about "foreign interference activity." This decision followed allegations that RT and its employees funneled $10 million through shell companies to secretly fund influence campaigns on various social media channels. Meta's actions were part of a broader effort to counter Russian covert influence operations, which had intensified since the invasion. At its 2024 Connect conference, Meta presented Orion, its first pair of augmented reality glasses. Though Orion was originally intended to be sold to consumers, the manufacturing process turned out to be too complex and expensive. Instead, the company pivoted to producing a small number of the glasses to be used internally. On 4 October 2024, Meta announced about its new AI model called Movie Gen, capable of generating realistic video and audio clips based on user prompts. Meta stated it would not release Movie Gen for open development, preferring to collaborate directly with content creators and integrate it into its products by the following year. The model was built using a combination of licensed and publicly available datasets. On October 31, 2024, ProPublica published an investigation into deceptive political advertisement scams that sometimes use hundreds of hijacked profiles and facebook pages run by organized networks of scammers. The authors cited spotty enforcement by Meta as a major reason for the extent of the issue. In November 2024, TechCrunch reported that Meta were considering building a $10bn global underwater cable spanning 25,000 miles. In the same month, Meta closed down 2 million accounts on Facebook and Instagram that were linked to scam centers in Myanmar, Laos, Cambodia, the Philippines, and the United Arab Emirates doing pig butchering scams. In December 2024, Meta announced that, beginning February 2025, they would require advertisers to run ads about financial services in Australia to verify information about who are the beneficiary and the payer in a bid to regulate scams. On December 4, 2024, Meta announced it will invest US$10 billion for its largest AI data center in northeast Louisiana, powered by natural gas facilities. On the 11th of that month, Meta experienced a global outage, impacting accounts on all of their social media and messaging applications. Outage reports from DownDetector reached 70,000+ and 100,000+ within minutes for Instagram and Facebook, respectively. In January 2025, Meta announced plans to roll back its diversity, equity, and inclusion (DEI) initiatives, citing shifts in the "legal and policy landscape" in the United States following the 2024 presidential election. The decision followed reports that CEO Mark Zuckerberg sought to align the company more closely with the incoming Trump administration, including changes to content moderation policies and executive leadership. The new content moderation policies continued to bar insults about a person's intellect or mental illness, but made an exception to allow calling LGBTQ people mentally ill because they are gay or transgender. Later that month, Meta agreed to pay $25 million to settle a 2021 lawsuit brought by Donald Trump for suspending his social media accounts after the January 6 riots. Changes to Meta's moderation policies were controversial among its oversight board, with a significant divide in opinion between the board's US conservatives and its global members. In June 2025, Meta Platforms Inc. has decided to make a multibillion-dollar investment into artificial intelligence startup Scale AI. The financing could exceed $10 billion in value which would make it one of the largest private company funding events of all time. In October 2025, it was announced that Meta would be laying off 600 employees in the artificial intelligence unit to perform better and simpler. They referred to their AI unit as "bloated" and are seeking to trim down the department. This mass layoff is going to impact Meta’s AI infrastructure units, Fundamental Artificial Intelligence Research unit (FAIR) and other product-related positions. Mergers and acquisitions Meta has acquired multiple companies (often identified as talent acquisitions). One of its first major acquisitions was in April 2012, when it acquired Instagram for approximately US$1 billion in cash and stock. In October 2013, Facebook, Inc. acquired Onavo, an Israeli mobile web analytics company. In February 2014, Facebook, Inc. announced it would buy mobile messaging company WhatsApp for US$19 billion in cash and stock. The acquisition was completed on October 6. Later that year, Facebook bought Oculus VR for $2.3 billion in cash and stock, which released its first consumer virtual reality headset in 2016. In late November 2019, Facebook, Inc. announced the acquisition of the game developer Beat Games, responsible for developing one of that year's most popular VR games, Beat Saber. In Late 2022, after Facebook Inc rebranded to Meta Platforms Inc, Oculus was rebranded to Meta Quest. In May 2020, Facebook, Inc. announced it had acquired Giphy for a reported cash price of $400 million. It will be integrated with the Instagram team. However, in August 2021, UK's Competition and Markets Authority (CMA) stated that Facebook, Inc. might have to sell Giphy, after an investigation found that the deal between the two companies would harm competition in display advertising market. Facebook, Inc. was fined $70 million by CMA for deliberately failing to report all information regarding the acquisition and the ongoing antitrust investigation. In October 2022, the CMA ruled for a second time that Meta be required to divest Giphy, stating that Meta already controls half of the advertising in the UK. Meta agreed to the sale, though it stated that it disagrees with the decision itself. In May 2023, Giphy was divested to Shutterstock for $53 million. In November 2020, Facebook, Inc. announced that it planned to purchase the customer-service platform and chatbot specialist startup Kustomer to promote companies to use their platform for business. It has been reported that Kustomer valued at slightly over $1 billion. The deal was closed in February 2022 after regulatory approval. In September 2022, Meta acquired Lofelt, a Berlin-based haptic tech startup. In December 2025, it was announced Meta had acquired the AI-wearables startup, Limitless. In the same month, they also acquired another AI startup, Manus AI, for $2 billion. Manus announced in December that its platform had achieved $100mm in recurring revenue just 8 months after its launch and Meta said it will scale the platform to many other businesses. In January 2026, it was announced Meta proposed acquisition of Manus was undergoing preliminary scrutiny by Chinese regulators. The examination concerns the cross-border transfer of artificial intelligence technology developed in China. Lobbying In 2020, Facebook, Inc. spent $19.7 million on lobbying, hiring 79 lobbyists. In 2019, it had spent $16.7 million on lobbying and had a team of 71 lobbyists, up from $12.6 million and 51 lobbyists in 2018. Facebook was the largest spender of lobbying money among the Big Tech companies in 2020. The lobbying team includes top congressional aide John Branscome, who was hired in September 2021, to help the company fend off threats from Democratic lawmakers and the Biden administration. In December 2024, Meta donated $1 million to the inauguration fund for then-President-elect Donald Trump. In 2025, Meta was listed among the donors funding the construction of the White House State Ballroom. Partnerships February 2026, Meta announced a long-term partnership with Nvidia. Censorship In August 2024, Mark Zuckerberg sent a letter to Jim Jordan indicating that during the COVID-19 pandemic the Biden administration repeatedly asked Meta to limit certain COVID-19 content, including humor and satire, on Facebook and Instagram. In 2016 Meta hired Jordana Cutler, formerly an employee at the Israeli Embassy to the United States, as its policy chief for Israel and the Jewish Diaspora. In this role, Cutler pushed for the censorship of accounts belonging to Students for Justice in Palestine chapters in the United States. Critics have said that Cutler's position gives the Israeli government an undue influence over Meta policy, and that few countries have such high levels of contact with Meta policymakers. Following the election of Donald Trump in 2025, various sources noted possible censorship related to the Democratic Party on Instagram and other Meta platforms. In February 2025, a Meta rep flagged journalist Gil Duran's article and other "critiques of tech industry figures" as spam or sensitive content, limiting their reach. In March 2025, Meta attempted to block former employee Sarah Wynn-Williams from promoting or further distributing her memoir, Careless People, that includes allegations of unaddressed sexual harassment in the workplace by senior executives. The New York Times reports that the arbitration is among Meta's most forcible attempts to repudiate a former employee's account of workplace dynamics. Publisher Macmillan reacted to the ruling by the Emergency International Arbitral Tribunal by stating that it will ignore its provisions. As of 15 March 2025[update], hardback and digital versions of Careless People were being offered for sale by major online retailers. From October 2025, Meta began removing and restricting access for accounts related to LGBTQ, reproductive health and abortion information pages on its platforms. Martha Dimitratou, executive director of Repro Uncensored, called Meta's shadow-banning of these issues "One of the biggest waves of censorship we are seeing". Disinformation concerns Since its inception, Meta has been accused of being a host for fake news and misinformation. In the wake of the 2016 United States presidential election, Zuckerberg began to take steps to eliminate the prevalence of fake news, as the platform had been criticized for its potential influence on the outcome of the election. The company initially partnered with ABC News, the Associated Press, FactCheck.org, Snopes and PolitiFact for its fact-checking initiative; as of 2018, it had over 40 fact-checking partners across the world, including The Weekly Standard. A May 2017 review by The Guardian found that the platform's fact-checking initiatives of partnering with third-party fact-checkers and publicly flagging fake news were regularly ineffective, and appeared to be having minimal impact in some cases. In 2018, journalists working as fact-checkers for the company criticized the partnership, stating that it had produced minimal results and that the company had ignored their concerns. In 2024 Meta's decision to continue to disseminate a falsified video of US president Joe Biden, even after it had been proven to be fake, attracted criticism and concern. In January 2025, Meta ended its use of third-party fact-checkers in favor of a user-run community notes system similar to the one used on X. While Zuckerberg supported these changes, saying that the amount of censorship on the platform was excessive, the decision received criticism by fact-checking institutions, stating that the changes would make it more difficult for users to identify misinformation. Meta also faced criticism for weakening its policies on hate speech that were designed to protect minorities and LGBTQ+ individuals from bullying and discrimination. While moving its content review teams from California to Texas, Meta changed their hateful conduct policy to eliminate restrictions on anti-LGBT and anti-immigrant hate speech, as well as explicitly allowing users to accuse LGBT people of being mentally ill or abnormal based on their sexual orientation or gender identity. In January 2025, Meta faced significant criticism for its role in removing LGBTQ+ content from its platforms, amid its broader efforts to address anti-LGBTQ+ hate speech. The removal of LGBTQ+ themes was noted as part of the wider crackdown on content deemed to violate its community guidelines. Meta's content moderation policies, which were designed to combat harmful speech and protect users from discrimination, inadvertently led to the removal or restriction of LGBTQ+ content, particularly posts highlighting LGBTQ+ identities, support, or political issues. According to reports, LGBTQ+ posts, including those that simply celebrated pride or advocated for LGBTQ+ rights, were flagged and removed for reasons that some critics argue were vague or inconsistently applied. Many LGBTQ+ activists and users on Meta's platforms expressed concern that such actions stifled visibility and expression, potentially isolating LGBTQ+ individuals and communities, especially in spaces that were historically important for outreach and support. Lawsuits Numerous lawsuits have been filed against the company, both when it was known as Facebook, Inc., and as Meta Platforms. In March 2020, the Office of the Australian Information Commissioner (OAIC) sued Facebook, for significant and persistent infringements of the rule on privacy involving the Cambridge Analytica fiasco. Every violation of the Privacy Act is subject to a theoretical cumulative liability of $1.7 million. The OAIC estimated that a total of 311,127 Australians had been exposed. On December 8, 2020, the U.S. Federal Trade Commission and 46 states (excluding Alabama, Georgia, South Carolina, and South Dakota), the District of Columbia and the territory of Guam, launched Federal Trade Commission v. Facebook as an antitrust lawsuit against Facebook. The lawsuit concerns Facebook's acquisition of two competitors—Instagram and WhatsApp—and the ensuing monopolistic situation. FTC alleges that Facebook holds monopolistic power in the U.S. social networking market and seeks to force the company to divest from Instagram and WhatsApp to break up the conglomerate. William Kovacic, a former chairman of the Federal Trade Commission, argued the case will be difficult to win as it would require the government to create a counterfactual argument of an internet where the Facebook-WhatsApp-Instagram entity did not exist, and prove that harmed competition or consumers. In November 2025, it was ruled that Meta did not violate antitrust laws and holds no monopoly in the market. On December 24, 2021, a court in Russia fined Meta for $27 million after the company declined to remove unspecified banned content. The fine was reportedly tied to the company's annual revenue in the country. In May 2022, a lawsuit was filed in Kenya against Meta and its local outsourcing company Sama. Allegedly, Meta has poor working conditions in Kenya for workers moderating Facebook posts. According to the lawsuit, 260 screeners were declared redundant with confusing reasoning. The lawsuit seeks financial compensation and an order that outsourced moderators be given the same health benefits and pay scale as Meta employees. In June 2022, 8 lawsuits were filed across the U.S. over the allege that excessive exposure to platforms including Facebook and Instagram has led to attempted or actual suicides, eating disorders and sleeplessness, among other issues. The litigation follows a former Facebook employee's testimony in Congress that the company refused to take responsibility. The company noted that tools have been developed for parents to keep track of their children's activity on Instagram and set time limits, in addition to Meta's "Take a break" reminders. In addition, the company is providing resources specific to eating disorders as well as developing AI to prevent children under the age of 13 signing up for Facebook or Instagram. In June 2022, Meta settled a lawsuit with the US Department of Justice. The lawsuit, which was filed in 2019, alleged that the company enabled housing discrimination through targeted advertising, as it allowed homeowners and landlords to run housing ads excluding people based on sex, race, religion, and other characteristics. The U.S. Department of Justice stated that this was in violation of the Fair Housing Act. Meta was handed a penalty of $115,054 and given until December 31, 2022, to shadow the algorithm tool. In January 2023, Meta was fined €390 million for violations of the European Union General Data Protection Regulation. In May 2023, the European Data Protection Board fined Meta a record €1.2 billion for breaching European Union data privacy laws by transferring personal data of Facebook users to servers in the U.S. In July 2024, Meta agreed to pay the state of Texas US$1.4 billion to settle a lawsuit brought by Texas Attorney General Ken Paxton accusing the company of collecting users' biometric data without consent, setting a record for the largest privacy-related settlement ever obtained by a state attorney general. In October 2024, Meta Platforms faced lawsuits in Japan from 30 plaintiffs who claimed they were defrauded by fake investment ads on Facebook and Instagram, featuring false celebrity endorsements. The plaintiffs are seeking approximately $2.8 million in damages. In April 2025, the Kenyan High Court ruled that a US$2.4 billion lawsuit in which three plaintiffs claim that Facebook inflamed civil violence in Ethiopia in 2021 could proceed. In April 2025, Meta was fined €200 million ($230 million) for breaking the Digital Markets Act, by imposing a “consent or pay” system that forces users to either allow their personal data to be used to target advertisements, or pay a subscription fee for advertising-free versions of Facebook and Instagram. In late April 2025, a case was filed against Meta in Ghana over the alleged psychological distress experienced by content moderators employed to take down disturbing social media content including depictions of murders, extreme violence and child sexual abuse. Meta moved the moderation service to the Ghanaian capital of Accra after legal issues in the previous location Kenya. The new moderation company is Teleperformance, a multinational corporation with a history of worker's rights violation. Reports suggests the conditions are worse here than in the previous Kenyan location, with many workers afraid of speaking out due to fear of returning to conflict zones. Workers reported developing mental illnesses, attempted suicides, and low pay. In 26 January 2026, a New Mexico state court case was filed, suggesting that Mark Zuckerberg approved allowing minors to access artificial intelligence chatbot companions that safety staffers warned were capable of sexual interactions. In 2020, the company UReputation, which had been involved in several cases concerning the management of digital armies[clarification needed], filed a lawsuit against Facebook, accusing it of unlawfully transmitting personal data to third parties. Legal actions were initiated in Tunisia, France, and the United States. In 2025, the United States District court for the Northern District of Georgia approved a discovery procedure, allowing UReputation to access documents and evidence held by Meta. Structure Meta's key management consists of: As of October 2022[update], Meta had 83,553 employees worldwide. As of June 2024[update], Meta's board consisted of the following directors; Meta Platforms is mainly owned by institutional investors, who hold around 80% of all shares. Insiders control the majority of voting shares. The three largest individual investors in 2024 were Mark Zuckerberg, Sheryl Sandberg and Christopher K. Cox. The largest shareholders in late 2024/early 2025 were: Roger McNamee, an early Facebook investor and Zuckerberg's former mentor, said Facebook had "the most centralized decision-making structure I have ever encountered in a large company". Facebook co-founder Chris Hughes has stated that chief executive officer Mark Zuckerberg has too much power, that the company is now a monopoly, and that, as a result, it should be split into multiple smaller companies. In an op-ed in The New York Times, Hughes said he was concerned that Zuckerberg had surrounded himself with a team that did not challenge him, and that it is the U.S. government's job to hold him accountable and curb his "unchecked power". He also said that "Mark's power is unprecedented and un-American." Several U.S. politicians agreed with Hughes. European Union Commissioner for Competition Margrethe Vestager stated that splitting Facebook should be done only as "a remedy of the very last resort", and that it would not solve Facebook's underlying problems. Revenue Facebook ranked No. 34 in the 2020 Fortune 500 list of the largest United States corporations by revenue, with almost $86 billion in revenue most of it coming from advertising. One analysis of 2017 data determined that the company earned US$20.21 per user from advertising. According to New York, since its rebranding, Meta has reportedly lost $500 billion as a result of new privacy measures put in place by companies such as Apple and Google which prevents Meta from gathering users' data. In February 2015, Facebook announced it had reached two million active advertisers, with most of the gain coming from small businesses. An active advertiser was defined as an entity that had advertised on the Facebook platform in the last 28 days. In March 2016, Facebook announced it had reached three million active advertisers with more than 70% from outside the United States. Prices for advertising follow a variable pricing model based on auctioning ad placements, and potential engagement levels of the advertisement itself. Similar to other online advertising platforms like Google and Twitter, targeting of advertisements is one of the chief merits of digital advertising compared to traditional media. Marketing on Meta is employed through two methods based on the viewing habits, likes and shares, and purchasing data of the audience, namely targeted audiences and "look alike" audiences. The U.S. IRS challenged the valuation Facebook used when it transferred IP from the U.S. to Facebook Ireland (now Meta Platforms Ireland) in 2010 (which Facebook Ireland then revalued higher before charging out), as it was building its double Irish tax structure. The case is ongoing and Meta faces a potential fine of $3–5bn. The U.S. Tax Cuts and Jobs Act of 2017 changed Facebook's global tax calculations. Meta Platforms Ireland is subject to the U.S. GILTI tax of 10.5% on global intangible profits (i.e. Irish profits). On the basis that Meta Platforms Ireland Limited is paying some tax, the effective minimum US tax for Facebook Ireland will be circa 11%. In contrast, Meta Platforms Inc. would incur a special IP tax rate of 13.125% (the FDII rate) if its Irish business relocated to the U.S. Tax relief in the U.S. (21% vs. Irish at the GILTI rate) and accelerated capital expensing, would make this effective U.S. rate around 12%. The insignificance of the U.S./Irish tax difference was demonstrated when Facebook moved 1.5bn non-EU accounts to the U.S. to limit exposure to GDPR. Facilities Users outside of the U.S. and Canada contract with Meta's Irish subsidiary, Meta Platforms Ireland Limited (formerly Facebook Ireland Limited), allowing Meta to avoid US taxes for all users in Europe, Asia, Australia, Africa and South America. Meta is making use of the Double Irish arrangement which allows it to pay 2–3% corporation tax on all international revenue. In 2010, Facebook opened its fourth office, in Hyderabad, India, which houses online advertising and developer support teams and provides support to users and advertisers. In India, Meta is registered as Facebook India Online Services Pvt Ltd. It also has offices or planned sites in Chittagong, Bangladesh; Dublin, Ireland; and Austin, Texas, among other cities. Facebook opened its London headquarters in 2017 in Fitzrovia in central London. Facebook opened an office in Cambridge, Massachusetts in 2018. The offices were initially home to the "Connectivity Lab", a group focused on bringing Internet access to those who do not have access to the Internet. In April 2019, Facebook opened its Taiwan headquarters in Taipei. In March 2022, Meta opened new regional headquarters in Dubai. In September 2023, it was reported that Meta had paid £149m to British Land to break the lease on Triton Square London office. Meta reportedly had another 18 years left on its lease on the site. As of 2023, Facebook operated 21 data centers. It committed to purchase 100% renewable energy and to reduce its greenhouse gas emissions 75% by 2020. Its data center technologies include Fabric Aggregator, a distributed network system that accommodates larger regions and varied traffic patterns. Reception US Representative Alexandria Ocasio-Cortez responded in a tweet to Zuckerberg's announcement about Meta, saying: "Meta as in 'we are a cancer to democracy metastasizing into a global surveillance and propaganda machine for boosting authoritarian regimes and destroying civil society ... for profit!'" Ex-Facebook employee Frances Haugen and whistleblower behind the Facebook Papers responded to the rebranding efforts by expressing doubts about the company's ability to improve while led by Mark Zuckerberg, and urged the chief executive officer to resign. In November 2021, a video published by Inspired by Iceland went viral, in which a Zuckerberg look-alike promoted the Icelandverse, a place of "enhanced actual reality without silly looking headsets". In a December 2021 interview, SpaceX and Tesla chief executive officer Elon Musk said he could not see a compelling use-case for the VR-driven metaverse, adding: "I don't see someone strapping a frigging screen to their face all day." In January 2022, Louise Eccles of The Sunday Times logged into the metaverse with the intention of making a video guide. She wrote: Initially, my experience with the Oculus went well. I attended work meetings as an avatar and tried an exercise class set in the streets of Paris. The headset enabled me to feel the thrill of carving down mountains on a snowboard and the adrenaline rush of climbing a mountain without ropes. Yet switching to the social apps, where you mingle with strangers also using VR headsets, it was at times predatory and vile. Eccles described being sexually harassed by another user, as well as "accents from all over the world, American, Indian, English, Australian, using racist, sexist, homophobic and transphobic language". She also encountered users as young as 7 years old on the platform, despite Oculus headsets being intended for users over 13. See also References External links 37°29′06″N 122°08′54″W / 37.48500°N 122.14833°W / 37.48500; -122.14833 |
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Contents OpenAI OpenAI is an American artificial intelligence research organization comprising both a non-profit foundation and a controlled for-profit public benefit corporation (PBC), headquartered in San Francisco. It aims to develop "safe and beneficial" artificial general intelligence (AGI), which it defines as "highly autonomous systems that outperform humans at most economically valuable work". OpenAI is widely recognized for its development of the GPT family of large language models, the DALL-E series of text-to-image models, and the Sora series of text-to-video models, which have influenced industry research and commercial applications. Its release of ChatGPT in November 2022 has been credited with catalyzing widespread interest in generative AI. The organization was founded in 2015 in Delaware but evolved a complex corporate structure. As of October 2025, following restructuring approved by California and Delaware regulators, the non-profit OpenAI Foundation holds 26% of the for-profit OpenAI Group PBC, with Microsoft holding 27% and employees/other investors holding 47%. Under its governance arrangements, the OpenAI Foundation holds the authority to appoint the board of the for-profit OpenAI Group PBC, a mechanism designed to align the entity’s strategic direction with the Foundation’s charter. Microsoft previously invested over $13 billion into OpenAI, and provides Azure cloud computing resources. In October 2025, OpenAI conducted a $6.6 billion share sale that valued the company at $500 billion. In 2023 and 2024, OpenAI faced multiple lawsuits for alleged copyright infringement against authors and media companies whose work was used to train some of OpenAI's products. In November 2023, OpenAI's board removed Sam Altman as CEO, citing a lack of confidence in him, but reinstated him five days later following a reconstruction of the board. Throughout 2024, roughly half of then-employed AI safety researchers left OpenAI, citing the company's prominent role in an industry-wide problem. Founding In December 2015, OpenAI was founded as a not for profit organization by Sam Altman, Elon Musk, Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, John Schulman, Pamela Vagata, and Wojciech Zaremba, with Sam Altman and Elon Musk as the co-chairs. A total of $1 billion in capital was pledged by Sam Altman, Greg Brockman, Elon Musk, Reid Hoffman, Jessica Livingston, Peter Thiel, Amazon Web Services (AWS), and Infosys. However, the actual capital collected significantly lagged pledges. According to company disclosures, only $130 million had been received by 2019. In its founding charter, OpenAI stated an intention to collaborate openly with other institutions by making certain patents and research publicly available, but later restricted access to its most capable models, citing competitive and safety concerns. OpenAI was initially run from Brockman's living room. It was later headquartered at the Pioneer Building in the Mission District, San Francisco. According to OpenAI's charter, its founding mission is "to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity." Musk and Altman stated in 2015 that they were partly motivated by concerns about AI safety and existential risk from artificial general intelligence. OpenAI stated that "it's hard to fathom how much human-level AI could benefit society", and that it is equally difficult to comprehend "how much it could damage society if built or used incorrectly". The startup also wrote that AI "should be an extension of individual human wills and, in the spirit of liberty, as broadly and evenly distributed as possible", and that "because of AI's surprising history, it's hard to predict when human-level AI might come within reach. When it does, it'll be important to have a leading research institution which can prioritize a good outcome for all over its own self-interest." Co-chair Sam Altman expected a decades-long project that eventually surpasses human intelligence. Brockman met with Yoshua Bengio, one of the "founding fathers" of deep learning, and drew up a list of great AI researchers. Brockman was able to hire nine of them as the first employees in December 2015. OpenAI did not pay AI researchers salaries comparable to those of Facebook or Google. It also did not pay stock options which AI researchers typically get. Nevertheless, OpenAI spent $7 million on its first 52 employees in 2016. OpenAI's potential and mission drew these researchers to the firm; a Google employee said he was willing to leave Google for OpenAI "partly because of the very strong group of people and, to a very large extent, because of its mission." OpenAI co-founder Wojciech Zaremba stated that he turned down "borderline crazy" offers of two to three times his market value to join OpenAI instead. In April 2016, OpenAI released a public beta of "OpenAI Gym", its platform for reinforcement learning research. Nvidia gifted its first DGX-1 supercomputer to OpenAI in August 2016 to help it train larger and more complex AI models with the capability of reducing processing time from six days to two hours. In December 2016, OpenAI released "Universe", a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites, and other applications. Corporate structure In 2019, OpenAI transitioned from non-profit to "capped" for-profit, with the profit being capped at 100 times any investment. According to OpenAI, the capped-profit model allows OpenAI Global, LLC to legally attract investment from venture funds and, in addition, to grant employees stakes in the company. Many top researchers work for Google Brain, DeepMind, or Facebook, which offer equity that a nonprofit would be unable to match. Before the transition, OpenAI was legally required to publicly disclose the compensation of its top employees. The company then distributed equity to its employees and partnered with Microsoft, announcing an investment package of $1 billion into the company. Since then, OpenAI systems have run on an Azure-based supercomputing platform from Microsoft. OpenAI Global, LLC then announced its intention to commercially license its technologies. It planned to spend $1 billion "within five years, and possibly much faster". Altman stated that even a billion dollars may turn out to be insufficient, and that the lab may ultimately need "more capital than any non-profit has ever raised" to achieve artificial general intelligence. The nonprofit, OpenAI, Inc., is the sole controlling shareholder of OpenAI Global, LLC, which, despite being a for-profit company, retains a formal fiduciary responsibility to OpenAI, Inc.'s nonprofit charter. A majority of OpenAI, Inc.'s board is barred from having financial stakes in OpenAI Global, LLC. In addition, minority members with a stake in OpenAI Global, LLC are barred from certain votes due to conflict of interest. Some researchers have argued that OpenAI Global, LLC's switch to for-profit status is inconsistent with OpenAI's claims to be "democratizing" AI. On February 29, 2024, Elon Musk filed a lawsuit against OpenAI and CEO Sam Altman, accusing them of shifting focus from public benefit to profit maximization—a case OpenAI dismissed as "incoherent" and "frivolous," though Musk later revived legal action against Altman and others in August. On April 9, 2024, OpenAI countersued Musk in federal court, alleging that he had engaged in "bad-faith tactics" to slow the company's progress and seize its innovations for his personal benefit. OpenAI also argued that Musk had previously supported the creation of a for-profit structure and had expressed interest in controlling OpenAI himself. The countersuit seeks damages and legal measures to prevent further alleged interference. On February 10, 2025, a consortium of investors led by Elon Musk submitted a $97.4 billion unsolicited bid to buy the nonprofit that controls OpenAI, declaring willingness to match or exceed any better offer. The offer was rejected on 14 February 2025, with OpenAI stating that it was not for sale, but the offer complicated Altman's restructuring plan by suggesting a lower bar for how much the nonprofit should be valued. OpenAI, Inc. was originally designed as a nonprofit in order to ensure that AGI "benefits all of humanity" rather than "the private gain of any person". In 2019, it created OpenAI Global, LLC, a capped-profit subsidiary controlled by the nonprofit. In December 2024, OpenAI proposed a restructuring plan to convert the capped-profit into a Delaware-based public benefit corporation (PBC), and to release it from the control of the nonprofit. The nonprofit would sell its control and other assets, getting equity in return, and would use it to fund and pursue separate charitable projects, including in science and education. OpenAI's leadership described the change as necessary to secure additional investments, and claimed that the nonprofit's founding mission to ensure AGI "benefits all of humanity" would be better fulfilled. The plan has been criticized by former employees. A legal letter named "Not For Private Gain" asked the attorneys general of California and Delaware to intervene, stating that the restructuring is illegal and would remove governance safeguards from the nonprofit and the attorneys general. The letter argues that OpenAI's complex structure was deliberately designed to remain accountable to its mission, without the conflicting pressure of maximizing profits. It contends that the nonprofit is best positioned to advance its mission of ensuring AGI benefits all of humanity by continuing to control OpenAI Global, LLC, whatever the amount of equity that it could get in exchange. PBCs can choose how they balance their mission with profit-making. Controlling shareholders have a large influence on how closely a PBC sticks to its mission. On October 28, 2025, OpenAI announced that it had adopted the new PBC corporate structure after receiving approval from the attorneys general of California and Delaware. Under the new structure, OpenAI's for-profit branch became a public benefit corporation known as OpenAI Group PBC, while the non-profit was renamed to the OpenAI Foundation. The OpenAI Foundation holds a 26% stake in the PBC, while Microsoft holds a 27% stake and the remaining 47% is owned by employees and other investors. All members of the OpenAI Group PBC board of directors will be appointed by the OpenAI Foundation, which can remove them at any time. Members of the Foundation's board will also serve on the for-profit board. The new structure allows the for-profit PBC to raise investor funds like most traditional tech companies, including through an initial public offering, which Altman claimed was the most likely path forward. In January 2023, OpenAI Global, LLC was in talks for funding that would value the company at $29 billion, double its 2021 value. On January 23, 2023, Microsoft announced a new US$10 billion investment in OpenAI Global, LLC over multiple years, partially needed to use Microsoft's cloud-computing service Azure. From September to December, 2023, Microsoft rebranded all variants of its Copilot to Microsoft Copilot, and they added MS-Copilot to many installations of Windows and released Microsoft Copilot mobile apps. Following OpenAI's 2025 restructuring, Microsoft owns a 27% stake in the for-profit OpenAI Group PBC, valued at $135 billion. In a deal announced the same day, OpenAI agreed to purchase $250 billion of Azure services, with Microsoft ceding their right of first refusal over OpenAI's future cloud computing purchases. As part of the deal, OpenAI will continue to share 20% of its revenue with Microsoft until it achieves AGI, which must now be verified by an independent panel of experts. The deal also loosened restrictions on both companies working with third parties, allowing Microsoft to pursue AGI independently and allowing OpenAI to develop products with other companies. In 2017, OpenAI spent $7.9 million, a quarter of its functional expenses, on cloud computing alone. In comparison, DeepMind's total expenses in 2017 were $442 million. In the summer of 2018, training OpenAI's Dota 2 bots required renting 128,000 CPUs and 256 GPUs from Google for multiple weeks. In October 2024, OpenAI completed a $6.6 billion capital raise with a $157 billion valuation including investments from Microsoft, Nvidia, and SoftBank. On January 21, 2025, Donald Trump announced The Stargate Project, a joint venture between OpenAI, Oracle, SoftBank and MGX to build an AI infrastructure system in conjunction with the US government. The project takes its name from OpenAI's existing "Stargate" supercomputer project and is estimated to cost $500 billion. The partners planned to fund the project over the next four years. In July, the United States Department of Defense announced that OpenAI had received a $200 million contract for AI in the military, along with Anthropic, Google, and xAI. In the same month, the company made a deal with the UK Government to use ChatGPT and other AI tools in public services. OpenAI subsequently began a $50 million fund to support nonprofit and community organizations. In April 2025, OpenAI raised $40 billion at a $300 billion post-money valuation, which was the highest-value private technology deal in history. The financing round was led by SoftBank, with other participants including Microsoft, Coatue, Altimeter and Thrive. In July 2025, the company reported annualized revenue of $12 billion. This was an increase from $3.7 billion in 2024, which was driven by ChatGPT subscriptions, which reached 20 million paid subscribers by April 2025, up from 15.5 million at the end of 2024, alongside a rapidly expanding enterprise customer base that grew to five million business users. The company’s cash burn remains high because of the intensive computational costs required to train and operate large language models. It projects an $8 billion operating loss in 2025. OpenAI reports revised long-term spending projections totaling approximately $115 billion through 2029, with annual expenditures projected to escalate significantly, reaching $17 billion in 2026, $35 billion in 2027, and $45 billion in 2028. These expenditures are primarily allocated toward expanding compute infrastructure, developing proprietary AI chips, constructing data centers, and funding intensive model training programs, with more than half of the spending through the end of the decade expected to support research-intensive compute for model training and development. The company's financial strategy prioritizes market expansion and technological advancement over near-term profitability, with OpenAI targeting cash-flow-positive operations by 2029 and projecting revenue of approximately $200 billion by 2030. This aggressive spending trajectory underscores both the enormous capital requirements of scaling cutting-edge AI technology and OpenAI's commitment to maintaining its position as a leader in the artificial intelligence industry. In October 2025, OpenAI completed an employee share sale of up to $10 billion to existing investors which valued the company at $500 billion. The deal values OpenAI as the most valuable privately owned company in the world—surpassing SpaceX as the world's most valuable private company. On November 17, 2023, Sam Altman was removed as CEO when its board of directors (composed of Helen Toner, Ilya Sutskever, Adam D'Angelo and Tasha McCauley) cited a lack of confidence in him. Chief Technology Officer Mira Murati took over as interim CEO. Greg Brockman, the president of OpenAI, was also removed as chairman of the board and resigned from the company's presidency shortly thereafter. Three senior OpenAI researchers subsequently resigned: director of research and GPT-4 lead Jakub Pachocki, head of AI risk Aleksander Mądry, and researcher Szymon Sidor. On November 18, 2023, there were reportedly talks of Altman returning as CEO amid pressure placed upon the board by investors such as Microsoft and Thrive Capital, who objected to Altman's departure. Although Altman himself spoke in favor of returning to OpenAI, he has since stated that he considered starting a new company and bringing former OpenAI employees with him if talks to reinstate him didn't work out. The board members agreed "in principle" to resign if Altman returned. On November 19, 2023, negotiations with Altman to return failed and Murati was replaced by Emmett Shear as interim CEO. The board initially contacted Anthropic CEO Dario Amodei (a former OpenAI executive) about replacing Altman, and proposed a merger of the two companies, but both offers were declined. On November 20, 2023, Microsoft CEO Satya Nadella announced Altman and Brockman would be joining Microsoft to lead a new advanced AI research team, but added that they were still committed to OpenAI despite recent events. Before the partnership with Microsoft was finalized, Altman gave the board another opportunity to negotiate with him. About 738 of OpenAI's 770 employees, including Murati and Sutskever, signed an open letter stating they would quit their jobs and join Microsoft if the board did not rehire Altman and then resign. This prompted OpenAI investors to consider legal action against the board as well. In response, OpenAI management sent an internal memo to employees stating that negotiations with Altman and the board had resumed and would take some time. On November 21, 2023, after continued negotiations, Altman and Brockman returned to the company in their prior roles along with a reconstructed board made up of new members Bret Taylor (as chairman) and Lawrence Summers, with D'Angelo remaining. According to subsequent reporting, shortly before Altman’s firing, some employees raised concerns to the board about how he had handled the safety implications of a recent internal AI capability discovery. On November 29, 2023, OpenAI announced that an anonymous Microsoft employee had joined the board as a non-voting member to observe the company's operations; Microsoft resigned from the board in July 2024. In February 2024, the Securities and Exchange Commission subpoenaed OpenAI's internal communication to determine if Altman's alleged lack of candor misled investors. In 2024, following the temporary removal of Sam Altman and his return, many employees gradually left OpenAI, including most of the original leadership team and a significant number of AI safety researchers. In August 2023, it was announced that OpenAI had acquired the New York-based start-up Global Illumination, a company that deploys AI to develop digital infrastructure and creative tools. In June 2024, OpenAI acquired Multi, a startup focused on remote collaboration. In March 2025, OpenAI reached a deal with CoreWeave to acquire $350 million worth of CoreWeave shares and access to AI infrastructure, in return for $11.9 billion paid over five years. Microsoft was already CoreWeave's biggest customer in 2024. Alongside their other business dealings, OpenAI and Microsoft were renegotiating the terms of their partnership to facilitate a potential future initial public offering by OpenAI, while ensuring Microsoft's continued access to advanced AI models. On May 21, OpenAI announced the $6.5 billion acquisition of io, an AI hardware start-up founded by former Apple designer Jony Ive in 2024. In September 2025, OpenAI agreed to acquire the product testing startup Statsig for $1.1 billion in an all-stock deal and appointed Statsig's founding CEO Vijaye Raji as OpenAI's chief technology officer of applications. The company also announced development of an AI-driven hiring service designed to rival LinkedIn. OpenAI acquired personal finance app Roi in October 2025. In October 2025, OpenAI acquired Software Applications Incorporated, the developer of Sky, a macOS-based natural language interface designed to operate across desktop applications. The Sky team joined OpenAI, and the company announced plans to integrate Sky’s capabilities into ChatGPT. In December 2025, it was announced OpenAI had agreed to acquire Neptune, an AI tooling startup that helps companies track and manage model training, for an undisclosed amount. In January 2026, it was announced OpenAI had acquired healthcare technology startup Torch for approximately $60 million. The acquisition followed the launch of OpenAI’s ChatGPT Health product and was intended to strengthen the company’s medical data and healthcare artificial intelligence capabilities. OpenAI has been criticized for outsourcing the annotation of data sets to Sama, a company based in San Francisco that employed workers in Kenya. These annotations were used to train an AI model to detect toxicity, which could then be used to moderate toxic content, notably from ChatGPT's training data and outputs. However, these pieces of text usually contained detailed descriptions of various types of violence, including sexual violence. The investigation uncovered that OpenAI began sending snippets of data to Sama as early as November 2021. The four Sama employees interviewed by Time described themselves as mentally scarred. OpenAI paid Sama $12.50 per hour of work, and Sama was redistributing the equivalent of between $1.32 and $2.00 per hour post-tax to its annotators. Sama's spokesperson said that the $12.50 was also covering other implicit costs, among which were infrastructure expenses, quality assurance and management. In 2024, OpenAI began collaborating with Broadcom to design a custom AI chip capable of both training and inference, targeted for mass production in 2026 and to be manufactured by TSMC on a 3 nm process node. This initiative intended to reduce OpenAI's dependence on Nvidia GPUs, which are costly and face high demand in the market. In January 2024, Arizona State University purchased ChatGPT Enterprise in OpenAI's first deal with a university. In June 2024, Apple Inc. signed a contract with OpenAI to integrate ChatGPT features into its products as part of its new Apple Intelligence initiative. In June 2025, OpenAI began renting Google Cloud's Tensor Processing Units (TPUs) to support ChatGPT and related services, marking its first meaningful use of non‑Nvidia AI chips. In September 2025, it was revealed that OpenAI signed a contract with Oracle to purchase $300 billion in computing power over the next five years. In September 2025, OpenAI and NVIDIA announced a memorandum of understanding that included a potential deployment of at least 10 gigawatts of NVIDIA systems and a $100 billion investment from NVIDIA in OpenAI. OpenAI expected the negotiations to be completed within weeks. As of January 2026, this has not been realized, and the two sides are rethinking the future of their partnership. In October 2025, OpenAI announced a multi-billion dollar deal with AMD. OpenAI committed to purchasing six gigawatts worth of AMD chips, starting with the MI450. OpenAI will have the option to buy up to 160 million shares of AMD, about 10% of the company, depending on development, performance and share price targets. In December 2025, Disney said it would make a $1 billion investment in OpenAI, and signed a three-year licensing deal that will let users generate videos using Sora—OpenAI's short-form AI video platform. More than 200 Disney, Marvel, Star Wars and Pixar characters will be available to OpenAI users. In early 2026, Amazon entered advanced discussions to invest up to $50 billion in OpenAI as part of a potential artificial intelligence partnership. Under the proposed agreement, OpenAI’s models could be integrated into Amazon’s digital assistant Alexa and other internal projects. OpenAI provides LLMs to the Artificial Intelligence Cyber Challenge and to the Advanced Research Projects Agency for Health. In October 2024, The Intercept revealed that OpenAI's tools are considered "essential" for AFRICOM's mission and included in an "Exception to Fair Opportunity" contractual agreement between the United States Department of Defense and Microsoft. In December 2024, OpenAI said it would partner with defense-tech company Anduril to build drone defense technologies for the United States and its allies. In 2025, OpenAI's Chief Product Officer, Kevin Weil, was commissioned lieutenant colonel in the U.S. Army to join Detachment 201 as senior advisor. In June 2025, the U.S. Department of Defense awarded OpenAI a $200 million one-year contract to develop AI tools for military and national security applications. OpenAI announced a new program, OpenAI for Government, to give federal, state, and local governments access to its models, including ChatGPT. Services In February 2019, GPT-2 was announced, which gained attention for its ability to generate human-like text. In 2020, OpenAI announced GPT-3, a language model trained on large internet datasets. GPT-3 is aimed at natural language answering questions, but it can also translate between languages and coherently generate improvised text. It also announced that an associated API, named the API, would form the heart of its first commercial product. Eleven employees left OpenAI, mostly between December 2020 and January 2021, in order to establish Anthropic. In 2021, OpenAI introduced DALL-E, a specialized deep learning model adept at generating complex digital images from textual descriptions, utilizing a variant of the GPT-3 architecture. In December 2022, OpenAI received widespread media coverage after launching a free preview of ChatGPT, its new AI chatbot based on GPT-3.5. According to OpenAI, the preview received over a million signups within the first five days. According to anonymous sources cited by Reuters in December 2022, OpenAI Global, LLC was projecting $200 million of revenue in 2023 and $1 billion in revenue in 2024. After ChatGPT was launched, Google announced a similar chatbot, Bard, amid internal concerns that ChatGPT could threaten Google’s position as a primary source of online information. On February 7, 2023, Microsoft announced that it was building AI technology based on the same foundation as ChatGPT into Microsoft Bing, Edge, Microsoft 365 and other products. On March 14, 2023, OpenAI released GPT-4, both as an API (with a waitlist) and as a feature of ChatGPT Plus. On November 6, 2023, OpenAI launched GPTs, allowing individuals to create customized versions of ChatGPT for specific purposes, further expanding the possibilities of AI applications across various industries. On November 14, 2023, OpenAI announced they temporarily suspended new sign-ups for ChatGPT Plus due to high demand. Access for newer subscribers re-opened a month later on December 13. In December 2024, the company launched the Sora model. It also launched OpenAI o1, an early reasoning model that was internally codenamed strawberry. Additionally, ChatGPT Pro—a $200/month subscription service offering unlimited o1 access and enhanced voice features—was introduced, and preliminary benchmark results for the upcoming OpenAI o3 models were shared. On January 23, 2025, OpenAI released Operator, an AI agent and web automation tool for accessing websites to execute goals defined by users. The feature was only available to Pro users in the United States. OpenAI released deep research agent, nine days later. It scored a 27% accuracy on the benchmark Humanity's Last Exam (HLE). Altman later stated GPT-4.5 would be the last model without full chain-of-thought reasoning. In July 2025, reports indicated that AI models by both OpenAI and Google DeepMind solved mathematics problems at the level of top-performing students in the International Mathematical Olympiad. OpenAI's large language model was able to achieve gold medal-level performance, reflecting significant progress in AI's reasoning abilities. On October 6, 2025, OpenAI unveiled its Agent Builder platform during the company's DevDay event. The platform includes a visual drag-and-drop interface that lets developers and businesses design, test, and deploy agentic workflows with limited coding. On October 21, 2025, OpenAI introduced ChatGPT Atlas, a browser integrating the ChatGPT assistant directly into web navigation, to compete with existing browsers such as Google Chrome and Apple Safari. On December 11, 2025, OpenAI announced GPT-5.2. This model will be better at creating spreadsheets, building presentations, perceiving images, writing code and understanding long context. On January 27, 2026, OpenAI introduced Prism, a LaTeX-native workspace meant to assist scientists to help with research and writing. The platform utilizes GPT-5.2 as a backend to automate the process of drafting for scientific papers, including features for managing citations, complex equation formatting, and real-time collaborative editing. In March 2023, the company was criticized for disclosing particularly few technical details about products like GPT-4, contradicting its initial commitment to openness and making it harder for independent researchers to replicate its work and develop safeguards. OpenAI cited competitiveness and safety concerns to justify this repudiation. OpenAI's former chief scientist Ilya Sutskever argued in 2023 that open-sourcing increasingly capable models was increasingly risky, and that the safety reasons for not open-sourcing the most potent AI models would become "obvious" in a few years. In September 2025, OpenAI published a study on how people use ChatGPT for everyday tasks. The study found that "non-work tasks" (according to an LLM-based classifier) account for more than 72 percent of all ChatGPT usage, with a minority of overall usage related to business productivity. In July 2023, OpenAI launched the superalignment project, aiming within four years to determine how to align future superintelligent systems. OpenAI promised to dedicate 20% of its computing resources to the project, although the team denied receiving anything close to 20%. OpenAI ended the project in May 2024 after its co-leaders Ilya Sutskever and Jan Leike left the company. In August 2025, OpenAI was criticized after thousands of private ChatGPT conversations were inadvertently exposed to public search engines like Google due to an experimental "share with search engines" feature. The opt-in toggle, intended to allow users to make specific chats discoverable, resulted in some discussions including personal details such as names, locations, and intimate topics appearing in search results when users accidentally enabled it while sharing links. OpenAI announced the feature's permanent removal on August 1, 2025, and the company began coordinating with search providers to remove the exposed content, emphasizing that it was not a security breach but a design flaw that heightened privacy risks. CEO Sam Altman acknowledged the issue in a podcast, noting users often treat ChatGPT as a confidant for deeply personal matters, which amplified concerns about AI handling sensitive data. Management In 2018, Musk resigned from his Board of Directors seat, citing "a potential future conflict [of interest]" with his role as CEO of Tesla due to Tesla's AI development for self-driving cars. OpenAI stated that Musk's financial contributions were below $45 million. On March 3, 2023, Reid Hoffman resigned from his board seat, citing a desire to avoid conflicts of interest with his investments in AI companies via Greylock Partners, and his co-founding of the AI startup Inflection AI. Hoffman remained on the board of Microsoft, a major investor in OpenAI. In May 2024, Chief Scientist Ilya Sutskever resigned and was succeeded by Jakub Pachocki. Co-leader Jan Leike also departed amid concerns over safety and trust. OpenAI then signed deals with Reddit, News Corp, Axios, and Vox Media. Paul Nakasone then joined the board of OpenAI. In August 2024, cofounder John Schulman left OpenAI to join Anthropic, and OpenAI's president Greg Brockman took extended leave until November. In September 2024, CTO Mira Murati left the company. In November 2025, Lawrence Summers resigned from the board of directors. Governance and legal issues In May 2023, Sam Altman, Greg Brockman and Ilya Sutskever posted recommendations for the governance of superintelligence. They stated that superintelligence could happen within the next 10 years, allowing a "dramatically more prosperous future" and that "given the possibility of existential risk, we can't just be reactive". They proposed creating an international watchdog organization similar to IAEA to oversee AI systems above a certain capability threshold, suggesting that relatively weak AI systems on the other side should not be overly regulated. They also called for more technical safety research for superintelligences, and asked for more coordination, for example through governments launching a joint project which "many current efforts become part of". In July 2023, the FTC issued a civil investigative demand to OpenAI to investigate whether the company's data security and privacy practices to develop ChatGPT were unfair or harmed consumers (including by reputational harm) in violation of Section 5 of the Federal Trade Commission Act of 1914. These are typically preliminary investigative matters and are nonpublic, but the FTC's document was leaked. In July 2023, the FTC launched an investigation into OpenAI over allegations that the company scraped public data and published false and defamatory information. They asked OpenAI for comprehensive information about its technology and privacy safeguards, as well as any steps taken to prevent the recurrence of situations in which its chatbot generated false and derogatory content about people. The agency also raised concerns about ‘circular’ spending arrangements—for example, Microsoft extending Azure credits to OpenAI while both companies shared engineering talent—and warned that such structures could negatively affect the public. In September 2024, OpenAI's global affairs chief endorsed the UK's "smart" AI regulation during testimony to a House of Lords committee. In February 2025, OpenAI CEO Sam Altman stated that the company is interested in collaborating with the People's Republic of China, despite regulatory restrictions imposed by the U.S. government. This shift comes in response to the growing influence of the Chinese artificial intelligence company DeepSeek, which has disrupted the AI market with open models, including DeepSeek V3 and DeepSeek R1. Following DeepSeek's market emergence, OpenAI enhanced security protocols to protect proprietary development techniques from industrial espionage. Some industry observers noted similarities between DeepSeek's model distillation approach and OpenAI's methodology, though no formal intellectual property claim was filed. According to Oliver Roberts, in March 2025, the United States had 781 state AI bills or laws. OpenAI advocated for preempting state AI laws with federal laws. According to Scott Kohler, OpenAI has opposed California's AI legislation and suggested that the state bill encroaches on a more competent federal government. Public Citizen opposed a federal preemption on AI and pointed to OpenAI's growth and valuation as evidence that existing state laws have not hampered innovation. Before May 2024, OpenAI required departing employees to sign a lifelong non-disparagement agreement forbidding them from criticizing OpenAI and acknowledging the existence of the agreement. Daniel Kokotajlo, a former employee, publicly stated that he forfeited his vested equity in OpenAI in order to leave without signing the agreement. Sam Altman stated that he was unaware of the equity cancellation provision, and that OpenAI never enforced it to cancel any employee's vested equity. However, leaked documents and emails refute this claim. On May 23, 2024, OpenAI sent a memo releasing former employees from the agreement. OpenAI was sued for copyright infringement by authors Sarah Silverman, Matthew Butterick, Paul Tremblay and Mona Awad in July 2023. In September 2023, 17 authors, including George R. R. Martin, John Grisham, Jodi Picoult and Jonathan Franzen, joined the Authors Guild in filing a class action lawsuit against OpenAI, alleging that the company's technology was illegally using their copyrighted work. The New York Times also sued the company in late December 2023. In May 2024 it was revealed that OpenAI had destroyed its Books1 and Books2 training datasets, which were used in the training of GPT-3, and which the Authors Guild believed to have contained over 100,000 copyrighted books. In 2021, OpenAI developed a speech recognition tool called Whisper. OpenAI used it to transcribe more than one million hours of YouTube videos into text for training GPT-4. The automated transcription of YouTube videos raised concerns within OpenAI employees regarding potential violations of YouTube's terms of service, which prohibit the use of videos for applications independent of the platform, as well as any type of automated access to its videos. Despite these concerns, the project proceeded with notable involvement from OpenAI's president, Greg Brockman. The resulting dataset proved instrumental in training GPT-4. In February 2024, The Intercept as well as Raw Story and Alternate Media Inc. filed lawsuit against OpenAI on copyright litigation ground. The lawsuit is said to have charted a new legal strategy for digital-only publishers to sue OpenAI. On April 30, 2024, eight newspapers filed a lawsuit in the Southern District of New York against OpenAI and Microsoft, claiming illegal harvesting of their copyrighted articles. The suing publications included The Mercury News, The Denver Post, The Orange County Register, St. Paul Pioneer Press, Chicago Tribune, Orlando Sentinel, Sun Sentinel, and New York Daily News. In June 2023, a lawsuit claimed that OpenAI scraped 300 billion words online without consent and without registering as a data broker. It was filed in San Francisco, California, by sixteen anonymous plaintiffs. They also claimed that OpenAI and its partner as well as customer Microsoft continued to unlawfully collect and use personal data from millions of consumers worldwide to train artificial intelligence models. On May 22, 2024, OpenAI entered into an agreement with News Corp to integrate news content from The Wall Street Journal, the New York Post, The Times, and The Sunday Times into its AI platform. Meanwhile, other publications like The New York Times chose to sue OpenAI and Microsoft for copyright infringement over the use of their content to train AI models. In November 2024, a coalition of Canadian news outlets, including the Toronto Star, Metroland Media, Postmedia, The Globe and Mail, The Canadian Press and CBC, sued OpenAI for using their news articles to train its software without permission. In October 2024 during a New York Times interview, Suchir Balaji accused OpenAI of violating copyright law in developing its commercial LLMs which he had helped engineer. He was a likely witness in a major copyright trial against the AI company, and was one of several of its current or former employees named in court filings as potentially having documents relevant to the case. On November 26, 2024, Balaji died by suicide. His death prompted the circulation of conspiracy theories alleging that he had been deliberately silenced. California Congressman Ro Khanna endorsed calls for an investigation. On April 24, 2025, Ziff Davis sued OpenAI in Delaware federal court for copyright infringement. Ziff Davis is known for publications such as ZDNet, PCMag, CNET, IGN and Lifehacker. In April 2023, the EU's European Data Protection Board (EDPB) formed a dedicated task force on ChatGPT "to foster cooperation and to exchange information on possible enforcement actions conducted by data protection authorities" based on the "enforcement action undertaken by the Italian data protection authority against OpenAI about the ChatGPT service". In late April 2024 NOYB filed a complaint with the Austrian Datenschutzbehörde against OpenAI for violating the European General Data Protection Regulation. A text created with ChatGPT gave a false date of birth for a living person without giving the individual the option to see the personal data used in the process. A request to correct the mistake was denied. Additionally, neither the recipients of ChatGPT's work nor the sources used, could be made available, OpenAI claimed. OpenAI was criticized for lifting its ban on using ChatGPT for "military and warfare". Up until January 10, 2024, its "usage policies" included a ban on "activity that has high risk of physical harm, including", specifically, "weapons development" and "military and warfare". Its new policies prohibit "[using] our service to harm yourself or others" and to "develop or use weapons". In August 2025, the parents of a 16-year-old boy who died by suicide filed a wrongful death lawsuit against OpenAI (and CEO Sam Altman), alleging that months of conversations with ChatGPT about mental health and methods of self-harm contributed to their son's death and that safeguards were inadequate for minors. OpenAI expressed condolences and said it was strengthening protections (including updated crisis response behavior and parental controls). Coverage described it as a first-of-its-kind wrongful death case targeting the company's chatbot. The complaint was filed in California state court in San Francisco. In November 2025, the Social Media Victims Law Center and Tech Justice Law Project filed seven lawsuits against OpenAI, of which four lawsuits alleged wrongful death. The suits were filed on behalf of Zane Shamblin, 23, of Texas; Amaurie Lacey, 17, of Georgia; Joshua Enneking, 26, of Florida; and Joe Ceccanti, 48, of Oregon, who each committed suicide after prolonged ChatGPT usage. In December 2025, Stein-Erik Soelberg, who was 56 years old at the time, allegedly murdered his mother Suzanne Adams. In the months prior the paranoid, delusional man often discussed his ideas with ChatGPT. Adam's estate then sued OpenAI claiming that the company shared responsibility due to the risk of chatbot psychosis despite the fact that chatbot psychosis is not a real medical diagnosis. OpenAI responded saying they will make ChatGPT safer for users disconnected from reality. See also References Further reading External links |
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[SOURCE: https://en.wikipedia.org/wiki/Pixel_Chix] | [TOKENS: 1161] |
Contents Pixel Chix Pixel Chix was a hand-held life simulation video game released by Mattel in 2005. The game was set in a dollhouse and was centered around interactions with a digital girl. Gameplay included feeding her, playing games, dressing her, going out, and putting her to bed. New items and activities were unlockable through in-game progression. Mattel released other games in the Pixel Chix series, including Roomies, a life simulator featuring six characters living in a three-story apartment complex, as well as a babysitting simulator and a pet simulator. Tara Strong voices all of the characters in Pixel Chix, except for Miss Sporty, who is voiced by Katherine Von Till. Each house includes a lounge, kitchen and dining area, and steps leading upstairs. The first line of houses includes a cottage, mansion, and loft, and a different girl inhabits each. The 2-Story House variant allows the player to view and access the second story, and only includes a cottage and loft. Each house also comes in different colors including blue, pink and yellow. A unique purple loft was released only in Europe. Fitted at the bottom sides of every house are USB-like plug-ins that connect the houses together that allows different Pixel Chix to visit and interact with each other. Pixel Chix were successful upon release, forming an important part of Mattel's earnings that year. In 2009, Mattel discontinued the brand, but Pixel Chix remained on the Everythinggirl.com website until the website shut down in 2015. [citation needed] Premise In the game, two or more houses can be connected, allowing the characters (the Pixel Chix) to visit one another. These characters can be controlled in ways similar to other hand-held games, such as Tamagotchi. They can be told to go for a walk, watch television, eat a variety of foods, such as popcorn and hamburgers, and go to sleep. The more they are played with, the more options appear to the player; higher levels introduce different types of food, more outfits and more games to play. If they are ignored, they will decrease in skill level. Eventually, if ignored for too long, the game will "end" by causing the characters to "leave", although they can come back by resetting the game using a mini screwdriver into a reset hole. The story is based and shown on the Internet of women living in an all-female college and fashionable poses, beginning with a house, then mate's connection and following with cars and babysitting. Variations and accessories A number of Pixel Chix accessories have been created including the "Road Trippin' Cars" where one can go to the mall, go to the beach, or do many other things. The cars come in multiple colors. There are also metallic Road Trippin' Cars and a glitter house that were only released in Europe. Also available is the Pixel Chix Love 2 Shop mall, where the Pixel Chix can work, shop, play games, and take breaks. There are two different malls, a boutique/food court, and a pet shop/salon. Each mall has an LCD flip screen, allowing the Pixel Chix girl to change stores. They are able to connect to the houses, cars, and other malls. Another available accessory is the Pixel Chix two-story house. It is almost the exact replica of the original Pixel Chix except that it has an upstairs bedroom. There, the Pixel Chix can put on makeup at the vanity, go to the bathroom, and much more. They come in dark and light pink and are connectable to the cars, malls, and other houses. Here, no matter how long she is neglected, the Pixel Chix girl remains happy in the player's house with the player's level skills kept the same. There is also Pixel Pets (Secret Life of Pets) in which pets can start becoming disco stars, the animal equivalent of Pixel Chix. Dogs and hamsters are available. Also available is a babysitter house where the Pixel Chix looks after a baby girl. The red light flashes if something is wrong or needs attention. There is the "Roomies" House with three floors (six rooms in all) with five different roommates - Diva Queen, DJ Hip Hop, Punk Rocker, Super Smarty and Miss Sporty - who are all sold separately, except for Miss Sporty, who comes with the Roomies house. There is a Pixel Chix TV, which comes with a remote control to switch channels and also unlock channels. The last Pixel Chix product to be released was the "Fab Life City" where the Pixel Chix girl can go to the bank, mall and amusement park. There is also a piggy bank which can hold coins. McDonald's Happy Meal toys based on the line were released in 2008 in several countries, including Portugal, France, Australia and New Zealand. Specification The toys have an LCD screen display of various sizes, and are powered by four AAA alkaline batteries, while the cars use only 3 AAA batteries. Since they were distributed in several countries, the voices of the characters were translated depending on where they were sold, being printed on the motherboard what language is programmed onto the ROM of the machine. Website There was an official website of Pixel Chix on Everythinggirl.com. There were games, such as "Monster Baby" and four mini-games which could be unlocked, videos of TV commercials, T-shirt graphics, a downloadable desktop buddy, as well as secret codes and a movie maker similar to that of Zimmer Twins. The website closed in 2014 along with the My Scene website.[citation needed] References External links |
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[SOURCE: https://en.wikipedia.org/wiki/Social_network#cite_ref-29] | [TOKENS: 5247] |
Contents Social network 1800s: Martineau · Tocqueville · Marx · Spencer · Le Bon · Ward · Pareto · Tönnies · Veblen · Simmel · Durkheim · Addams · Mead · Weber · Du Bois · Mannheim · Elias A social network is a social structure consisting of a set of social actors (such as individuals or organizations), networks of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities along with a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine dynamics of networks. For instance, social network analysis has been used in studying the spread of misinformation on social media platforms or analyzing the influence of key figures in social networks. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s. Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science. Overview The social network is a theoretical construct useful in the social sciences to study relationships between individuals, groups, organizations, or even entire societies (social units, see differentiation). The term is used to describe a social structure determined by such interactions. The ties through which any given social unit connects represent the convergence of the various social contacts of that unit. This theoretical approach is, necessarily, relational. An axiom of the social network approach to understanding social interaction is that social phenomena should be primarily conceived and investigated through the properties of relations between and within units, instead of the properties of these units themselves. Thus, one common criticism of social network theory is that individual agency is often ignored although this may not be the case in practice (see agent-based modeling). Precisely because many different types of relations, singular or in combination, form these network configurations, network analytics are useful to a broad range of research enterprises. In social science, these fields of study include, but are not limited to anthropology, biology, communication studies, economics, geography, information science, organizational studies, social psychology, sociology, and sociolinguistics. History In the late 1890s, both Émile Durkheim and Ferdinand Tönnies foreshadowed the idea of social networks in their theories and research of social groups. Tönnies argued that social groups can exist as personal and direct social ties that either link individuals who share values and belief (Gemeinschaft, German, commonly translated as "community") or impersonal, formal, and instrumental social links (Gesellschaft, German, commonly translated as "society"). Durkheim gave a non-individualistic explanation of social facts, arguing that social phenomena arise when interacting individuals constitute a reality that can no longer be accounted for in terms of the properties of individual actors. Georg Simmel, writing at the turn of the twentieth century, pointed to the nature of networks and the effect of network size on interaction and examined the likelihood of interaction in loosely knit networks rather than groups. Major developments in the field can be seen in the 1930s by several groups in psychology, anthropology, and mathematics working independently. In psychology, in the 1930s, Jacob L. Moreno began systematic recording and analysis of social interaction in small groups, especially classrooms and work groups (see sociometry). In anthropology, the foundation for social network theory is the theoretical and ethnographic work of Bronislaw Malinowski, Alfred Radcliffe-Brown, and Claude Lévi-Strauss. A group of social anthropologists associated with Max Gluckman and the Manchester School, including John A. Barnes, J. Clyde Mitchell and Elizabeth Bott Spillius, often are credited with performing some of the first fieldwork from which network analyses were performed, investigating community networks in southern Africa, India and the United Kingdom. Concomitantly, British anthropologist S. F. Nadel codified a theory of social structure that was influential in later network analysis. In sociology, the early (1930s) work of Talcott Parsons set the stage for taking a relational approach to understanding social structure. Later, drawing upon Parsons' theory, the work of sociologist Peter Blau provides a strong impetus for analyzing the relational ties of social units with his work on social exchange theory. By the 1970s, a growing number of scholars worked to combine the different tracks and traditions. One group consisted of sociologist Harrison White and his students at the Harvard University Department of Social Relations. Also independently active in the Harvard Social Relations department at the time were Charles Tilly, who focused on networks in political and community sociology and social movements, and Stanley Milgram, who developed the "six degrees of separation" thesis. Mark Granovetter and Barry Wellman are among the former students of White who elaborated and championed the analysis of social networks. Beginning in the late 1990s, social network analysis experienced work by sociologists, political scientists, and physicists such as Duncan J. Watts, Albert-László Barabási, Peter Bearman, Nicholas A. Christakis, James H. Fowler, and others, developing and applying new models and methods to emerging data available about online social networks, as well as "digital traces" regarding face-to-face networks. Levels of analysis In general, social networks are self-organizing, emergent, and complex, such that a globally coherent pattern appears from the local interaction of the elements that make up the system. These patterns become more apparent as network size increases. However, a global network analysis of, for example, all interpersonal relationships in the world is not feasible and is likely to contain so much information as to be uninformative. Practical limitations of computing power, ethics and participant recruitment and payment also limit the scope of a social network analysis. The nuances of a local system may be lost in a large network analysis, hence the quality of information may be more important than its scale for understanding network properties. Thus, social networks are analyzed at the scale relevant to the researcher's theoretical question. Although levels of analysis are not necessarily mutually exclusive, there are three general levels into which networks may fall: micro-level, meso-level, and macro-level. At the micro-level, social network research typically begins with an individual, snowballing as social relationships are traced, or may begin with a small group of individuals in a particular social context. Dyadic level: A dyad is a social relationship between two individuals. Network research on dyads may concentrate on structure of the relationship (e.g. multiplexity, strength), social equality, and tendencies toward reciprocity/mutuality. Triadic level: Add one individual to a dyad, and you have a triad. Research at this level may concentrate on factors such as balance and transitivity, as well as social equality and tendencies toward reciprocity/mutuality. In the balance theory of Fritz Heider the triad is the key to social dynamics. The discord in a rivalrous love triangle is an example of an unbalanced triad, likely to change to a balanced triad by a change in one of the relations. The dynamics of social friendships in society has been modeled by balancing triads. The study is carried forward with the theory of signed graphs. Actor level: The smallest unit of analysis in a social network is an individual in their social setting, i.e., an "actor" or "ego." Egonetwork analysis focuses on network characteristics, such as size, relationship strength, density, centrality, prestige and roles such as isolates, liaisons, and bridges. Such analyses, are most commonly used in the fields of psychology or social psychology, ethnographic kinship analysis or other genealogical studies of relationships between individuals. Subset level: Subset levels of network research problems begin at the micro-level, but may cross over into the meso-level of analysis. Subset level research may focus on distance and reachability, cliques, cohesive subgroups, or other group actions or behavior. In general, meso-level theories begin with a population size that falls between the micro- and macro-levels. However, meso-level may also refer to analyses that are specifically designed to reveal connections between micro- and macro-levels. Meso-level networks are low density and may exhibit causal processes distinct from interpersonal micro-level networks. Organizations: Formal organizations are social groups that distribute tasks for a collective goal. Network research on organizations may focus on either intra-organizational or inter-organizational ties in terms of formal or informal relationships. Intra-organizational networks themselves often contain multiple levels of analysis, especially in larger organizations with multiple branches, franchises or semi-autonomous departments. In these cases, research is often conducted at a work group level and organization level, focusing on the interplay between the two structures. Experiments with networked groups online have documented ways to optimize group-level coordination through diverse interventions, including the addition of autonomous agents to the groups. Randomly distributed networks: Exponential random graph models of social networks became state-of-the-art methods of social network analysis in the 1980s. This framework has the capacity to represent social-structural effects commonly observed in many human social networks, including general degree-based structural effects commonly observed in many human social networks as well as reciprocity and transitivity, and at the node-level, homophily and attribute-based activity and popularity effects, as derived from explicit hypotheses about dependencies among network ties. Parameters are given in terms of the prevalence of small subgraph configurations in the network and can be interpreted as describing the combinations of local social processes from which a given network emerges. These probability models for networks on a given set of actors allow generalization beyond the restrictive dyadic independence assumption of micro-networks, allowing models to be built from theoretical structural foundations of social behavior. Scale-free networks: A scale-free network is a network whose degree distribution follows a power law, at least asymptotically. In network theory a scale-free ideal network is a random network with a degree distribution that unravels the size distribution of social groups. Specific characteristics of scale-free networks vary with the theories and analytical tools used to create them, however, in general, scale-free networks have some common characteristics. One notable characteristic in a scale-free network is the relative commonness of vertices with a degree that greatly exceeds the average. The highest-degree nodes are often called "hubs", and may serve specific purposes in their networks, although this depends greatly on the social context. Another general characteristic of scale-free networks is the clustering coefficient distribution, which decreases as the node degree increases. This distribution also follows a power law. The Barabási model of network evolution shown above is an example of a scale-free network. Rather than tracing interpersonal interactions, macro-level analyses generally trace the outcomes of interactions, such as economic or other resource transfer interactions over a large population. Large-scale networks: Large-scale network is a term somewhat synonymous with "macro-level." It is primarily used in social and behavioral sciences, and in economics. Originally, the term was used extensively in the computer sciences (see large-scale network mapping). Complex networks: Most larger social networks display features of social complexity, which involves substantial non-trivial features of network topology, with patterns of complex connections between elements that are neither purely regular nor purely random (see, complexity science, dynamical system and chaos theory), as do biological, and technological networks. Such complex network features include a heavy tail in the degree distribution, a high clustering coefficient, assortativity or disassortativity among vertices, community structure (see stochastic block model), and hierarchical structure. In the case of agency-directed networks these features also include reciprocity, triad significance profile (TSP, see network motif), and other features. In contrast, many of the mathematical models of networks that have been studied in the past, such as lattices and random graphs, do not show these features. Theoretical links Various theoretical frameworks have been imported for the use of social network analysis. The most prominent of these are Graph theory, Balance theory, Social comparison theory, and more recently, the Social identity approach. Few complete theories have been produced from social network analysis. Two that have are structural role theory and heterophily theory. The basis of Heterophily Theory was the finding in one study that more numerous weak ties can be important in seeking information and innovation, as cliques have a tendency to have more homogeneous opinions as well as share many common traits. This homophilic tendency was the reason for the members of the cliques to be attracted together in the first place. However, being similar, each member of the clique would also know more or less what the other members knew. To find new information or insights, members of the clique will have to look beyond the clique to its other friends and acquaintances. This is what Granovetter called "the strength of weak ties". Structural holes In the context of networks, social capital exists where people have an advantage because of their location in a network. Contacts in a network provide information, opportunities and perspectives that can be beneficial to the central player in the network. Most social structures tend to be characterized by dense clusters of strong connections. Information within these clusters tends to be rather homogeneous and redundant. Non-redundant information is most often obtained through contacts in different clusters. When two separate clusters possess non-redundant information, there is said to be a structural hole between them. Thus, a network that bridges structural holes will provide network benefits that are in some degree additive, rather than overlapping. An ideal network structure has a vine and cluster structure, providing access to many different clusters and structural holes. Networks rich in structural holes are a form of social capital in that they offer information benefits. The main player in a network that bridges structural holes is able to access information from diverse sources and clusters. For example, in business networks, this is beneficial to an individual's career because he is more likely to hear of job openings and opportunities if his network spans a wide range of contacts in different industries/sectors. This concept is similar to Mark Granovetter's theory of weak ties, which rests on the basis that having a broad range of contacts is most effective for job attainment. Structural holes have been widely applied in social network analysis, resulting in applications in a wide range of practical scenarios as well as machine learning-based social prediction. Research clusters Research has used network analysis to examine networks created when artists are exhibited together in museum exhibition. Such networks have been shown to affect an artist's recognition in history and historical narratives, even when controlling for individual accomplishments of the artist. Other work examines how network grouping of artists can affect an individual artist's auction performance. An artist's status has been shown to increase when associated with higher status networks, though this association has diminishing returns over an artist's career. In J.A. Barnes' day, a "community" referred to a specific geographic location and studies of community ties had to do with who talked, associated, traded, and attended church with whom. Today, however, there are extended "online" communities developed through telecommunications devices and social network services. Such devices and services require extensive and ongoing maintenance and analysis, often using network science methods. Community development studies, today, also make extensive use of such methods. Complex networks require methods specific to modelling and interpreting social complexity and complex adaptive systems, including techniques of dynamic network analysis. Mechanisms such as Dual-phase evolution explain how temporal changes in connectivity contribute to the formation of structure in social networks. The study of social networks is being used to examine the nature of interdependencies between actors and the ways in which these are related to outcomes of conflict and cooperation. Areas of study include cooperative behavior among participants in collective actions such as protests; promotion of peaceful behavior, social norms, and public goods within communities through networks of informal governance; the role of social networks in both intrastate conflict and interstate conflict; and social networking among politicians, constituents, and bureaucrats. In criminology and urban sociology, much attention has been paid to the social networks among criminal actors. For example, murders can be seen as a series of exchanges between gangs. Murders can be seen to diffuse outwards from a single source, because weaker gangs cannot afford to kill members of stronger gangs in retaliation, but must commit other violent acts to maintain their reputation for strength. Diffusion of ideas and innovations studies focus on the spread and use of ideas from one actor to another or one culture and another. This line of research seeks to explain why some become "early adopters" of ideas and innovations, and links social network structure with facilitating or impeding the spread of an innovation. A case in point is the social diffusion of linguistic innovation such as neologisms. Experiments and large-scale field trials (e.g., by Nicholas Christakis and collaborators) have shown that cascades of desirable behaviors can be induced in social groups, in settings as diverse as Honduras villages, Indian slums, or in the lab. Still other experiments have documented the experimental induction of social contagion of voting behavior, emotions, risk perception, and commercial products. In demography, the study of social networks has led to new sampling methods for estimating and reaching populations that are hard to enumerate (for example, homeless people or intravenous drug users.) For example, respondent driven sampling is a network-based sampling technique that relies on respondents to a survey recommending further respondents. The field of sociology focuses almost entirely on networks of outcomes of social interactions. More narrowly, economic sociology considers behavioral interactions of individuals and groups through social capital and social "markets". Sociologists, such as Mark Granovetter, have developed core principles about the interactions of social structure, information, ability to punish or reward, and trust that frequently recur in their analyses of political, economic and other institutions. Granovetter examines how social structures and social networks can affect economic outcomes like hiring, price, productivity and innovation and describes sociologists' contributions to analyzing the impact of social structure and networks on the economy. Analysis of social networks is increasingly incorporated into health care analytics, not only in epidemiological studies but also in models of patient communication and education, disease prevention, mental health diagnosis and treatment, and in the study of health care organizations and systems. Human ecology is an interdisciplinary and transdisciplinary study of the relationship between humans and their natural, social, and built environments. The scientific philosophy of human ecology has a diffuse history with connections to geography, sociology, psychology, anthropology, zoology, and natural ecology. In the study of literary systems, network analysis has been applied by Anheier, Gerhards and Romo, De Nooy, Senekal, and Lotker, to study various aspects of how literature functions. The basic premise is that polysystem theory, which has been around since the writings of Even-Zohar, can be integrated with network theory and the relationships between different actors in the literary network, e.g. writers, critics, publishers, literary histories, etc., can be mapped using visualization from SNA. Research studies of formal or informal organization relationships, organizational communication, economics, economic sociology, and other resource transfers. Social networks have also been used to examine how organizations interact with each other, characterizing the many informal connections that link executives together, as well as associations and connections between individual employees at different organizations. Many organizational social network studies focus on teams. Within team network studies, research assesses, for example, the predictors and outcomes of centrality and power, density and centralization of team instrumental and expressive ties, and the role of between-team networks. Intra-organizational networks have been found to affect organizational commitment, organizational identification, interpersonal citizenship behaviour. Social capital is a form of economic and cultural capital in which social networks are central, transactions are marked by reciprocity, trust, and cooperation, and market agents produce goods and services not mainly for themselves, but for a common good. Social capital is split into three dimensions: the structural, the relational and the cognitive dimension. The structural dimension describes how partners interact with each other and which specific partners meet in a social network. Also, the structural dimension of social capital indicates the level of ties among organizations. This dimension is highly connected to the relational dimension which refers to trustworthiness, norms, expectations and identifications of the bonds between partners. The relational dimension explains the nature of these ties which is mainly illustrated by the level of trust accorded to the network of organizations. The cognitive dimension analyses the extent to which organizations share common goals and objectives as a result of their ties and interactions. Social capital is a sociological concept about the value of social relations and the role of cooperation and confidence to achieve positive outcomes. The term refers to the value one can get from their social ties. For example, newly arrived immigrants can make use of their social ties to established migrants to acquire jobs they may otherwise have trouble getting (e.g., because of unfamiliarity with the local language). A positive relationship exists between social capital and the intensity of social network use. In a dynamic framework, higher activity in a network feeds into higher social capital which itself encourages more activity. This particular cluster focuses on brand-image and promotional strategy effectiveness, taking into account the impact of customer participation on sales and brand-image. This is gauged through techniques such as sentiment analysis which rely on mathematical areas of study such as data mining and analytics. This area of research produces vast numbers of commercial applications as the main goal of any study is to understand consumer behaviour and drive sales. In many organizations, members tend to focus their activities inside their own groups, which stifles creativity and restricts opportunities. A player whose network bridges structural holes has an advantage in detecting and developing rewarding opportunities. Such a player can mobilize social capital by acting as a "broker" of information between two clusters that otherwise would not have been in contact, thus providing access to new ideas, opinions and opportunities. British philosopher and political economist John Stuart Mill, writes, "it is hardly possible to overrate the value of placing human beings in contact with persons dissimilar to themselves.... Such communication [is] one of the primary sources of progress." Thus, a player with a network rich in structural holes can add value to an organization through new ideas and opportunities. This in turn, helps an individual's career development and advancement. A social capital broker also reaps control benefits of being the facilitator of information flow between contacts. Full communication with exploratory mindsets and information exchange generated by dynamically alternating positions in a social network promotes creative and deep thinking. In the case of consulting firm Eden McCallum, the founders were able to advance their careers by bridging their connections with former big three consulting firm consultants and mid-size industry firms. By bridging structural holes and mobilizing social capital, players can advance their careers by executing new opportunities between contacts. There has been research that both substantiates and refutes the benefits of information brokerage. A study of high tech Chinese firms by Zhixing Xiao found that the control benefits of structural holes are "dissonant to the dominant firm-wide spirit of cooperation and the information benefits cannot materialize due to the communal sharing values" of such organizations. However, this study only analyzed Chinese firms, which tend to have strong communal sharing values. Information and control benefits of structural holes are still valuable in firms that are not quite as inclusive and cooperative on the firm-wide level. In 2004, Ronald Burt studied 673 managers who ran the supply chain for one of America's largest electronics companies. He found that managers who often discussed issues with other groups were better paid, received more positive job evaluations and were more likely to be promoted. Thus, bridging structural holes can be beneficial to an organization, and in turn, to an individual's career. Computer networks combined with social networking software produce a new medium for social interaction. A relationship over a computerized social networking service can be characterized by context, direction, and strength. The content of a relation refers to the resource that is exchanged. In a computer-mediated communication context, social pairs exchange different kinds of information, including sending a data file or a computer program as well as providing emotional support or arranging a meeting. With the rise of electronic commerce, information exchanged may also correspond to exchanges of money, goods or services in the "real" world. Social network analysis methods have become essential to examining these types of computer mediated communication. In addition, the sheer size and the volatile nature of social media has given rise to new network metrics. A key concern with networks extracted from social media is the lack of robustness of network metrics given missing data. Based on the pattern of homophily, ties between people are most likely to occur between nodes that are most similar to each other, or within neighbourhood segregation, individuals are most likely to inhabit the same regional areas as other individuals who are like them. Therefore, social networks can be used as a tool to measure the degree of segregation or homophily within a social network. Social Networks can both be used to simulate the process of homophily but it can also serve as a measure of level of exposure of different groups to each other within a current social network of individuals in a certain area. See also References Further reading External links |
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Contents Meta Platforms Meta Platforms, Inc. (doing business as Meta) is an American multinational technology company headquartered in Menlo Park, California. Meta owns and operates several prominent social media platforms and communication services, including Facebook, Instagram, WhatsApp, Messenger, Threads and Manus. The company also operates an advertising network for its own sites and third parties; as of 2023[update], advertising accounted for 97.8 percent of its total revenue. Meta has been described as a part of Big Tech, which refers to the largest six tech companies in the United States, Alphabet (Google), Amazon, Apple, Meta (Facebook), Microsoft, and Nvidia, which are also the largest companies in the world by market capitalization. The company was originally established in 2004 as TheFacebook, Inc., and was renamed Facebook, Inc. in 2005. In 2021, it rebranded as Meta Platforms, Inc. to reflect a strategic shift toward developing the metaverse—an interconnected digital ecosystem spanning virtual and augmented reality technologies. In 2023, Meta was ranked 31st on the Forbes Global 2000 list of the world's largest public companies. As of 2022, it was the world's third-largest spender on research and development, with R&D expenses totaling US$35.3 billion. History Facebook filed for an initial public offering (IPO) on January 1, 2012. The preliminary prospectus stated that the company sought to raise $5 billion, had 845 million monthly active users, and a website accruing 2.7 billion likes and comments daily. After the IPO, Zuckerberg would retain 22% of the total shares and 57% of the total voting power in Facebook. Underwriters valued the shares at $38 each, valuing the company at $104 billion, the largest valuation yet for a newly public company. On May 16, one day before the IPO, Facebook announced it would sell 25% more shares than originally planned due to high demand. The IPO raised $16 billion, making it the third-largest in US history (slightly ahead of AT&T Mobility and behind only General Motors and Visa). The stock price left the company with a higher market capitalization than all but a few U.S. corporations—surpassing heavyweights such as Amazon, McDonald's, Disney, and Kraft Foods—and made Zuckerberg's stock worth $19 billion. The New York Times stated that the offering overcame questions about Facebook's difficulties in attracting advertisers to transform the company into a "must-own stock". Jimmy Lee of JPMorgan Chase described it as "the next great blue-chip". Writers at TechCrunch, on the other hand, expressed skepticism, stating, "That's a big multiple to live up to, and Facebook will likely need to add bold new revenue streams to justify the mammoth valuation." Trading in the stock, which began on May 18, was delayed that day due to technical problems with the Nasdaq exchange. The stock struggled to stay above the IPO price for most of the day, forcing underwriters to buy back shares to support the price. At the closing bell, shares were valued at $38.23, only $0.23 above the IPO price and down $3.82 from the opening bell value. The opening was widely described by the financial press as a disappointment. The stock set a new record for trading volume of an IPO. On May 25, 2012, the stock ended its first full week of trading at $31.91, a 16.5% decline. On May 22, 2012, regulators from Wall Street's Financial Industry Regulatory Authority announced that they had begun to investigate whether banks underwriting Facebook had improperly shared information only with select clients rather than the general public. Massachusetts Secretary of State William F. Galvin subpoenaed Morgan Stanley over the same issue. The allegations sparked "fury" among some investors and led to the immediate filing of several lawsuits, one of them a class action suit claiming more than $2.5 billion in losses due to the IPO. Bloomberg estimated that retail investors may have lost approximately $630 million on Facebook stock since its debut. S&P Global Ratings added Facebook to its S&P 500 index on December 21, 2013. On May 2, 2014, Zuckerberg announced that the company would be changing its internal motto from "Move fast and break things" to "Move fast with stable infrastructure". The earlier motto had been described as Zuckerberg's "prime directive to his developers and team" in a 2009 interview in Business Insider, in which he also said, "Unless you are breaking stuff, you are not moving fast enough." In November 2016, Facebook announced the Microsoft Windows client of gaming service Facebook Gameroom, formerly Facebook Games Arcade, at the Unity Technologies developers conference. The client allows Facebook users to play "native" games in addition to its web games. The service was closed in June 2021. Lasso was a short-video sharing app from Facebook similar to TikTok that was launched on iOS and Android in 2018 and was aimed at teenagers. On July 2, 2020, Facebook announced that Lasso would be shutting down on July 10. In 2018, the Oculus lead Jason Rubin sent his 50-page vision document titled "The Metaverse" to Facebook's leadership. In the document, Rubin acknowledged that Facebook's virtual reality business had not caught on as expected, despite the hundreds of millions of dollars spent on content for early adopters. He also urged the company to execute fast and invest heavily in the vision, to shut out HTC, Apple, Google and other competitors in the VR space. Regarding other players' participation in the metaverse vision, he called for the company to build the "metaverse" to prevent their competitors from "being in the VR business in a meaningful way at all". In May 2019, Facebook founded Libra Networks, reportedly to develop their own stablecoin cryptocurrency. Later, it was reported that Libra was being supported by financial companies such as Visa, Mastercard, PayPal and Uber. The consortium of companies was expected to pool in $10 million each to fund the launch of the cryptocurrency coin named Libra. Depending on when it would receive approval from the Swiss Financial Market Supervisory authority to operate as a payments service, the Libra Association had planned to launch a limited format cryptocurrency in 2021. Libra was renamed Diem, before being shut down and sold in January 2022 after backlash from Swiss government regulators and the public. During the COVID-19 pandemic, the use of online services, including Facebook, grew globally. Zuckerberg predicted this would be a "permanent acceleration" that would continue after the pandemic. Facebook hired aggressively, growing from 48,268 employees in March 2020 to more than 87,000 by September 2022. Following a period of intense scrutiny and damaging whistleblower leaks, news started to emerge on October 21, 2021 about Facebook's plan to rebrand the company and change its name. In the Q3 2021 earnings call on October 25, Mark Zuckerberg discussed the ongoing criticism of the company's social services and the way it operates, and pointed to the pivoting efforts to building the metaverse – without mentioning the rebranding and the name change. The metaverse vision and the name change from Facebook, Inc. to Meta Platforms was introduced at Facebook Connect on October 28, 2021. Based on Facebook's PR campaign, the name change reflects the company's shifting long term focus of building the metaverse, a digital extension of the physical world by social media, virtual reality and augmented reality features. "Meta" had been registered as a trademark in the United States in 2018 (after an initial filing in 2015) for marketing, advertising, and computer services, by a Canadian company that provided big data analysis of scientific literature. This company was acquired in 2017 by the Chan Zuckerberg Initiative (CZI), a foundation established by Zuckerberg and his wife, Priscilla Chan, and became one of their projects. Following the rebranding announcement, CZI announced that it had already decided to deprioritize the earlier Meta project, thus it would be transferring its rights to the name to Meta Platforms, and the previous project would end in 2022. Soon after the rebranding, in early February 2022, Meta reported a greater-than-expected decline in profits in the fourth quarter of 2021. It reported no growth in monthly users, and indicated it expected revenue growth to stall. It also expected measures taken by Apple Inc. to protect user privacy to cost it some $10 billion in advertisement revenue, an amount equal to roughly 8% of its revenue for 2021. In meeting with Meta staff the day after earnings were reported, Zuckerberg blamed competition for user attention, particularly from video-based apps such as TikTok. The 27% reduction in the company's share price which occurred in reaction to the news eliminated some $230 billion of value from Meta's market capitalization. Bloomberg described the decline as "an epic rout that, in its sheer scale, is unlike anything Wall Street or Silicon Valley has ever seen". Zuckerberg's net worth fell by as much as $31 billion. Zuckerberg owns 13% of Meta, and the holding makes up the bulk of his wealth. According to published reports by Bloomberg on March 30, 2022, Meta turned over data such as phone numbers, physical addresses, and IP addresses to hackers posing as law enforcement officials using forged documents. The law enforcement requests sometimes included forged signatures of real or fictional officials. When asked about the allegations, a Meta representative said, "We review every data request for legal sufficiency and use advanced systems and processes to validate law enforcement requests and detect abuse." In June 2022, Sheryl Sandberg, the chief operating officer of 14 years, announced she would step down that year. Zuckerberg said that Javier Olivan would replace Sandberg, though in a “more traditional” role. In March 2022, Meta (except Meta-owned WhatsApp) and Instagram were banned in Russia and added to the Russian list of terrorist and extremist organizations for alleged Russophobia and hate speech (up to genocidal calls) amid the ongoing Russian invasion of Ukraine. Meta appealed against the ban, but it was upheld by a Moscow court in June of the same year. Also in March 2022, Meta and Italian eyewear giant Luxottica released Ray-Ban Stories, a series of smartglasses which could play music and take pictures. Meta and Luxottica parent company EssilorLuxottica declined to disclose sales on the line of products as of September 2022, though Meta has expressed satisfaction with its customer feedback. In July 2022, Meta saw its first year-on-year revenue decline when its total revenue slipped by 1% to $28.8bn. Analysts and journalists accredited the loss to its advertising business, which has been limited by Apple's app tracking transparency feature and the number of people who have opted not to be tracked by Meta apps. Zuckerberg also accredited the decline to increasing competition from TikTok. On October 27, 2022, Meta's market value dropped to $268 billion, a loss of around $700 billion compared to 2021, and its shares fell by 24%. It lost its spot among the top 20 US companies by market cap, despite reaching the top 5 in the previous year. In November 2022, Meta laid off 11,000 employees, 13% of its workforce. Zuckerberg said the decision to aggressively increase Meta's investments had been a mistake, as he had wrongly predicted that the surge in e-commerce would last beyond the COVID-19 pandemic. He also attributed the decline to increased competition, a global economic downturn and "ads signal loss". Plans to lay off a further 10,000 employees began in April 2023. The layoffs were part of a general downturn in the technology industry, alongside layoffs by companies including Google, Amazon, Tesla, Snap, Twitter and Lyft. Starting from 2022, Meta scrambled to catch up to other tech companies in adopting specialized artificial intelligence hardware and software. It had been using less expensive CPUs instead of GPUs for AI work, but that approach turned out to be less efficient. The company gifted the Inter-university Consortium for Political and Social Research $1.3 million to finance the Social Media Archive's aim to make their data available to social science research. In 2023, Ireland's Data Protection Commissioner imposed a record EUR 1.2 billion fine on Meta for transferring data from Europe to the United States without adequate protections for EU citizens.: 250 In March 2023, Meta announced a new round of layoffs that would cut 10,000 employees and close 5,000 open positions to make the company more efficient. Meta revenue surpassed analyst expectations for the first quarter of 2023 after announcing that it was increasing its focus on AI. On July 6, Meta launched a new app, Threads, a competitor to Twitter. Meta announced its artificial intelligence model Llama 2 in July 2023, available for commercial use via partnerships with major cloud providers like Microsoft. It was the first project to be unveiled out of Meta's generative AI group after it was set up in February. It would not charge access or usage but instead operate with an open-source model to allow Meta to ascertain what improvements need to be made. Prior to this announcement, Meta said it had no plans to release Llama 2 for commercial use. An earlier version of Llama was released to academics. In August 2023, Meta announced its permanent removal of news content from Facebook and Instagram in Canada due to the Online News Act, which requires Canadian news outlets to be compensated for content shared on its platform. The Online News Act was in effect by year-end, but Meta will not participate in the regulatory process. In October 2023, Zuckerberg said that AI would be Meta's biggest investment area in 2024. Meta finished 2023 as one of the best-performing technology stocks of the year, with its share price up 150 percent. Its stock reached an all-time high in January 2024, bringing Meta within 2% of achieving $1 trillion market capitalization. In November 2023 Meta Platforms launched an ad-free service in Europe, allowing subscribers to opt-out of personal data being collected for targeted advertising. A group of 28 European organizations, including Max Schrems' advocacy group NOYB, the Irish Council for Civil Liberties, Wikimedia Europe, and the Electronic Privacy Information Center, signed a 2024 letter to the European Data Protection Board (EDPB) expressing concern that this subscriber model would undermine privacy protections, specifically GDPR data protection standards. Meta removed the Facebook and Instagram accounts of Iran's Supreme Leader Ali Khamenei in February 2024, citing repeated violations of its Dangerous Organizations & Individuals policy. As of March, Meta was under investigation by the FDA for alleged use of their social media platforms to sell illegal drugs. On 16 May 2024, the European Commission began an investigation into Meta over concerns related to child safety. In May 2023, Iraqi social media influencer Esaa Ahmed-Adnan encountered a troubling issue when Instagram removed his posts, citing false copyright violations despite his content being original and free from copyrighted material. He discovered that extortionists were behind these takedowns, offering to restore his content for $3,000 or provide ongoing protection for $1,000 per month. This scam, exploiting Meta’s rights management tools, became widespread in the Middle East, revealing a gap in Meta’s enforcement in developing regions. An Iraqi nonprofit Tech4Peace’s founder, Aws al-Saadi helped Ahmed-Adnan and others, but the restoration process was slow, leading to significant financial losses for many victims, including prominent figures like Ammar al-Hakim. This situation highlighted Meta’s challenges in balancing global growth with effective content moderation and protection. On 16 September 2024, Meta announced it had banned Russian state media outlets from its platforms worldwide due to concerns about "foreign interference activity." This decision followed allegations that RT and its employees funneled $10 million through shell companies to secretly fund influence campaigns on various social media channels. Meta's actions were part of a broader effort to counter Russian covert influence operations, which had intensified since the invasion. At its 2024 Connect conference, Meta presented Orion, its first pair of augmented reality glasses. Though Orion was originally intended to be sold to consumers, the manufacturing process turned out to be too complex and expensive. Instead, the company pivoted to producing a small number of the glasses to be used internally. On 4 October 2024, Meta announced about its new AI model called Movie Gen, capable of generating realistic video and audio clips based on user prompts. Meta stated it would not release Movie Gen for open development, preferring to collaborate directly with content creators and integrate it into its products by the following year. The model was built using a combination of licensed and publicly available datasets. On October 31, 2024, ProPublica published an investigation into deceptive political advertisement scams that sometimes use hundreds of hijacked profiles and facebook pages run by organized networks of scammers. The authors cited spotty enforcement by Meta as a major reason for the extent of the issue. In November 2024, TechCrunch reported that Meta were considering building a $10bn global underwater cable spanning 25,000 miles. In the same month, Meta closed down 2 million accounts on Facebook and Instagram that were linked to scam centers in Myanmar, Laos, Cambodia, the Philippines, and the United Arab Emirates doing pig butchering scams. In December 2024, Meta announced that, beginning February 2025, they would require advertisers to run ads about financial services in Australia to verify information about who are the beneficiary and the payer in a bid to regulate scams. On December 4, 2024, Meta announced it will invest US$10 billion for its largest AI data center in northeast Louisiana, powered by natural gas facilities. On the 11th of that month, Meta experienced a global outage, impacting accounts on all of their social media and messaging applications. Outage reports from DownDetector reached 70,000+ and 100,000+ within minutes for Instagram and Facebook, respectively. In January 2025, Meta announced plans to roll back its diversity, equity, and inclusion (DEI) initiatives, citing shifts in the "legal and policy landscape" in the United States following the 2024 presidential election. The decision followed reports that CEO Mark Zuckerberg sought to align the company more closely with the incoming Trump administration, including changes to content moderation policies and executive leadership. The new content moderation policies continued to bar insults about a person's intellect or mental illness, but made an exception to allow calling LGBTQ people mentally ill because they are gay or transgender. Later that month, Meta agreed to pay $25 million to settle a 2021 lawsuit brought by Donald Trump for suspending his social media accounts after the January 6 riots. Changes to Meta's moderation policies were controversial among its oversight board, with a significant divide in opinion between the board's US conservatives and its global members. In June 2025, Meta Platforms Inc. has decided to make a multibillion-dollar investment into artificial intelligence startup Scale AI. The financing could exceed $10 billion in value which would make it one of the largest private company funding events of all time. In October 2025, it was announced that Meta would be laying off 600 employees in the artificial intelligence unit to perform better and simpler. They referred to their AI unit as "bloated" and are seeking to trim down the department. This mass layoff is going to impact Meta’s AI infrastructure units, Fundamental Artificial Intelligence Research unit (FAIR) and other product-related positions. Mergers and acquisitions Meta has acquired multiple companies (often identified as talent acquisitions). One of its first major acquisitions was in April 2012, when it acquired Instagram for approximately US$1 billion in cash and stock. In October 2013, Facebook, Inc. acquired Onavo, an Israeli mobile web analytics company. In February 2014, Facebook, Inc. announced it would buy mobile messaging company WhatsApp for US$19 billion in cash and stock. The acquisition was completed on October 6. Later that year, Facebook bought Oculus VR for $2.3 billion in cash and stock, which released its first consumer virtual reality headset in 2016. In late November 2019, Facebook, Inc. announced the acquisition of the game developer Beat Games, responsible for developing one of that year's most popular VR games, Beat Saber. In Late 2022, after Facebook Inc rebranded to Meta Platforms Inc, Oculus was rebranded to Meta Quest. In May 2020, Facebook, Inc. announced it had acquired Giphy for a reported cash price of $400 million. It will be integrated with the Instagram team. However, in August 2021, UK's Competition and Markets Authority (CMA) stated that Facebook, Inc. might have to sell Giphy, after an investigation found that the deal between the two companies would harm competition in display advertising market. Facebook, Inc. was fined $70 million by CMA for deliberately failing to report all information regarding the acquisition and the ongoing antitrust investigation. In October 2022, the CMA ruled for a second time that Meta be required to divest Giphy, stating that Meta already controls half of the advertising in the UK. Meta agreed to the sale, though it stated that it disagrees with the decision itself. In May 2023, Giphy was divested to Shutterstock for $53 million. In November 2020, Facebook, Inc. announced that it planned to purchase the customer-service platform and chatbot specialist startup Kustomer to promote companies to use their platform for business. It has been reported that Kustomer valued at slightly over $1 billion. The deal was closed in February 2022 after regulatory approval. In September 2022, Meta acquired Lofelt, a Berlin-based haptic tech startup. In December 2025, it was announced Meta had acquired the AI-wearables startup, Limitless. In the same month, they also acquired another AI startup, Manus AI, for $2 billion. Manus announced in December that its platform had achieved $100mm in recurring revenue just 8 months after its launch and Meta said it will scale the platform to many other businesses. In January 2026, it was announced Meta proposed acquisition of Manus was undergoing preliminary scrutiny by Chinese regulators. The examination concerns the cross-border transfer of artificial intelligence technology developed in China. Lobbying In 2020, Facebook, Inc. spent $19.7 million on lobbying, hiring 79 lobbyists. In 2019, it had spent $16.7 million on lobbying and had a team of 71 lobbyists, up from $12.6 million and 51 lobbyists in 2018. Facebook was the largest spender of lobbying money among the Big Tech companies in 2020. The lobbying team includes top congressional aide John Branscome, who was hired in September 2021, to help the company fend off threats from Democratic lawmakers and the Biden administration. In December 2024, Meta donated $1 million to the inauguration fund for then-President-elect Donald Trump. In 2025, Meta was listed among the donors funding the construction of the White House State Ballroom. Partnerships February 2026, Meta announced a long-term partnership with Nvidia. Censorship In August 2024, Mark Zuckerberg sent a letter to Jim Jordan indicating that during the COVID-19 pandemic the Biden administration repeatedly asked Meta to limit certain COVID-19 content, including humor and satire, on Facebook and Instagram. In 2016 Meta hired Jordana Cutler, formerly an employee at the Israeli Embassy to the United States, as its policy chief for Israel and the Jewish Diaspora. In this role, Cutler pushed for the censorship of accounts belonging to Students for Justice in Palestine chapters in the United States. Critics have said that Cutler's position gives the Israeli government an undue influence over Meta policy, and that few countries have such high levels of contact with Meta policymakers. Following the election of Donald Trump in 2025, various sources noted possible censorship related to the Democratic Party on Instagram and other Meta platforms. In February 2025, a Meta rep flagged journalist Gil Duran's article and other "critiques of tech industry figures" as spam or sensitive content, limiting their reach. In March 2025, Meta attempted to block former employee Sarah Wynn-Williams from promoting or further distributing her memoir, Careless People, that includes allegations of unaddressed sexual harassment in the workplace by senior executives. The New York Times reports that the arbitration is among Meta's most forcible attempts to repudiate a former employee's account of workplace dynamics. Publisher Macmillan reacted to the ruling by the Emergency International Arbitral Tribunal by stating that it will ignore its provisions. As of 15 March 2025[update], hardback and digital versions of Careless People were being offered for sale by major online retailers. From October 2025, Meta began removing and restricting access for accounts related to LGBTQ, reproductive health and abortion information pages on its platforms. Martha Dimitratou, executive director of Repro Uncensored, called Meta's shadow-banning of these issues "One of the biggest waves of censorship we are seeing". Disinformation concerns Since its inception, Meta has been accused of being a host for fake news and misinformation. In the wake of the 2016 United States presidential election, Zuckerberg began to take steps to eliminate the prevalence of fake news, as the platform had been criticized for its potential influence on the outcome of the election. The company initially partnered with ABC News, the Associated Press, FactCheck.org, Snopes and PolitiFact for its fact-checking initiative; as of 2018, it had over 40 fact-checking partners across the world, including The Weekly Standard. A May 2017 review by The Guardian found that the platform's fact-checking initiatives of partnering with third-party fact-checkers and publicly flagging fake news were regularly ineffective, and appeared to be having minimal impact in some cases. In 2018, journalists working as fact-checkers for the company criticized the partnership, stating that it had produced minimal results and that the company had ignored their concerns. In 2024 Meta's decision to continue to disseminate a falsified video of US president Joe Biden, even after it had been proven to be fake, attracted criticism and concern. In January 2025, Meta ended its use of third-party fact-checkers in favor of a user-run community notes system similar to the one used on X. While Zuckerberg supported these changes, saying that the amount of censorship on the platform was excessive, the decision received criticism by fact-checking institutions, stating that the changes would make it more difficult for users to identify misinformation. Meta also faced criticism for weakening its policies on hate speech that were designed to protect minorities and LGBTQ+ individuals from bullying and discrimination. While moving its content review teams from California to Texas, Meta changed their hateful conduct policy to eliminate restrictions on anti-LGBT and anti-immigrant hate speech, as well as explicitly allowing users to accuse LGBT people of being mentally ill or abnormal based on their sexual orientation or gender identity. In January 2025, Meta faced significant criticism for its role in removing LGBTQ+ content from its platforms, amid its broader efforts to address anti-LGBTQ+ hate speech. The removal of LGBTQ+ themes was noted as part of the wider crackdown on content deemed to violate its community guidelines. Meta's content moderation policies, which were designed to combat harmful speech and protect users from discrimination, inadvertently led to the removal or restriction of LGBTQ+ content, particularly posts highlighting LGBTQ+ identities, support, or political issues. According to reports, LGBTQ+ posts, including those that simply celebrated pride or advocated for LGBTQ+ rights, were flagged and removed for reasons that some critics argue were vague or inconsistently applied. Many LGBTQ+ activists and users on Meta's platforms expressed concern that such actions stifled visibility and expression, potentially isolating LGBTQ+ individuals and communities, especially in spaces that were historically important for outreach and support. Lawsuits Numerous lawsuits have been filed against the company, both when it was known as Facebook, Inc., and as Meta Platforms. In March 2020, the Office of the Australian Information Commissioner (OAIC) sued Facebook, for significant and persistent infringements of the rule on privacy involving the Cambridge Analytica fiasco. Every violation of the Privacy Act is subject to a theoretical cumulative liability of $1.7 million. The OAIC estimated that a total of 311,127 Australians had been exposed. On December 8, 2020, the U.S. Federal Trade Commission and 46 states (excluding Alabama, Georgia, South Carolina, and South Dakota), the District of Columbia and the territory of Guam, launched Federal Trade Commission v. Facebook as an antitrust lawsuit against Facebook. The lawsuit concerns Facebook's acquisition of two competitors—Instagram and WhatsApp—and the ensuing monopolistic situation. FTC alleges that Facebook holds monopolistic power in the U.S. social networking market and seeks to force the company to divest from Instagram and WhatsApp to break up the conglomerate. William Kovacic, a former chairman of the Federal Trade Commission, argued the case will be difficult to win as it would require the government to create a counterfactual argument of an internet where the Facebook-WhatsApp-Instagram entity did not exist, and prove that harmed competition or consumers. In November 2025, it was ruled that Meta did not violate antitrust laws and holds no monopoly in the market. On December 24, 2021, a court in Russia fined Meta for $27 million after the company declined to remove unspecified banned content. The fine was reportedly tied to the company's annual revenue in the country. In May 2022, a lawsuit was filed in Kenya against Meta and its local outsourcing company Sama. Allegedly, Meta has poor working conditions in Kenya for workers moderating Facebook posts. According to the lawsuit, 260 screeners were declared redundant with confusing reasoning. The lawsuit seeks financial compensation and an order that outsourced moderators be given the same health benefits and pay scale as Meta employees. In June 2022, 8 lawsuits were filed across the U.S. over the allege that excessive exposure to platforms including Facebook and Instagram has led to attempted or actual suicides, eating disorders and sleeplessness, among other issues. The litigation follows a former Facebook employee's testimony in Congress that the company refused to take responsibility. The company noted that tools have been developed for parents to keep track of their children's activity on Instagram and set time limits, in addition to Meta's "Take a break" reminders. In addition, the company is providing resources specific to eating disorders as well as developing AI to prevent children under the age of 13 signing up for Facebook or Instagram. In June 2022, Meta settled a lawsuit with the US Department of Justice. The lawsuit, which was filed in 2019, alleged that the company enabled housing discrimination through targeted advertising, as it allowed homeowners and landlords to run housing ads excluding people based on sex, race, religion, and other characteristics. The U.S. Department of Justice stated that this was in violation of the Fair Housing Act. Meta was handed a penalty of $115,054 and given until December 31, 2022, to shadow the algorithm tool. In January 2023, Meta was fined €390 million for violations of the European Union General Data Protection Regulation. In May 2023, the European Data Protection Board fined Meta a record €1.2 billion for breaching European Union data privacy laws by transferring personal data of Facebook users to servers in the U.S. In July 2024, Meta agreed to pay the state of Texas US$1.4 billion to settle a lawsuit brought by Texas Attorney General Ken Paxton accusing the company of collecting users' biometric data without consent, setting a record for the largest privacy-related settlement ever obtained by a state attorney general. In October 2024, Meta Platforms faced lawsuits in Japan from 30 plaintiffs who claimed they were defrauded by fake investment ads on Facebook and Instagram, featuring false celebrity endorsements. The plaintiffs are seeking approximately $2.8 million in damages. In April 2025, the Kenyan High Court ruled that a US$2.4 billion lawsuit in which three plaintiffs claim that Facebook inflamed civil violence in Ethiopia in 2021 could proceed. In April 2025, Meta was fined €200 million ($230 million) for breaking the Digital Markets Act, by imposing a “consent or pay” system that forces users to either allow their personal data to be used to target advertisements, or pay a subscription fee for advertising-free versions of Facebook and Instagram. In late April 2025, a case was filed against Meta in Ghana over the alleged psychological distress experienced by content moderators employed to take down disturbing social media content including depictions of murders, extreme violence and child sexual abuse. Meta moved the moderation service to the Ghanaian capital of Accra after legal issues in the previous location Kenya. The new moderation company is Teleperformance, a multinational corporation with a history of worker's rights violation. Reports suggests the conditions are worse here than in the previous Kenyan location, with many workers afraid of speaking out due to fear of returning to conflict zones. Workers reported developing mental illnesses, attempted suicides, and low pay. In 26 January 2026, a New Mexico state court case was filed, suggesting that Mark Zuckerberg approved allowing minors to access artificial intelligence chatbot companions that safety staffers warned were capable of sexual interactions. In 2020, the company UReputation, which had been involved in several cases concerning the management of digital armies[clarification needed], filed a lawsuit against Facebook, accusing it of unlawfully transmitting personal data to third parties. Legal actions were initiated in Tunisia, France, and the United States. In 2025, the United States District court for the Northern District of Georgia approved a discovery procedure, allowing UReputation to access documents and evidence held by Meta. Structure Meta's key management consists of: As of October 2022[update], Meta had 83,553 employees worldwide. As of June 2024[update], Meta's board consisted of the following directors; Meta Platforms is mainly owned by institutional investors, who hold around 80% of all shares. Insiders control the majority of voting shares. The three largest individual investors in 2024 were Mark Zuckerberg, Sheryl Sandberg and Christopher K. Cox. The largest shareholders in late 2024/early 2025 were: Roger McNamee, an early Facebook investor and Zuckerberg's former mentor, said Facebook had "the most centralized decision-making structure I have ever encountered in a large company". Facebook co-founder Chris Hughes has stated that chief executive officer Mark Zuckerberg has too much power, that the company is now a monopoly, and that, as a result, it should be split into multiple smaller companies. In an op-ed in The New York Times, Hughes said he was concerned that Zuckerberg had surrounded himself with a team that did not challenge him, and that it is the U.S. government's job to hold him accountable and curb his "unchecked power". He also said that "Mark's power is unprecedented and un-American." Several U.S. politicians agreed with Hughes. European Union Commissioner for Competition Margrethe Vestager stated that splitting Facebook should be done only as "a remedy of the very last resort", and that it would not solve Facebook's underlying problems. Revenue Facebook ranked No. 34 in the 2020 Fortune 500 list of the largest United States corporations by revenue, with almost $86 billion in revenue most of it coming from advertising. One analysis of 2017 data determined that the company earned US$20.21 per user from advertising. According to New York, since its rebranding, Meta has reportedly lost $500 billion as a result of new privacy measures put in place by companies such as Apple and Google which prevents Meta from gathering users' data. In February 2015, Facebook announced it had reached two million active advertisers, with most of the gain coming from small businesses. An active advertiser was defined as an entity that had advertised on the Facebook platform in the last 28 days. In March 2016, Facebook announced it had reached three million active advertisers with more than 70% from outside the United States. Prices for advertising follow a variable pricing model based on auctioning ad placements, and potential engagement levels of the advertisement itself. Similar to other online advertising platforms like Google and Twitter, targeting of advertisements is one of the chief merits of digital advertising compared to traditional media. Marketing on Meta is employed through two methods based on the viewing habits, likes and shares, and purchasing data of the audience, namely targeted audiences and "look alike" audiences. The U.S. IRS challenged the valuation Facebook used when it transferred IP from the U.S. to Facebook Ireland (now Meta Platforms Ireland) in 2010 (which Facebook Ireland then revalued higher before charging out), as it was building its double Irish tax structure. The case is ongoing and Meta faces a potential fine of $3–5bn. The U.S. Tax Cuts and Jobs Act of 2017 changed Facebook's global tax calculations. Meta Platforms Ireland is subject to the U.S. GILTI tax of 10.5% on global intangible profits (i.e. Irish profits). On the basis that Meta Platforms Ireland Limited is paying some tax, the effective minimum US tax for Facebook Ireland will be circa 11%. In contrast, Meta Platforms Inc. would incur a special IP tax rate of 13.125% (the FDII rate) if its Irish business relocated to the U.S. Tax relief in the U.S. (21% vs. Irish at the GILTI rate) and accelerated capital expensing, would make this effective U.S. rate around 12%. The insignificance of the U.S./Irish tax difference was demonstrated when Facebook moved 1.5bn non-EU accounts to the U.S. to limit exposure to GDPR. Facilities Users outside of the U.S. and Canada contract with Meta's Irish subsidiary, Meta Platforms Ireland Limited (formerly Facebook Ireland Limited), allowing Meta to avoid US taxes for all users in Europe, Asia, Australia, Africa and South America. Meta is making use of the Double Irish arrangement which allows it to pay 2–3% corporation tax on all international revenue. In 2010, Facebook opened its fourth office, in Hyderabad, India, which houses online advertising and developer support teams and provides support to users and advertisers. In India, Meta is registered as Facebook India Online Services Pvt Ltd. It also has offices or planned sites in Chittagong, Bangladesh; Dublin, Ireland; and Austin, Texas, among other cities. Facebook opened its London headquarters in 2017 in Fitzrovia in central London. Facebook opened an office in Cambridge, Massachusetts in 2018. The offices were initially home to the "Connectivity Lab", a group focused on bringing Internet access to those who do not have access to the Internet. In April 2019, Facebook opened its Taiwan headquarters in Taipei. In March 2022, Meta opened new regional headquarters in Dubai. In September 2023, it was reported that Meta had paid £149m to British Land to break the lease on Triton Square London office. Meta reportedly had another 18 years left on its lease on the site. As of 2023, Facebook operated 21 data centers. It committed to purchase 100% renewable energy and to reduce its greenhouse gas emissions 75% by 2020. Its data center technologies include Fabric Aggregator, a distributed network system that accommodates larger regions and varied traffic patterns. Reception US Representative Alexandria Ocasio-Cortez responded in a tweet to Zuckerberg's announcement about Meta, saying: "Meta as in 'we are a cancer to democracy metastasizing into a global surveillance and propaganda machine for boosting authoritarian regimes and destroying civil society ... for profit!'" Ex-Facebook employee Frances Haugen and whistleblower behind the Facebook Papers responded to the rebranding efforts by expressing doubts about the company's ability to improve while led by Mark Zuckerberg, and urged the chief executive officer to resign. In November 2021, a video published by Inspired by Iceland went viral, in which a Zuckerberg look-alike promoted the Icelandverse, a place of "enhanced actual reality without silly looking headsets". In a December 2021 interview, SpaceX and Tesla chief executive officer Elon Musk said he could not see a compelling use-case for the VR-driven metaverse, adding: "I don't see someone strapping a frigging screen to their face all day." In January 2022, Louise Eccles of The Sunday Times logged into the metaverse with the intention of making a video guide. She wrote: Initially, my experience with the Oculus went well. I attended work meetings as an avatar and tried an exercise class set in the streets of Paris. The headset enabled me to feel the thrill of carving down mountains on a snowboard and the adrenaline rush of climbing a mountain without ropes. Yet switching to the social apps, where you mingle with strangers also using VR headsets, it was at times predatory and vile. Eccles described being sexually harassed by another user, as well as "accents from all over the world, American, Indian, English, Australian, using racist, sexist, homophobic and transphobic language". She also encountered users as young as 7 years old on the platform, despite Oculus headsets being intended for users over 13. See also References External links 37°29′06″N 122°08′54″W / 37.48500°N 122.14833°W / 37.48500; -122.14833 |
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Contents Social network 1800s: Martineau · Tocqueville · Marx · Spencer · Le Bon · Ward · Pareto · Tönnies · Veblen · Simmel · Durkheim · Addams · Mead · Weber · Du Bois · Mannheim · Elias A social network is a social structure consisting of a set of social actors (such as individuals or organizations), networks of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities along with a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine dynamics of networks. For instance, social network analysis has been used in studying the spread of misinformation on social media platforms or analyzing the influence of key figures in social networks. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s. Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science. Overview The social network is a theoretical construct useful in the social sciences to study relationships between individuals, groups, organizations, or even entire societies (social units, see differentiation). The term is used to describe a social structure determined by such interactions. The ties through which any given social unit connects represent the convergence of the various social contacts of that unit. This theoretical approach is, necessarily, relational. An axiom of the social network approach to understanding social interaction is that social phenomena should be primarily conceived and investigated through the properties of relations between and within units, instead of the properties of these units themselves. Thus, one common criticism of social network theory is that individual agency is often ignored although this may not be the case in practice (see agent-based modeling). Precisely because many different types of relations, singular or in combination, form these network configurations, network analytics are useful to a broad range of research enterprises. In social science, these fields of study include, but are not limited to anthropology, biology, communication studies, economics, geography, information science, organizational studies, social psychology, sociology, and sociolinguistics. History In the late 1890s, both Émile Durkheim and Ferdinand Tönnies foreshadowed the idea of social networks in their theories and research of social groups. Tönnies argued that social groups can exist as personal and direct social ties that either link individuals who share values and belief (Gemeinschaft, German, commonly translated as "community") or impersonal, formal, and instrumental social links (Gesellschaft, German, commonly translated as "society"). Durkheim gave a non-individualistic explanation of social facts, arguing that social phenomena arise when interacting individuals constitute a reality that can no longer be accounted for in terms of the properties of individual actors. Georg Simmel, writing at the turn of the twentieth century, pointed to the nature of networks and the effect of network size on interaction and examined the likelihood of interaction in loosely knit networks rather than groups. Major developments in the field can be seen in the 1930s by several groups in psychology, anthropology, and mathematics working independently. In psychology, in the 1930s, Jacob L. Moreno began systematic recording and analysis of social interaction in small groups, especially classrooms and work groups (see sociometry). In anthropology, the foundation for social network theory is the theoretical and ethnographic work of Bronislaw Malinowski, Alfred Radcliffe-Brown, and Claude Lévi-Strauss. A group of social anthropologists associated with Max Gluckman and the Manchester School, including John A. Barnes, J. Clyde Mitchell and Elizabeth Bott Spillius, often are credited with performing some of the first fieldwork from which network analyses were performed, investigating community networks in southern Africa, India and the United Kingdom. Concomitantly, British anthropologist S. F. Nadel codified a theory of social structure that was influential in later network analysis. In sociology, the early (1930s) work of Talcott Parsons set the stage for taking a relational approach to understanding social structure. Later, drawing upon Parsons' theory, the work of sociologist Peter Blau provides a strong impetus for analyzing the relational ties of social units with his work on social exchange theory. By the 1970s, a growing number of scholars worked to combine the different tracks and traditions. One group consisted of sociologist Harrison White and his students at the Harvard University Department of Social Relations. Also independently active in the Harvard Social Relations department at the time were Charles Tilly, who focused on networks in political and community sociology and social movements, and Stanley Milgram, who developed the "six degrees of separation" thesis. Mark Granovetter and Barry Wellman are among the former students of White who elaborated and championed the analysis of social networks. Beginning in the late 1990s, social network analysis experienced work by sociologists, political scientists, and physicists such as Duncan J. Watts, Albert-László Barabási, Peter Bearman, Nicholas A. Christakis, James H. Fowler, and others, developing and applying new models and methods to emerging data available about online social networks, as well as "digital traces" regarding face-to-face networks. Levels of analysis In general, social networks are self-organizing, emergent, and complex, such that a globally coherent pattern appears from the local interaction of the elements that make up the system. These patterns become more apparent as network size increases. However, a global network analysis of, for example, all interpersonal relationships in the world is not feasible and is likely to contain so much information as to be uninformative. Practical limitations of computing power, ethics and participant recruitment and payment also limit the scope of a social network analysis. The nuances of a local system may be lost in a large network analysis, hence the quality of information may be more important than its scale for understanding network properties. Thus, social networks are analyzed at the scale relevant to the researcher's theoretical question. Although levels of analysis are not necessarily mutually exclusive, there are three general levels into which networks may fall: micro-level, meso-level, and macro-level. At the micro-level, social network research typically begins with an individual, snowballing as social relationships are traced, or may begin with a small group of individuals in a particular social context. Dyadic level: A dyad is a social relationship between two individuals. Network research on dyads may concentrate on structure of the relationship (e.g. multiplexity, strength), social equality, and tendencies toward reciprocity/mutuality. Triadic level: Add one individual to a dyad, and you have a triad. Research at this level may concentrate on factors such as balance and transitivity, as well as social equality and tendencies toward reciprocity/mutuality. In the balance theory of Fritz Heider the triad is the key to social dynamics. The discord in a rivalrous love triangle is an example of an unbalanced triad, likely to change to a balanced triad by a change in one of the relations. The dynamics of social friendships in society has been modeled by balancing triads. The study is carried forward with the theory of signed graphs. Actor level: The smallest unit of analysis in a social network is an individual in their social setting, i.e., an "actor" or "ego." Egonetwork analysis focuses on network characteristics, such as size, relationship strength, density, centrality, prestige and roles such as isolates, liaisons, and bridges. Such analyses, are most commonly used in the fields of psychology or social psychology, ethnographic kinship analysis or other genealogical studies of relationships between individuals. Subset level: Subset levels of network research problems begin at the micro-level, but may cross over into the meso-level of analysis. Subset level research may focus on distance and reachability, cliques, cohesive subgroups, or other group actions or behavior. In general, meso-level theories begin with a population size that falls between the micro- and macro-levels. However, meso-level may also refer to analyses that are specifically designed to reveal connections between micro- and macro-levels. Meso-level networks are low density and may exhibit causal processes distinct from interpersonal micro-level networks. Organizations: Formal organizations are social groups that distribute tasks for a collective goal. Network research on organizations may focus on either intra-organizational or inter-organizational ties in terms of formal or informal relationships. Intra-organizational networks themselves often contain multiple levels of analysis, especially in larger organizations with multiple branches, franchises or semi-autonomous departments. In these cases, research is often conducted at a work group level and organization level, focusing on the interplay between the two structures. Experiments with networked groups online have documented ways to optimize group-level coordination through diverse interventions, including the addition of autonomous agents to the groups. Randomly distributed networks: Exponential random graph models of social networks became state-of-the-art methods of social network analysis in the 1980s. This framework has the capacity to represent social-structural effects commonly observed in many human social networks, including general degree-based structural effects commonly observed in many human social networks as well as reciprocity and transitivity, and at the node-level, homophily and attribute-based activity and popularity effects, as derived from explicit hypotheses about dependencies among network ties. Parameters are given in terms of the prevalence of small subgraph configurations in the network and can be interpreted as describing the combinations of local social processes from which a given network emerges. These probability models for networks on a given set of actors allow generalization beyond the restrictive dyadic independence assumption of micro-networks, allowing models to be built from theoretical structural foundations of social behavior. Scale-free networks: A scale-free network is a network whose degree distribution follows a power law, at least asymptotically. In network theory a scale-free ideal network is a random network with a degree distribution that unravels the size distribution of social groups. Specific characteristics of scale-free networks vary with the theories and analytical tools used to create them, however, in general, scale-free networks have some common characteristics. One notable characteristic in a scale-free network is the relative commonness of vertices with a degree that greatly exceeds the average. The highest-degree nodes are often called "hubs", and may serve specific purposes in their networks, although this depends greatly on the social context. Another general characteristic of scale-free networks is the clustering coefficient distribution, which decreases as the node degree increases. This distribution also follows a power law. The Barabási model of network evolution shown above is an example of a scale-free network. Rather than tracing interpersonal interactions, macro-level analyses generally trace the outcomes of interactions, such as economic or other resource transfer interactions over a large population. Large-scale networks: Large-scale network is a term somewhat synonymous with "macro-level." It is primarily used in social and behavioral sciences, and in economics. Originally, the term was used extensively in the computer sciences (see large-scale network mapping). Complex networks: Most larger social networks display features of social complexity, which involves substantial non-trivial features of network topology, with patterns of complex connections between elements that are neither purely regular nor purely random (see, complexity science, dynamical system and chaos theory), as do biological, and technological networks. Such complex network features include a heavy tail in the degree distribution, a high clustering coefficient, assortativity or disassortativity among vertices, community structure (see stochastic block model), and hierarchical structure. In the case of agency-directed networks these features also include reciprocity, triad significance profile (TSP, see network motif), and other features. In contrast, many of the mathematical models of networks that have been studied in the past, such as lattices and random graphs, do not show these features. Theoretical links Various theoretical frameworks have been imported for the use of social network analysis. The most prominent of these are Graph theory, Balance theory, Social comparison theory, and more recently, the Social identity approach. Few complete theories have been produced from social network analysis. Two that have are structural role theory and heterophily theory. The basis of Heterophily Theory was the finding in one study that more numerous weak ties can be important in seeking information and innovation, as cliques have a tendency to have more homogeneous opinions as well as share many common traits. This homophilic tendency was the reason for the members of the cliques to be attracted together in the first place. However, being similar, each member of the clique would also know more or less what the other members knew. To find new information or insights, members of the clique will have to look beyond the clique to its other friends and acquaintances. This is what Granovetter called "the strength of weak ties". Structural holes In the context of networks, social capital exists where people have an advantage because of their location in a network. Contacts in a network provide information, opportunities and perspectives that can be beneficial to the central player in the network. Most social structures tend to be characterized by dense clusters of strong connections. Information within these clusters tends to be rather homogeneous and redundant. Non-redundant information is most often obtained through contacts in different clusters. When two separate clusters possess non-redundant information, there is said to be a structural hole between them. Thus, a network that bridges structural holes will provide network benefits that are in some degree additive, rather than overlapping. An ideal network structure has a vine and cluster structure, providing access to many different clusters and structural holes. Networks rich in structural holes are a form of social capital in that they offer information benefits. The main player in a network that bridges structural holes is able to access information from diverse sources and clusters. For example, in business networks, this is beneficial to an individual's career because he is more likely to hear of job openings and opportunities if his network spans a wide range of contacts in different industries/sectors. This concept is similar to Mark Granovetter's theory of weak ties, which rests on the basis that having a broad range of contacts is most effective for job attainment. Structural holes have been widely applied in social network analysis, resulting in applications in a wide range of practical scenarios as well as machine learning-based social prediction. Research clusters Research has used network analysis to examine networks created when artists are exhibited together in museum exhibition. Such networks have been shown to affect an artist's recognition in history and historical narratives, even when controlling for individual accomplishments of the artist. Other work examines how network grouping of artists can affect an individual artist's auction performance. An artist's status has been shown to increase when associated with higher status networks, though this association has diminishing returns over an artist's career. In J.A. Barnes' day, a "community" referred to a specific geographic location and studies of community ties had to do with who talked, associated, traded, and attended church with whom. Today, however, there are extended "online" communities developed through telecommunications devices and social network services. Such devices and services require extensive and ongoing maintenance and analysis, often using network science methods. Community development studies, today, also make extensive use of such methods. Complex networks require methods specific to modelling and interpreting social complexity and complex adaptive systems, including techniques of dynamic network analysis. Mechanisms such as Dual-phase evolution explain how temporal changes in connectivity contribute to the formation of structure in social networks. The study of social networks is being used to examine the nature of interdependencies between actors and the ways in which these are related to outcomes of conflict and cooperation. Areas of study include cooperative behavior among participants in collective actions such as protests; promotion of peaceful behavior, social norms, and public goods within communities through networks of informal governance; the role of social networks in both intrastate conflict and interstate conflict; and social networking among politicians, constituents, and bureaucrats. In criminology and urban sociology, much attention has been paid to the social networks among criminal actors. For example, murders can be seen as a series of exchanges between gangs. Murders can be seen to diffuse outwards from a single source, because weaker gangs cannot afford to kill members of stronger gangs in retaliation, but must commit other violent acts to maintain their reputation for strength. Diffusion of ideas and innovations studies focus on the spread and use of ideas from one actor to another or one culture and another. This line of research seeks to explain why some become "early adopters" of ideas and innovations, and links social network structure with facilitating or impeding the spread of an innovation. A case in point is the social diffusion of linguistic innovation such as neologisms. Experiments and large-scale field trials (e.g., by Nicholas Christakis and collaborators) have shown that cascades of desirable behaviors can be induced in social groups, in settings as diverse as Honduras villages, Indian slums, or in the lab. Still other experiments have documented the experimental induction of social contagion of voting behavior, emotions, risk perception, and commercial products. In demography, the study of social networks has led to new sampling methods for estimating and reaching populations that are hard to enumerate (for example, homeless people or intravenous drug users.) For example, respondent driven sampling is a network-based sampling technique that relies on respondents to a survey recommending further respondents. The field of sociology focuses almost entirely on networks of outcomes of social interactions. More narrowly, economic sociology considers behavioral interactions of individuals and groups through social capital and social "markets". Sociologists, such as Mark Granovetter, have developed core principles about the interactions of social structure, information, ability to punish or reward, and trust that frequently recur in their analyses of political, economic and other institutions. Granovetter examines how social structures and social networks can affect economic outcomes like hiring, price, productivity and innovation and describes sociologists' contributions to analyzing the impact of social structure and networks on the economy. Analysis of social networks is increasingly incorporated into health care analytics, not only in epidemiological studies but also in models of patient communication and education, disease prevention, mental health diagnosis and treatment, and in the study of health care organizations and systems. Human ecology is an interdisciplinary and transdisciplinary study of the relationship between humans and their natural, social, and built environments. The scientific philosophy of human ecology has a diffuse history with connections to geography, sociology, psychology, anthropology, zoology, and natural ecology. In the study of literary systems, network analysis has been applied by Anheier, Gerhards and Romo, De Nooy, Senekal, and Lotker, to study various aspects of how literature functions. The basic premise is that polysystem theory, which has been around since the writings of Even-Zohar, can be integrated with network theory and the relationships between different actors in the literary network, e.g. writers, critics, publishers, literary histories, etc., can be mapped using visualization from SNA. Research studies of formal or informal organization relationships, organizational communication, economics, economic sociology, and other resource transfers. Social networks have also been used to examine how organizations interact with each other, characterizing the many informal connections that link executives together, as well as associations and connections between individual employees at different organizations. Many organizational social network studies focus on teams. Within team network studies, research assesses, for example, the predictors and outcomes of centrality and power, density and centralization of team instrumental and expressive ties, and the role of between-team networks. Intra-organizational networks have been found to affect organizational commitment, organizational identification, interpersonal citizenship behaviour. Social capital is a form of economic and cultural capital in which social networks are central, transactions are marked by reciprocity, trust, and cooperation, and market agents produce goods and services not mainly for themselves, but for a common good. Social capital is split into three dimensions: the structural, the relational and the cognitive dimension. The structural dimension describes how partners interact with each other and which specific partners meet in a social network. Also, the structural dimension of social capital indicates the level of ties among organizations. This dimension is highly connected to the relational dimension which refers to trustworthiness, norms, expectations and identifications of the bonds between partners. The relational dimension explains the nature of these ties which is mainly illustrated by the level of trust accorded to the network of organizations. The cognitive dimension analyses the extent to which organizations share common goals and objectives as a result of their ties and interactions. Social capital is a sociological concept about the value of social relations and the role of cooperation and confidence to achieve positive outcomes. The term refers to the value one can get from their social ties. For example, newly arrived immigrants can make use of their social ties to established migrants to acquire jobs they may otherwise have trouble getting (e.g., because of unfamiliarity with the local language). A positive relationship exists between social capital and the intensity of social network use. In a dynamic framework, higher activity in a network feeds into higher social capital which itself encourages more activity. This particular cluster focuses on brand-image and promotional strategy effectiveness, taking into account the impact of customer participation on sales and brand-image. This is gauged through techniques such as sentiment analysis which rely on mathematical areas of study such as data mining and analytics. This area of research produces vast numbers of commercial applications as the main goal of any study is to understand consumer behaviour and drive sales. In many organizations, members tend to focus their activities inside their own groups, which stifles creativity and restricts opportunities. A player whose network bridges structural holes has an advantage in detecting and developing rewarding opportunities. Such a player can mobilize social capital by acting as a "broker" of information between two clusters that otherwise would not have been in contact, thus providing access to new ideas, opinions and opportunities. British philosopher and political economist John Stuart Mill, writes, "it is hardly possible to overrate the value of placing human beings in contact with persons dissimilar to themselves.... Such communication [is] one of the primary sources of progress." Thus, a player with a network rich in structural holes can add value to an organization through new ideas and opportunities. This in turn, helps an individual's career development and advancement. A social capital broker also reaps control benefits of being the facilitator of information flow between contacts. Full communication with exploratory mindsets and information exchange generated by dynamically alternating positions in a social network promotes creative and deep thinking. In the case of consulting firm Eden McCallum, the founders were able to advance their careers by bridging their connections with former big three consulting firm consultants and mid-size industry firms. By bridging structural holes and mobilizing social capital, players can advance their careers by executing new opportunities between contacts. There has been research that both substantiates and refutes the benefits of information brokerage. A study of high tech Chinese firms by Zhixing Xiao found that the control benefits of structural holes are "dissonant to the dominant firm-wide spirit of cooperation and the information benefits cannot materialize due to the communal sharing values" of such organizations. However, this study only analyzed Chinese firms, which tend to have strong communal sharing values. Information and control benefits of structural holes are still valuable in firms that are not quite as inclusive and cooperative on the firm-wide level. In 2004, Ronald Burt studied 673 managers who ran the supply chain for one of America's largest electronics companies. He found that managers who often discussed issues with other groups were better paid, received more positive job evaluations and were more likely to be promoted. Thus, bridging structural holes can be beneficial to an organization, and in turn, to an individual's career. Computer networks combined with social networking software produce a new medium for social interaction. A relationship over a computerized social networking service can be characterized by context, direction, and strength. The content of a relation refers to the resource that is exchanged. In a computer-mediated communication context, social pairs exchange different kinds of information, including sending a data file or a computer program as well as providing emotional support or arranging a meeting. With the rise of electronic commerce, information exchanged may also correspond to exchanges of money, goods or services in the "real" world. Social network analysis methods have become essential to examining these types of computer mediated communication. In addition, the sheer size and the volatile nature of social media has given rise to new network metrics. A key concern with networks extracted from social media is the lack of robustness of network metrics given missing data. Based on the pattern of homophily, ties between people are most likely to occur between nodes that are most similar to each other, or within neighbourhood segregation, individuals are most likely to inhabit the same regional areas as other individuals who are like them. Therefore, social networks can be used as a tool to measure the degree of segregation or homophily within a social network. Social Networks can both be used to simulate the process of homophily but it can also serve as a measure of level of exposure of different groups to each other within a current social network of individuals in a certain area. See also References Further reading External links |
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Contents Colocation centre A colocation centre (also spelled co-location, or shortened to colo) or "carrier hotel", is a type of data centre where equipment, space, and bandwidth are available for rental to retail customers. Colocation facilities provide space, power, cooling, and physical security for the server, storage, and networking equipment of other firms and also connect them to a variety of telecommunications and network service providers with a minimum of cost and complexity. The term "carrier hotel" can refer to a data centre focused on connecting customer and carrier networks together. Colocation centres often host private peering connections between their customers, internet transit providers, cloud providers, meet-me rooms for connecting customers together Internet exchange points, and landing points and terminal equipment for fibre optic submarine communication cables, connecting the internet, for example at the network access point known as NAP of the Americas, which connects many Latin American ISPs with networks in the US. Configuration Many colocation providers sell to a wide range of customers, ranging from large enterprises to small companies. Typically, the customer owns the information technology (IT) equipment and the facility provides power and cooling. Customers retain control over the design and usage of their equipment, but daily management of the data centre and facility are overseen by the multi-tenant colocation provider. They may also have a network operations centre (NOC), a help desk, and offices for customer employees, and they may offer remote hands or smart hands service in which on site technicians employed by the colocation provider are allowed to access customer equipment on request to solve customer issues. Some providers also provide roof access to customers for mounting wireless equipment. Building features Buildings with data centres inside them are often easy to recognise by the amount of cooling equipment located outside or on the roof. Colocation facilities have many other special characteristics: Colocation data centres are often audited to prove that they attain certain standards and levels of reliability; the most commonly seen systems are SSAE 16 SOC 1 Type I and Type II (formerly SAS 70 Type I and Type II) and the tier system by the Uptime Institute or TIA. For service organisations today, SSAE 16 calls for a description of its "system". This is far more detailed and comprehensive than SAS 70's description of "controls". Other data centre compliance standards include Health Insurance Portability and Accountability Act (HIPAA) audit and PCI DSS Standards. Power Colocation facilities generally have generators that start automatically when utility power fails, usually running on diesel fuel. These generators may have varying levels of redundancy, depending on how the facility is built. Generators do not start instantaneously, so colocation facilities usually have battery backup systems. In many facilities, the operator of the facility provides large inverters to provide AC power from the batteries. In other cases, customers may install smaller UPSes in their racks. Some customers choose to use equipment that is powered directly by 48 VDC (nominal) battery banks. This may provide better energy efficiency, and may reduce the number of parts that can fail, though the reduced voltage greatly increases necessary current, and thus the size (and cost) of power delivery wiring. An alternative to batteries is a motor–generator connected to a flywheel and diesel engine. Many colocation facilities can provide redundant, A and B power feeds to customer equipment, and high end servers and telecommunications equipment often can have two power supplies installed. Colocation facilities are sometimes connected to multiple sections of the utility power grid for additional reliability. Internal connections Colocation facility owners have differing rules regarding cross-connects between their customers, some of whom may be carriers. These rules may allow customers to run such connections at no charge, or allow customers to order such connections for a monthly fee. They may allow customers to order cross-connects to carriers, but not to other customers. Some colocation centres feature a "meet-me-room" where the different carriers housed in the centre can efficiently exchange data. Most peering points sit in colocation centres and because of the high concentration of servers inside larger colocation centres, most carriers will be interested in bringing direct connections to such buildings. In many cases, there will be a larger Internet exchange point hosted inside a colocation centre, where customers can connect for peering. See also References External links |
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[SOURCE: https://en.wikipedia.org/wiki/Single_instruction,_multiple_data] | [TOKENS: 3518] |
Contents Single instruction, multiple data Single instruction, multiple data (SIMD) is a type of parallel computing (processing) in Flynn's taxonomy. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously. SIMD can be internal (part of the hardware design) and it can be directly accessible through an instruction set architecture (ISA), but it should not be confused with an ISA. Such machines exploit data level parallelism, but not concurrency: there are simultaneous (parallel) computations, but each unit performs exactly the same instruction at any given moment (just with different data). A simple example is to add many pairs of numbers together, all of the SIMD units are performing an addition, but each one has different pairs of values to add. SIMD is especially applicable to common tasks such as adjusting the contrast in a digital image or adjusting the volume of digital audio. Most modern central processing unit (CPU) designs include SIMD instructions to improve the performance of multimedia use. In recent CPUs, SIMD units are tightly coupled with cache hierarchies and prefetch mechanisms, which minimize latency during large block operations. For instance, AVX-512-enabled processors can prefetch entire cache lines and apply fused multiply-add operations (FMA) in a single SIMD cycle. Confusion between SIMT and SIMD SIMD has three different subcategories in Flynn's 1972 Taxonomy, one of which is single instruction, multiple threads (SIMT). SIMT should not be confused with software threads or hardware threads, both of which are task time-sharing (time-slicing). SIMT is true simultaneous parallel hardware-level execution, such as in the ILLIAC IV. SIMD should not be confused with Vector processing, characterized by the Cray 1 and clarified in Duncan's taxonomy. The difference between SIMD and vector processors is primarily the presence of a Cray-style SET VECTOR LENGTH instruction. History The first known operational use to date of SIMD within a register was the TX-2, in 1958. It was capable of 36-bit operations and two 18-bit or four 9-bit sub-word operations. The first commercial use of SIMD instructions was in the ILLIAC IV, which was completed in 1972. Vector supercomputers of the early 1970s such as the CDC Star-100 and the Texas Instruments ASC could operate on a "vector" of data with a single instruction. Vector processing was especially popularized by Cray in the 1970s and 1980s. Vector processing architectures are now considered separate from SIMD computers: Duncan's Taxonomy includes them whereas Flynn's Taxonomy does not, due to Flynn's work (1966, 1972) pre-dating the Cray-1 (1977). The complexity of Vector processors however inspired a simpler arrangement known as SIMD within a register. The first era of modern SIMD computers was characterized by massively parallel processing-style supercomputers such as the Thinking Machines Connection Machine CM-1 and CM-2. These computers had many limited-functionality processors that would work in parallel. For example, each of 65,536 single-bit processors in a Thinking Machines CM-2 would execute the same instruction at the same time, allowing, for instance, to logically combine 65,536 pairs of bits at a time, using a hypercube-connected network or processor-dedicated RAM to find its operands. Supercomputing moved away from the SIMD approach when inexpensive scalar multiple instruction, multiple data (MIMD) approaches based on commodity processors such as the Intel i860 XP became more powerful, and interest in SIMD waned. The current era of SIMD processors grew out of the desktop-computer market rather than the supercomputer market. As desktop processors became powerful enough to support real-time gaming and audio/video processing during the 1990s, demand grew for this type of computing power, and microprocessor vendors turned to SIMD to meet the demand. This resurgence also coincided with the rise of DirectX and OpenGL shader models, which heavily leveraged SIMD under the hood. The graphics APIs encouraged programmers to adopt data-parallel programming styles, indirectly accelerating SIMD adoption in desktop software. Hewlett-Packard introduced Multimedia Acceleration eXtensions (MAX) instructions into PA-RISC 1.1 desktops in 1994 to accelerate MPEG decoding. Sun Microsystems introduced SIMD integer instructions in its "VIS" instruction set extensions in 1995, in its UltraSPARC I microprocessor. MIPS followed suit with their similar MDMX system. The first widely deployed desktop SIMD was with Intel's MMX extensions to the x86 architecture in 1996. This sparked the introduction of the much more powerful AltiVec system in the Motorola PowerPC and IBM's POWER systems. Intel responded in 1999 by introducing the all-new SSE system. Since then, there have been several extensions to the SIMD instruction sets for both architectures. Advanced vector extensions AVX, AVX2 and AVX-512 are developed by Intel. AMD supports AVX, AVX2, and AVX-512 in their current products. Disadvantages With SIMD, an order of magnitude increase in code size is not uncommon, when compared to equivalent scalar or equivalent vector code, and an order of magnitude or greater effectiveness (work done per instruction) is achievable with Vector ISAs. ARM's Scalable Vector Extension takes another approach, known in Flynn's Taxonomy more commonly known today as "Predicated" (masked) SIMD. This approach is not as compact as vector processing but is still far better than non-predicated SIMD. Detailed comparative examples are given at Vector processor § Vector instruction example. Chronology Hardware Small-scale (64 or 128 bits) SIMD became popular on general-purpose CPUs in the early 1990s and continued through 1997 and later with Motion Video Instructions (MVI) for Alpha. SIMD instructions can be found, to one degree or another, on most CPUs, including IBM's AltiVec and Signal Processing Engine (SPE) for PowerPC, Hewlett-Packard's (HP) PA-RISC Multimedia Acceleration eXtensions (MAX), Intel's MMX and iwMMXt, Streaming SIMD Extensions (SSE), SSE2, SSE3 SSSE3 and SSE4.x, AMD's 3DNow!, ARC's ARC Video subsystem, SPARC's VIS and VIS2, Sun's MAJC, ARM's Neon technology, MIPS' MDMX (MaDMaX) and MIPS-3D. Intel's AVX-512 SIMD instructions process 512 bits of data at once. The IBM, Sony, Toshiba co-developed Cell processor's Synergistic Processing Element's (SPE's) instruction set is heavily SIMD based. Some, but not all, GPUs are SIMD-based. AMD GPUs since the TeraScale (microarchitecture) are SIMD-based, a feature that has remained in the 2020s microartectures RDNA and CDNA, with a layer of single instruction, multiple threads (SIMT) above. On the other hand, Nvidia's CUDA architectures use scalar cores with SIMT. Philips, now NXP, developed several SIMD processors named Xetal. The Xetal has 320 16-bit processor elements especially designed for vision tasks. Apple's M1 and M2 chips also incorporate SIMD units deeply integrated with their GPU and Neural Engine, using Apple-designed SIMD pipelines optimized for image filtering, convolution, and matrix multiplication. This unified memory architecture helps SIMD instructions operate on shared memory pools more efficiently. (The CPU part implements ordinary NEON). Software SIMD instructions are widely used to process 3D graphics, although modern graphics cards with embedded SIMD have largely taken over this task from the CPU. Some systems also include permute functions that re-pack elements inside vectors, making them especially useful for data processing and compression. They are also used in cryptography. The trend of general-purpose computing on GPUs (GPGPU) may lead to wider use of SIMD in the future. Recent compilers such as LLVM, GNU Compiler Collection (GCC), and Intel's ICC offer aggressive auto-vectoring options. Developers can often enable these with flags like -O3 or -ftree-vectorize, which guide the compiler to restructure loops for SIMD compatibility. Adoption of SIMD systems in personal computer software was at first slow, due to a number of problems. One was that many of the early SIMD instruction sets tended to slow overall performance of the system due to the re-use of existing floating point registers. Other systems, like MMX and 3DNow!, offered support for data types that were not interesting to a wide audience and had expensive context switching instructions to switch between using the FPU and MMX registers. Compilers also often lacked support, requiring programmers to resort to assembly language coding. SIMD on x86 had a slow start. The introduction of 3DNow! by AMD and SSE by Intel confused matters somewhat, but today the system seems to have settled down (after AMD adopted SSE) and newer compilers should result in more SIMD-enabled software. Intel and AMD now both provide optimized math libraries that use SIMD instructions, and open source alternatives like libSIMD, SIMDx86 and SLEEF have started to appear (see also libm). Apple Computer had somewhat more success, even though they entered the SIMD market later than the rest. AltiVec offered a rich system and can be programmed using increasingly sophisticated compilers from Motorola, IBM and GNU, therefore assembly language programming is rarely needed. Additionally, many of the systems that would benefit from SIMD were supplied by Apple itself, for example iTunes and QuickTime. However, in 2006, Apple computers moved to Intel x86 processors. Apple's APIs and development tools (XCode) were modified to support SSE2 and SSE3 as well as AltiVec. Apple was the dominant purchaser of PowerPC chips from IBM and Freescale Semiconductor. Even though Apple has stopped using PowerPC processors in their products, further development of AltiVec is continued in several PowerPC and Power ISA designs from Freescale and IBM. SIMD within a register, or SWAR, is a range of techniques and tricks used for performing SIMD in general-purpose registers on hardware that does not provide any direct support for SIMD instructions. This can be used to exploit parallelism in certain algorithms even on hardware that does not support SIMD directly. It is common for publishers of the SIMD instruction sets to make their own C and C++ language extensions with intrinsic functions or special datatypes (with operator overloading) guaranteeing the generation of vector code. Intel, AltiVec, and ARM NEON provide extensions widely adopted by the compilers targeting their CPUs. (More complex operations are the task of vector math libraries.) The GNU C Compiler takes the extensions a step further by abstracting them into a universal interface that can be used on any platform by providing a way of defining SIMD datatypes. The LLVM Clang compiler also implements the feature, with an analogous interface defined in the IR. Rust's packed_simd crate (and the experimental std::simd) uses this interface, and so does Swift 2.0+. C++ has an experimental interface std::experimental::simd that works similarly to the GCC extension. LLVM's libcxx seems to implement it.[citation needed] For GCC and libstdc++, a wrapper library that builds on top of the GCC extension is available. Microsoft added SIMD to .NET in RyuJIT. The System.Numerics.Vector package, available on NuGet, implements SIMD datatypes. Java also has a new proposed API for SIMD instructions available in OpenJDK 17 in an incubator module. It also has a safe fallback mechanism on unsupported CPUs to simple loops. Instead of providing an SIMD datatype, compilers can also be hinted to auto-vectorize some loops, potentially taking some assertions about the lack of data dependency. This is not as flexible as manipulating SIMD variables directly, but is easier to use. OpenMP 4.0+ has a #pragma omp simd hint. This OpenMP interface has replaced a wide set of nonstandard extensions, including Cilk's #pragma simd, GCC's #pragma GCC ivdep, and many more. An example of the use of platform-specific, generic vector-based, and generic hint-based interfaces is "SIMD everywhere", a collection of C/C++ headers implementing of platform-specific intrinsics for other platforms (e.g. SSE intrinsics for ARM NEON). Consumer software is typically expected to work on a range of CPUs covering multiple generations, which could limit the programmer's ability to use new SIMD instructions to improve the computational performance of a program. The solution is to include multiple versions of the same code that uses either older or newer SIMD technologies, and pick one that best fits the user's CPU at run-time (dynamic dispatch). There are two main camps of solutions: FMV, manually coded in assembly language, is quite commonly used in a number of performance-critical libraries such as glibc and libjpeg-turbo. Intel C++ Compiler, GNU Compiler Collection since GCC 6, and Clang since clang 7 allow for a simplified approach, with the compiler taking care of function duplication and selection. GCC and clang requires explicit target_clones labels in the code to "clone" functions, while ICC does so automatically (under the command-line option /Qax). The Rust programming language also supports FMV. The setup is similar to GCC and Clang in that the code defines what instruction sets to compile for, but cloning is manually done via inlining. As using FMV requires code modification on GCC and Clang, vendors more commonly use library multi-versioning: this is easier to achieve as only compiler switches need to be changed. Glibc supports LMV and this functionality is adopted by the Intel-backed Clear Linux project. SIMD on the web In 2013 John McCutchan announced that he had created a high-performance interface to SIMD instruction sets for the Dart programming language, bringing the benefits of SIMD to web programs for the first time. The interface consists of two types: Instances of these types are immutable and in optimized code are mapped directly to SIMD registers. Operations expressed in Dart typically are compiled into a single instruction without any overhead. This is similar to C and C++ intrinsics. Benchmarks for 4×4 matrix multiplication, 3D vertex transformation, and Mandelbrot set visualization show near 400% speedup compared to scalar code written in Dart. Intel announced at IDF 2013 that they were implementing McCutchan's specification for both V8 and SpiderMonkey. However, by 2017, SIMD.js was taken out of the ECMAScript standard queue in favor of pursuing a similar interface in WebAssembly. Support for SIMD was added to the WebAssembly 2.0 specification, which was finished on 2022 and became official in December 2024. LLVM's autovectoring, when compiling C or C++ to WebAssembly, can target WebAssembly SIMD to automatically make use of SIMD, while SIMD intrinsic are also available. Commercial applications It has generally proven difficult to find sustainable commercial applications for SIMD-only processors in general-purpose computing. One that has had some measure of success is the GAPP, which was developed by Lockheed Martin and taken to the commercial sector by their spin-off Teranex. The GAPP's recent incarnations have become a powerful tool in real-time video processing applications like conversion between various video standards and frame rates (NTSC to/from PAL, NTSC to/from high-definition television (HDTV) formats, etc.), deinterlacing, image noise reduction, adaptive video compression, and image enhancement. A more ubiquitous application for SIMD is found in video games: nearly every modern video game console since 1998 has incorporated a SIMD processor somewhere in its architecture. The PlayStation 2 was unusual in that one of its vector-float units could function as an autonomous digital signal processor (DSP) executing its own instruction stream, or as a coprocessor driven by ordinary CPU instructions. 3D graphics applications tend to lend themselves well to SIMD processing as they rely heavily on operations with 4-dimensional vectors. Microsoft's Direct3D 9.0 now chooses at runtime processor-specific implementations of its own math operations, including the use of SIMD-capable instructions. A later processor that used vector processing is the Cell processor used in the PlayStation 3, which was developed by IBM in cooperation with Toshiba and Sony. It uses a number of SIMD processors (a non-uniform memory access (NUMA) architecture, each with independent local store and controlled by a general purpose CPU) and is geared towards the huge datasets required by 3D and video processing applications. It differs from traditional ISAs by being SIMD from the ground up with no separate scalar registers. Ziilabs produced an SIMD type processor for use on mobile devices, such as media players and mobile phones. Larger scale commercial SIMD processors are available from ClearSpeed Technology, Ltd. and Stream Processors, Inc. ClearSpeed's CSX600 (2004) has 96 cores each with two double-precision floating point units while the CSX700 (2008) has 192. Stream Processors is headed by computer architect Bill Dally. Their Storm-1 processor (2007) contains 80 SIMD cores controlled by a MIPS CPU. See also References External links |
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[SOURCE: https://en.wikipedia.org/wiki/Multiple_instruction,_multiple_data] | [TOKENS: 1060] |
Contents Multiple instruction, multiple data In computing, multiple instruction, multiple data (MIMD) is a technique employed to achieve parallelism. Machines using MIMD have a number of processor cores that function asynchronously and independently. At any time, different processors may be executing different instructions on different pieces of data. MIMD architectures may be used in a number of application areas such as computer-aided design and computer-aided manufacturing, simulation, modeling, and as communication switches. MIMD machines can be of either shared memory or distributed memory categories. These classifications are based on how MIMD processors access memory. Shared memory machines may be of the bus-based, extended, or hierarchical type. Distributed memory machines may have hypercube or mesh interconnection schemes. Examples An example of MIMD system is Intel Xeon Phi, descended from Larrabee microarchitecture. These processors have multiple processing cores (up to 61 as of 2015) that can execute different instructions on different data. Most parallel computers, as of 2013, are MIMD systems. Shared memory model In shared memory model the processors are all connected to a "globally available" memory, via either software or hardware means. The operating system usually maintains its memory coherence. From a programmer's point of view, this memory model is better understood than the distributed memory model. Another advantage is that memory coherence is managed by the operating system and not the written program. Two known disadvantages are: scalability beyond thirty-two processors is difficult, and the shared memory model is less flexible than the distributed memory model. There are many examples of shared memory (multiprocessors): UMA (uniform memory access), COMA (cache-only memory access). MIMD machines with shared memory have processors which share a common, central memory. In the simplest form, all processors are attached to a bus which connects them to memory. This means that every machine with shared memory shares a specific CM, common bus system for all the clients. For example, if we consider a bus with clients A, B, C connected on one side and P, Q, R connected on the opposite side, any one of the clients will communicate with the other by means of the bus interface between them. MIMD machines with hierarchical shared memory use a hierarchy of buses (as, for example, in a "fat tree") to give processors access to each other's memory. Processors on different boards may communicate through inter-nodal buses. Buses support communication between boards. With this type of architecture, the machine may support over nine thousand processors. Distributed memory In distributed memory MIMD (multiple instruction, multiple data) machines, each processor has its own individual memory location. Each processor has no direct knowledge about other processor's memory. For data to be shared, it must be passed from one processor to another as a message. Since there is no shared memory, contention is not as great a problem with these machines. It is not economically feasible to connect a large number of processors directly to each other. A way to avoid this multitude of direct connections is to connect each processor to just a few others. This type of design can be inefficient because of the added time required to pass a message from one processor to another along the message path. The amount of time required for processors to perform simple message routing can be substantial. Systems were designed to reduce this time loss and hypercube and mesh are among two of the popular interconnection schemes. Examples of distributed memory (multiple computers) include MPP (massively parallel processors), COW (clusters of workstations) and NUMA (non-uniform memory access). The former is complex and expensive: Many super-computers coupled by broad-band networks. Examples include hypercube and mesh interconnections. COW is the "home-made" version for a fraction of the price. In an MIMD distributed memory machine with a hypercube system interconnection network containing four processors, a processor and a memory module are placed at each vertex of a square. The diameter of the system is the minimum number of steps it takes for one processor to send a message to the processor that is the farthest away. So, for example, the diameter of a 2-cube is 2. In a hypercube system with eight processors and each processor and memory module being placed in the vertex of a cube, the diameter is 3. In general, a system that contains 2^N processors with each processor directly connected to N other processors, the diameter of the system is N. One disadvantage of a hypercube system is that it must be configured in powers of two, so a machine must be built that could potentially have many more processors than is really needed for the application. In an MIMD distributed memory machine with a mesh interconnection network, processors are placed in a two-dimensional grid. Each processor is connected to its four immediate neighbors. Wrap around connections may be provided at the edges of the mesh. One advantage of the mesh interconnection network over the hypercube is that the mesh system need not be configured in powers of two. A disadvantage is that the diameter of the mesh network is greater than the hypercube for systems with more than four processors. See also References |
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[SOURCE: https://en.wikipedia.org/wiki/II_Zwicky_28] | [TOKENS: 239] |
Contents II Zwicky 28 II Zwicky 28 is an interacting ring galaxy at a distance of approximately 390 million light-years. The sparkling pink and purple loop in Zw II 28 is not a typical ring galaxy because it does not seem to have the usual visible central companion. For many years it was thought to be a lone circle on the sky, but observations using the Hubble Space Telescope have shown that there may be a possible companion lurking just inside the ring, where the loop appears to double back on itself. The galaxy is only a faint IRAS source, which may indicate a lower level of star formation than other rings, however it has a high Hα luminosity, similar to other ring galaxies. It displays strong Balmer absorption lines interior to the ring, and it is possible that a major burst of star formation has recently occurred, using up a large fraction of the galaxy's molecular reservoir, and depleting its dust content. The bright foreground star is not associated to Zwicky; it is in our own galaxy, about 1,585 light-years away from the sun. References This galaxy-related article is a stub. You can help Wikipedia by adding missing information. |
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[SOURCE: https://en.wikipedia.org/wiki/Euclidean_vector] | [TOKENS: 13466] |
Contents Euclidean vector In mathematics, physics, and engineering, a Euclidean vector or simply a vector (sometimes called a geometric vector or spatial vector) is a geometric object that has magnitude (or length) and direction. Euclidean vectors can be added and scaled to form a vector space. A vector quantity is a vector-valued physical quantity, including units of measurement and possibly a support, formulated as a directed line segment. A vector is frequently depicted graphically as an arrow connecting an initial point A with a terminal point B, and denoted by A B ⟶ . {\textstyle {\stackrel {\longrightarrow }{AB}}.} A vector is what is needed to "carry" the point A to the point B; the Latin word vector means 'carrier'. It was first used by 18th century astronomers investigating planetary revolution around the Sun. The magnitude of the vector is the distance between the two points, and the direction refers to the direction of displacement from A to B. Many algebraic operations on real numbers such as addition, subtraction, multiplication, and negation have close analogues for vectors, operations which obey the familiar algebraic laws of commutativity, associativity, and distributivity. These operations and associated laws qualify Euclidean vectors as an example of the more generalized concept of vectors defined simply as elements of a vector space. Vectors play an important role in physics: the velocity and acceleration of a moving object and the forces acting on it can all be described with vectors. Many other physical quantities can be usefully thought of as vectors. Although most of them do not represent distances (except, for example, position or displacement), their magnitude and direction can still be represented by the length and direction of an arrow. The mathematical representation of a physical vector depends on the coordinate system used to describe it. Other vector-like mathematical objects that describe physical quantities, such as pseudovectors and tensors, transform in a similar way under changes of the coordinate system. History The vector concept, as it is known today, is the result of a gradual development over a period of more than 200 years. About a dozen people contributed significantly to its development. In 1835, Giusto Bellavitis abstracted the basic idea when he established the concept of equipollence. Working in a Euclidean plane, he made equipollent any pair of parallel line segments of the same length and orientation. Essentially, he realized an equivalence relation on the pairs of points (bipoints) in the plane, and thus erected the first space of vectors in the plane.: 52–4 The term vector was introduced by William Rowan Hamilton as part of a quaternion, which is a sum q = s + v of a real number s (also called scalar) and a 3-dimensional vector. Like Bellavitis, Hamilton viewed vectors as representative of classes of equipollent directed segments. As complex numbers use an imaginary unit to complement the real line, Hamilton considered the vector v to be the imaginary part of a quaternion: The algebraically imaginary part, being geometrically constructed by a straight line, or radius vector, which has, in general, for each determined quaternion, a determined length and determined direction in space, may be called the vector part, or simply the vector of the quaternion. Several other mathematicians developed vector-like systems in the middle of the nineteenth century, including Augustin Cauchy, Hermann Grassmann, August Möbius, Comte de Saint-Venant, and Matthew O'Brien. Grassmann's 1840 work Theorie der Ebbe und Flut (Theory of the Ebb and Flow) was the first system of spatial analysis that is similar to today's system, and had ideas corresponding to the cross product, scalar product and vector differentiation. Grassmann's work was largely neglected until the 1870s. Peter Guthrie Tait carried the quaternion standard after Hamilton. His 1867 Elementary Treatise of Quaternions included extensive treatment of the nabla or del operator ∇. In 1878, Elements of Dynamic was published by William Kingdon Clifford. Clifford simplified the quaternion study by isolating the dot product and cross product of two vectors from the complete quaternion product. This approach made vector calculations available to engineers—and others working in three dimensions and skeptical of the fourth. Josiah Willard Gibbs, who was exposed to quaternions through James Clerk Maxwell's Treatise on Electricity and Magnetism, separated off their vector part for independent treatment. The first half of Gibbs's Elements of Vector Analysis, published in 1881, presents what is essentially the modern system of vector analysis. In 1901, Edwin Bidwell Wilson published Vector Analysis, adapted from Gibbs's lectures, which banished any mention of quaternions in the development of vector calculus. Overview In physics and engineering, a vector is typically regarded as a geometric entity characterized by a magnitude and a relative direction. It is formally defined as a directed line segment, or arrow, in a Euclidean space. In pure mathematics, a vector is defined more generally as any element of a vector space. In this context, vectors are abstract entities which may or may not be characterized by a magnitude and a direction. This generalized definition implies that the above-mentioned geometric entities are a special kind of abstract vectors, as they are elements of a special kind of vector space called Euclidean space. This particular article is about vectors strictly defined as arrows in Euclidean space. When it becomes necessary to distinguish these special vectors from vectors as defined in pure mathematics, they are sometimes referred to as geometric, spatial, or Euclidean vectors. A Euclidean vector may possess a definite initial point and terminal point; such a condition may be emphasized calling the result a bound vector. When only the magnitude and direction of the vector matter, and the particular initial or terminal points are of no importance, the vector is called a free vector. The distinction between bound and free vectors is especially relevant in mechanics, where a force applied to a body has a point of contact (see resultant force and couple). Two arrows A B ⟶ {\displaystyle {\stackrel {\,\longrightarrow }{AB}}} and A ′ B ′ ⟶ {\displaystyle {\stackrel {\,\longrightarrow }{A'B'}}} in space represent the same free vector if they have the same magnitude and direction: that is, they are equipollent if the quadrilateral ABB′A′ is a parallelogram. If the Euclidean space is equipped with a choice of origin, then a free vector is equivalent to the bound vector of the same magnitude and direction whose initial point is the origin. The term vector also has generalizations to higher dimensions, and to more formal approaches with much wider applications. In classical Euclidean geometry (i.e., synthetic geometry), vectors were introduced (during the 19th century) as equivalence classes under equipollence of ordered pairs of points ; two pairs (A, B) and (C, D) being equipollent if the points A, B, D, C, in this order, form a parallelogram. Such an equivalence class is called a vector, more precisely, a Euclidean vector. The equivalence class of (A, B) is often denoted A B → . {\displaystyle {\overrightarrow {AB}}.} A Euclidean vector is thus an equivalence class of directed segments with the same magnitude (e.g., the length of the line segment (A, B)) and same direction (e.g., the direction from A to B). In physics, Euclidean vectors are used to represent physical quantities that have both magnitude and direction, but are not located at a specific place, in contrast to scalars, which have no direction. For example, velocity, forces and acceleration are represented by vectors. In modern geometry, Euclidean spaces are often defined from linear algebra. More precisely, a Euclidean space E is defined as a set to which is associated an inner product space of finite dimension over the reals E → , {\displaystyle {\overrightarrow {E}},} and a group action of the additive group of E → , {\displaystyle {\overrightarrow {E}},} which is free and transitive (See Affine space for details of this construction). The elements of E → {\displaystyle {\overrightarrow {E}}} are called translations. It has been proven that the two definitions of Euclidean spaces are equivalent, and that the equivalence classes under equipollence may be identified with translations. Sometimes, Euclidean vectors are considered without reference to a Euclidean space. In this case, a Euclidean vector is an element of a normed vector space of finite dimension over the reals, or, typically, an element of the real coordinate space R n {\displaystyle \mathbb {R} ^{n}} equipped with the dot product. This makes sense, as the addition in such a vector space acts freely and transitively on the vector space itself. That is, R n {\displaystyle \mathbb {R} ^{n}} is a Euclidean space, with itself as an associated vector space, and the dot product as an inner product. The Euclidean space R n {\displaystyle \mathbb {R} ^{n}} is often presented as the standard Euclidean space of dimension n. This is motivated by the fact that every Euclidean space of dimension n is isomorphic to the Euclidean space R n . {\displaystyle \mathbb {R} ^{n}.} More precisely, given such a Euclidean space, one may choose any point O as an origin. By Gram–Schmidt process, one may also find an orthonormal basis of the associated vector space (a basis such that the inner product of two basis vectors is 0 if they are different and 1 if they are equal). This defines Cartesian coordinates of any point P of the space, as the coordinates on this basis of the vector O P → . {\displaystyle {\overrightarrow {OP}}.} These choices define an isomorphism of the given Euclidean space onto R n , {\displaystyle \mathbb {R} ^{n},} by mapping any point to the n-tuple of its Cartesian coordinates, and every vector to its coordinate vector. Since the physicist's concept of force has a direction and a magnitude, it may be seen as a vector. As an example, consider a rightward force F of 15 newtons. If the positive axis is also directed rightward, then F is represented by the vector 15 N, and if positive points leftward, then the vector for F is −15 N. In either case, the magnitude of the vector is 15 N. Likewise, the vector representation of a displacement Δs of 4 meters would be 4 m or −4 m, depending on its direction, and its magnitude would be 4 m regardless. Vectors are fundamental in the physical sciences. They can be used to represent any quantity that has magnitude, has direction, and which adheres to the rules of vector addition. An example is velocity, the magnitude of which is speed. For instance, the velocity 5 meters per second upward could be represented by the vector (0, 5) (in 2 dimensions with the positive y-axis as 'up'). Another quantity represented by a vector is force, since it has a magnitude and direction and follows the rules of vector addition. Vectors also describe many other physical quantities, such as linear displacement, displacement, linear acceleration, angular acceleration, linear momentum, and angular momentum. Other physical vectors, such as the electric and magnetic field, are represented as a system of vectors at each point of a physical space; that is, a vector field. Examples of quantities that have magnitude and direction, but fail to follow the rules of vector addition, are angular displacement and electric current. Consequently, these are not vectors. In the Cartesian coordinate system, a bound vector can be represented by identifying the coordinates of its initial and terminal point. For instance, the points A = (1, 0, 0) and B = (0, 1, 0) in space determine the bound vector A B → {\displaystyle {\overrightarrow {AB}}} pointing from the point x = 1 on the x-axis to the point y = 1 on the y-axis. In Cartesian coordinates, a free vector may be thought of in terms of a corresponding bound vector, in this sense, whose initial point has the coordinates of the origin O = (0, 0, 0). It is then determined by the coordinates of that bound vector's terminal point. Thus the free vector represented by (1, 0, 0) is a vector of unit length—pointing along the direction of the positive x-axis. This coordinate representation of free vectors allows their algebraic features to be expressed in a convenient numerical fashion. For example, the sum of the two (free) vectors (1, 2, 3) and (−2, 0, 4) is the (free) vector ( 1 , 2 , 3 ) + ( − 2 , 0 , 4 ) = ( 1 − 2 , 2 + 0 , 3 + 4 ) = ( − 1 , 2 , 7 ) . {\displaystyle (1,2,3)+(-2,0,4)=(1-2,2+0,3+4)=(-1,2,7)\,.} In the geometrical and physical settings, it is sometimes possible to associate, in a natural way, a length or magnitude and a direction to vectors. In addition, the notion of direction is strictly associated with the notion of an angle between two vectors. If the dot product of two vectors is defined—a scalar-valued product of two vectors—then it is also possible to define a length; the dot product gives a convenient algebraic characterization of both angle (a function of the dot product between any two non-zero vectors) and length (the square root of the dot product of a vector by itself). In three dimensions, it is further possible to define the cross product, which supplies an algebraic characterization of the area and orientation in space of the parallelogram defined by two vectors (used as sides of the parallelogram). In any dimension (and, in particular, higher dimensions), it is possible to define the exterior product, which (among other things) supplies an algebraic characterization of the area and orientation in space of the n-dimensional parallelotope defined by n vectors. In a pseudo-Euclidean space, a vector's squared length can be positive, negative, or zero. An important example is Minkowski space (which is important to our understanding of special relativity). However, it is not always possible or desirable to define the length of a vector. This more general type of spatial vector is the subject of vector spaces (for free vectors) and affine spaces (for bound vectors, as each represented by an ordered pair of "points"). One physical example comes from thermodynamics, where many quantities of interest can be considered vectors in a space with no notion of length or angle. In physics, as well as mathematics, a vector is often identified with a tuple of components, or list of numbers, that act as scalar coefficients for a set of basis vectors. When the basis is transformed, for example by rotation or stretching, then the components of any vector in terms of that basis also transform in an opposite sense. The vector itself has not changed, but the basis has, so the components of the vector must change to compensate. The vector is called covariant or contravariant, depending on how the transformation of the vector's components is related to the transformation of the basis. In general, contravariant vectors are "regular vectors" with units of distance (such as a displacement), or distance times some other unit (such as velocity or acceleration); covariant vectors, on the other hand, have units of one-over-distance such as gradient. If you change units (a special case of a change of basis) from meters to millimeters, a scale factor of 1/1000, a displacement of 1 m becomes 1000 mm—a contravariant change in numerical value. In contrast, a gradient of 1 K/m becomes 0.001 K/mm—a covariant change in value (for more, see covariance and contravariance of vectors). Tensors are another type of quantity that behave in this way; a vector is one type of tensor. In pure mathematics, a vector is any element of a vector space over some field and is often represented as a coordinate vector. The vectors described in this article are a very special case of this general definition, because they are contravariant with respect to the ambient space. Contravariance captures the physical intuition behind the idea that a vector has "magnitude and direction". Representations Vectors are usually denoted in lowercase boldface, as in u {\displaystyle \mathbf {u} } , v {\displaystyle \mathbf {v} } and w {\displaystyle \mathbf {w} } , or in lowercase italic boldface, as in a. (Uppercase letters are typically used to represent matrices.) Other conventions include a → {\displaystyle {\vec {a}}} or a, especially in handwriting. Alternatively, some use a tilde (~) or a wavy underline drawn beneath the symbol, e.g. a ∼ {\displaystyle {\underset {^{\sim }}{a}}} , which is a convention for indicating boldface type. If the vector represents a directed distance or displacement from a point A to a point B (see figure), it can also be denoted as A B ⟶ {\displaystyle {\stackrel {\longrightarrow }{AB}}} or AB. In German literature, it was especially common to represent vectors with small fraktur letters such as a {\displaystyle {\mathfrak {a}}} . Vectors are usually shown in graphs or other diagrams as arrows (directed line segments), as illustrated in the figure. Here, the point A is called the origin, tail, base, or initial point, and the point B is called the head, tip, endpoint, terminal point or final point. The length of the arrow is proportional to the vector's magnitude, while the direction in which the arrow points indicates the vector's direction. On a two-dimensional diagram, a vector perpendicular to the plane of the diagram is sometimes desired. These vectors are commonly shown as small circles. A circle with a dot at its centre (Unicode U+2299 ⊙) indicates a vector pointing out of the front of the diagram, toward the viewer. A circle with a cross inscribed in it (Unicode U+2297 ⊗) indicates a vector pointing into and behind the diagram. These can be thought of as viewing the tip of an arrow head on and viewing the flights of an arrow from the back. In order to calculate with vectors, the graphical representation may be too cumbersome. Vectors in an n-dimensional Euclidean space can be represented as coordinate vectors in a Cartesian coordinate system. The endpoint of a vector can be identified with an ordered list of n real numbers (n-tuple). These numbers are the coordinates of the endpoint of the vector, with respect to a given Cartesian coordinate system, and are typically called the scalar components (or scalar projections) of the vector on the axes of the coordinate system. As an example in two dimensions (see figure), the vector from the origin O = (0, 0) to the point A = (2, 3) is simply written as a = ( 2 , 3 ) . {\displaystyle \mathbf {a} =(2,3).} The notion that the tail of the vector coincides with the origin is implicit and easily understood. Thus, the more explicit notation O A → {\displaystyle {\overrightarrow {OA}}} is usually deemed not necessary (and is indeed rarely used). In three dimensional Euclidean space (or R3), vectors are identified with triples of scalar components: a = ( a 1 , a 2 , a 3 ) . {\displaystyle \mathbf {a} =(a_{1},a_{2},a_{3}).} also written, a = ( a x , a y , a z ) . {\displaystyle \mathbf {a} =(a_{x},a_{y},a_{z}).} This can be generalised to n-dimensional Euclidean space (or Rn). a = ( a 1 , a 2 , a 3 , … , a n − 1 , a n ) . {\displaystyle \mathbf {a} =(a_{1},a_{2},a_{3},\ldots ,a_{n-1},a_{n}).} These numbers are often arranged into a column vector or row vector, particularly when dealing with matrices, as follows: a = [ a 1 a 2 a 3 ] = [ a 1 a 2 a 3 ] T . {\displaystyle \mathbf {a} ={\begin{bmatrix}a_{1}\\a_{2}\\a_{3}\\\end{bmatrix}}=[a_{1}\ a_{2}\ a_{3}]^{\operatorname {T} }.} Another way to represent a vector in n-dimensions is to introduce the standard basis vectors. For instance, in three dimensions, there are three of them: e 1 = ( 1 , 0 , 0 ) , e 2 = ( 0 , 1 , 0 ) , e 3 = ( 0 , 0 , 1 ) . {\displaystyle {\mathbf {e} }_{1}=(1,0,0),\ {\mathbf {e} }_{2}=(0,1,0),\ {\mathbf {e} }_{3}=(0,0,1).} These have the intuitive interpretation as vectors of unit length pointing up the x-, y-, and z-axis of a Cartesian coordinate system, respectively. In terms of these, any vector a in R3 can be expressed in the form: a = ( a 1 , a 2 , a 3 ) = a 1 ( 1 , 0 , 0 ) + a 2 ( 0 , 1 , 0 ) + a 3 ( 0 , 0 , 1 ) , {\displaystyle \mathbf {a} =(a_{1},a_{2},a_{3})=a_{1}(1,0,0)+a_{2}(0,1,0)+a_{3}(0,0,1),\ } or a = a 1 + a 2 + a 3 = a 1 e 1 + a 2 e 2 + a 3 e 3 , {\displaystyle \mathbf {a} =\mathbf {a} _{1}+\mathbf {a} _{2}+\mathbf {a} _{3}=a_{1}{\mathbf {e} }_{1}+a_{2}{\mathbf {e} }_{2}+a_{3}{\mathbf {e} }_{3},} where a1, a2, a3 are called the vector components (or vector projections) of a on the basis vectors or, equivalently, on the corresponding Cartesian axes x, y, and z (see figure), while a1, a2, a3 are the respective scalar components (or scalar projections). In introductory physics textbooks, the standard basis vectors are often denoted i , j , k {\displaystyle \mathbf {i} ,\mathbf {j} ,\mathbf {k} } instead (or x ^ , y ^ , z ^ {\displaystyle \mathbf {\hat {x}} ,\mathbf {\hat {y}} ,\mathbf {\hat {z}} } , in which the hat symbol ^ {\displaystyle \mathbf {\hat {}} } typically denotes unit vectors). In this case, the scalar and vector components are denoted respectively ax, ay, az, and ax, ay, az (note the difference in boldface). Thus, a = a x + a y + a z = a x i + a y j + a z k . {\displaystyle \mathbf {a} =\mathbf {a} _{x}+\mathbf {a} _{y}+\mathbf {a} _{z}=a_{x}{\mathbf {i} }+a_{y}{\mathbf {j} }+a_{z}{\mathbf {k} }.} The notation ei is compatible with the index notation and the summation convention commonly used in higher level mathematics, physics, and engineering. As explained above, a vector is often described by a set of vector components that add up to form the given vector. Typically, these components are the projections of the vector on a set of mutually perpendicular reference axes (basis vectors). The vector is said to be decomposed or resolved with respect to that set. The decomposition or resolution of a vector into components is not unique, because it depends on the choice of the axes on which the vector is projected. Moreover, the use of Cartesian unit vectors such as x ^ , y ^ , z ^ {\displaystyle \mathbf {\hat {x}} ,\mathbf {\hat {y}} ,\mathbf {\hat {z}} } as a basis in which to represent a vector is not mandated. Vectors can also be expressed in terms of an arbitrary basis, including the unit vectors of a cylindrical coordinate system ( ρ ^ , ϕ ^ , z ^ {\displaystyle {\boldsymbol {\hat {\rho }}},{\boldsymbol {\hat {\phi }}},\mathbf {\hat {z}} } ) or spherical coordinate system ( r ^ , θ ^ , ϕ ^ {\displaystyle \mathbf {\hat {r}} ,{\boldsymbol {\hat {\theta }}},{\boldsymbol {\hat {\phi }}}} ). The latter two choices are more convenient for solving problems which possess cylindrical or spherical symmetry, respectively. The choice of a basis does not affect the properties of a vector or its behaviour under transformations. A vector can also be broken up with respect to "non-fixed" basis vectors that change their orientation as a function of time or space. For example, a vector in three-dimensional space can be decomposed with respect to two axes, respectively normal, and tangent to a surface (see figure). Moreover, the radial and tangential components of a vector relate to the radius of rotation of an object. The former is parallel to the radius and the latter is orthogonal to it. In these cases, each of the components may be in turn decomposed with respect to a fixed coordinate system or basis set (e.g., a global coordinate system, or inertial reference frame). Properties and operations The following section uses the Cartesian coordinate system with basis vectors e 1 = ( 1 , 0 , 0 ) , e 2 = ( 0 , 1 , 0 ) , e 3 = ( 0 , 0 , 1 ) {\displaystyle {\mathbf {e} }_{1}=(1,0,0),\ {\mathbf {e} }_{2}=(0,1,0),\ {\mathbf {e} }_{3}=(0,0,1)} and assumes that all vectors have the origin as a common base point. A vector a will be written as a = a 1 e 1 + a 2 e 2 + a 3 e 3 . {\displaystyle {\mathbf {a} }=a_{1}{\mathbf {e} }_{1}+a_{2}{\mathbf {e} }_{2}+a_{3}{\mathbf {e} }_{3}.} Two vectors are said to be equal if they have the same magnitude and direction. Equivalently they will be equal if their coordinates are equal. So two vectors a = a 1 e 1 + a 2 e 2 + a 3 e 3 {\displaystyle {\mathbf {a} }=a_{1}{\mathbf {e} }_{1}+a_{2}{\mathbf {e} }_{2}+a_{3}{\mathbf {e} }_{3}} and b = b 1 e 1 + b 2 e 2 + b 3 e 3 {\displaystyle {\mathbf {b} }=b_{1}{\mathbf {e} }_{1}+b_{2}{\mathbf {e} }_{2}+b_{3}{\mathbf {e} }_{3}} are equal if a 1 = b 1 , a 2 = b 2 , a 3 = b 3 . {\displaystyle a_{1}=b_{1},\quad a_{2}=b_{2},\quad a_{3}=b_{3}.\,} Two vectors are opposite if they have the same magnitude but opposite direction; so two vectors a = a 1 e 1 + a 2 e 2 + a 3 e 3 {\displaystyle {\mathbf {a} }=a_{1}{\mathbf {e} }_{1}+a_{2}{\mathbf {e} }_{2}+a_{3}{\mathbf {e} }_{3}} and b = b 1 e 1 + b 2 e 2 + b 3 e 3 {\displaystyle {\mathbf {b} }=b_{1}{\mathbf {e} }_{1}+b_{2}{\mathbf {e} }_{2}+b_{3}{\mathbf {e} }_{3}} are opposite if a 1 = − b 1 , a 2 = − b 2 , a 3 = − b 3 . {\displaystyle a_{1}=-b_{1},\quad a_{2}=-b_{2},\quad a_{3}=-b_{3}.\,} Two vectors are equidirectional (or codirectional) if they have the same direction but not necessarily the same magnitude. Two vectors are parallel if they have either the same or opposite direction, but not necessarily the same magnitude; two vectors are antiparallel if they have strictly opposite direction, but not necessarily the same magnitude.[a] The sum of a and b of two vectors may be defined as a + b = ( a 1 + b 1 ) e 1 + ( a 2 + b 2 ) e 2 + ( a 3 + b 3 ) e 3 . {\displaystyle \mathbf {a} +\mathbf {b} =(a_{1}+b_{1})\mathbf {e} _{1}+(a_{2}+b_{2})\mathbf {e} _{2}+(a_{3}+b_{3})\mathbf {e} _{3}.} The resulting vector is sometimes called the resultant vector of a and b. The addition may be represented graphically by placing the tail of the arrow b at the head of the arrow a, and then drawing an arrow from the tail of a to the head of b. The new arrow drawn represents the vector a + b, as illustrated below: This addition method is sometimes called the parallelogram rule because a and b form the sides of a parallelogram and a + b is one of the diagonals. If a and b are bound vectors that have the same base point, this point will also be the base point of a + b. One can check geometrically that a + b = b + a and (a + b) + c = a + (b + c). The difference of a and b is a − b = ( a 1 − b 1 ) e 1 + ( a 2 − b 2 ) e 2 + ( a 3 − b 3 ) e 3 . {\displaystyle \mathbf {a} -\mathbf {b} =(a_{1}-b_{1})\mathbf {e} _{1}+(a_{2}-b_{2})\mathbf {e} _{2}+(a_{3}-b_{3})\mathbf {e} _{3}.} Subtraction of two vectors can be geometrically illustrated as follows: to subtract b from a, place the tails of a and b at the same point, and then draw an arrow from the head of b to the head of a. This new arrow represents the vector (-b) + a, with (-b) being the opposite of b, see drawing. And (-b) + a = a − b. A vector may also be multiplied, or re-scaled, by any real number r. In the context of conventional vector algebra, these real numbers are often called scalars (from scale) to distinguish them from vectors. The operation of multiplying a vector by a scalar is called scalar multiplication. The resulting vector is r a = ( r a 1 ) e 1 + ( r a 2 ) e 2 + ( r a 3 ) e 3 . {\displaystyle r\mathbf {a} =(ra_{1})\mathbf {e} _{1}+(ra_{2})\mathbf {e} _{2}+(ra_{3})\mathbf {e} _{3}.} Intuitively, multiplying by a scalar r stretches a vector out by a factor of r. Geometrically, this can be visualized (at least in the case when r is an integer) as placing r copies of the vector in a line where the endpoint of one vector is the initial point of the next vector. If r is negative, then the vector changes direction: it flips around by an angle of 180°. Two examples (r = −1 and r = 2) are given below: Scalar multiplication is distributive over vector addition in the following sense: r(a + b) = ra + rb for all vectors a and b and all scalars r. One can also show that a − b = a + (−1)b. The length, magnitude or norm of the vector a is denoted by ‖a‖ or, less commonly, |a|, which is not to be confused with the absolute value (a scalar "norm"). The length of the vector a can be computed with the Euclidean norm, ‖ a ‖ = a 1 2 + a 2 2 + a 3 2 , {\displaystyle \left\|\mathbf {a} \right\|={\sqrt {a_{1}^{2}+a_{2}^{2}+a_{3}^{2}}},} which is a consequence of the Pythagorean theorem since the basis vectors e1, e2, e3 are orthogonal unit vectors. This happens to be equal to the square root of the dot product, discussed below, of the vector with itself: ‖ a ‖ = a ⋅ a . {\displaystyle \left\|\mathbf {a} \right\|={\sqrt {\mathbf {a} \cdot \mathbf {a} }}.} A unit vector is any vector with a length of one; normally unit vectors are used simply to indicate direction. A vector of arbitrary length can be divided by its length to create a unit vector. This is known as normalizing a vector. A unit vector is often indicated with a hat as in â. To normalize a vector a = (a1, a2, a3), scale the vector by the reciprocal of its length ‖a‖. That is: a ^ = a ‖ a ‖ = a 1 ‖ a ‖ e 1 + a 2 ‖ a ‖ e 2 + a 3 ‖ a ‖ e 3 {\displaystyle \mathbf {\hat {a}} ={\frac {\mathbf {a} }{\left\|\mathbf {a} \right\|}}={\frac {a_{1}}{\left\|\mathbf {a} \right\|}}\mathbf {e} _{1}+{\frac {a_{2}}{\left\|\mathbf {a} \right\|}}\mathbf {e} _{2}+{\frac {a_{3}}{\left\|\mathbf {a} \right\|}}\mathbf {e} _{3}} The zero vector is the vector with length zero. Written out in coordinates, the vector is (0, 0, 0), and it is commonly denoted 0 → {\displaystyle {\vec {0}}} , 0, or simply 0. Unlike any other vector, it has an arbitrary or indeterminate direction, and cannot be normalized (that is, there is no unit vector that is a multiple of the zero vector). The sum of the zero vector with any vector a is a (that is, 0 + a = a). The dot product of two vectors a and b (sometimes called the inner product, or, since its result is a scalar, the scalar product) is denoted by a ∙ b, and is defined as: a ⋅ b = ‖ a ‖ ‖ b ‖ cos θ , {\displaystyle \mathbf {a} \cdot \mathbf {b} =\left\|\mathbf {a} \right\|\left\|\mathbf {b} \right\|\cos \theta ,} where θ is the measure of the angle between a and b (see trigonometric function for an explanation of cosine). Geometrically, this means that a and b are drawn with a common start point, and then the length of a is multiplied with the length of the component of b that points in the same direction as a. The dot product can also be defined as the sum of the products of the components of each vector as a ⋅ b = a 1 b 1 + a 2 b 2 + a 3 b 3 . {\displaystyle \mathbf {a} \cdot \mathbf {b} =a_{1}b_{1}+a_{2}b_{2}+a_{3}b_{3}.} The cross product (also called the vector product or outer product) is only meaningful in three or seven dimensions. The cross product differs from the dot product primarily in that the result of the cross product of two vectors is a vector. The cross product, denoted a × b, is a vector perpendicular to both a and b and is defined as a × b = ‖ a ‖ ‖ b ‖ sin ( θ ) n {\displaystyle \mathbf {a} \times \mathbf {b} =\left\|\mathbf {a} \right\|\left\|\mathbf {b} \right\|\sin(\theta )\,\mathbf {n} } where θ is the measure of the angle between a and b, and n is a unit vector perpendicular to both a and b which completes a right-handed system. The right-handedness constraint is necessary because there exist two unit vectors that are perpendicular to both a and b, namely, n and (−n). The cross product a × b is defined so that a, b, and a × b also becomes a right-handed system (although a and b are not necessarily orthogonal). This is the right-hand rule. The length of a × b can be interpreted as the area of the parallelogram having a and b as sides. The cross product can be written as a × b = ( a 2 b 3 − a 3 b 2 ) e 1 + ( a 3 b 1 − a 1 b 3 ) e 2 + ( a 1 b 2 − a 2 b 1 ) e 3 . {\displaystyle {\mathbf {a} }\times {\mathbf {b} }=(a_{2}b_{3}-a_{3}b_{2}){\mathbf {e} }_{1}+(a_{3}b_{1}-a_{1}b_{3}){\mathbf {e} }_{2}+(a_{1}b_{2}-a_{2}b_{1}){\mathbf {e} }_{3}.} For arbitrary choices of spatial orientation (that is, allowing for left-handed as well as right-handed coordinate systems) the cross product of two vectors is a pseudovector instead of a vector (see below). The scalar triple product (also called the box product or mixed triple product) is not really a new operator, but a way of applying the other two multiplication operators to three vectors. The scalar triple product is sometimes denoted by (a b c) and defined as: ( a b c ) = a ⋅ ( b × c ) . {\displaystyle (\mathbf {a} \ \mathbf {b} \ \mathbf {c} )=\mathbf {a} \cdot (\mathbf {b} \times \mathbf {c} ).} It has three primary uses. First, the absolute value of the box product is the volume of the parallelepiped which has edges that are defined by the three vectors. Second, the scalar triple product is zero if and only if the three vectors are linearly dependent, which can be easily proved by considering that in order for the three vectors to not make a volume, they must all lie in the same plane. Third, the box product is positive if and only if the three vectors a, b and c are right-handed. In components (with respect to a right-handed orthonormal basis), if the three vectors are thought of as rows (or columns, but in the same order), the scalar triple product is simply the determinant of the 3-by-3 matrix having the three vectors as rows ( a b c ) = | a 1 a 2 a 3 b 1 b 2 b 3 c 1 c 2 c 3 | {\displaystyle (\mathbf {a} \ \mathbf {b} \ \mathbf {c} )={\begin{vmatrix}a_{1}&a_{2}&a_{3}\\b_{1}&b_{2}&b_{3}\\c_{1}&c_{2}&c_{3}\\\end{vmatrix}}} The scalar triple product is linear in all three entries and anti-symmetric in the following sense: ( a b c ) = ( c a b ) = ( b c a ) = − ( a c b ) = − ( b a c ) = − ( c b a ) . {\displaystyle (\mathbf {a} \ \mathbf {b} \ \mathbf {c} )=(\mathbf {c} \ \mathbf {a} \ \mathbf {b} )=(\mathbf {b} \ \mathbf {c} \ \mathbf {a} )=-(\mathbf {a} \ \mathbf {c} \ \mathbf {b} )=-(\mathbf {b} \ \mathbf {a} \ \mathbf {c} )=-(\mathbf {c} \ \mathbf {b} \ \mathbf {a} ).} All examples thus far have dealt with vectors expressed in terms of the same basis, namely, the e basis {e1, e2, e3}. However, a vector can be expressed in terms of any number of different bases that are not necessarily aligned with each other, and still remain the same vector. In the e basis, a vector a is expressed, by definition, as a = p e 1 + q e 2 + r e 3 . {\displaystyle \mathbf {a} =p\mathbf {e} _{1}+q\mathbf {e} _{2}+r\mathbf {e} _{3}.} The scalar components in the e basis are, by definition, p = a ⋅ e 1 , q = a ⋅ e 2 , r = a ⋅ e 3 . {\displaystyle {\begin{aligned}p&=\mathbf {a} \cdot \mathbf {e} _{1},\\q&=\mathbf {a} \cdot \mathbf {e} _{2},\\r&=\mathbf {a} \cdot \mathbf {e} _{3}.\end{aligned}}} In another orthonormal basis n = {n1, n2, n3} that is not necessarily aligned with e, the vector a is expressed as a = u n 1 + v n 2 + w n 3 {\displaystyle \mathbf {a} =u\mathbf {n} _{1}+v\mathbf {n} _{2}+w\mathbf {n} _{3}} and the scalar components in the n basis are, by definition, u = a ⋅ n 1 , v = a ⋅ n 2 , w = a ⋅ n 3 . {\displaystyle {\begin{aligned}u&=\mathbf {a} \cdot \mathbf {n} _{1},\\v&=\mathbf {a} \cdot \mathbf {n} _{2},\\w&=\mathbf {a} \cdot \mathbf {n} _{3}.\end{aligned}}} The values of p, q, r, and u, v, w relate to the unit vectors in such a way that the resulting vector sum is exactly the same physical vector a in both cases. It is common to encounter vectors known in terms of different bases (for example, one basis fixed to the Earth and a second basis fixed to a moving vehicle). In such a case it is necessary to develop a method to convert between bases so the basic vector operations such as addition and subtraction can be performed. One way to express u, v, w in terms of p, q, r is to use column matrices along with a direction cosine matrix containing the information that relates the two bases. Such an expression can be formed by substitution of the above equations to form u = ( p e 1 + q e 2 + r e 3 ) ⋅ n 1 , v = ( p e 1 + q e 2 + r e 3 ) ⋅ n 2 , w = ( p e 1 + q e 2 + r e 3 ) ⋅ n 3 . {\displaystyle {\begin{aligned}u&=(p\mathbf {e} _{1}+q\mathbf {e} _{2}+r\mathbf {e} _{3})\cdot \mathbf {n} _{1},\\v&=(p\mathbf {e} _{1}+q\mathbf {e} _{2}+r\mathbf {e} _{3})\cdot \mathbf {n} _{2},\\w&=(p\mathbf {e} _{1}+q\mathbf {e} _{2}+r\mathbf {e} _{3})\cdot \mathbf {n} _{3}.\end{aligned}}} Distributing the dot-multiplication gives u = p e 1 ⋅ n 1 + q e 2 ⋅ n 1 + r e 3 ⋅ n 1 , v = p e 1 ⋅ n 2 + q e 2 ⋅ n 2 + r e 3 ⋅ n 2 , w = p e 1 ⋅ n 3 + q e 2 ⋅ n 3 + r e 3 ⋅ n 3 . {\displaystyle {\begin{aligned}u&=p\mathbf {e} _{1}\cdot \mathbf {n} _{1}+q\mathbf {e} _{2}\cdot \mathbf {n} _{1}+r\mathbf {e} _{3}\cdot \mathbf {n} _{1},\\v&=p\mathbf {e} _{1}\cdot \mathbf {n} _{2}+q\mathbf {e} _{2}\cdot \mathbf {n} _{2}+r\mathbf {e} _{3}\cdot \mathbf {n} _{2},\\w&=p\mathbf {e} _{1}\cdot \mathbf {n} _{3}+q\mathbf {e} _{2}\cdot \mathbf {n} _{3}+r\mathbf {e} _{3}\cdot \mathbf {n} _{3}.\end{aligned}}} Replacing each dot product with a unique scalar gives u = c 11 p + c 12 q + c 13 r , v = c 21 p + c 22 q + c 23 r , w = c 31 p + c 32 q + c 33 r , {\displaystyle {\begin{aligned}u&=c_{11}p+c_{12}q+c_{13}r,\\v&=c_{21}p+c_{22}q+c_{23}r,\\w&=c_{31}p+c_{32}q+c_{33}r,\end{aligned}}} and these equations can be expressed as the single matrix equation [ u v w ] = [ c 11 c 12 c 13 c 21 c 22 c 23 c 31 c 32 c 33 ] [ p q r ] . {\displaystyle {\begin{bmatrix}u\\v\\w\\\end{bmatrix}}={\begin{bmatrix}c_{11}&c_{12}&c_{13}\\c_{21}&c_{22}&c_{23}\\c_{31}&c_{32}&c_{33}\end{bmatrix}}{\begin{bmatrix}p\\q\\r\end{bmatrix}}.} This matrix equation relates the scalar components of a in the n basis (u,v, and w) with those in the e basis (p, q, and r). Each matrix element cjk is the direction cosine relating nj to ek. The term direction cosine refers to the cosine of the angle between two unit vectors, which is also equal to their dot product. Therefore, c 11 = n 1 ⋅ e 1 c 12 = n 1 ⋅ e 2 c 13 = n 1 ⋅ e 3 c 21 = n 2 ⋅ e 1 c 22 = n 2 ⋅ e 2 c 23 = n 2 ⋅ e 3 c 31 = n 3 ⋅ e 1 c 32 = n 3 ⋅ e 2 c 33 = n 3 ⋅ e 3 {\displaystyle {\begin{aligned}c_{11}&=\mathbf {n} _{1}\cdot \mathbf {e} _{1}\\c_{12}&=\mathbf {n} _{1}\cdot \mathbf {e} _{2}\\c_{13}&=\mathbf {n} _{1}\cdot \mathbf {e} _{3}\\c_{21}&=\mathbf {n} _{2}\cdot \mathbf {e} _{1}\\c_{22}&=\mathbf {n} _{2}\cdot \mathbf {e} _{2}\\c_{23}&=\mathbf {n} _{2}\cdot \mathbf {e} _{3}\\c_{31}&=\mathbf {n} _{3}\cdot \mathbf {e} _{1}\\c_{32}&=\mathbf {n} _{3}\cdot \mathbf {e} _{2}\\c_{33}&=\mathbf {n} _{3}\cdot \mathbf {e} _{3}\end{aligned}}} By referring collectively to e1, e2, e3 as the e basis and to n1, n2, n3 as the n basis, the matrix containing all the cjk is known as the "transformation matrix from e to n", or the "rotation matrix from e to n" (because it can be imagined as the "rotation" of a vector from one basis to another), or the "direction cosine matrix from e to n" (because it contains direction cosines). The properties of a rotation matrix are such that its inverse is equal to its transpose. This means that the "rotation matrix from e to n" is the transpose of "rotation matrix from n to e". The properties of a direction cosine matrix, C are: The advantage of this method is that a direction cosine matrix can usually be obtained independently by using Euler angles or a quaternion to relate the two vector bases, so the basis conversions can be performed directly, without having to work out all the dot products described above. By applying several matrix multiplications in succession, any vector can be expressed in any basis so long as the set of direction cosines is known relating the successive bases. With the exception of the cross and triple products, the above formulae generalise to two dimensions and higher dimensions. For example, addition generalises to two dimensions as ( a 1 e 1 + a 2 e 2 ) + ( b 1 e 1 + b 2 e 2 ) = ( a 1 + b 1 ) e 1 + ( a 2 + b 2 ) e 2 , {\displaystyle (a_{1}{\mathbf {e} }_{1}+a_{2}{\mathbf {e} }_{2})+(b_{1}{\mathbf {e} }_{1}+b_{2}{\mathbf {e} }_{2})=(a_{1}+b_{1}){\mathbf {e} }_{1}+(a_{2}+b_{2}){\mathbf {e} }_{2},} and in four dimensions as ( a 1 e 1 + a 2 e 2 + a 3 e 3 + a 4 e 4 ) + ( b 1 e 1 + b 2 e 2 + b 3 e 3 + b 4 e 4 ) = ( a 1 + b 1 ) e 1 + ( a 2 + b 2 ) e 2 + ( a 3 + b 3 ) e 3 + ( a 4 + b 4 ) e 4 . {\displaystyle {\begin{aligned}(a_{1}{\mathbf {e} }_{1}+a_{2}{\mathbf {e} }_{2}+a_{3}{\mathbf {e} }_{3}+a_{4}{\mathbf {e} }_{4})&+(b_{1}{\mathbf {e} }_{1}+b_{2}{\mathbf {e} }_{2}+b_{3}{\mathbf {e} }_{3}+b_{4}{\mathbf {e} }_{4})=\\(a_{1}+b_{1}){\mathbf {e} }_{1}+(a_{2}+b_{2}){\mathbf {e} }_{2}&+(a_{3}+b_{3}){\mathbf {e} }_{3}+(a_{4}+b_{4}){\mathbf {e} }_{4}.\end{aligned}}} The cross product does not readily generalise to other dimensions, though the closely related exterior product does, whose result is a bivector. In two dimensions this is simply a pseudoscalar ( a 1 e 1 + a 2 e 2 ) ∧ ( b 1 e 1 + b 2 e 2 ) = ( a 1 b 2 − a 2 b 1 ) e 1 e 2 . {\displaystyle (a_{1}{\mathbf {e} }_{1}+a_{2}{\mathbf {e} }_{2})\wedge (b_{1}{\mathbf {e} }_{1}+b_{2}{\mathbf {e} }_{2})=(a_{1}b_{2}-a_{2}b_{1})\mathbf {e} _{1}\mathbf {e} _{2}.} A seven-dimensional cross product is similar to the cross product in that its result is a vector orthogonal to the two arguments; there is however no natural way of selecting one of the possible such products. Physics Vectors have many uses in physics and other sciences. In abstract vector spaces, the length of the arrow depends on a dimensionless scale. If it represents, for example, a force, the "scale" is of physical dimension length/force. Thus there is typically consistency in scale among quantities of the same dimension, but otherwise scale ratios may vary; for example, if "1 newton" and "5 m" are both represented with an arrow of 2 cm, the scales are 1 m:50 N and 1:250 respectively. Equal length of vectors of different dimension has no particular significance unless there is some proportionality constant inherent in the system that the diagram represents. Also length of a unit vector (of dimension length, not length/force, etc.) has no coordinate-system-invariant significance. Often in areas of physics and mathematics, a vector evolves in time, meaning that it depends on a time parameter t. For instance, if r represents the position vector of a particle, then r(t) gives a parametric representation of the trajectory of the particle. Vector-valued functions can be differentiated and integrated by differentiating or integrating the components of the vector, and many of the familiar rules from calculus continue to hold for the derivative and integral of vector-valued functions. The position of a point x = (x1, x2, x3) in three-dimensional space can be represented as a position vector whose base point is the origin x = x 1 e 1 + x 2 e 2 + x 3 e 3 . {\displaystyle {\mathbf {x} }=x_{1}{\mathbf {e} }_{1}+x_{2}{\mathbf {e} }_{2}+x_{3}{\mathbf {e} }_{3}.} The position vector has dimensions of length. Given two points x = (x1, x2, x3), y = (y1, y2, y3) their displacement is a vector y − x = ( y 1 − x 1 ) e 1 + ( y 2 − x 2 ) e 2 + ( y 3 − x 3 ) e 3 . {\displaystyle {\mathbf {y} }-{\mathbf {x} }=(y_{1}-x_{1}){\mathbf {e} }_{1}+(y_{2}-x_{2}){\mathbf {e} }_{2}+(y_{3}-x_{3}){\mathbf {e} }_{3}.} which specifies the position of y relative to x. The length of this vector gives the straight-line distance from x to y. Displacement has the dimensions of length. The velocity v of a point or particle is a vector, its length gives the speed. For constant velocity the position at time t will be x t = t v + x 0 , {\displaystyle {\mathbf {x} }_{t}=t{\mathbf {v} }+{\mathbf {x} }_{0},} where x0 is the position at time t = 0. Velocity is the time derivative of position. Its dimensions are length/time. Acceleration a of a point is vector which is the time derivative of velocity. Its dimensions are length/time2. Force is a vector with dimensions of mass×length/time2 (N m s −2) and Newton's second law is the scalar multiplication F = m a {\displaystyle {\mathbf {F} }=m{\mathbf {a} }} Work is the dot product of force and displacement W = F ⋅ ( x 2 − x 1 ) . {\displaystyle W={\mathbf {F} }\cdot ({\mathbf {x} }_{2}-{\mathbf {x} }_{1}).} Vectors, pseudovectors, and transformations An alternative characterization of Euclidean vectors, especially in physics, describes them as lists of quantities which behave in a certain way under a coordinate transformation. A contravariant vector is required to have components that "transform opposite to the basis" under changes of basis. The vector itself does not change when the basis is transformed; instead, the components of the vector make a change that cancels the change in the basis. In other words, if the reference axes (and the basis derived from it) were rotated in one direction, the component representation of the vector would rotate in the opposite way to generate the same final vector. Similarly, if the reference axes were stretched in one direction, the components of the vector would reduce in an exactly compensating way. Mathematically, if the basis undergoes a transformation described by an invertible matrix M, so that a coordinate vector x is transformed to x′ = Mx, then a contravariant vector v must be similarly transformed via v′ = M − 1 {\displaystyle ^{-1}} v. This important requirement is what distinguishes a contravariant vector from any other triple of physically meaningful quantities. For example, if v consists of the x, y, and z-components of velocity, then v is a contravariant vector: if the coordinates of space are stretched, rotated, or twisted, then the components of the velocity transform in the same way. On the other hand, for instance, a triple consisting of the length, width, and height of a rectangular box could make up the three components of an abstract vector, but this vector would not be contravariant, since rotating the box does not change the box's length, width, and height. Examples of contravariant vectors include displacement, velocity, electric field, momentum, force, and acceleration. In the language of differential geometry, the requirement that the components of a vector transform according to the same matrix of the coordinate transition is equivalent to defining a contravariant vector to be a tensor of contravariant rank one. Alternatively, a contravariant vector is defined to be a tangent vector, and the rules for transforming a contravariant vector follow from the chain rule. Some vectors transform like contravariant vectors, except that when they are reflected through a mirror, they flip and gain a minus sign. A transformation that switches right-handedness to left-handedness and vice versa like a mirror does is said to change the orientation of space. A vector which gains a minus sign when the orientation of space changes is called a pseudovector or an axial vector. Ordinary vectors are sometimes called true vectors or polar vectors to distinguish them from pseudovectors. Pseudovectors occur most frequently as the cross product of two ordinary vectors. One example of a pseudovector is angular velocity. Driving in a car, and looking forward, each of the wheels has an angular velocity vector pointing to the left. If the world is reflected in a mirror which switches the left and right side of the car, the reflection of this angular velocity vector points to the right, but the actual angular velocity vector of the wheel still points to the left, corresponding to the minus sign. Other examples of pseudovectors include magnetic field, torque, or more generally any cross product of two (true) vectors. This distinction between vectors and pseudovectors is often ignored, but it becomes important in studying symmetry properties. See also Notes References External links |
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[SOURCE: https://en.wikipedia.org/wiki/Hellenistic_period] | [TOKENS: 21997] |
Contents Hellenistic period In classical antiquity, the Hellenistic period covers the time in Greek, Eastern Mediterranean and Middle Eastern history following Classical Greece, between the death of Alexander the Great in 323 BC and the death of Cleopatra VII in 30 BC, in which all these regions were under the influence of Greek leadership, culture, and language as a result of Alexander's conquests. The Hellenistic period was followed by the ascendancy of the Roman Empire in the Mediterranean, the Battle of Actium in 31 BC, and the Roman conquest of Ptolemaic Egypt the following year, which eliminated the last major Hellenistic kingdom. Its name stems from the Ancient Greek word Hellas (Ἑλλάς, Hellás), which was gradually recognized as the name for Greece, from which the modern historiographical term Hellenistic was derived. The term "Hellenistic" is to be distinguished from "Hellenic" in that the latter refers to Greece itself, while the former encompasses all the ancient territories of the period that had come under significant Greek influence, particularly the Hellenized Ancient Near East, after the conquests of Alexander the Great. After the Macedonian conquest of the Achaemenid Empire in 330 BC and its disintegration shortly thereafter in the Partition of Babylon and subsequent Wars of the Diadochi, Hellenistic kingdoms were established throughout West Asia (Seleucid Empire, Kingdom of Pergamon), Northeast Africa (Ptolemaic Kingdom) and South Asia (Greco-Bactrian Kingdom, Indo-Greek Kingdom). This resulted in an influx of Greek colonists and the export of Greek culture and language to these new realms, a breadth spanning as far as modern-day India. These new Greek kingdoms were also influenced by regional indigenous cultures, adopting local practices which were deemed beneficial, necessary, or convenient. Hellenistic culture thus represents a fusion of the ancient Greek world with that of the Western Asian, Northeastern African, and Southwestern Asian worlds. The consequence of this mixture gave rise to a common Attic-based Greek dialect, known as Koine Greek, which became the lingua franca throughout the ancient world. During the Hellenistic period, Greek cultural influence reached its peak in the Mediterranean and beyond. Prosperity and progress in the arts, literature, theatre, architecture, music, mathematics, philosophy, and science characterize the era. The Hellenistic period saw the rise of New Comedy, Alexandrian poetry, translation efforts such as the Septuagint, and the philosophies of Stoicism, Epicureanism, and Pyrrhonism. In science, the works of the mathematician Euclid and the polymath Archimedes are exemplary. Sculpture during this period was characterized by intense emotion and dynamic movement, as seen in sculptural works like the Dying Gaul and the Venus de Milo. A form of Hellenistic architecture arose which especially emphasized the building of grand monuments and ornate decorations, as exemplified by structures such as the Pergamon Altar. The religious sphere of Greek religion expanded through syncretic facets to include new gods such as the Greco-Egyptian Serapis, eastern deities such as Attis and Cybele, and a syncretism between Hellenistic culture and Buddhism in Bactria and Northwest India. Scholars and historians are divided as to which event signals the end of the Hellenistic era. There is a wide chronological range of proposed dates that have included the final conquest of the Greek heartlands by the expansionist Roman Republic in 146 BC following the Achaean War, the final defeat of the Ptolemaic Kingdom at the Battle of Actium in 31 BC, the end of the reign of the Roman emperor Hadrian in AD 138, and the move by the emperor Constantine the Great of the capital of the Roman Empire to Constantinople in AD 330. Though this scope of suggested dates demonstrates a range of academic opinion, a generally accepted date by most of scholarship has been that of 31/30 BC. Etymology The word originated from Ancient Greek Ἑλληνιστής (Hellēnistḗs, "one who uses the Greek language"), from Ἑλλάς (Hellás, "Greece"); as if "Hellenist" + "ic". The idea of a Hellenistic period is a 19th-century concept, and did not exist in ancient Greece. Although words related in form or meaning, e.g. Hellenist (Ancient Greek: Ἑλληνιστής, Hellēnistēs), have been attested since ancient times, it has been attributed to the 19th-century German historian Johann Gustav Droysen, who in his classic work Geschichte des Hellenismus (History of Hellenism), coined the term Hellenistic to refer to and define the period when Greek culture spread in the non-Greek world after Alexander's conquest. Following Droysen, Hellenistic and related terms, e.g. Hellenism, have been widely used in various contexts; a notable such use is in Culture and Anarchy by Matthew Arnold, where Hellenism is used in contrast with Hebraism. The major issue with the term Hellenistic lies in its convenience, as the spread of Greek culture was not the generalized phenomenon that the term implies. Some areas of the conquered world were more affected by Greek influences than others. The term Hellenistic also implies that the Greek populations were of majority in the areas in which they settled, but in many cases, the Greek settlers were actually the minority among the native populations. The Greek population and the native population did not always mix; the Greeks moved and brought their own culture, but interaction did not always occur.[citation needed] Sources While a few fragments exist, there are no complete surviving historical works that date to the hundred years following Alexander's death. The works of the major Hellenistic historians Hieronymus of Cardia (who worked under Alexander, Antigonus I and other successors), Duris of Samos and Phylarchus, which were used by surviving sources, are all lost. The earliest and most credible surviving source for the Hellenistic period is Polybius of Megalopolis (c. 200–118), a statesman of the Achaean League until 168 BC when he was forced to go to Rome as a hostage. His Histories eventually grew to a length of forty books, covering the years 220 to 167 BC. The most important source after Polybius is Diodorus Siculus who wrote his Bibliotheca historica between 60 and 30 BC and reproduced some important earlier sources such as Hieronymus, but his account of the Hellenistic period breaks off after the battle of Ipsus (301 BC). Another important source, Plutarch's (c. AD 50 – c. 120) Parallel Lives although more preoccupied with issues of personal character and morality, outlines the history of important Hellenistic figures. Appian of Alexandria (late 1st century AD–before 165) wrote a history of the Roman Empire that includes information of some Hellenistic kingdoms.[citation needed] Other sources include Justin's (2nd century AD) epitome of Pompeius Trogus' Historiae Philipicae and a summary of Arrian's Events after Alexander, by Photios I of Constantinople. Lesser supplementary sources include Curtius Rufus, Pausanias, Pliny, and the Byzantine encyclopedia the Suda. In the field of philosophy, Diogenes Laërtius' Lives and Opinions of Eminent Philosophers is the main source; works such as Cicero's De Natura Deorum also provide some further detail of philosophical schools in the Hellenistic period.[citation needed] Inscriptions on stone or metal were commonly erected throughout the Greek world for public display, a practice which originated well before the time of Alexander the Great, but saw substantial expansion during the Hellenistic Period. The majority of these inscriptions are located on the Greek mainland, the Greek islands, and western Asia Minor. While they become increasingly rare towards the eastern regions, they are not entirely absent there, and they are most notably featured in public buildings and sanctuaries. The content of these inscriptions is diverse, encompassing royal correspondence addressed to cities or individuals, municipal and legal edicts, decrees commemorating rulers, officials, and individuals for their contributions, as well as laws, treaties, religious rulings, and dedications. Despite challenges in their interpretation, inscriptions are often the only source available for understanding numerous events in Greek history.p:7-8 Papyrus served as the predominant medium for handwritten documents across the Hellenistic world, though its production was confined to Egypt. Due to Egypt's arid climate, papyrus manuscripts were almost exclusively preserved there as well. That being said, the different historical periods are not represented equally in the papyrological documents. Texts from the reign of Ptolemy I are notably scarce, while those from the reign of Ptolemy II are more frequently encountered, this is owing in part to the large quantities of papyri which were stuffed into human and animal mummies during his rule. Papyri have been classified into public and private documents, including literary texts, laws and regulations, official correspondence, petitions, records, and archives or collections of documents belonging to individuals of position and authority. Significant information about the Ptolemaic Kingdom, which might otherwise have been lost, has been preserved in papyrological documents. This is particularly noteworthy given the limited documentation available for their Seleucid counterparts.p:8-9 Background Ancient Greece was a patchwork of independent city-states and kingdoms. After the Peloponnesian War (431-404 BC), Sparta held a hegemony that was later displaced by Thebes following the Battle of Leuctra (371 BC). The indecisive outcome at the Battle of Mantinea (362 BC) left the Greek world fragmented, creating conditions in which the northern Greek kingdom of Macedon rose to predominance under king Philip II. Macedon lay on the geographical periphery of the Greek world. Some contemporaries in the southern poleis disparaged it as less urbanised, although the royal Argead dynasty traced Greek descent. The kingdom controlled a large territory and possessed a comparatively strong centralised monarchy, unlike most poleis. Philip II pursued expansion wherever opportunity allowed. In 352 BC he annexed Thessaly and Magnesia. In 338 BC he defeated a combined Theban and Athenian army at the Battle of Chaeronea after a decade of intermittent conflict. In the aftermath Philip formed the League of Corinth, bringing most of Greece under his leadership. He was elected Hegemon of the League, and a campaign against the Achaemenid Empire was planned. In 336 BC, while preparations were under way, he was assassinated. Succeeding his father, Alexander took command of the Persian war. Over a decade of campaigning he overthrew the Achaemenid Empire and the king Darius III. The conquered lands included Asia Minor, Assyria, the Levant, Egypt, Mesopotamia, Media, Persia, and parts of modern Afghanistan, Pakistan, and the central Asian steppes. The strain of continuous campaigning was severe, and Alexander died in 323 BC. After his death, the territories he had conquered experienced sustained Greek cultural influence (Hellenisation) for the next two or three centuries, until the rise of the Roman Empire in the west and the Parthian Empire in the east. As Greek and Levantine cultures interacted, a hybrid Hellenistic culture developed and persisted even when far from the principal Greek centres, for example in the Greco-Bactrian kingdom. Scholars note that not all changes across the former empire can be attributed solely to Greek rule. As Peter Green observes, diverse phenomena of conquest are often grouped under the term Hellenistic period. In several regions, including Egypt and parts of Asia Minor and Mesopotamia, Alexander was sometimes received as a liberator rather than as a mere conqueror. In the subsequent era, much of the area continued under the Diadochi, Alexander’s generals and successors. The empire was initially divided among them, though some territories were quickly lost or only nominally acknowledged Macedonian authority. After about two centuries, the remaining successor states were much reduced, culminating in the Roman conquest of Ptolemaic Egypt. The Diadochi When Alexander the Great died (10 June 323 BC), he left behind a sprawling empire that was composed of many essentially autonomous territories called satrapies. Without a chosen successor, there were immediate disputes among his generals as to who should be king of Macedon. These generals became known as the Diadochi (Ancient Greek: Διάδοχοι, Diadokhoi, meaning "Successors"). Meleager and the infantry supported the candidacy of Alexander's half-brother, Philip Arrhidaeus, while Perdiccas, the leading cavalry commander, supported waiting until the birth of Alexander's child by Roxana. After the infantry stormed the palace of Babylon, a compromise was arranged – Arrhidaeus (as Philip III) should become king and should rule jointly with Roxana's child, assuming that it was a boy (as it was, becoming Alexander IV). Perdiccas himself would become regent (epimeletes) of the empire, and Meleager his lieutenant. Soon, however, Perdiccas had Meleager and the other infantry leaders murdered and assumed full control. The generals who had supported Perdiccas were rewarded in the partition of Babylon by becoming satraps of the various parts of the empire, but Perdiccas' position was shaky because, as Arrian writes, "everyone was suspicious of him, and he of them". The first of the Diadochi wars broke out when Perdiccas planned to marry Alexander's sister Cleopatra and began to question Antigonus I Monophthalmus' leadership in Asia Minor. Antigonus fled for Greece, and then, together with Antipater and Craterus (the satrap of Cilicia who had been in Greece fighting the Lamian war) invaded Anatolia. The rebels were supported by Lysimachus, the satrap of Thrace and Ptolemy, the satrap of Egypt. Although Eumenes, satrap of Cappadocia, defeated the rebels in Asia Minor, Perdiccas himself was murdered by his own generals Peithon, Seleucus, and Antigenes (possibly with Ptolemy's aid) during his invasion of Egypt (c. 21 May to 19 June, 320 BC). Ptolemy came to terms with Perdiccas's murderers, making Peithon and Arrhidaeus regents in his place, but soon these came to a new agreement with Antipater at the Treaty of Triparadisus. Antipater was made regent of the Empire, and the two kings were moved to Macedon. Antigonus remained in charge of Asia Minor, Ptolemy retained Egypt, Lysimachus retained Thrace and Seleucus I controlled Babylon. The second Diadochi war began following the death of Antipater in 319 BC. Passing over his own son, Cassander, Antipater had declared Polyperchon his successor as Regent. Cassander rose in revolt against Polyperchon (who was joined by Eumenes) and was supported by Antigonus, Lysimachus and Ptolemy. In 317 BC, Cassander invaded Macedonia, attaining control of Macedon, sentencing Olympias to death and capturing the boy king Alexander IV, and his mother. In Asia, Eumenes was betrayed by his own men after years of campaign and was given up to Antigonus who had him executed. The third war of the Diadochi broke out because of the growing power and ambition of Antigonus. He began removing and appointing satraps as if he were king and also raided the royal treasuries in Ecbatana, Persepolis and Susa, making off with 25,000 talents. Seleucus was forced to flee to Egypt and Antigonus was soon at war with Ptolemy, Lysimachus, and Cassander. He then invaded Phoenicia, laid siege to Tyre, stormed Gaza and began building a fleet. Ptolemy invaded Syria and defeated Antigonus' son, Demetrius Poliorcetes, in the Battle of Gaza of 312 BC which allowed Seleucus to secure control of Babylonia, and the eastern satrapies. In 310 BC, Cassander had young King Alexander IV and his mother Roxana murdered, ending the Argead dynasty which had ruled Macedon for several centuries. Antigonus then sent his son Demetrius to regain control of Greece. In 307 BC he took Athens, expelling Demetrius of Phaleron, Cassander's governor, and proclaiming the city free again. Demetrius now turned his attention to Ptolemy, defeating his fleet at the Battle of Salamis and taking control of Cyprus. In the aftermath of this victory, Antigonus took the title of king (basileus) and bestowed it on his son Demetrius Poliorcetes, the rest of the Diadochi soon followed suit. Demetrius continued his campaigns by laying siege to Rhodes and conquering most of Greece in 302 BC, creating a league against Cassander's Macedon. The decisive engagement of the war came when Lysimachus invaded and overran much of western Anatolia, but was soon isolated by Antigonus and Demetrius near Ipsus in Phrygia. Seleucus arrived in time to save Lysimachus and utterly crushed Antigonus at the Battle of Ipsus in 301 BC. Seleucus' war elephants proved decisive; Antigonus was killed, and Demetrius fled back to Greece to attempt to preserve the remnants of his rule, thereby recapturing a rebellious Athens. Meanwhile, Lysimachus took over Ionia, Seleucus took Cilicia, and Ptolemy captured Cyprus. After Cassander's death in c. 298 BC, however, Demetrius, who still maintained a sizable loyal army and fleet, invaded Macedon, seized the Macedonian throne (294 BC) and conquered Thessaly and most of central Greece (293–291 BC). He was defeated in 288 BC when Lysimachus of Thrace and Pyrrhus of Epirus invaded Macedon on two fronts, and quickly carved up the kingdom for themselves. Demetrius fled to central Greece with his mercenaries and began to build support there and in the northern Peloponnese. He once again laid siege to Athens after they turned on him, but then struck a treaty with the Athenians and Ptolemy, which allowed him to cross over to Asia Minor and wage war on Lysimachus' holdings in Ionia, leaving his son Antigonus Gonatas in Greece. After initial successes, he was forced to surrender to Seleucus in 285 BC and later died in captivity. Lysimachus, who had seized Macedon and Thessaly for himself, was forced into war when Seleucus invaded his territories in Asia Minor and was defeated and killed in 281 BC at the Battle of Corupedium, near Sardis. Seleucus then attempted to conquer Lysimachus' European territories in Thrace and Macedon, but he was assassinated by Ptolemy Ceraunus ("the thunderbolt"), who had taken refuge at the Seleucid court and then had himself acclaimed as king of Macedon. Ptolemy was killed when Macedon was invaded by Gauls in 279 BC—his head stuck on a spear—and the country fell into anarchy. Antigonus II Gonatas invaded Thrace in the summer of 277 and defeated a large force of 18,000 Gauls. He was quickly hailed as king of Macedon and went on to rule for 35 years. At this point the tripartite territorial division of the Hellenistic age was in place, with the main Hellenistic powers being Macedon under Demetrius's son Antigonus II Gonatas, the Ptolemaic kingdom under Ptolemy's son Ptolemy II and the Seleucid empire under Seleucus' son Antiochus I Soter. Southern Europe Epirus was a northwestern Greek kingdom in the western Balkans ruled by the Molossian Aeacidae dynasty. Epirus was an ally of Macedon during the reigns of Philip II and Alexander. In 281 Pyrrhus (nicknamed "the eagle", aetos) invaded southern Italy to aid the city state of Tarentum. Pyrrhus defeated the Romans in the Battle of Heraclea and at the Battle of Asculum. Though victorious, he was forced to retreat due to heavy losses, hence the term "Pyrrhic victory". Pyrrhus then turned south and invaded Sicily but was unsuccessful and returned to Italy. After the Battle of Beneventum (275 BC) Pyrrhus lost all his Italian holdings and left for Epirus. Pyrrhus then went to war with Macedonia in 275 BC, deposing Antigonus II Gonatas and briefly ruling over Macedonia and Thessaly until 272. Afterwards, he invaded southern Greece and was killed in battle against Argos in 272 BC. After the death of Pyrrhus, Epirus remained a minor power. In 233 BC the Aeacid royal family was deposed and a federal state was set up called the Epirote League. The league was conquered by Rome in the Third Macedonian War (171–168 BC). Antigonus II, a student of Zeno of Citium, spent most of his rule defending Macedon against Epirus and cementing Macedonian power in Greece, first against the Athenians in the Chremonidean War, and then against the Achaean League of Aratus of Sicyon. Under the Antigonids, Macedonia was often short on funds, the Pangaeum mines were no longer as productive as under Philip II, the wealth from Alexander's campaigns had been used up and the countryside pillaged by the Gallic invasion. A large number of the Macedonian population had also been resettled abroad by Alexander or had chosen to emigrate to the new eastern Greek cities. Up to two-thirds of the population emigrated, and the Macedonian army could only count on a levy of 25,000 men, a significantly smaller force than under Philip II. Antigonus II ruled until his death in 239 BC. His son Demetrius II soon died in 229 BC, leaving a child (Philip V) as king, with the general Antigonus Doson as regent. Doson led Macedon to victory in the war against the Spartan king Cleomenes III, and occupied Sparta. Philip V, who came to power when Doson died in 221 BC, was the last Macedonian ruler with both the talent and the opportunity to unite Greece and preserve its independence against the "cloud rising in the west": the ever-increasing power of Rome. He was known as "the darling of Hellas". Under his auspices the Peace of Naupactus (217 BC) brought the latest war between Macedon and the Greek leagues (the Social War of 220–217 BC) to an end, and at this time he controlled all of Greece except Athens, Rhodes and Pergamum. In 215 BC Philip, with his eye on Illyria, formed an alliance with Rome's enemy Hannibal of Carthage, which led to Roman alliances with the Achaean League, Rhodes and Pergamum. The First Macedonian War broke out in 212 BC, and ended inconclusively in 205 BC. Philip continued to wage war against Pergamum and Rhodes for control of the Aegean (204–200 BC) and ignored Roman demands for non-intervention in Greece by invading Attica. In 198 BC, during the Second Macedonian War Philip was decisively defeated at Cynoscephalae by the Roman proconsul Titus Quinctius Flamininus and Macedon lost all its territories in Greece proper. Southern Greece was now thoroughly brought into the Roman sphere of influence, though it retained nominal autonomy. The end of Antigonid Macedon came when Philip V's son, Perseus, was defeated and captured by the Romans in the Third Macedonian War (171–168 BC). During the Hellenistic period, the importance of Greece proper within the Greek-speaking world declined sharply. The great centers of Hellenistic culture were Alexandria and Antioch, capitals of Ptolemaic Egypt and Seleucid Syria respectively. The conquests of Alexander greatly widened the horizons of the Greek world, making the endless conflicts between the cities that had marked the 5th and 4th centuries BC seem petty and unimportant. It led to a steady emigration, particularly of the young and ambitious, to the new Greek empires in the east. Many Greeks migrated to Alexandria, Antioch, and the many other new Hellenistic cities founded in Alexander's wake, as far away as modern Afghanistan and Pakistan. Independent city states were unable to compete with Hellenistic kingdoms and were usually forced to ally themselves to one of them for defense, giving honors to Hellenistic rulers in return for protection. One example is Athens, which had been decisively defeated by Antipater in the Lamian war (323–322 BC) and had its port in the Piraeus garrisoned by Macedonian troops who supported a conservative oligarchy. After Demetrius Poliorcetes captured Athens in 307 BC and restored the democracy, the Athenians honored him and his father Antigonus by placing gold statues of them on the agora and granting them the title of king. Athens later allied itself to Ptolemaic Egypt to throw off Macedonian rule, eventually setting up a religious cult for the Ptolemaic kings and naming one of the city's phyles in honour of Ptolemy for his aid against Macedon. In spite of the Ptolemaic monies and fleets backing their endeavors, Athens and Sparta were defeated by Antigonus II during the Chremonidean War (267–261 BC). Athens was then occupied by Macedonian troops, and run by Macedonian officials. Sparta remained independent, but it was no longer the leading military power in the Peloponnese. The Spartan king Cleomenes III (235–222 BC) staged a military coup against the conservative ephors and pushed through radical social and land reforms in order to increase the size of the shrinking Spartan citizenry able to provide military service and restore Spartan power. Sparta's bid for supremacy was crushed at the Battle of Sellasia (222 BC) by the Achaean league and Macedon, who restored the power of the ephors. Other city states formed federated states in self-defense, such as the Aetolian League (est. 370 BC), the Achaean League (est. 280 BC), the Boeotian league, the "Northern League" (Byzantium, Chalcedon, Heraclea Pontica and Tium) and the "Nesiotic League" of the Cyclades. These federations involved a central government which controlled foreign policy and military affairs, while leaving most of the local governing to the city states, a system termed sympoliteia. In states such as the Achaean league, this also involved the admission of other ethnic groups into the federation with equal rights, in this case, non-Achaeans. The Achean league was able to drive out the Macedonians from the Peloponnese and free Corinth, which duly joined the league. One of the few city states who managed to maintain full independence from the control of any Hellenistic kingdom was Rhodes. With a skilled navy to protect its trade fleets from pirates and an ideal strategic position covering the routes from the east into the Aegean, Rhodes prospered during the Hellenistic period. It became a center of culture and commerce, its coins were widely circulated and its philosophical schools became one of the best in the Mediterranean. After holding out for one year under siege by Demetrius Poliorcetes (305–304 BC), the Rhodians built the Colossus of Rhodes to commemorate their victory. They retained their independence by the maintenance of a powerful navy, by maintaining a carefully neutral posture and acting to preserve the balance of power between the major Hellenistic kingdoms. Initially, Rhodes had very close ties with the Ptolemaic kingdom. Rhodes later became a Roman ally against the Seleucids, receiving some territory in Caria for their role in the Roman–Seleucid War (192–188 BC). The west Balkan coast was inhabited by various Illyrian tribes and kingdoms such as the kingdom of the Dalmatae and of the Ardiaei, who often engaged in piracy under Queen Teuta (reigned 231–227 BC). Further inland was the Illyrian Paeonian Kingdom and the tribe of the Agrianes. Illyrians on the coast of the Adriatic were under the effects and influence of Hellenisation and some tribes adopted Greek, becoming bilingual due to their proximity to the Greek colonies in Illyria. Illyrians imported weapons and armor from the ancient Greeks (such as the Illyrian type helmet, originally a Greek type) and also adopted the ornamentation of ancient Macedon on their shields and their war belts (a single one has been found, dated 3rd century BC at modern Selcë e Poshtme, a part of Macedon at the time under Philip V of Macedon). The Odrysian Kingdom was a union of Thracian tribes under the kings of the powerful Odrysian tribe. Various parts of Thrace were under Macedonian rule under Philip II of Macedon, Alexander the Great, Lysimachus, Ptolemy II, and Philip V but were also often ruled by their own kings. The Thracians and Agrianes were widely used by Alexander as peltasts and light cavalry, forming about one-fifth of his army. The Diadochi also used Thracian mercenaries in their armies and they were also used as colonists. The Odrysians used Greek as the language of administration and of the nobility. The nobility also adopted Greek fashions in dress, ornament, and military equipment, spreading it to the other tribes. Thracian kings were among the first to be Hellenized. After 278 BC the Odrysians had a strong competitor in the Celtic Kingdom of Tylis ruled by the kings Comontorius and Cavarus, but in 212 BC they conquered their enemies and destroyed their capital. Southern Italy (Magna Graecia) and south-eastern Sicily had been colonized by the Greeks during the 8th century BC. In 4th-century BC Sicily the leading Greek city and hegemon was Syracuse. During the Hellenistic period the leading figure in Sicily was Agathocles of Syracuse (361–289 BC) who seized the city with an army of mercenaries in 317 BC. Agathocles extended his power throughout most of the Greek cities in Sicily, fought a long war with the Carthaginians, at one point invading Tunisia in 310 BC and defeating a Carthaginian army there. This was the first time a European force had invaded the region. After this war he controlled most of south-east Sicily and had himself proclaimed king, in imitation of the Hellenistic monarchs of the east. Agathocles then invaded Italy (c. 300 BC) in defense of Tarentum against the Bruttians and Romans, but was unsuccessful. Greeks in pre-Roman Gaul were mostly limited to the Mediterranean coast of Provence, France. The first Greek colony in the region was Massalia, which became one of the largest trading ports of Mediterranean by the 4th century BC with 6,000 inhabitants. Massalia was also the local hegemon, controlling various coastal Greek cities like Nice and Agde. The coins minted in Massalia have been found in all parts of Liguro-Celtic Gaul. Celtic coinage was influenced by Greek designs, and Greek letters can be found on various Celtic coins, especially those of Southern France. Traders from Massalia ventured inland deep into France on the Rivers Durance and Rhône, and established overland trade routes deep into Gaul, and to Switzerland and Burgundy. The Hellenistic period saw the Greek alphabet spread into southern Gaul from Massalia (3rd and 2nd centuries BC) and according to Strabo, Massalia was also a center of education, where Celts went to learn Greek. A staunch ally of Rome, Massalia retained its independence until it sided with Pompey in 49 BC and was then taken by Caesar's forces. The city of Emporion (modern Empúries), originally founded by Archaic-period settlers from Phocaea and Massalia in the 6th century BC near the village of Sant Martí d'Empúries (located on an offshore island that forms part of L'Escala, Catalonia, Spain), was reestablished in the 5th century BC with a new city (neapolis) on the Iberian mainland. Emporion contained a mixed population of Greek colonists and Iberian natives, and although Livy and Strabo assert that they lived in different quarters, these two groups were eventually integrated. The city became a dominant trading hub and center of Hellenistic civilization in Iberia, eventually siding with the Roman Republic against the Carthaginian Empire during the Second Punic War (218–201 BC). However, Emporion lost its political independence around 195 BC with the establishment of the Roman province of Hispania Citerior and by the 1st century BC had become fully Romanized in culture. Hellenistic Near East The Hellenistic states of Asia and Egypt were run by an occupying imperial elite of Greco-Macedonian administrators and governors propped up by a standing army of mercenaries and a small core of Greco-Macedonian settlers. Promotion of immigration from Greece was important in the establishment of this system. Hellenistic monarchs ran their kingdoms as royal estates and most of the heavy tax revenues went into the military and paramilitary forces which preserved their rule from any kind of revolution. Macedonian and Hellenistic monarchs were expected to lead their armies on the field, along with a group of privileged aristocratic companions or friends (hetairoi, philoi) which dined and drank with the king and acted as his advisory council. The monarch was also expected to serve as a charitable patron of the people; this public philanthropy could mean building projects and handing out gifts but also promotion of Greek culture and religion. Ptolemy, a somatophylax, one of the seven bodyguards who served as Alexander the Great's generals and deputies, was appointed satrap of Egypt after Alexander's death in 323 BC. In 305 BC, he declared himself King Ptolemy I, later known as "Soter" (saviour) for his role in helping the Rhodians during the siege of Rhodes. Ptolemy built new cities such as Ptolemais Hermiou in upper Egypt and settled his veterans throughout the country, especially in the region of the Faiyum. Alexandria, a major center of Greek culture and trade, became his capital city. As Egypt's first port city, it became the main grain exporter in the Mediterranean. The Egyptians begrudgingly accepted the Ptolemies as the successors to the pharaohs of independent Egypt, though the kingdom went through several native revolts. Ptolemy I began to order monetary contributions from the people and, as a result, rewarded cities with high contributions with royal benefaction. This often resulted in the formation of a royal cult within the city. Reservations about this activity slowly dissipated as this worship of mortals was justified by the precedent of the worshipping of Greek heroes. The Ptolemies took on the traditions of the Egyptian Pharaohs, such as marrying their siblings (Ptolemy II was the first to adopt this custom), having themselves portrayed on public monuments in Egyptian style and dress, and participating in Egyptian religious life. The Ptolemaic ruler cult portrayed the Ptolemies as gods, and temples to the Ptolemies were erected throughout the kingdom. Ptolemy I even created a new god, Serapis, who was a combination of two Egyptian gods: Apis and Osiris, with attributes of Greek gods. Ptolemaic administration was, like the ancient Egyptian bureaucracy, highly centralized and focused on squeezing as much revenue out of the population as possible through tariffs, excise duties, fines, taxes, and so forth. A whole class of petty officials, tax farmers, clerks, and overseers made this possible. The Egyptian countryside was directly administered by this royal bureaucracy. External possessions such as Cyprus and Cyrene were run by strategoi, military commanders appointed by the crown. Under Ptolemy II, Callimachus, Apollonius of Rhodes, Theocritus, and a host of other poets including the Alexandrian Pleiad made the city a center of Hellenistic literature. Ptolemy himself was eager to patronise the library, scientific research and individual scholars who lived on the grounds of the library. He and his successors also fought a series of wars with the Seleucids, known as the Syrian wars, over the region of Coele-Syria. Ptolemy IV won the great battle of Raphia (217 BC) against the Seleucids, using native Egyptians trained as phalangites. However these Egyptian soldiers revolted, eventually setting up a native breakaway Egyptian state in the Thebaid between 205 and 186/185 BC, severely weakening the Ptolemaic state. Ptolemy's family ruled Egypt until the Roman conquest of 30 BC. All the male rulers of the dynasty took the name Ptolemy. Ptolemaic queens, some of whom were the sisters of their husbands, were usually called Cleopatra, Arsinoe, or Berenice. The most famous member of the line was the last queen, Cleopatra VII, known for her role in the Roman political battles between Julius Caesar and Pompey, and later between Octavian and Mark Antony. Her suicide at the conquest by Rome marked the end of Ptolemaic rule in Egypt, though Hellenistic culture continued to thrive in Egypt throughout the Roman and Byzantine periods until the Muslim conquest. Following division of Alexander's empire, Seleucus I Nicator received Babylonia. From there, he created a new empire which expanded to include much of Alexander's Near Eastern territories. At the height of its power, it included central Anatolia, the Levant, Mesopotamia, Persia, today's Turkmenistan, Pamir, and parts of Pakistan. It included a diverse population estimated at fifty to sixty million people. Under Antiochus I (c. 324/323 – 261 BC), however, the unwieldy empire was already beginning to shed territories. Pergamum broke away under Eumenes I who defeated a Seleucid army sent against him. The kingdoms of Cappadocia, Bithynia and Pontus were all practically independent by this time as well. Like the Ptolemies, Antiochus I established a dynastic religious cult, deifying his father Seleucus I. Seleucus, officially said to be descended from Apollo, had his own priests and monthly sacrifices. The erosion of the empire continued under Seleucus II, who was forced to fight a civil war (239–236 BC) against his brother Antiochus Hierax and was unable to keep Bactria, Sogdiana and Parthia from breaking away. Hierax carved off most of Seleucid Anatolia for himself, but was defeated, along with his Galatian allies, by Attalus I of Pergamon who now also claimed kingship. The vast Seleucid Empire was, like Egypt, mostly dominated by a Greco-Macedonian political elite. The Greek population of the cities who formed the dominant elite were reinforced by emigration from Greece. These cities included newly founded colonies such as Antioch, the other cities of the Syrian tetrapolis, Seleucia (north of Babylon) and Dura-Europos on the Euphrates. These cities retained traditional Greek city state institutions such as assemblies, councils and elected magistrates, but this was a facade for they were always controlled by the royal Seleucid officials. Apart from these cities, there were also a large number of Seleucid garrisons (choria), military colonies (katoikiai) and Greek villages (komai) which the Seleucids planted throughout the empire to cement their rule. This 'Greco-Macedonian' population (which also included the sons of settlers who had married local women) could make up a phalanx of 35,000 men (out of a total Seleucid army of 80,000) during the reign of Antiochus III. The rest of the army was made up of native troops. Antiochus III ("the Great") conducted several vigorous campaigns to retake all the lost provinces of the empire since the death of Seleucus I. After being defeated by Ptolemy IV's forces at Raphia (217 BC), Antiochus III led a long campaign to the east to subdue the far eastern breakaway provinces (212–205 BC) including Bactria, Parthia, Ariana, Sogdiana, Gedrosia and Drangiana. He was successful, bringing back most of these provinces into at least nominal vassalage and receiving tribute from their rulers. After the death of Ptolemy IV (204 BC), Antiochus took advantage of the weakness of Egypt to conquer Coele-Syria in the fifth Syrian war (202–195 BC). He then began expanding his influence into Pergamene territory in Asia and crossed into Europe, fortifying Lysimachia on the Hellespont, but his expansion into Anatolia and Greece was abruptly halted after a decisive defeat at the Battle of Magnesia (190 BC). In the Treaty of Apamea which ended the war, Antiochus lost all of his territories in Anatolia west of the Taurus and was forced to pay a large indemnity of 15,000 talents. Much of the eastern part of the empire was then conquered by the Parthians under Mithridates I of Parthia in the mid-2nd century BC, yet the Seleucid kings continued to rule a rump state from Syria until the invasion by the Armenian king Tigranes the Great and their ultimate overthrow by the Roman general Pompey. After the death of Lysimachus, one of his officers, Philetaerus, took control of the city of Pergamum in 282 BC along with Lysimachus' war chest of 9,000 talents and declared himself loyal to Seleucus I while remaining de facto independent. His descendant, Attalus I, defeated the invading Galatians and proclaimed himself an independent king. Attalus I (241–197 BC), was a staunch ally of Rome against Philip V of Macedon during the first and second Macedonian Wars. For his support against the Seleucids in 190 BC, Eumenes II was rewarded with all the former Seleucid domains in Asia Minor. Eumenes II turned Pergamon into a centre of culture and science by establishing the Library of Pergamum which was said to be second only to the Library of Alexandria with 200,000 volumes according to Plutarch. It included a reading room and a collection of paintings. Eumenes II also constructed the Pergamum Altar with friezes depicting the Gigantomachy on the acropolis of the city. Pergamum was also a center of parchment (charta pergamena) production. The Attalids ruled Pergamon until Attalus III bequeathed the Kingdom of Pergamon to the Roman Republic in 133 BC to avoid a likely succession crisis. The Celts who settled in Galatia came through Thrace under the leadership of Leotarios and Leonnorios c. 270 BC. They were defeated by Antiochus I in the 'battle of the Elephants', but were still able to establish a Celtic territory in central Anatolia. The Galatians were well respected as warriors and were widely used as mercenaries in the armies of the successor states. They continued to attack neighboring kingdoms such as Bithynia and Pergamon, plundering and extracting tribute. This came to an end when they sided with the renegade Seleucid prince Antiochus Hierax who tried to defeat Attalus, the ruler of Pergamon (241–197 BC). Attalus severely defeated the Gauls, forcing them to confine themselves to Galatia. The theme of the Dying Gaul (a famous statue displayed in Pergamon) remained a favorite in Hellenistic art for a generation signifying the victory of the Greeks over a noble enemy. In the early 2nd century BC, the Galatians became allies of Antiochus the Great, the last Seleucid king trying to regain suzerainty over Asia Minor. In 189 BC, Rome sent Gnaeus Manlius Vulso on an expedition against the Galatians. Galatia was henceforth dominated by Rome through regional rulers from 189 BC onward. After their defeats by Pergamon and Rome the Galatians slowly became Hellenized and they were called "Gallo-Graeci" by the historian Justin as well as Ἑλληνογαλάται (Hellēnogalátai) by Diodorus Siculus in his Bibliotheca historica v.32.5, who wrote that they were "called Helleno-Galatians because of their connection with the Greeks." The Bithynians were a Thracian people living in northwest Anatolia. After Alexander's conquests the region of Bithynia came under the rule of the native king Bas, who defeated Calas, a general of Alexander the Great, and maintained the independence of Bithynia. His son, Zipoetes I of Bithynia maintained this autonomy against Lysimachus and Seleucus I, and assumed the title of king (basileus) in 297 BC. His son and successor, Nicomedes I, founded Nicomedia, which soon rose to great prosperity, and during his long reign (c. 278 – c. 255 BC), as well as those of his successors, the Kingdom of Bithynia held a considerable place among the minor monarchies of Anatolia. Nicomedes also invited the Celtic Galatians into Anatolia as mercenaries, and they later turned on his son Prusias I, who defeated them in battle. Their last king, Nicomedes IV, was unable to maintain himself against Mithridates VI of Pontus, and, after being restored to his throne by the Roman Senate, he bequeathed his kingdom by will to the Roman Republic (74 BC). The Nabatean Kingdom was an Arab state located between the Sinai Peninsula and the Arabian Peninsula. Its capital was the city of Petra, an important trading city on the incense route. The Nabateans resisted the attacks of Antigonus and were allies of the Hasmoneans in their struggle against the Seleucids, but later fought against Herod the Great. The hellenization of the Nabateans occurred relatively late in comparison to the surrounding regions. Nabatean material culture does not show any Greek influence until the reign of Aretas III Philhellene in the 1st century BC. Aretas captured Damascus and built the Petra pool complex and gardens in the Hellenistic style. Though the Nabateans originally worshipped their traditional gods in symbolic form such as stone blocks or pillars, during the Hellenistic period they began to identify their gods with Greek gods and depict them in figurative forms influenced by Greek sculpture.[citation needed] Nabatean art shows Greek influences, and paintings have been found depicting Dionysian scenes. They also slowly adopted Greek as a language of commerce along with Aramaic and Arabic. Cappadocia, a mountainous region situated between Pontus and the Taurus mountains, was ruled by a Persian dynasty. Ariarathes I (332–322 BC) was the satrap of Cappadocia under the Persians and after the conquests of Alexander he retained his post. After Alexander's death he was defeated by Eumenes and crucified in 322 BC, but his son, Ariarathes II managed to regain the throne and maintain his autonomy against the warring Diadochi. In 255 BC, Ariarathes III took the title of king and married Stratonice, a daughter of Antiochus II, remaining an ally of the Seleucid kingdom. Under Ariarathes IV, Cappadocia came into relations with Rome, first as a foe espousing the cause of Antiochus the Great, then as an ally against Perseus of Macedon and finally in a war against the Seleucids. Ariarathes V also waged war with Rome against Aristonicus, a claimant to the throne of Pergamon, and their forces were annihilated in 130 BC. This defeat allowed Pontus to invade and conquer the kingdom. Orontid Armenia formally passed to the empire of Alexander the Great following his conquest of Persia. Alexander appointed an Orontid named Mithranes to govern Armenia. Armenia later became a vassal state of the Seleucid Empire, but it maintained a considerable degree of autonomy, retaining its native rulers. Towards the end 212 BC the country was divided into two kingdoms, Greater Armenia and Armenia Sophene, including Commagene or Armenia Minor. The kingdoms became so independent from Seleucid control that Antiochus III the Great waged war on them during his reign and replaced their rulers. After the Seleucid defeat at the Battle of Magnesia in 190 BC, the kings of Sophene and Greater Armenia revolted and declared their independence, with Artaxias becoming the first king of the Artaxiad dynasty of Armenia in 188 BC. During the reign of the Artaxiads, Armenia went through a period of hellenization. Numismatic evidence shows Greek artistic styles and the use of the Greek language. Some coins describe the Armenian kings as "Philhellenes". During the reign of Tigranes the Great (95–55 BC), the kingdom of Armenia reached its greatest extent, containing many Greek cities, including the entire Syrian tetrapolis. Cleopatra, the wife of Tigranes the Great, invited Greeks such as the rhetor Amphicrates and the historian Metrodorus of Scepsis to the Armenian court, and—according to Plutarch—when the Roman general Lucullus seized the Armenian capital, Tigranocerta, he found a troupe of Greek actors who had arrived to perform plays for Tigranes. Tigranes' successor Artavasdes II even composed Greek tragedies himself. Parthia was a north-eastern Iranian satrapy of the Achaemenid Empire which later passed on to Alexander's empire. Under the Seleucids, Parthia was governed by various Greek satraps such as Nicanor and Philip. In 247 BC, following the death of Antiochus II Theos, Andragoras, the Seleucid governor of Parthia, proclaimed his independence and began minting coins showing himself wearing a royal diadem and claiming kingship. He ruled until 238 BC when Arsaces, the leader of the Parni tribe conquered Parthia, killing Andragoras and inaugurating the Arsacid dynasty. Antiochus III recaptured Arsacid controlled territory in 209 BC from Arsaces II. Arsaces II sued for peace and became a vassal of the Seleucids. It was not until the reign of Phraates I (c. 176–171 BC), that the Arsacids would again begin to assert their independence. During the reign of Mithridates I of Parthia, Arsacid control expanded to include Herat (in 167 BC), Babylonia (in 144 BC), Media (in 141 BC), Persia (in 139 BC), and large parts of Syria (in the 110s BC). The Seleucid–Parthian wars continued as the Seleucids invaded Mesopotamia under Antiochus VII Sidetes (reigned 138–129 BC), but he was eventually killed by a Parthian counterattack. After the fall of the Seleucid dynasty, the Parthians fought frequently against neighbouring Rome in the Roman–Parthian Wars (66 BC – AD 217). Abundant traces of Hellenism continued under the Parthian empire. The Parthians used Greek as well as their own Parthian language (though lesser than Greek) as languages of administration and also used Greek drachmas as coinage. They enjoyed Greek theater, and Greek art influenced Parthian art. The Parthians continued worshipping Greek gods syncretized together with Iranian deities. Their rulers established ruler cults in the manner of Hellenistic kings and often used Hellenistic royal epithets. The Hellenistic influence in Iran was significant in terms of scope, but not depth and durability—unlike the Near East, the Iranian–Zoroastrian ideas and ideals remained the main source of inspiration in mainland Iran, and was soon revived in late Parthian and Sasanian periods. During the Hellenistic period, Judea became a frontier region between the Seleucid Empire and Ptolemaic Egypt and therefore was often the frontline of the Syrian wars, changing hands several times during these conflicts. Under the Hellenistic kingdoms, Judea was ruled by the hereditary office of the High Priest of Israel as a Hellenistic vassal. This period also saw the rise of a Hellenistic Judaism, which first developed in the Jewish diaspora of Alexandria and Antioch, and then spread to Judea. The major literary product of this cultural syncretism is the Septuagint translation of the Hebrew Bible from Biblical Hebrew and Biblical Aramaic to Koiné Greek. The reason for the production of this translation seems to be that many of the Alexandrian Jews had lost the ability to speak Hebrew and Aramaic. Between 301 and 219 BC the Ptolemies ruled Judea in relative peace, and Jews often found themselves working in the Ptolemaic administration and army, which led to the rise of a Hellenized Jewish elite class (e.g. the Tobiads). The wars of Antiochus III brought the region into the Seleucid Empire; Jerusalem fell to his control in 198 BC and the Temple was repaired and provided with money and tribute. Antiochus IV Epiphanes sacked Jerusalem and looted the Temple in 169 BC after disturbances in Judea during his abortive invasion of Egypt. Antiochus then banned key Jewish religious rites and traditions in Judea. He may have been attempting to Hellenize the region and unify his empire and the Jewish resistance to this eventually led to an escalation of violence. Whatever the case, tensions between pro- and anti-Seleucid Jewish factions led to the 174–135 BC Maccabean Revolt of Judas Maccabeus (whose victory is celebrated in the Jewish festival of Hanukkah). Modern interpretations see this period as a civil war between Hellenized and orthodox forms of Judaism. Out of this revolt was formed an independent Jewish kingdom known as the Hasmonean dynasty, which lasted from 165 BC to 63 BC. The Hasmonean dynasty eventually disintegrated in a civil war, which coincided with civil wars in Rome. The last Hasmonean ruler, Antigonus II Mattathias, was captured by Herod and executed in 37 BC. In spite of originally being a revolt against Greek overlordship, the Hasmonean kingdom and also the Herodian kingdom which followed gradually became more and more hellenized. From 37 BC to 4 BC, Herod the Great ruled as a Jewish-Roman client king appointed by the Roman Senate. He considerably enlarged the Temple (see Herod's Temple), making it one of the largest religious structures in the world. The style of the enlarged temple and other Herodian architecture shows significant Hellenistic architectural influence. His son, Herod Archelaus, ruled from 4 BC to AD 7 when he was deposed for the formation of Roman Judea. The Kingdom of Pontus was a Hellenistic kingdom on the southern coast of the Black Sea. It was founded by Mithridates I in 291 BC and lasted until its conquest by the Roman Republic in 63 BC. Despite being ruled by a dynasty which was a descendant of the Persian Achaemenid Empire it became hellenized due to the influence of the Greek cities on the Black Sea and its neighboring kingdoms. Pontic culture was a mix of Greek and Iranian elements; the most hellenized parts of the kingdom were on the coast, populated by Greek colonies such as Trapezus and Sinope, the latter of which became the capital of the kingdom. Epigraphic evidence also shows extensive Hellenistic influence in the interior. During the reign of Mithridates II, Pontus was allied with the Seleucids through dynastic marriages. By the time of Mithridates VI Eupator, Greek was the official language of the kingdom, though Anatolian languages continued to be spoken. The kingdom grew to its largest extent under Mithridates VI, who conquered Colchis, Cappadocia, Paphlagonia, Bithynia, Lesser Armenia, the Bosporan Kingdom, the Greek colonies of the Tauric Chersonesos and, for a brief time, the Roman province of Asia. Mithridates, himself of mixed Persian and Greek ancestry, presented himself as the protector of the Greeks against the 'barbarians' of Rome styling himself as "King Mithridates Eupator Dionysus" and as the "great liberator". Mithridates also depicted himself with the anastole hairstyle of Alexander and used the symbolism of Herakles, from whom the Macedonian kings claimed descent. After a long struggle with Rome in the Mithridatic wars, Pontus was defeated; part of it was incorporated into the Roman Republic as the province of Bithynia, while Pontus' eastern half survived as a client kingdom. Other realms The Greek kingdom of Bactria began as a breakaway satrapy of the Seleucid empire, which, because of the size of the empire, had significant freedom from central control. Between 255 and 246 BC, the governor of Bactria, Sogdiana and Margiana (most of present-day Afghanistan), one Diodotus, took this process to its logical extreme and declared himself king. Diodotus II, son of Diodotus, was overthrown in about 230 BC by Euthydemus, possibly the satrap of Sogdiana, who then started his own dynasty. In c. 210 BC, the Greco-Bactrian kingdom was invaded by a resurgent Seleucid empire under Antiochus III the Great. While victorious in the field, it seems Antiochus came to realise that there were advantages in the status quo (perhaps sensing that Bactria could not be governed from Syria), and married one of his daughters to Euthydemus's son, thus legitimizing the Greco-Bactrian dynasty. Soon afterwards the Greco-Bactrian kingdom seems to have expanded, possibly taking advantage of the defeat of the Parthian king Arsaces II by Antiochus. According to Strabo, the Greco-Bactrians seem to have had contacts with Han China through the Silk Road trade routes (Strabo, XI.11.1). There is evidence of technology exchange between Bactria and China around this time in the form of metal alloys such as Copper-nickel, which was then unknown to the West. An interesting facet of this cultural exchange was the Ferghana horse, renowned for its strength and endurance. These horses were highly valued and played a crucial role in military and trade activities. The Greco-Bactrians likely facilitated their exchange along the Silk Road, significantly enhancing their cultural and economic influence across Central Asia. The demand for these horses even reached the Han Dynasty in China, underscoring their importance and the interconnectedness of ancient civilizations. Indian sources also maintain religious contact between Buddhist monks and the Greeks, and some Greco-Bactrians did convert to Buddhism. Demetrius, son and successor of Euthydemus, invaded north-western India around 180 BC, after the destruction of the Mauryan Empire there; the Mauryans were probably allies of the Bactrians (and Seleucids). The exact justification for the invasion remains unclear, but after 180 BC, the Greeks ruled over parts of northwestern India. This period also marks the beginning of the obfuscation of Greco-Bactrian history. Demetrius possibly died in about 180 BC; numismatic evidence suggests the existence of several other kings shortly thereafter. It is probable that at this point the Greco-Bactrian kingdom split into several semi-independent regions for some years, often warring amongst themselves. King Heliocles was the last Greek to clearly rule Bactria, his power collapsing in the face of central Asian tribal invasions (Scythian and Yuezhi), by about 130 BC. However, Greek urban civilisation seems to have continued in Bactria after the fall of the kingdom, having a hellenising effect on the tribes which had displaced Greek rule. The Kushan Empire which followed continued to use Greek on their coinage and Greeks continued being influential in the empire. The separation of the Indo-Greek kingdom from the Greco-Bactrian kingdom resulted in an even more isolated position, and thus the details of the Indo-Greek kingdom are even more obscure than for Bactria. Many supposed kings in India are known only because of coins bearing their name. After the death of the Greco-Bactrian king Demetrius, civil wars between Bactrian kings in India allowed Apollodotus I (from c. 180/175 BC) to make himself independent as the first proper Indo-Greek king (who did not rule from Bactria). Large numbers of his coins have been found in India, and he seems to have reigned in Gandhara as well as western Punjab. Apollodotus I was succeeded by or ruled alongside Antimachus II, likely the son of the Bactrian king Antimachus I. In about 155 or 165 BC, a king named Menander rose to power. Menander was the most successful of the Indo-Greek kings and he seems to have been a great patron of Buddhism. He probably became a Buddhist and is remembered in some Buddhist texts as 'Milinda'. He also expanded the kingdom further east into Punjab, though these conquests were rather ephemeral. After the death of Menander (c. 130 BC), the Kingdom appears to have fragmented, with several 'kings' attested contemporaneously in different regions. This inevitably weakened the Greek position, and territory seems to have been lost progressively. Around 70 BC, the western regions of Arachosia and Paropamisadae were lost to tribal invasions, presumably by those tribes responsible for the end of the Bactrian kingdom. The resulting Indo-Scythian kingdom seems to have gradually pushed the remaining Indo-Greek kingdom towards the east. The Indo-Greek kingdom appears to have lingered on in western Punjab until about AD 10, at which time it was finally ended by the Indo-Scythians. Strato III was the last of the dynasty of Diodotus was the last of the line of Diodotus and independent Hellenistic king to rule at his death in 10 AD. After conquering the Indo-Greeks, the Kushan Empire took over Greco-Buddhism, the Greek language, Greek script, Greek coinage and artistic styles. Greeks continued being an important part of the cultural world of India for generations. The depictions of the Buddha appear to have been influenced by Greek culture: Buddha representations in the Ghandara period often showed Buddha under the protection of Herakles. Several references in Indian literature praise the knowledge of the Yavanas or the Greeks. The Mahabharata compliments them as "the all-knowing Yavanas" (sarvajñā yavanā); e.g., "The Yavanas, O king, are all-knowing; the Suras are particularly so. The mlecchas are wedded to the creations of their own fancy", such as flying machines that are generally called vimanas. The "Brihat-Samhita" of the mathematician Varahamihira says: "The Greeks, though impure, must be honored since they were trained in sciences and therein, excelled others...". Rise of Rome Widespread Roman interference in the Greek world was probably inevitable given the general manner of the ascendancy of the Roman Republic. This Roman-Greek interaction began as a consequence of the Greek city-states located along the coast of southern Italy. Rome had come to dominate the Italian peninsula, and desired the submission of the Greek cities to its rule. Although they initially resisted, allying themselves with Pyrrhus of Epirus, and defeating the Romans at several battles, the Greek cities were unable to maintain this position and were absorbed by the Roman republic. Shortly afterward, Rome became involved in Sicily, fighting against the Carthaginians in the First Punic War. The result was the complete conquest of Sicily, including its previously powerful Greek cities, by the Romans. After the Second Punic War, the Romans looked to re-assert their influence in the Balkans, and to curb the expansion of Philip V of Macedon. A pretext for war was provided by Philip's refusal to end his war with Attalid Pergamum and Rhodes, both Roman allies. The Romans, also allied with the Aetolian League of Greek city-states (which resented Philip's power), thus declared war on Macedon in 200 BC, starting the Second Macedonian War. This ended with a decisive Roman victory at the Battle of Cynoscephalae (197 BC). Like most Roman peace treaties of the period, the resultant 'Peace of Flaminius' was designed utterly to crush the power of the defeated party; a massive indemnity was levied, Philip's fleet was surrendered to Rome, and Macedon was effectively returned to its ancient boundaries, losing influence over the city-states of southern Greece, and land in Thrace and Asia Minor. The result was the end of Macedon as a major power in the Mediterranean. In less than twenty years, Rome had destroyed the power of one of the successor states, crippled another, and firmly entrenched its influence over Greece. This was primarily a result of the over-ambition of the Macedonian kings, and their unintended provocation of Rome, though Rome was quick to exploit the situation. In another twenty years, the Macedonian kingdom was no more. Seeking to re-assert Macedonian power and Greek independence, Philip V's son Perseus incurred the wrath of the Romans, resulting in the Third Macedonian War (171–168 BC). Victorious, the Romans abolished the Macedonian kingdom, replacing it with four puppet republics until it was formally annexed as a Roman province after yet another rebellion under Andriscus. Rome now demanded that the Achaean League, the last stronghold of Greek independence, be dissolved. The Achaeans refused and declared war on Rome. Most of the Greek cities rallied to the Achaeans' side, even slaves were freed to fight for Greek independence. The Roman consul Lucius Mummius advanced from Macedonia and defeated the Greeks at Corinth, which was razed to the ground. In 146 BC, the Greek peninsula, though not the islands, became a Roman protectorate. Roman taxes were imposed, except in Athens and Sparta, and all the cities had to accept rule by Rome's local allies. The Attalid dynasty of Pergamum lasted little longer; a Roman ally until the end, its final king Attalus III died in 133 BC without an heir, and taking the alliance to its natural conclusion, willed Pergamum to the Roman Republic. The final Greek resistance came in 88 BC, when King Mithridates of Pontus rebelled against Rome, captured Roman held Anatolia, and massacred up to 100,000 Romans and Roman allies across Asia Minor. Many Greek cities, including Athens, overthrew their Roman puppet rulers and joined him in the Mithridatic wars. When he was driven out of Greece by the Roman general Lucius Cornelius Sulla, the latter laid siege to Athens and razed the city. Mithridates was finally defeated by Gnaeus Pompeius Magnus (Pompey the Great) in 65 BC. Further ruin was brought to Greece by the Roman civil wars, which were partly fought in Greece. Finally, in 27 BC, Augustus directly annexed Greece to the new Roman Empire as the province of Achaea. The struggles with Rome had left Greece depopulated and demoralised. Nevertheless, Roman rule at least brought an end to warfare, and cities such as Athens, Corinth, Thessaloniki and Patras soon recovered their prosperity. Eventually, instability in the near east resulting from the power vacuum left by the collapse of the Seleucid Empire caused the Roman proconsul Pompey the Great to abolish the Seleucid rump state, absorbing much of Syria into the Roman Republic. Famously, the end of Ptolemaic Egypt came as the final act in the republican civil war between the Roman triumvirs Mark Anthony and Augustus Caesar. After the defeat of Anthony and his lover, the last Ptolemaic monarch, Cleopatra VII, at the Battle of Actium, Augustus invaded Egypt and took it as his own personal fiefdom. He thereby completed the destruction of the Hellenistic kingdoms and transformed the Roman Republic into a monarchy, ending (in hindsight) the Hellenistic era. Hellenistic culture Greek culture was at its height of world influence in the Hellenistic period. Hellenism or at least Philhellenism reached most regions on the frontiers of the Hellenistic kingdoms. Though some of these regions were not ruled by Greeks or even Greek speaking elites, Hellenistic influence can be seen in the historical record and material culture of these regions. Other regions had established contact with Greek colonies before this period, and simply saw a continued process of Hellenization and intermixing. The spread of Greek culture and language throughout the Near East and Asia owed much to the development of newly founded cities and deliberate colonization policies by the successor states, which in turn was necessary for maintaining their military forces. Settlements such as Ai-Khanoum, on trade routes, allowed Greek culture to mix and spread. The language of Philip II's and Alexander's court and army (which was made up of various Greek and non-Greek speaking peoples) was a version of Attic Greek, and over time this language developed into Koine, the lingua franca of the successor states. The spread of Greek influence and language is also shown through ancient Greek coinage. Portraits became more realistic, and the obverse of the coin was often used to display a propagandistic image, commemorating an event or displaying the image of a favored god. The use of Greek-style portraits and Greek language continued under the Roman, Parthian, and Kushan empires, even as the use of Greek was in decline. In some fields Hellenistic culture thrived, particularly in its preservation of the past. The states of the Hellenistic period were deeply fixated with the past and its seemingly lost glories. The preservation of many classical and archaic works of art and literature (including the works of the three great classical tragedians, Aeschylus, Sophocles, and Euripides) are due to the efforts of the Hellenistic Greeks. The Mouseion and Library of Alexandria were the center of this conservationist activity. With the support of royal stipends, Alexandrian scholars collected, translated, copied, classified, and critiqued every book they could find. Most of the great literary figures of the Hellenistic period studied at Alexandria and conducted research there. They were scholar poets, writing not only poetry but treatises on Homer and other archaic and classical Greek literature. Athens retained its position as the most prestigious seat of higher education, especially in the domains of philosophy and rhetoric, with considerable libraries and philosophical schools. Alexandria had the monumental Mouseion (a research center) and Library of Alexandria, with a estimated collection of 500,000 or more volumes. The city of Pergamon also had a large library and became a major center of book production. The island of Rhodes had a library and also boasted a famous finishing school for politics and diplomacy. Libraries were also present in Antioch, Pella, and Kos. Cicero was educated in Athens and Mark Antony in Rhodes. Antioch was founded as a metropolis and center of Greek learning which retained its status into the era of Christianity. Seleucia replaced Babylon as the metropolis of the lower Tigris. The identification of local gods with similar Greek deities, a practice termed 'Interpretatio graeca', stimulated the building of Greek-style temples, and Greek culture in the cities meant that buildings such as gymnasia and theaters became common. Many cities maintained nominal autonomy while under the rule of the local king or satrap, and often had Greek-style institutions. Greek dedications, statues, architecture, and inscriptions have all been found. However, local cultures were not replaced, and mostly went on as before, but now with a new Greco-Macedonian or otherwise Hellenized elite. An example that shows the spread of Greek theater is Plutarch's story of the death of Crassus, in which his head was taken to the Parthian court and used as a prop in a performance of The Bacchae. Theaters have also been found: for example, in Ai-Khanoum on the edge of Bactria, the theater has 35 rows – larger than the theater in Babylon. The concept of Hellenization, meaning the adoption of Greek culture in non-Greek regions, has long been controversial. Undoubtedly Greek influence did spread through the Hellenistic realms, but to what extent, and whether this was a deliberate policy or mere cultural diffusion, have been hotly debated. It seems likely that Alexander himself pursued policies which led to Hellenization, such as the foundations of new cities and Greek colonies. While it may have been a deliberate attempt to spread Greek culture (or as Arrian says, "to civilise the natives"), it is more likely that it was a series of pragmatic measures designed to aid in the rule of his enormous empire. Cities and colonies were centers of administrative control and Macedonian power in a newly conquered region. Alexander also seems to have attempted to create a mixed Greco-Persian elite class as shown by the Susa weddings and his adoption of some forms of Persian dress and court culture. He also brought Persian and other non-Greek peoples into his military and even the elite cavalry units of the companion cavalry. Again, it is probably better to see these policies as a pragmatic response to the demands of ruling a large empire than to any idealized attempt to bringing Greek culture to the 'barbarians'. This approach was bitterly resented by the Macedonians and discarded by most of the Diadochi after Alexander's death. These policies can also be interpreted as the result of Alexander's possible megalomania during his later years. After Alexander's death in 323 BC, the influx of Greek colonists into the new realms continued to spread Greek culture into Asia. The founding of new cities and military colonies continued to be a major part of the Successors' struggle for control of any particular region, and these continued to be centers of cultural diffusion. The spread of Greek culture under the Successors seems mostly to have occurred with the spreading of Greeks themselves, rather than as an active policy. Throughout the Hellenistic world, these Greco-Macedonian colonists considered themselves by and large superior to the native "barbarians" and excluded most non-Greeks from the upper echelons of courtly and government life. Most of the native population was not Hellenized, had little access to Greek culture and often found themselves discriminated against by their Hellenic overlords. Gymnasiums and their Greek education, for example, were for Greeks only. Greek cities and colonies may have exported Greek art and architecture as far as the Indus, but these were mostly enclaves of Greek culture for the transplanted Greek elite. The degree of influence that Greek culture had throughout the Hellenistic kingdoms was therefore highly localized and based mostly on a few great cities like Alexandria and Antioch. Some natives did learn Greek and adopt Greek ways, but this was mostly limited to a few local elites who were allowed to retain their posts by the Diadochi and also to a small number of mid-level administrators who acted as intermediaries between the Greek speaking upper class and their subjects. In the Seleucid Empire, for example, this group amounted to only 2.5 percent of the official class. Hellenistic art nevertheless had a considerable influence on the cultures that had been affected by the Hellenistic expansion. As far as the Indian subcontinent, Hellenistic influence on Indian art was broad and far-reaching, and had effects for several centuries following the forays of Alexander the Great. Despite their initial reluctance, the Successors seem to have later deliberately naturalized themselves to their different regions, presumably in order to help maintain control of the population. In the Ptolemaic kingdom, we find some Egyptianized Greeks by the 2nd century onwards. In the Indo-Greek kingdom we find kings who were converts to Buddhism (e.g., Menander). The Greeks in the regions therefore gradually become 'localized', adopting local customs as appropriate. In this way, hybrid 'Hellenistic' cultures naturally emerged, at least among the upper echelons of society. The trends of Hellenization were therefore accompanied by Greeks adopting native ways over time, but this was widely varied by place and by social class. The farther away from the Mediterranean and the lower in social status, the more likely that a colonist was to adopt local ways, while the Greco-Macedonian elites and royal families usually remained thoroughly Greek and viewed most non-Greeks with disdain. It was not until Cleopatra VII that a Ptolemaic ruler bothered to learn the Egyptian language of their subjects. In the Hellenistic period, there was much continuity in Greek religion: the Greek gods continued to be worshiped, and the same rites were practiced as before. However the socio-political changes brought on by the conquest of the Persian empire and Greek emigration abroad meant that change also came to religious practices. This varied greatly by location. Athens, Sparta and most cities in the Greek mainland did not see much religious change or new gods (with the exception of the Egyptian Isis in Athens), while the multi-ethnic Alexandria had a very varied group of gods and religious practices, including Egyptian, Jewish and Greek. Greek emigres brought their Greek religion everywhere they went, even as far as India and Afghanistan. Non-Greeks also had more freedom to travel and trade throughout the Mediterranean and in this period we can see Egyptian gods such as Serapis, and the Syrian gods Atargatis and Hadad, as well as a Jewish synagogue, all coexisting on the island of Delos alongside classical Greek deities. A common practice was to identify Greek gods with native gods that had similar characteristics and this created new fusions like Zeus-Ammon, Aphrodite Hagne (a Hellenized Atargatis) and Isis-Demeter. Greek emigres faced individual religious choices they had not faced on their home cities, where the gods they worshiped were dictated by tradition. Hellenistic monarchies were closely associated with the religious life of the kingdoms they ruled. This had already been a feature of Macedonian kingship, which had priestly duties. Hellenistic kings adopted patron deities as protectors of their house and sometimes claimed descent from them. The Seleucids for example took on Apollo as patron, the Antigonids had Herakles, and the Ptolemies claimed Dionysus among others. The worship of dynastic ruler cults was also a feature of this period, most notably in Egypt, where the Ptolemies adopted earlier Pharaonic practice, and established themselves as god-kings. These cults were usually associated with a specific temple in honor of the ruler such as the Ptolemaieia at Alexandria and had their own festivals and theatrical performances. The setting up of ruler cults was more based on the systematized honors offered to the kings (sacrifice, proskynesis, statues, altars, hymns) which put them on par with the gods (isotheism) than on actual belief of their divine nature. According to Peter Green, these cults did not produce genuine belief of the divinity of rulers among the Greeks and Macedonians. The worship of Alexander was also popular, as in the long lived cult at Erythrae and of course, at Alexandria, where his tomb was located. The Hellenistic age also saw a rise in the disillusionment with traditional religion. The rise of philosophy and the sciences had removed the gods from many of their traditional domains such as their role in the movement of the heavenly bodies and natural disasters. The Sophists proclaimed the centrality of humanity and agnosticism; the belief in Euhemerism (the view that the gods were simply ancient kings and heroes), became popular. The popular philosopher Epicurus promoted a view of disinterested gods living far away from the human realm in metakosmia. The apotheosis of rulers also brought the idea of divinity down to earth. While there does seem to have been a substantial decline in religiosity, this was mostly reserved for the educated classes. Magic was practiced widely, and this, too, was a continuation from earlier times. Throughout the Hellenistic world, people would consult oracles, and use charms and figurines to deter misfortune or to cast spells. Also developed in this era was the complex system of astrology, which sought to determine a person's character and future in the movements of the Sun, Moon, and planets. Astrology was widely associated with the cult of Tyche (luck, fortune), which grew in popularity during this period. The Hellenistic period saw the rise of New Comedy, the only few surviving representative texts being those of Menander (born 342/341 BC). Only one play, Dyskolos, survives in its entirety. The plots of this new Hellenistic comedy of manners were more domestic and formulaic, stereotypical low born characters such as slaves became more important, the language was colloquial and major motifs included escapism, marriage, romance and luck (Tyche). Though no Hellenistic tragedy remains intact, they were still widely produced during the period, yet it seems that there was no major breakthrough in style, remaining within the classical model. The Supplementum Hellenisticum, a modern collection of extant fragments, contains the fragments of 150 authors. Hellenistic poets now sought patronage from kings, and wrote works in their honor. The scholars at the libraries in Alexandria and Pergamon focused on the collection, cataloging, and literary criticism of classical Athenian works and ancient Greek myths. The poet-critic Callimachus, a staunch elitist, wrote hymns equating Ptolemy II to Zeus and Apollo. He promoted short poetic forms such as the epigram, epyllion and the iambic and attacked epic as base and common ("big book, big evil" was his doctrine). He also wrote a massive catalog of the holdings of the library of Alexandria, the famous Pinakes. Callimachus was extremely influential in his time and also for the development of Augustan poetry. Another poet, Apollonius of Rhodes, attempted to revive the epic for the Hellenistic world with his Argonautica. He had been a student of Callimachus and later became chief librarian (prostates) of the library of Alexandria. Apollonius and Callimachus spent much of their careers feuding with each other. Pastoral poetry also thrived during the Hellenistic era, Theocritus was a major poet who popularized the genre. Around 240 BC Livius Andronicus, a Greek slave from southern Italy, translated Homer's Odyssey into Latin. Greek literature would have a dominant effect on the development of the Latin literature of the Romans. The poetry of Virgil, Horace and Ovid were all based on Hellenistic styles. During the Hellenistic period, many different schools of thought developed, and these schools of Hellenistic philosophy had a significant influence on the Greek and Roman ruling elite. Athens, with its multiple philosophical schools, continued to remain the center of philosophical thought. However, Athens had now lost her political freedom, and Hellenistic philosophy is a reflection of this new difficult period. In this political climate, Hellenistic philosophers went in search of goals such as ataraxia (un-disturbedness), autarky (self-sufficiency), and apatheia (freedom from suffering), which would allow them to wrest well-being or eudaimonia out of the most difficult turns of fortune. This occupation with the inner life, with personal inner liberty and with the pursuit of eudaimonia is what all Hellenistic philosophical schools have in common. The Epicureans and the Cynics eschewed public offices and civic service, which amounted to a rejection of the polis itself, the defining institution of the Greek world. Epicurus promoted atomism and an asceticism based on freedom from pain as its ultimate goal. The Cyrenaics and Epicureans embraced hedonism, arguing that pleasure was the only true good. Cynics such as Diogenes of Sinope rejected all material possessions and social conventions (nomos) as unnatural and useless. Stoicism, founded by Zeno of Citium, taught that virtue was sufficient for eudaimonia as it would allow one to live in accordance with Nature or Logos. The philosophical schools of Aristotle (the Peripatetics of the Lyceum) and Plato (Platonism at the Academy) also remained influential. Against these dogmatic schools of philosophy the Pyrrhonist school embraced philosophical skepticism, and, starting with Arcesilaus, Plato's Academy also embraced skepticism in the form of Academic Skepticism. The spread of Christianity throughout the Roman world, followed by the spread of Islam, ushered in the end of Hellenistic philosophy and the beginnings of Medieval philosophy (often forcefully, as under Justinian I), which was dominated by the three Abrahamic traditions: Jewish philosophy, Christian philosophy, and early Islamic philosophy. In spite of this shift, Hellenistic philosophy continued to influence these three religious traditions and the Renaissance thought which followed them. Science in the Hellenistic age differed from that of the previous era in at least two ways: first, it benefited from the cross-fertilization of Greek ideas with those that had developed in older civilizations; secondly, to some extent, it was supported by royal patrons in the kingdoms founded by Alexander's successors. The cultural competition among the Hellenistic kingdoms produced seats of learning throughout the Mediterranean, of which the most important was Alexandria in Egypt, which became a major center of scholarship in the 3rd century BC. In their scientific investigations, Hellenistic scholars frequently employed the principles developed earlier in ancient Greece: the application of mathematics to natural phenomena and the undertaking of deliberate empirical research. In mathematics, Hellenistic geometers built upon the work of mathematicians from the previous generation such as Theodorus, Archytas, Theaetetus, and Eudoxus. Euclid, whose Elements became the most important textbook in Western mathematics until the 19th century, presented proofs for the Pythagorean theorem, for the infinitude of primes, and for the five Platonic solids. Archimedes made use of a technique dependent on proof by contradiction to solve problems with an arbitrary degree of accuracy. Known as the method of exhaustion, Archimedes used it in several of his works, including to approximate the value of π (Measurement of the Circle) and to prove that the area enclosed by a parabola and a straight line is 4/3 times the area of a triangle with equal base and height (Quadrature of the Parabola). The most characteristic product of Hellenistic mathematics was the theory of conic sections, reaching its greatest achievement in the work of Apollonius. It made no explicit use of either algebra or trigonometry, the latter appearing around the time of Hipparchus. In the exact sciences, Eratosthenes measured the Earth's circumference and calculated the tilt of the Earth's axis with remarkable accuracy. He might have also determined the distance from the Earth to the Sun and invented the leap day. Eratosthenes drew a map of the world incorporating parallels and meridians, based on the available geographical knowledge of the era. Another important figure is the astronomer Hipparchus, who used Babylonian astronomical data and discovered the phenomena of Earth's precession. Pliny reports that Hipparchus produced the first systematic star catalog after he observed a new star, wishing to preserve astronomical record of the stars so that new ones could be discovered. A celestial globe based on Hipparchus' star catalog presumably sits atop the broad shoulders of a large 2nd-century Roman statue known as the Farnese Atlas. Another astronomer, Aristarchos of Samos, measured the distances of the Earth, Sun, and Moon, and developed a heliocentric theory. In mechanics, Ctesibius wrote the first treatises on the science of compressed air and its uses in pumps, and allegedly designed a kind of cannon as reported by Hero of Alexandria. In the life sciences, medicine made significant advances within the framework of the Hippocratic tradition. Praxagoras theorized that blood traveled through the veins, while Herophilos and Erasistratus performed dissections and vivisections of humans and animals, providing accurate descriptions of the nervous system, liver and other key organs. Influenced by Philinus of Cos, a student of Herophilos, the Empiric school of medicine focused on strict observation and rejected the unseen causes of the Dogmatic school. In botany, Theophrastus was known for his work in plant classification while Crateuas wrote a compendium on botanic pharmacy. The library of Alexandria presumably included a zoo for research and Hellenistic zoologists include Archelaos, Leonidas of Byzantion, Apollodoros of Alexandria and Bion of Soloi. The technological achievement of the Hellenistic age is masterly displayed in the Antikythera mechanism, a 37-gear mechanical analog computer which calculated the motions of the Sun, Moon, and planets, including lunar and solar eclipses. Devices of this sort are not found again until the 10th century, when a simpler eight-geared luni-solar calculator incorporated into an astrolabe was described by the Persian scholar, Al-Biruni. Similarly complex devices were also developed by other Muslim engineers and astronomers during the Middle Ages. Other technological developments of the Hellenistic age include cogged gears, pulleys, Archimedes' screw, the screw press, glassblowing, hollow bronze casting, surveying instruments, the odometer, the pantograph, the water clock, the watermill, the water organ, and the piston pump. Past interpretations of Hellenistic science often downplayed its significance, as found for instance in the English classical scholar Francis Cornford, who believed that "all the most important and original work was done in the three centuries from 600 to 300 BC". Recent interpretations tend to be more generous, leading a few people like mathematician Lucio Russo to claim that the scientific method was actually born in the 3rd century BC, to be largely forgotten during the Roman period and only revived in full during the Renaissance. Hellenistic warfare was a continuation of the military developments of Iphicrates and Philip II of Macedon, particularly his use of the Macedonian phalanx, a dense formation of pikemen, in conjunction with heavy companion cavalry. Armies of the Hellenistic period differed from those of the classical period in being largely made up of professional soldiers and also in their greater specialization and technical proficiency in siege warfare. Hellenistic armies were significantly larger than those of classical Greece relying increasingly on Greek mercenaries (misthophoroi; men-for-pay) and also on non-Greek soldiery such as Thracians, Galatians, Egyptians and Iranians. Some ethnic groups were known for their martial skill in a particular mode of combat and were highly sought after, including Tarantine cavalry, Cretan archers, Rhodian slingers and Thracian peltasts. This period also saw the adoption of new weapons and troop types such as Thureophoroi and the Thorakitai who used the oval Thureos shield and fought with javelins and the machaira sword. The use of heavily armored cataphracts and also horse archers was adopted by the Seleucids, Greco-Bactrians, Armenians and Pontus. The use of war elephants also became common. Seleucus received Indian war elephants from the Mauryan Empire, and used them to good effect at the battle of Ipsus. He kept a core of 500 of them at Apameia. The Ptolemies used the smaller African elephant. Hellenistic military equipment was generally characterized by an increase in size. Hellenistic-era warships grew from the trireme to include more banks of oars and larger numbers of rowers and soldiers as in the Quadrireme and Quinquereme. The Ptolemaic Tessarakonteres was the largest ship constructed in Antiquity. New siege engines were developed during this period. An unknown engineer developed the torsion-spring catapult (c. 360 BC) and Dionysios of Alexandria designed a repeating ballista, the Polybolos. Preserved examples of ball projectiles range from 4.4 to 78 kg (9.7 to 172.0 lb). Demetrius Poliorcetes was notorious for the large siege engines employed in his campaigns, especially during the 12-month siege of Rhodes when he had Epimachos of Athens build a massive 160 ton siege tower named Helepolis, filled with artillery. The term Hellenistic is a modern invention; the Hellenistic World not only included a huge area covering the whole of the Aegean, rather than the Classical Greece focused on the Poleis of Athens and Sparta, but also a huge time range. In artistic terms this means that there is huge variety which is often put under the heading of "Hellenistic Art" for convenience. Hardly any examples of Hellenistic paintings or sculptures survive, but we have many Roman copies. For Hellenistic sculpture we have some originals, including Laocoön and His Sons, the Venus de Milo, and the Winged Victory of Samothrace. Many surviving frescoes and mosaics from the Roman period are believed to be loose copies of Hellenistic paintings, but it is difficult to assess what the original artworks were like. Hellenistic art saw a turn from the idealistic, perfected, calm and composed figures of classical Greek art to a style dominated by realism and the depiction of emotion (pathos) and character (ethos). The motif of deceptively realistic naturalism in art (aletheia) is reflected in stories such as that of the pre-Hellenistic painter Zeuxis, who was said to have painted grapes that seemed so real that birds came and pecked at them. The female nude also became more popular as epitomized by the Aphrodite of Cnidos of Praxiteles and art in general became more erotic (e.g., Leda and the Swan and Scopa's Pothos). The dominant ideals of Hellenistic art were those of sensuality and passion. People of all ages and social statuses were depicted in the art of the Hellenistic age. Artists such as Peiraikos chose mundane and lower class subjects for his paintings. According to Pliny, "He painted barbers' shops, cobblers' stalls, asses, eatables and similar subjects, earning for himself the name of rhyparographos [painter of dirt/low things]. In these subjects he could give consummate pleasure, selling them for more than other artists received for their large pictures" (Natural History, Book XXXV.112). Even barbarians, such as the Galatians, were depicted in heroic form, prefiguring the artistic theme of the noble savage. The image of Alexander the Great was also an important artistic theme, and all of the diadochi had themselves depicted imitating Alexander's youthful look. Developments in painting included experiments in chiaroscuro by Zeuxis and the development of landscape painting and still life painting. Greek temples built during the Hellenistic period were generally larger than classical ones, such as the temple of Artemis at Ephesus, the temple of Artemis at Sardis, and the temple of Apollo at Didyma (rebuilt by Seleucus in 300 BC). The royal palace (basileion) also came into its own during the Hellenistic period, the first extant example being the massive 4th-century villa of Cassander at Vergina. This period also saw the first written works of art history in the histories of Duris of Samos and Xenocrates of Athens, a sculptor and a historian of sculpture and painting. There has been a trend in writing the history of this period to depict Hellenistic art as a decadent style, following the Golden Age of Classical Athens. Pliny the Elder, after having described the sculpture of the classical period, says: Cessavit deinde ars ("then art disappeared"). The 18th century terms Baroque and Rococo have sometimes been applied to the art of this complex and individual period. The renewal of the historiographical approach as well as some recent discoveries, such as the tombs of Vergina, allow a better appreciation of this period's artistic richness. Throughout the Hellenistic period, several sports were practiced and promoted across the different cities and kingdoms of the time. Sport was culturally associated as a major compositional component of the "Hellenic self-image" and the participation in athleticism was seen as an important civic quality for representing one's homeland or city-state. During this period, this Hellenic perception on sport would go on to spread throughout the Hellenistic world. One contrast to the classical period is that the increased fluidity of citizenship and civic identity during the Hellenistic period meant that there arose a greater emphasis on honoring the philanthropic sponsors of athletic festivals rather than the athletes themselves, observed by the "scarcity of Hellenistic honorific decrees praising athletes" as highlighted by Antiopi Argyriou-Casmeridis. Hunting was both a favorite pastime of the Macedonian kings and nobles of that age and a favorite subject for paintings. In Egypt, the Ptolemaic kings sponsored new athletic festivals, and subsidize 'Egyptian' or 'Alexandrian' athletes at major competitions. Egyptian kings also provided funds for athletic facilities to be built, which housed ephebic education and encouraged citizens to partake in gymnasium classes. Ptolemaic and other Hellenistic royals often competed at athletic competitions like The Olympics or other Panathenaic games. Women during the Hellenistic period were often given opportunities to show off their athletic abilities in similar ways to men. In Egypt, Ptolemaic women were well known in terms of court, and during equestrian competitions. Despite women being banned from watching sports and events like the male Olympics, in Hellenistic Empires, female sport (especially equestrian sport) flourished. Discoveries of poems in 2001 depicted eighteen different wins for equestrian sport. These wins took place at competitions like Olympia and Athens, and all originated from the royal court. Several of these wins resulted from women and confirmed the desires and self-representation of Hellenistic rulers as they tried to influence the Greek World. Other forms of leisure activities included public presentations and demonstrations. These performances were often orchestrated by the royals for their own enjoyment. It is noted that these events were catered for both the female and male audiences. These events would often contain displays of exotic animals and other paraphernalia that aided to display their wealth and the territories that they controlled. While empires during the Hellenistic period ruled, they witnessed "expansion of 'crown' or 'Iso-' (equal to) major athletic festivals". This movement as well as the public displays for royalty were both trends what would continue into the Roman Empire. Legacy The focus on the Hellenistic period over the course of the 19th century by scholars and historians has led to an issue common to the study of historical periods; historians see the period of focus as a mirror of the period in which they are living. Many 19th-century scholars contended that the Hellenistic period represented a cultural decline from the brilliance of classical Greece. Though this comparison is now seen as unfair and meaningless, it has been noted that even commentators of the time saw the end of a cultural era which could not be matched again. This may be inextricably linked with the nature of government. It has been noted by Herodotus that after the establishment of the Athenian democracy: the Athenians found themselves suddenly a great power. Not just in one field, but in everything they set their minds to ... As subjects of a tyrant, what had they accomplished? ...Held down like slaves they had shirked and slacked; once they had won their freedom, not a citizen but he could feel like he was labouring for himself Thus, with the decline of the Greek polis, and the establishment of monarchical states, the environment and social freedom in which to excel may have been reduced. A parallel can be drawn with the productivity of the city states of Italy during the Renaissance, and their subsequent decline under autocratic rulers.[citation needed] However, William Woodthorpe Tarn, between World War I and World War II and the heyday of the League of Nations, focused on the issues of racial and cultural confrontation and the nature of colonial rule. Michael Rostovtzeff, who fled the Russian Revolution, concentrated predominantly on the rise of the capitalist bourgeoisie in areas of Greek rule. Arnaldo Momigliano, an Italian Jew who wrote before and after the Second World War, studied the problem of mutual understanding between races in the conquered areas. Moses Hadas portrayed an optimistic picture of synthesis of culture from the perspective of the 1950s, while Frank William Walbank in the 1960s and 1970s had a materialistic approach to the Hellenistic period, focusing mainly on class relations. Recently, however, papyrologist C. Préaux has concentrated predominantly on the economic system, interactions between kings and cities, and provides a generally pessimistic view on the period. Peter Green, on the other hand, writes from the point of view of late-20th-century liberalism, his focus being on individualism, the breakdown of convention, experiments, and a postmodern disillusionment with all institutions and political processes. Alexander's conquests expanded the influence of Greek culture in Asia, which many centuries later contributed to the spread of Christianity (from: Greek Χρῑστῐᾱνισμός). One of Alexander's generals, Seleucus I Nicator who controlled most of Asia Minor, Syria, Mesopotamia, and the Iranian Plateau after Alexander's death, founded Antioch, which later became known as the cradle of Christianity, since the name "Christian" for Jesus' followers first emerged there. The New Testament of the Bible (from: Koine Greek τὰ βιβλία, tà biblía, "the books") was written in Koine Greek. See also References Further reading External links |
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Contents Modern South Arabian languages The Modern South Arabian languages, also known as Eastern South Semitic languages, are a group of endangered languages spoken by small populations inhabiting the Arabian Peninsula, in Yemen (including Socotra) and Oman. Together with the Ethiosemitic and Sayhadic languages, the Western branch, they form the South Semitic sub-branch of the Afroasiatic language family's Semitic branch. Mehri and Hobyot are spoken in both Yemen and Oman. Soqotri is only spoken in the Yemeni archipelago of Socotra, and the Harsusi, Bathari, and Shehri languages are only spoken in Oman. Classification In his glottochronology-based classification, Alexander Militarev presents the Modern South Arabian languages as a South Semitic branch opposed to a North Semitic branch that includes all the other Semitic languages. They are no longer considered to be descendants of the Old South Arabian language, as was once thought,[citation needed] but instead "nephews". Languages Phonology Modern South Arabian languages are known for their apparent archaic Semitic features, especially in their system of phonology. For example, they preserve the lateral fricatives *ś [ɬ] and *ṣ́/ḏ̣ [ɬʼ] of Proto-Semitic. Modern South Arabian languages maintain the distinction which is lost in all spoken Arabic dialects but preserved in Classical Arabic between the two coronal emphatics represented by the Arabic letters ض /dˤ/ ḍād and ظ /ðˤ/ ẓāʾ. In contrast to Arabic, where this distinction is represented by a stop-continuant contrast at the alveolar or pre-dental place of articulation, Modern South Arabian languages preserve a lateral-central distinction (ض /ɬʼ/ vs. ظ /θʼ ~ ðʼ/). The lateral ض /ɬʼ/ is the emphatic counterpart to the lateral /ɬ/, which has become iconic of the Modern South Arabian languages, owing to its relative rarity in the world’s languages. Semiticists are nearly unanimous in the opinion that Proto-Semitic contained three plain sibilants, referred to by the shorthand *s1, *s2, and *s3, and confusing also as š, ś, and s. The realizations of these phonemes in earlier times is debated, these three plain sibilants have been preserved in Mehri and Shehri, on the other hand in Arabic *s and *š merged into Arabic /s/ ⟨س⟩ and *ś became Arabic /ʃ/ ⟨ش⟩. Origins Militarev identified a Cushitic substratum in Modern South Arabian, which he proposes is evidence that Cushitic speakers originally inhabited the Arabian Peninsula alongside Semitic speakers (Militarev 1984, 18–19; cf. also Belova 2003). According to Václav Blažek, this suggests that Semitic peoples assimilated their original Cushitic neighbours to the south who did not later emigrate to the Horn of Africa. He argues that the Levant would thus have been the Proto-Afro-Asiatic Urheimat, from where the various branches of the Afro-Asiatic family subsequently dispersed. To further support this, Blažek cites analysis of rock art in Central Arabia by Anati (1968, 180–84), which notes a connection between the shield-carrying "oval-headed" people depicted on the cave paintings and the Arabian Cushites from the Old Testament, who were similarly described as carrying specific shields. Reconstruction Proto-Modern South Arabian reconstructions by Roger Blench (2019): References Bibliography External links |
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Contents Semitic languages The Semitic languages are a branch of the Afroasiatic language family. They include Arabic, Amharic, Tigrinya, Aramaic, Hebrew, Maltese, Modern South Arabian languages and numerous other ancient and modern languages. They are spoken by more than 460 million people across much of West Asia, North Africa,[a] the Horn of Africa,[b][c] Malta,[d] and in large immigrant and expatriate communities in North America, Europe, and Australasia. The terminology was first used in the 1780s by members of the Göttingen school of history, who derived the name from Shem (שם), one of the three sons of Noah in the Book of Genesis. Arabic is by far the most widely spoken of the Semitic languages with 411 million native speakers of all varieties, and it is the most spoken native language in Africa and West Asia. Other Semitic languages include Amharic (35 million native speakers), Tigrinya (9.9 million speakers), Hebrew (5 million native speakers), Tigre (1 million speakers), and Maltese (570,000 speakers). Arabic, Amharic, Hebrew, Tigrinya, and Maltese are considered national languages with an official status. Semitic languages occur in written form from a very early historical date in West Asia, with East Semitic Akkadian (also known as Assyrian and Babylonian) and Eblaite texts (written in a script adapted from Sumerian cuneiform) appearing from c. 2600 BCE in Mesopotamia and the northeastern Levant respectively. The only earlier attested languages are Sumerian and Elamite (2800 BCE to 550 BCE), both language isolates, and Egyptian (c. 3000 BCE), a sister branch within the Afroasiatic family, related to the Semitic languages but not part of them. Amorite appeared in Mesopotamia and the northern Levant c. 2100 BC, followed by the mutually intelligible Canaanite languages (including Hebrew, Phoenician, Moabite, Edomite, and Ammonite, and perhaps Ekronite, Amalekite and Sutean), the still spoken Aramaic, and Ugaritic during the 2nd millennium BC. Most scripts used to write Semitic languages are abjads – a type of alphabetic script that omits some or all of the vowels, which is feasible for these languages because the consonants are the primary carriers of meaning in the Semitic languages. These include the Ugaritic, Phoenician, Aramaic, Hebrew, Syriac, Arabic, and ancient South Arabian alphabets. The Geʽez script, used for writing the Semitic languages of Ethiopia and Eritrea, is technically an abugida – a modified abjad in which vowels are notated using diacritic marks added to the consonants at all times, in contrast with other Semitic languages which indicate vowels based on need or for introductory purposes. Maltese is the only Semitic language written in the Latin script and the only Semitic language to be an official language of the European Union. The Semitic languages are notable for their nonconcatenative morphology. That is, word roots are not themselves syllables or words, but instead are isolated sets of consonants (usually three, making a so-called triliteral root). Words are composed from roots not so much by adding prefixes or suffixes, but rather by filling in the vowels between the root consonants, although prefixes and suffixes are often added as well. For example, in Arabic, the root meaning "write" has the form k-t-b. From this root, words are formed by filling in the vowels and sometimes adding consonants, e.g. كِتاب kitāb "book", كُتُب kutub "books", كاتِب kātib "writer", كُتّاب kuttāb "writers", كَتَب kataba "he wrote", يكتُب yaktubu "he writes", etc or the Hebrew equivalent root K-T-B כתב forming words like כַתָב katav "he wrote", יִכתוב yichtov "he will write", כותֵב kotev "he writes" or "writer", מִכתָב michtav "letter", הִכתִיב hichtiv "he dictated", etc.. The Hebrew Kaf alternatively becomes Khaf (as in Scottish "loch") depending on the letter preceding it. Name and identification The similarity of the Hebrew, Arabic and Aramaic languages has been accepted by all scholars since medieval times. The languages were familiar to Western European scholars due to historical contact with neighbouring Near Eastern countries and through Biblical studies, and a comparative analysis of Hebrew, Arabic, and Aramaic was published in Latin in 1538 by Guillaume Postel. Almost two centuries later, Hiob Ludolf described the similarities between these three languages and the Ethio-Semitic languages.[page needed] However, neither scholar named this grouping as "Semitic".[page needed] The term "Semitic" was created by members of the Göttingen school of history, initially by August Ludwig von Schlözer (1781), to designate the languages closely related to Arabic, Aramaic, and Hebrew. The choice of name was derived from Shem, one of the three sons of Noah in the genealogical accounts of the biblical Book of Genesis, or more precisely from the Koine Greek rendering of the name, Σήμ (Sēm). Johann Gottfried Eichhorn is credited with popularising the term, particularly via a 1795 article "Semitische Sprachen" (Semitic languages) in which he justified the terminology against criticism that Hebrew and Canaanite were the same language despite Canaan being "Hamitic" in the Table of Nations: In the Mosaic Table of Nations, those names which are listed as Semites are purely names of tribes who speak the so-called Oriental languages and live in Southwest Asia. As far as we can trace the history of these very languages back in time, they have always been written with syllabograms or with alphabetic script (never with hieroglyphs or pictograms); and the legends about the invention of the syllabograms and alphabetic script go back to the Semites. In contrast, all so called Hamitic peoples originally used hieroglyphs, until they here and there, either through contact with the Semites, or through their settlement among them, became familiar with their syllabograms or alphabetic script, and partly adopted them. Viewed from this aspect too, with respect to the alphabet used, the name "Semitic languages" is completely appropriate. Previously these languages had been commonly known as the "Oriental languages" in European literature. In the 19th century, "Semitic" became the conventional name; however, an alternative name, "Syro-Arabian languages", was later introduced by James Cowles Prichard and used by some writers. History Semitic languages were spoken and written across much of the Middle East and Asia Minor during the Bronze Age and Iron Age, the earliest attested being the East Semitic Akkadian of Mesopotamia (Akkad, Assyria, Isin, Larsa, and Babylonia) from the third millennium BC. The origin of Semitic-speaking peoples is still under discussion. Several locations were proposed as possible sites of a prehistoric origin of Semitic-speaking peoples: Mesopotamia, the Levant, Ethiopia, the Eastern Mediterranean region, the Arabian Peninsula, and North Africa. According to a 2009 study, the Semitic languages originated in the Levant c. 3750 BC, and were introduced to the Horn of Africa c. 800 BC from the southern Arabian Peninsula. Others assign the arrival of Semitic speakers in the Horn of Africa to a much earlier date. According to another hypothesis, Semitic originated from an offshoot of a still earlier language in North Africa; desertification led to emigration in the fourth millennium BC to both what is now Ethiopia and northeast out of Africa into West Asia. The various extremely closely related and mutually intelligible Canaanite languages, a branch of the Northwest Semitic languages included Edomite, Hebrew, Ammonite, Moabite, Phoenician (Punic/Carthaginian), Samaritan Hebrew, and Ekronite. They were spoken in what is today Israel and the Palestinian territories, Syria, Lebanon, Jordan, the northern Sinai Peninsula, some northern and eastern parts of the Arabian Peninsula, southwest fringes of Turkey, and in the case of Phoenician, coastal regions of Tunisia (Carthage), Libya, Algeria, and parts of Morocco, Spain, and possibly in Malta and other Mediterranean islands. Ugaritic, a Northwest Semitic language closely related to but distinct from the Canaanite group was spoken in the kingdom of Ugarit in north western Syria.[citation needed] A hybrid Canaano-Akkadian language also emerged in Canaan (Israel and the Palestinian territories, Jordan, Lebanon) during the 14th century BC, incorporating elements of the Mesopotamian East Semitic Akkadian language of Assyria and Babylonia with the West Semitic Canaanite languages. Aramaic, a still living ancient Northwest Semitic language, first attested in the 12th century BC in the northern Levant, gradually replaced the East Semitic and Canaanite languages across much of the Near East, particularly after being adopted as the lingua franca of the vast Neo-Assyrian Empire (911–605 BC) by Tiglath-Pileser III during the 8th century BC, and being retained by the succeeding Neo-Babylonian and Achaemenid Empires. The Chaldean language (not to be confused with Aramaic or its Biblical variant, sometimes referred to as Chaldean) was a Northwest Semitic language, possibly closely related to Aramaic, but no examples of the language remain, as after settling in south eastern Mesopotamia from the Levant during the 9th century BC, the Chaldeans appear to have rapidly adopted the Akkadian and Aramaic languages of the indigenous Mesopotamians.[citation needed] Old South Arabian languages (classified as South Semitic and therefore distinct from the Central-Semitic Arabic) were spoken in the kingdoms of Dilmun, Sheba, Ubar, Socotra, and Magan, which in modern terms encompassed part of the eastern coast of Saudi Arabia, and Bahrain, Qatar, Oman, and Yemen.[citation needed] South Semitic languages are thought to have spread to the Horn of Africa circa 8th century BC where the Geʽez language emerged (though the direction of influence remains uncertain).[citation needed] Classical Syriac, a 200 CE Eastern Middle Aramaic dialect, used as a liturgical language in Mesopotamia, the Levant, and Kerala, India, rose to importance as a literary language of early Christianity in the third to fifth centuries and continued into the early Islamic era. The Arabic language, although originating in the Arabian Peninsula, first emerged in written form in the 1st to 4th centuries CE in the southern regions of The Levant. With the advent of the early Arab conquests of the seventh and eighth centuries, Classical Arabic eventually replaced many (but not all) of the indigenous Semitic languages and cultures of the Near East. Both the Near East and North Africa saw an influx of Muslim Arabs from the Arabian Peninsula, followed later by non-Semitic Muslim Iranian and Turkic peoples. The previously dominant Aramaic dialects maintained by the Assyrians, Babylonians and Persians gradually began to be sidelined, however descendant dialects of Eastern Aramaic (including Suret (Assyrian and Chaldean varieties), Turoyo, and Mandaic) survive to this day among the Assyrians and Mandaeans of northern and southern Iraq, northwestern Iran, northeastern Syria and southeastern Turkey, with up to a million fluent speakers. Syriac is a recognized language in Iraq, furthermore, Mesopotamian Arabic is one of the most Syriac influenced dialects of Arabic, due to Syriac, the dialect of Edessa specifically, having originated in Mesopotamia. Meanwhile Western Aramaic is now only spoken by a few thousand Christian and Muslim Arameans (Syriacs) in western Syria. The Arabs spread their Central Semitic language to North Africa (Egypt, Libya, Tunisia, Algeria, Morocco, and northern Sudan and Mauritania), where it gradually replaced Egyptian Coptic and many Berber languages (although Berber is still largely extant in many areas), and for a time to the Iberian Peninsula (modern Spain, Portugal, and Gibraltar) and Malta.[citation needed] With the patronage of the caliphs and the prestige of its liturgical status, Arabic rapidly became one of the world's main literary languages. Its spread among the masses took much longer, however, as many (although not all) of the native populations outside the Arabian Peninsula only gradually abandoned their languages in favour of Arabic. As Bedouin tribes settled in conquered areas, it became the main language of not only central Arabia, but also Yemen, the Fertile Crescent, and Egypt. Most of the Maghreb followed, specifically in the wake of the Banu Hilal's incursion in the 11th century, and Arabic became the native language of many inhabitants of al-Andalus. After the collapse of the Nubian kingdom of Dongola in the 14th century, Arabic began to spread south of Egypt into modern Sudan; soon after, the Beni Ḥassān brought Arabization to Mauritania. A number of Modern South Arabian languages distinct from Arabic still survive, such as Soqotri, Mehri and Shehri which are mainly spoken in Socotra, Yemen, and Oman.[citation needed] Meanwhile, the Semitic languages that had arrived from southern Arabia in the 8th century BC were diversifying in Ethiopia and Eritrea, where, under heavy Cushitic influence, they split into a number of languages, including Amharic and Tigrinya. With the expansion of Ethiopia under the Solomonic dynasty, Amharic, previously a minor local language, spread throughout much of the country, replacing both Semitic (such as Gafat) and non-Semitic (such as Weyto) languages, and replacing Geʽez as the principal literary language (though Geʽez remains the liturgical language for Christians and Jews of Ethiopean descent in the region); this spread continues to this day, with Qimant set to disappear in another generation.[citation needed] Present distribution Arabic is currently the native language of majorities from Mauritania to Oman, and from Iraq to Sudan. Classical Arabic is the language of the Quran. It is also studied widely in the non-Arabic-speaking Muslim world. The Maltese language is a descendant of the extinct Siculo-Arabic, a variety of Maghrebi Arabic formerly spoken in Sicily. The modern Maltese alphabet is based on the Latin script with the addition of some letters with diacritic marks and digraphs. Maltese is the only Semitic official language within the European Union. Successful as second languages far beyond their numbers of contemporary first-language speakers, a few Semitic languages today are the base of the sacred literature of some of the world's major religions, including Islam (Arabic), Judaism (Hebrew and Aramaic (Biblical and Talmudic)), churches of Syriac Christianity (Classical Syriac) and Ethiopian and Eritrean Orthodox Christianity (Geʽez). Millions learn these as a second language (or an archaic version of their modern tongues): many Muslims learn to read and recite the Qur'an and Jews speak and study Biblical Hebrew, the language of the Torah, Midrash, and other Jewish scriptures. The followers of the Assyrian Church of the East, Chaldean Catholic Church, Ancient Church of the East, Assyrian Pentecostal Church, Assyrian Evangelical Church, and the Syriac Orthodox Church speak Eastern Aramaic languages and use Classical Syriac as their liturgical language. Classical Syriac is also used liturgically by the primarily Arabic-speaking followers of the Maronite Church, Syriac Catholic Church, and was originally the liturgical language of the Melkites in Antioch, and ancient Syria. Koine Greek and Classical Arabic are the main liturgical languages of Eastern Orthodox Christians in the Middle East, who compose the patriarchates of Antioch, Jerusalem, and Alexandria. Mandaic is both spoken and used as a liturgical language by the Mandaeans. Although the majority of Neo-Aramaic dialects spoken today are descended from Eastern varieties, Western Neo-Aramaic is still spoken in two villages in Syria. Despite the ascendancy of Arabic in the Middle East, other Semitic languages still exist. Biblical Hebrew, long extinct as a colloquial language and in use only as a Jewish literary, intellectual, and liturgical language, was revived in spoken form at the end of the 19th century. Modern Hebrew is the main language of Israel, with easily understandable Biblical Hebrew remaining as the language of the Bible, Jewish liturgy and religious scholarship of Jews worldwide. Modern Hebrew is the only example of an ancient tongue revived in modern times to become a vibrant, modern language used by Israel's 10 million citizens and many more in other countries. In Arab-dominated Yemen and Oman, on the southern rim of the Arabian Peninsula, a few tribes continue to speak Modern South Arabian languages such as Mahri and Soqotri. These languages differ greatly from both the surrounding Arabic dialects and from the languages of the Old South Arabian inscriptions. Historically linked to the peninsular homeland of Old South Arabian, of which only one language, Razihi, remains, Ethiopia and Eritrea contain a substantial number of Semitic languages; the most widely spoken are Amharic in Ethiopia, Tigre in Eritrea, and Tigrinya in both. Amharic is the official language of Ethiopia. Tigrinya is a working language in Eritrea. Tigre is spoken by over one million people in the northern and central Eritrean lowlands and parts of eastern Sudan. A number of Gurage languages are spoken by populations in the semi-mountainous region of central Ethiopia, while Harari is restricted to the city of Harar. Geʽez remains the liturgical language for certain groups of Christians in Ethiopia and in Eritrea and Ethiopean Jews. Phonology The phonologies of the attested Semitic languages are presented here from a comparative point of view (see Proto-Semitic language#Phonology for details on the phonological reconstruction of Proto-Semitic used in this article). The reconstruction of Proto-Semitic (PS) was originally based primarily on Arabic, whose phonology and morphology (particularly in Classical Arabic) is very conservative, and which preserves as contrastive 28 out of the evident 29 consonantal phonemes. with *s [s] and *š [ʃ] merging into Arabic /s/ ⟨س⟩ and *ś [ɬ] becoming Arabic /ʃ/ ⟨ش⟩. Note: the fricatives *s, *z, *ṣ, *ś, *ṣ́, and *ṱ may also be interpreted as affricates (/t͡s/, /d͡z/, /t͡sʼ/, /t͡ɬ/, /t͡ɬʼ/, and /t͡θʼ/), as discussed in Proto-Semitic language § Fricatives. This comparative approach is natural for the consonants, as sound correspondences among the consonants of the Semitic languages are very straightforward for a family of its time depth. Sound shifts affecting the vowels are more numerous and, at times, less regular. Each Proto-Semitic phoneme was reconstructed to explain a certain regular sound correspondence between various Semitic languages. Note that Latin letter values (italicized) for extinct languages are a question of transcription; the exact pronunciation is not recorded. Most of the attested languages have merged a number of the reconstructed original fricatives, though South Arabian retains all fourteen (and has added a fifteenth from *p > f). In Aramaic and Hebrew, all non-emphatic stops occurring singly after a vowel were softened to fricatives, leading to an alternation that was often later phonemicized as a result of the loss of gemination. In languages exhibiting pharyngealization of emphatics, the original velar emphatic has rather developed to a uvular stop [q]. Note: the fricatives *s, *z, *ṣ, *ś, *ṣ́, and *ṱ may also be interpreted as affricates (/t͡s/, /d͡z/, /t͡sʼ/, /t͡ɬ/, /t͡ɬʼ/, and /t͡θʼ/). Notes: Sibilants have been one of the aspects of Semitic phonology that historical linguists have taken the most interest in, and Semiticists are nearly unanimous in the opinion that Proto-Semitic contained three plain sibilants, referred to by the shorthand S1, S2, and S3, or as š, ś, and s. The realizations of these phonemes in earlier times is debated, with hypotheses ranging from a palatal [ɕ] for S1, and [s̠] or [ts] for S3, to plain [ʃ] for S1 and [s] for S3. Interestingly, the point of least controversy is the realization of S2, widely accepted to be lateral [ɬ], In spite of the fact that this phoneme has completely merged with S1 or S3 in every other Semitic language outside of Modern South Arabian languages, such that the most widely-spoken Semitic languages (Arabic, Amharic, Hebrew and Tigrinya) have a two-way sibilant distinction rather than the original three-way distinction. This merger occurred at different times, and in different ways across Semitic which has led to the non-correspondence of, for example, Arabic, Hebrew and Shehri (Jibbali) words for ‘ten’ from Proto-Semitic (ʕ-s₂-r). Notes: s₁ (š) is [ʃ], sometimes [h] and [jɦ] (in Soqotri) - [ʃ] and [ɕw] (for some speakers of Jibbali). The following table shows the development of the various fricatives in Hebrew, Aramaic, Arabic and Maltese through cognate words: – żmien شهر xahar סהר 'moon/month' sliem tnejn – */d/ d daħaq – ħolm għarb sebgħa Proto-Semitic vowels are, in general, harder to deduce due to the nonconcatenative morphology of Semitic languages. The history of vowel changes in the languages makes drawing up a complete table of correspondences impossible, so only the most common reflexes can be given: Grammar The Semitic languages share a number of grammatical features, although variation — both between separate languages, and within the languages themselves — has naturally occurred over time. The reconstructed default word order in Proto-Semitic is verb–subject–object (VSO), possessed–possessor (NG), and noun–adjective (NA). This was still the case in Classical Arabic and Biblical Hebrew, e.g. Classical Arabic رأى محمد فريدا ra'ā muħammadun farīdan. (literally "saw Muhammad Farid", Muhammad saw Farid). In the modern Arabic vernaculars, however, as well as sometimes in Modern Standard Arabic (the modern literary language based on Classical Arabic) and Modern Hebrew, the classical VSO order has given way to SVO. Modern Ethiopian Semitic languages follow a different word order: SOV, possessor–possessed, and adjective–noun; however, the oldest attested Ethiopian Semitic language, Geʽez, was VSO, possessed–possessor, and noun–adjective. Akkadian was also predominantly SOV. The proto-Semitic three-case system (nominative, accusative and genitive) with differing vowel endings (-u, -a -i), fully preserved in Qur'anic Arabic (see ʾIʿrab), Akkadian and Ugaritic, has disappeared everywhere in the many colloquial forms of Semitic languages. Modern Standard Arabic maintains such case distinctions, although they are typically lost in free speech due to colloquial influence. An accusative ending -n is preserved in Ethiopian Semitic.[note 3] In the northwest, the scarcely attested Samalian reflects a case distinction in the plural between nominative -ū and oblique -ī (compare the same distinction in Classical Arabic). Additionally, Semitic nouns and adjectives had a category of state, the indefinite state being expressed by nunation. Semitic languages originally had three grammatical numbers: singular, dual, and plural. Classical Arabic still has a mandatory dual (i.e. it must be used in all circumstances when referring to two entities), marked on nouns, verbs, adjectives and pronouns. Many contemporary dialects of Arabic still have a dual, as in the name for the nation of Bahrain (baħr "sea" + -ayn "two"), although it is marked only on nouns. It also occurs in Hebrew in a few nouns (šana means "one year", šnatayim means "two years", and šanim means "years"), but for those it is obligatory. The curious phenomenon of broken plurals – e.g. in Arabic, sadd "one dam" vs. sudūd "dams" – found most profusely in the languages of Arabia and Ethiopia, may be partly of proto-Semitic origin, and partly elaborated from simpler origins. All Semitic languages show two quite distinct styles of morphology used for conjugating verbs. Suffix conjugations take suffixes indicating the person, number and gender of the subject, which bear some resemblance to the pronominal suffixes used to indicate direct objects on verbs ("I saw him") and possession on nouns ("his dog"). So-called prefix conjugations actually takes both prefixes and suffixes, with the prefixes primarily indicating person (and sometimes number or gender), while the suffixes (which are completely different from those used in the suffix conjugation) indicate number and gender whenever the prefix does not mark this. The prefix conjugation is noted for a particular pattern of ʔ- t- y- n- prefixes where (1) a t- prefix is used in the singular to mark the second person and third-person feminine, while a y- prefix marks the third-person masculine; and (2) identical words are used for second-person masculine and third-person feminine singular. The prefix conjugation is extremely old, with clear analogues in nearly all the families of Afroasiatic languages (i.e. at least 10,000 years old). The table on the right shows examples of the prefix and suffix conjugations in Classical Arabic, which has forms that are close to Proto-Semitic. In Proto-Semitic, as still largely reflected in East Semitic, prefix conjugations are used both for the past and the non-past, with different vocalizations. Cf. Akkadian niprus "we decided" (preterite), niptaras "we have decided" (perfect), niparras "we decide" (non-past or imperfect), vs. suffix-conjugated parsānu "we are/were/will be deciding" (stative). Some of these features, e.g. gemination indicating the non-past/imperfect, are generally attributed to Afroasiatic. Proto-Semitic had an additional form, the jussive, which was distinguished from the preterite only by the position of stress: the jussive had final stress while the preterite had non-final (retracted) stress. The West Semitic languages significantly reshaped the system. The most substantial changes occurred in the Central Semitic languages (the ancestors of modern Hebrew, Arabic and Aramaic). Essentially, the old prefix-conjugated jussive or preterite became a new non-past (or imperfect), while the stative became a new past (or perfect), and the old prefix-conjugated non-past (or imperfect) with gemination was discarded. New suffixes were used to mark different moods in the non-past, e.g. Classical Arabic -u (indicative), -a (subjunctive), vs no suffix (jussive). It is not generally agreed whether the systems of the various Semitic languages are better interpreted in terms of tense, i.e. past vs. non-past, or aspect, i.e. perfect vs. imperfect. A special feature in classical Hebrew is the waw-consecutive, prefixing a verb form with the letter waw in order to change its tense or aspect. The South Semitic languages show a system somewhere between the East and Central Semitic languages. Later languages show further developments. In the modern varieties of Arabic, for example, the old mood suffixes were dropped, and new mood prefixes developed (e.g. bi- for indicative vs. no prefix for subjunctive in many varieties). In the extreme case of Neo-Aramaic, the verb conjugations have been entirely reworked under Iranian influence. All Semitic languages exhibit a unique pattern of stems called Semitic roots consisting typically of triliteral, or three-consonant consonantal roots (two- and four-consonant roots also exist), from which nouns, adjectives, and verbs are formed in various ways (e.g., by inserting vowels, doubling consonants, lengthening vowels or by adding prefixes, suffixes, or infixes). For instance, the root k-t-b (dealing with "writing" generally) yields in Arabic: and the same root in Hebrew: (Underlined consonants ⟨ḵ⟩, ⟨ṯ⟩, ⟨ḇ⟩ represent the fricatives /x/, /θ/, /v/ respectively.) In Tigrinya and Amharic, this root was used widely but is now seen as an archaic form. Ethiopic-derived languages use different roots for things that have to do with writing (and in some cases counting). The primitive root ṣ-f and the trilateral root stems m-ṣ-f, ṣ-h-f, and ṣ-f-r are used. This root also exists in other Semitic languages, such as Hebrew: sep̄er "book", sōp̄er "scribe", mispār "number", and sippūr "story". This root also exists in Arabic and is used to form words with a close meaning to "writing", such as ṣaḥāfa "journalism", and ṣaḥīfa "newspaper" or "parchment". Verbs in other non-Semitic Afroasiatic languages show similar radical patterns, but more usually with biconsonantal roots; e.g. Kabyle afeg means "fly!", while affug means "flight", and yufeg means "he flew" (compare with Hebrew, where hap̄lēḡ means "set sail!", hap̄lāḡā means "a sailing trip", and hip̄līḡ means "he sailed", while the unrelated ʕūp̄, təʕūp̄ā, and ʕāp̄ pertain to flight). These are the basic numeral stems without feminine suffixes. In most older Semitic languages, the forms of the numerals from 3 to 10 exhibit polarity of gender (also called "chiastic concord" or "reverse agreement"), i.e. if the counted noun is masculine, the numeral would be feminine and vice versa. Some early Semitic languages are speculated to have had weak ergative features. Common vocabulary Due to the Semitic languages' common origin, they share some words and roots. Others differ. For example: Terms given in brackets are not derived from the respective Proto-Semitic roots, though they may also derive from Proto-Semitic (as does e.g. Arabic dār, cf. Biblical Hebrew dōr "dwelling"). Sometimes, certain roots differ in meaning from one Semitic language to another. For example, the root b-y-ḍ in Arabic has the meaning of "white" as well as "egg", whereas in Hebrew it only means "egg". The root l-b-n means "milk" in Arabic, but the color "white" in Hebrew. The root l-ḥ-m means "meat" in Arabic, but "bread" in Hebrew and "cow" in Ethiopian Semitic; the original meaning was most probably "food". The word medina (root: d-y-n/d-w-n) has the meaning of "metropolis" in Amharic, "city" in Arabic and Ancient Hebrew, and "State" in Modern Hebrew. There is sometimes no relation between the roots. For example, "knowledge" is represented in Hebrew by the root y-d-ʿ, but in Arabic by the roots ʿ-r-f and ʿ-l-m and in Ethiosemitic by the roots ʿ-w-q and f-l-ṭ. For more comparative vocabulary lists, see the Wiktionary appendix List of Proto-Semitic stems. Classification There are six fairly uncontroversial nodes within the Semitic languages: East Semitic, Northwest Semitic, North Arabian, Old South Arabian (also known as Sayhadic), Modern South Arabian, and Ethiopian Semitic. These are generally grouped further, but there is ongoing debate as to which belong together. The classification based on shared innovations given below, established by Robert Hetzron in 1976 and with later emendations by John Huehnergard and Rodgers as summarized in Hetzron 1997, is the most widely accepted today. In particular, several Semiticists still argue for the traditional (partially nonlinguistic) view of Arabic as part of South Semitic, and a few (e.g. Alexander Militarev or the German-Egyptian professor Arafa Hussein Mustafa[citation needed]) see Modern South Arabian as a third branch of Semitic alongside East and West Semitic, rather than as a subgroup of South Semitic. However, a new classification groups Old South Arabian as Central Semitic instead. Roger Blench notes that the Gurage languages are highly divergent and wonders whether they might not be a primary branch, reflecting an origin of Afroasiatic in or near Ethiopia. At a lower level, there is still no general agreement on where to draw the line between "languages" and "dialects" – an issue particularly relevant in Arabic, Aramaic and Gurage – and the strong mutual influences between Arabic dialects render a genetic subclassification of them particularly difficult. A computational phylogenetic analysis by Kitchen et al. (2009) considers the Semitic languages to have originated in the Levant c. 3750 BCE during the Early Bronze Age, with early Ethiosemitic originating from southern Arabia c. 800 BCE. Evidence for gene movements consistent with this were found in Almarri et al. (2021). The Himyaritic and Sutean languages appear to have been Semitic, but are unclassified due to insufficient data. See also Notes References Bibliography External links |
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[SOURCE: https://en.wikipedia.org/wiki/Synchronous_orbit] | [TOKENS: 678] |
Contents Synchronous orbit A synchronous orbit is an orbit in which an orbiting body (usually a satellite) has a period equal to the average rotational period of the body being orbited (usually a planet), and in the same direction of rotation as that body. Simplified meaning A synchronous orbit is an orbit in which the orbiting object (for example, an artificial satellite or a moon) takes the same amount of time to complete an orbit as it takes the object it is orbiting to rotate once. Properties A satellite in a synchronous orbit that is both equatorial and circular will appear to be suspended motionless above a point on the orbited planet's equator. For synchronous satellites orbiting Earth, this is also known as a geostationary orbit. However, a synchronous orbit need not be equatorial; nor circular. A body in a non-equatorial synchronous orbit will appear to oscillate north and south above a point on the planet's equator, whereas a body in an elliptical orbit will appear to oscillate eastward and westward. As seen from the orbited body the combination of these two motions produces a figure-8 pattern called an analemma. Nomenclature There are many specialized terms for synchronous orbits depending on the body orbited. The following are some of the more common ones. A synchronous orbit around Earth that is circular and lies in the equatorial plane is called a geostationary orbit. The more general case, when the orbit is inclined to Earth's equator or is non-circular is called a geosynchronous orbit. The corresponding terms for synchronous orbits around Mars are areostationary and areosynchronous orbits. Formula For a stationary synchronous orbit: R s y n = G ( m 2 ) T 2 4 π 2 3 {\displaystyle R_{syn}={\sqrt[{3}]{G(m_{2})T^{2} \over 4\pi ^{2}}}} where: By this formula, one can find the synchronous orbital radius of a body, given its mass and sidereal rotational period. Orbital speed (how fast a satellite is moving through space) is calculated by multiplying the angular speed of the satellite by the orbital radius. Due to obscure quirks of orbital mechanics, no tidally locked body in a 1:1 spin-orbit resonance (i.e. a moon locked to a planet or a planet locked to a star) can have a stable satellite in a synchronous orbit, as the synchronous orbital radius lies outside the body's Hill sphere. This is universal and irrespective of the masses and distances involved. Examples An astronomical example is Pluto's largest moon Charon. Much more commonly, synchronous orbits are employed by artificial satellites used for communication, such as geostationary satellites. For natural satellites, which can attain a synchronous orbit only by tidally locking their parent body, it always goes in hand with synchronous rotation of the satellite. This is because the smaller body becomes tidally locked faster, and by the time a synchronous orbit is achieved, it has had a locked synchronous rotation for a long time already.[citation needed] The following table lists select Solar System bodies' masses, sidereal rotational periods, and the semi-major axises and altitudes of their synchronous orbital radii (calculated by the formula in the above section): See also References |
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[SOURCE: https://en.wikipedia.org/wiki/Animal#cite_note-EUstatistics2013-184] | [TOKENS: 6011] |
Contents Animal Animals are multicellular, eukaryotic organisms belonging to the biological kingdom Animalia (/ˌænɪˈmeɪliə/). With few exceptions, animals consume organic material, breathe oxygen, have myocytes and are able to move, can reproduce sexually, and grow from a hollow sphere of cells, the blastula, during embryonic development. Animals form a clade, meaning that they arose from a single common ancestor. Over 1.5 million living animal species have been described, of which around 1.05 million are insects, over 85,000 are molluscs, and around 65,000 are vertebrates. It has been estimated there are as many as 7.77 million animal species on Earth. Animal body lengths range from 8.5 μm (0.00033 in) to 33.6 m (110 ft). They have complex ecologies and interactions with each other and their environments, forming intricate food webs. The scientific study of animals is known as zoology, and the study of animal behaviour is known as ethology. The animal kingdom is divided into five major clades, namely Porifera, Ctenophora, Placozoa, Cnidaria and Bilateria. Most living animal species belong to the clade Bilateria, a highly proliferative clade whose members have a bilaterally symmetric and significantly cephalised body plan, and the vast majority of bilaterians belong to two large clades: the protostomes, which includes organisms such as arthropods, molluscs, flatworms, annelids and nematodes; and the deuterostomes, which include echinoderms, hemichordates and chordates, the latter of which contains the vertebrates. The much smaller basal phylum Xenacoelomorpha have an uncertain position within Bilateria. Animals first appeared in the fossil record in the late Cryogenian period and diversified in the subsequent Ediacaran period in what is known as the Avalon explosion. Nearly all modern animal phyla first appeared in the fossil record as marine species during the Cambrian explosion, which began around 539 million years ago (Mya), and most classes during the Ordovician radiation 485.4 Mya. Common to all living animals, 6,331 groups of genes have been identified that may have arisen from a single common ancestor that lived about 650 Mya during the Cryogenian period. Historically, Aristotle divided animals into those with blood and those without. Carl Linnaeus created the first hierarchical biological classification for animals in 1758 with his Systema Naturae, which Jean-Baptiste Lamarck expanded into 14 phyla by 1809. In 1874, Ernst Haeckel divided the animal kingdom into the multicellular Metazoa (now synonymous with Animalia) and the Protozoa, single-celled organisms no longer considered animals. In modern times, the biological classification of animals relies on advanced techniques, such as molecular phylogenetics, which are effective at demonstrating the evolutionary relationships between taxa. Humans make use of many other animal species for food (including meat, eggs, and dairy products), for materials (such as leather, fur, and wool), as pets and as working animals for transportation, and services. Dogs, the first domesticated animal, have been used in hunting, in security and in warfare, as have horses, pigeons and birds of prey; while other terrestrial and aquatic animals are hunted for sports, trophies or profits. Non-human animals are also an important cultural element of human evolution, having appeared in cave arts and totems since the earliest times, and are frequently featured in mythology, religion, arts, literature, heraldry, politics, and sports. Etymology The word animal comes from the Latin noun animal of the same meaning, which is itself derived from Latin animalis 'having breath or soul'. The biological definition includes all members of the kingdom Animalia. In colloquial usage, the term animal is often used to refer only to nonhuman animals. The term metazoa is derived from Ancient Greek μετα meta 'after' (in biology, the prefix meta- stands for 'later') and ζῷᾰ zōia 'animals', plural of ζῷον zōion 'animal'. A metazoan is any member of the group Metazoa. Characteristics Animals have several characteristics that they share with other living things. Animals are eukaryotic, multicellular, and aerobic, as are plants and fungi. Unlike plants and algae, which produce their own food, animals cannot produce their own food, a feature they share with fungi. Animals ingest organic material and digest it internally. Animals have structural characteristics that set them apart from all other living things: Typically, there is an internal digestive chamber with either one opening (in Ctenophora, Cnidaria, and flatworms) or two openings (in most bilaterians). Animal development is controlled by Hox genes, which signal the times and places to develop structures such as body segments and limbs. During development, the animal extracellular matrix forms a relatively flexible framework upon which cells can move about and be reorganised into specialised tissues and organs, making the formation of complex structures possible, and allowing cells to be differentiated. The extracellular matrix may be calcified, forming structures such as shells, bones, and spicules. In contrast, the cells of other multicellular organisms (primarily algae, plants, and fungi) are held in place by cell walls, and so develop by progressive growth. Nearly all animals make use of some form of sexual reproduction. They produce haploid gametes by meiosis; the smaller, motile gametes are spermatozoa and the larger, non-motile gametes are ova. These fuse to form zygotes, which develop via mitosis into a hollow sphere, called a blastula. In sponges, blastula larvae swim to a new location, attach to the seabed, and develop into a new sponge. In most other groups, the blastula undergoes more complicated rearrangement. It first invaginates to form a gastrula with a digestive chamber and two separate germ layers, an external ectoderm and an internal endoderm. In most cases, a third germ layer, the mesoderm, also develops between them. These germ layers then differentiate to form tissues and organs. Repeated instances of mating with a close relative during sexual reproduction generally leads to inbreeding depression within a population due to the increased prevalence of harmful recessive traits. Animals have evolved numerous mechanisms for avoiding close inbreeding. Some animals are capable of asexual reproduction, which often results in a genetic clone of the parent. This may take place through fragmentation; budding, such as in Hydra and other cnidarians; or parthenogenesis, where fertile eggs are produced without mating, such as in aphids. Ecology Animals are categorised into ecological groups depending on their trophic levels and how they consume organic material. Such groupings include carnivores (further divided into subcategories such as piscivores, insectivores, ovivores, etc.), herbivores (subcategorised into folivores, graminivores, frugivores, granivores, nectarivores, algivores, etc.), omnivores, fungivores, scavengers/detritivores, and parasites. Interactions between animals of each biome form complex food webs within that ecosystem. In carnivorous or omnivorous species, predation is a consumer–resource interaction where the predator feeds on another organism, its prey, who often evolves anti-predator adaptations to avoid being fed upon. Selective pressures imposed on one another lead to an evolutionary arms race between predator and prey, resulting in various antagonistic/competitive coevolutions. Almost all multicellular predators are animals. Some consumers use multiple methods; for example, in parasitoid wasps, the larvae feed on the hosts' living tissues, killing them in the process, but the adults primarily consume nectar from flowers. Other animals may have very specific feeding behaviours, such as hawksbill sea turtles which mainly eat sponges. Most animals rely on biomass and bioenergy produced by plants and phytoplanktons (collectively called producers) through photosynthesis. Herbivores, as primary consumers, eat the plant material directly to digest and absorb the nutrients, while carnivores and other animals on higher trophic levels indirectly acquire the nutrients by eating the herbivores or other animals that have eaten the herbivores. Animals oxidise carbohydrates, lipids, proteins and other biomolecules in cellular respiration, which allows the animal to grow and to sustain basal metabolism and fuel other biological processes such as locomotion. Some benthic animals living close to hydrothermal vents and cold seeps on the dark sea floor consume organic matter produced through chemosynthesis (via oxidising inorganic compounds such as hydrogen sulfide) by archaea and bacteria. Animals originated in the ocean; all extant animal phyla, except for Micrognathozoa and Onychophora, feature at least some marine species. However, several lineages of arthropods begun to colonise land around the same time as land plants, probably between 510 and 471 million years ago, during the Late Cambrian or Early Ordovician. Vertebrates such as the lobe-finned fish Tiktaalik started to move on to land in the late Devonian, about 375 million years ago. Other notable animal groups that colonized land environments are Mollusca, Platyhelmintha, Annelida, Tardigrada, Onychophora, Rotifera, Nematoda. Animals occupy virtually all of earth's habitats and microhabitats, with faunas adapted to salt water, hydrothermal vents, fresh water, hot springs, swamps, forests, pastures, deserts, air, and the interiors of other organisms. Animals are however not particularly heat tolerant; very few of them can survive at constant temperatures above 50 °C (122 °F) or in the most extreme cold deserts of continental Antarctica. The collective global geomorphic influence of animals on the processes shaping the Earth's surface remains largely understudied, with most studies limited to individual species and well-known exemplars. Diversity The blue whale (Balaenoptera musculus) is the largest animal that has ever lived, weighing up to 190 tonnes and measuring up to 33.6 metres (110 ft) long. The largest extant terrestrial animal is the African bush elephant (Loxodonta africana), weighing up to 12.25 tonnes and measuring up to 10.67 metres (35.0 ft) long. The largest terrestrial animals that ever lived were titanosaur sauropod dinosaurs such as Argentinosaurus, which may have weighed as much as 73 tonnes, and Supersaurus which may have reached 39 metres. Several animals are microscopic; some Myxozoa (obligate parasites within the Cnidaria) never grow larger than 20 μm, and one of the smallest species (Myxobolus shekel) is no more than 8.5 μm when fully grown. The following table lists estimated numbers of described extant species for the major animal phyla, along with their principal habitats (terrestrial, fresh water, and marine), and free-living or parasitic ways of life. Species estimates shown here are based on numbers described scientifically; much larger estimates have been calculated based on various means of prediction, and these can vary wildly. For instance, around 25,000–27,000 species of nematodes have been described, while published estimates of the total number of nematode species include 10,000–20,000; 500,000; 10 million; and 100 million. Using patterns within the taxonomic hierarchy, the total number of animal species—including those not yet described—was calculated to be about 7.77 million in 2011.[a] 3,000–6,500 4,000–25,000 Evolutionary origin Evidence of animals is found as long ago as the Cryogenian period. 24-Isopropylcholestane (24-ipc) has been found in rocks from roughly 650 million years ago; it is only produced by sponges and pelagophyte algae. Its likely origin is from sponges based on molecular clock estimates for the origin of 24-ipc production in both groups. Analyses of pelagophyte algae consistently recover a Phanerozoic origin, while analyses of sponges recover a Neoproterozoic origin, consistent with the appearance of 24-ipc in the fossil record. The first body fossils of animals appear in the Ediacaran, represented by forms such as Charnia and Spriggina. It had long been doubted whether these fossils truly represented animals, but the discovery of the animal lipid cholesterol in fossils of Dickinsonia establishes their nature. Animals are thought to have originated under low-oxygen conditions, suggesting that they were capable of living entirely by anaerobic respiration, but as they became specialised for aerobic metabolism they became fully dependent on oxygen in their environments. Many animal phyla first appear in the fossil record during the Cambrian explosion, starting about 539 million years ago, in beds such as the Burgess Shale. Extant phyla in these rocks include molluscs, brachiopods, onychophorans, tardigrades, arthropods, echinoderms and hemichordates, along with numerous now-extinct forms such as the predatory Anomalocaris. The apparent suddenness of the event may however be an artefact of the fossil record, rather than showing that all these animals appeared simultaneously. That view is supported by the discovery of Auroralumina attenboroughii, the earliest known Ediacaran crown-group cnidarian (557–562 mya, some 20 million years before the Cambrian explosion) from Charnwood Forest, England. It is thought to be one of the earliest predators, catching small prey with its nematocysts as modern cnidarians do. Some palaeontologists have suggested that animals appeared much earlier than the Cambrian explosion, possibly as early as 1 billion years ago. Early fossils that might represent animals appear for example in the 665-million-year-old rocks of the Trezona Formation of South Australia. These fossils are interpreted as most probably being early sponges. Trace fossils such as tracks and burrows found in the Tonian period (from 1 gya) may indicate the presence of triploblastic worm-like animals, roughly as large (about 5 mm wide) and complex as earthworms. However, similar tracks are produced by the giant single-celled protist Gromia sphaerica, so the Tonian trace fossils may not indicate early animal evolution. Around the same time, the layered mats of microorganisms called stromatolites decreased in diversity, perhaps due to grazing by newly evolved animals. Objects such as sediment-filled tubes that resemble trace fossils of the burrows of wormlike animals have been found in 1.2 gya rocks in North America, in 1.5 gya rocks in Australia and North America, and in 1.7 gya rocks in Australia. Their interpretation as having an animal origin is disputed, as they might be water-escape or other structures. Phylogeny Animals are monophyletic, meaning they are derived from a common ancestor. Animals are the sister group to the choanoflagellates, with which they form the Choanozoa. Ros-Rocher and colleagues (2021) trace the origins of animals to unicellular ancestors, providing the external phylogeny shown in the cladogram. Uncertainty of relationships is indicated with dashed lines. The animal clade had certainly originated by 650 mya, and may have come into being as much as 800 mya, based on molecular clock evidence for different phyla. Holomycota (inc. fungi) Ichthyosporea Pluriformea Filasterea The relationships at the base of the animal tree have been debated. Other than Ctenophora, the Bilateria and Cnidaria are the only groups with symmetry, and other evidence shows they are closely related. In addition to sponges, Placozoa has no symmetry and was often considered a "missing link" between protists and multicellular animals. The presence of hox genes in Placozoa shows that they were once more complex. The Porifera (sponges) have long been assumed to be sister to the rest of the animals, but there is evidence that the Ctenophora may be in that position. Molecular phylogenetics has supported both the sponge-sister and ctenophore-sister hypotheses. In 2017, Roberto Feuda and colleagues, using amino acid differences, presented both, with the following cladogram for the sponge-sister view that they supported (their ctenophore-sister tree simply interchanging the places of ctenophores and sponges): Porifera Ctenophora Placozoa Cnidaria Bilateria Conversely, a 2023 study by Darrin Schultz and colleagues uses ancient gene linkages to construct the following ctenophore-sister phylogeny: Ctenophora Porifera Placozoa Cnidaria Bilateria Sponges are physically very distinct from other animals, and were long thought to have diverged first, representing the oldest animal phylum and forming a sister clade to all other animals. Despite their morphological dissimilarity with all other animals, genetic evidence suggests sponges may be more closely related to other animals than the comb jellies are. Sponges lack the complex organisation found in most other animal phyla; their cells are differentiated, but in most cases not organised into distinct tissues, unlike all other animals. They typically feed by drawing in water through pores, filtering out small particles of food. The Ctenophora and Cnidaria are radially symmetric and have digestive chambers with a single opening, which serves as both mouth and anus. Animals in both phyla have distinct tissues, but these are not organised into discrete organs. They are diploblastic, having only two main germ layers, ectoderm and endoderm. The tiny placozoans have no permanent digestive chamber and no symmetry; they superficially resemble amoebae. Their phylogeny is poorly defined, and under active research. The remaining animals, the great majority—comprising some 29 phyla and over a million species—form the Bilateria clade, which have a bilaterally symmetric body plan. The Bilateria are triploblastic, with three well-developed germ layers, and their tissues form distinct organs. The digestive chamber has two openings, a mouth and an anus, and in the Nephrozoa there is an internal body cavity, a coelom or pseudocoelom. These animals have a head end (anterior) and a tail end (posterior), a back (dorsal) surface and a belly (ventral) surface, and a left and a right side. A modern consensus phylogenetic tree for the Bilateria is shown below. Xenacoelomorpha Ambulacraria Chordata Ecdysozoa Spiralia Having a front end means that this part of the body encounters stimuli, such as food, favouring cephalisation, the development of a head with sense organs and a mouth. Many bilaterians have a combination of circular muscles that constrict the body, making it longer, and an opposing set of longitudinal muscles, that shorten the body; these enable soft-bodied animals with a hydrostatic skeleton to move by peristalsis. They also have a gut that extends through the basically cylindrical body from mouth to anus. Many bilaterian phyla have primary larvae which swim with cilia and have an apical organ containing sensory cells. However, over evolutionary time, descendant spaces have evolved which have lost one or more of each of these characteristics. For example, adult echinoderms are radially symmetric (unlike their larvae), while some parasitic worms have extremely simplified body structures. Genetic studies have considerably changed zoologists' understanding of the relationships within the Bilateria. Most appear to belong to two major lineages, the protostomes and the deuterostomes. It is often suggested that the basalmost bilaterians are the Xenacoelomorpha, with all other bilaterians belonging to the subclade Nephrozoa. However, this suggestion has been contested, with other studies finding that xenacoelomorphs are more closely related to Ambulacraria than to other bilaterians. Protostomes and deuterostomes differ in several ways. Early in development, deuterostome embryos undergo radial cleavage during cell division, while many protostomes (the Spiralia) undergo spiral cleavage. Animals from both groups possess a complete digestive tract, but in protostomes the first opening of the embryonic gut develops into the mouth, and the anus forms secondarily. In deuterostomes, the anus forms first while the mouth develops secondarily. Most protostomes have schizocoelous development, where cells simply fill in the interior of the gastrula to form the mesoderm. In deuterostomes, the mesoderm forms by enterocoelic pouching, through invagination of the endoderm. The main deuterostome taxa are the Ambulacraria and the Chordata. Ambulacraria are exclusively marine and include acorn worms, starfish, sea urchins, and sea cucumbers. The chordates are dominated by the vertebrates (animals with backbones), which consist of fishes, amphibians, reptiles, birds, and mammals. The protostomes include the Ecdysozoa, named after their shared trait of ecdysis, growth by moulting, Among the largest ecdysozoan phyla are the arthropods and the nematodes. The rest of the protostomes are in the Spiralia, named for their pattern of developing by spiral cleavage in the early embryo. Major spiralian phyla include the annelids and molluscs. History of classification In the classical era, Aristotle divided animals,[d] based on his own observations, into those with blood (roughly, the vertebrates) and those without. The animals were then arranged on a scale from man (with blood, two legs, rational soul) down through the live-bearing tetrapods (with blood, four legs, sensitive soul) and other groups such as crustaceans (no blood, many legs, sensitive soul) down to spontaneously generating creatures like sponges (no blood, no legs, vegetable soul). Aristotle was uncertain whether sponges were animals, which in his system ought to have sensation, appetite, and locomotion, or plants, which did not: he knew that sponges could sense touch and would contract if about to be pulled off their rocks, but that they were rooted like plants and never moved about. In 1758, Carl Linnaeus created the first hierarchical classification in his Systema Naturae. In his original scheme, the animals were one of three kingdoms, divided into the classes of Vermes, Insecta, Pisces, Amphibia, Aves, and Mammalia. Since then, the last four have all been subsumed into a single phylum, the Chordata, while his Insecta (which included the crustaceans and arachnids) and Vermes have been renamed or broken up. The process was begun in 1793 by Jean-Baptiste de Lamarck, who called the Vermes une espèce de chaos ('a chaotic mess')[e] and split the group into three new phyla: worms, echinoderms, and polyps (which contained corals and jellyfish). By 1809, in his Philosophie Zoologique, Lamarck had created nine phyla apart from vertebrates (where he still had four phyla: mammals, birds, reptiles, and fish) and molluscs, namely cirripedes, annelids, crustaceans, arachnids, insects, worms, radiates, polyps, and infusorians. In his 1817 Le Règne Animal, Georges Cuvier used comparative anatomy to group the animals into four embranchements ('branches' with different body plans, roughly corresponding to phyla), namely vertebrates, molluscs, articulated animals (arthropods and annelids), and zoophytes (radiata) (echinoderms, cnidaria and other forms). This division into four was followed by the embryologist Karl Ernst von Baer in 1828, the zoologist Louis Agassiz in 1857, and the comparative anatomist Richard Owen in 1860. In 1874, Ernst Haeckel divided the animal kingdom into two subkingdoms: Metazoa (multicellular animals, with five phyla: coelenterates, echinoderms, articulates, molluscs, and vertebrates) and Protozoa (single-celled animals), including a sixth animal phylum, sponges. The protozoa were later moved to the former kingdom Protista, leaving only the Metazoa as a synonym of Animalia. In human culture The human population exploits a large number of other animal species for food, both of domesticated livestock species in animal husbandry and, mainly at sea, by hunting wild species. Marine fish of many species are caught commercially for food. A smaller number of species are farmed commercially. Humans and their livestock make up more than 90% of the biomass of all terrestrial vertebrates, and almost as much as all insects combined. Invertebrates including cephalopods, crustaceans, insects—principally bees and silkworms—and bivalve or gastropod molluscs are hunted or farmed for food, fibres. Chickens, cattle, sheep, pigs, and other animals are raised as livestock for meat across the world. Animal fibres such as wool and silk are used to make textiles, while animal sinews have been used as lashings and bindings, and leather is widely used to make shoes and other items. Animals have been hunted and farmed for their fur to make items such as coats and hats. Dyestuffs including carmine (cochineal), shellac, and kermes have been made from the bodies of insects. Working animals including cattle and horses have been used for work and transport from the first days of agriculture. Animals such as the fruit fly Drosophila melanogaster serve a major role in science as experimental models. Animals have been used to create vaccines since their discovery in the 18th century. Some medicines such as the cancer drug trabectedin are based on toxins or other molecules of animal origin. People have used hunting dogs to help chase down and retrieve animals, and birds of prey to catch birds and mammals, while tethered cormorants have been used to catch fish. Poison dart frogs have been used to poison the tips of blowpipe darts. A wide variety of animals are kept as pets, from invertebrates such as tarantulas, octopuses, and praying mantises, reptiles such as snakes and chameleons, and birds including canaries, parakeets, and parrots all finding a place. However, the most kept pet species are mammals, namely dogs, cats, and rabbits. There is a tension between the role of animals as companions to humans, and their existence as individuals with rights of their own. A wide variety of terrestrial and aquatic animals are hunted for sport. The signs of the Western and Chinese zodiacs are based on animals. In China and Japan, the butterfly has been seen as the personification of a person's soul, and in classical representation the butterfly is also the symbol of the soul. Animals have been the subjects of art from the earliest times, both historical, as in ancient Egypt, and prehistoric, as in the cave paintings at Lascaux. Major animal paintings include Albrecht Dürer's 1515 The Rhinoceros, and George Stubbs's c. 1762 horse portrait Whistlejacket. Insects, birds and mammals play roles in literature and film, such as in giant bug movies. Animals including insects and mammals feature in mythology and religion. The scarab beetle was sacred in ancient Egypt, and the cow is sacred in Hinduism. Among other mammals, deer, horses, lions, bats, bears, and wolves are the subjects of myths and worship. See also Notes References External links |
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[SOURCE: https://en.wikipedia.org/wiki/Adenine] | [TOKENS: 921] |
Contents Adenine Adenine[a] (symbol A, or Ade) is a purine nucleotide base that is found in DNA, RNA, and ATP. Usually a white crystalline subtance. The shape of adenine is complementary and pairs to either thymine in DNA or uracil in RNA. In cells adenine, as an independent molecule, is rare. It is almost always covalently bound to become a part of a larger biomolecule. Adenine has a central role in cellular respiration. It is part of adenosine triphosphate which provides the energy that drives and supports most activities in living cells, such as protein synthesis, chemical synthesis, muscle contraction, and nerve impulse propagation. In respiration it also participates as part of the cofactors nicotinamide adenine dinucleotide, flavin adenine dinucleotide, and Coenzyme A. It is also part of adenosine, adenosine monophosphate, cyclic adenosine monophosphate, adenosine diphosphate, and S-adenosylmethionine. Structure Adenine forms several tautomers, compounds that can be rapidly interconverted and are often considered equivalent. However, in isolated conditions, i.e. in an inert gas matrix and in the gas phase, mainly the 9H-adenine tautomer is found. Biosynthesis Purine metabolism involves the formation of adenine and guanine. Both adenine and guanine are derived from the nucleotide inosine monophosphate (IMP), which in turn is synthesized from a pre-existing ribose phosphate through a complex pathway using atoms from the amino acids glycine, glutamine, and aspartic acid, as well as the coenzyme tetrahydrofolate. Patented August 20, 1968, the current recognized method of industrial-scale production of adenine involves heating formamide under 120 °C. Function Adenine is one of the two purine nucleobases (the other being guanine) used in forming nucleotides of the nucleic acids. In DNA, adenine binds to thymine via two hydrogen bonds to assist in stabilizing the nucleic acid structures. In RNA, which is used for protein synthesis, adenine binds to uracil. Adenine forms adenosine, a nucleoside, when attached to ribose, and deoxyadenosine when attached to deoxyribose. It forms adenosine triphosphate (ATP), a nucleoside triphosphate, when three phosphate groups are added to adenosine. Adenosine triphosphate is used in cellular metabolism as one of the basic methods of transferring chemical energy between chemical reactions. ATP is thus a derivative of adenine, adenosine, cyclic adenosine monophosphate, and adenosine diphosphate. History In older literature, adenine was sometimes called Vitamin B4, but is no longer considered a vitamin. Due to it being synthesized by the body and not essential to be obtained by diet, it does not meet the definition of vitamin and is no longer part of the Vitamin B complex. However, two B vitamins, niacin and riboflavin, bind with adenine to form the essential cofactors nicotinamide adenine dinucleotide (NAD) and flavin adenine dinucleotide (FAD), respectively. Hermann Emil Fischer was one of the early scientists to study adenine. It was named in 1885 by Albrecht Kossel after Greek ἀδήν aden "gland", in reference to the pancreas, from which Kossel's sample had been extracted. Adenine can be prepared from ammonia and hydrogen cyanide (HCN) in aqueous solution, a process that has implications for the origin of life on Earth. On August 8, 2011, a report, based on NASA studies with meteorites found on Earth, was published suggesting building blocks of DNA and RNA (adenine, guanine and related organic molecules) may have been formed extraterrestrially in outer space. In 2011, physicists reported that adenine has an "unexpectedly variable range of ionization energies along its reaction pathways" which suggested that "understanding experimental data on how adenine survives exposure to UV light is much more complicated than previously thought"; these findings have implications for spectroscopic measurements of heterocyclic compounds, according to one report. Notes References External links |
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[SOURCE: https://en.wikipedia.org/wiki/Soqotri_language] | [TOKENS: 2322] |
Contents Soqotri language Soqotri[a] is a South Semitic language spoken by the Soqotrans on the islands of the Socotra Archipelago in Yemen. Soqotri is one of six languages that form a group called Modern South Arabian languages (MSAL). It is also spoken by Soqotri immigrants in the Gulf Arab states. Classification Soqotri is often mistaken as a variety of Arabic but is typically classified as an Afro-Asiatic, Semitic, South Semitic and South Arabian language. Scholars believe that there are no longer any grounds for associating the Modern South Arabian languages so directly with Arabic. They consider these dialects to be not Arabic, but Semitic languages in their own right. Dialects The Soqotri dialectology is very rich, especially considering the island's surface area and the number of inhabitants. Soqotri speakers live on their islands, but rarely on the Yemeni mainland. The language was, throughout its history, isolated from the Arabian mainland. Arabic is also spoken in a dialectal form on Socotra. There are three main dialects of Soqotri: Eastern Soqotri Dialect, Central Soqotri Dialect and Western Soqotri Dialect. Geographic distribution The total population of Soqotri users throughout Yemen is 57,000 (1990 census), and total users in all countries is 71,400. The language is also spoken by Soqotri immigrants in the Gulf Arab states, mainly in Ajman in the United Arab Emirates. Soqotri has no official status. It is a language of Yemen where it is spoken mainly on the islands of the Socotra Governorate: 'Abd al Kuri, Darsah, Samha, and Soqotra islands in the Gulf of Aden. Status Arabic is now the symbolic, or more ideological, articulation of the nation's identity, making it the privileged lingua franca of the nation. The government has also taken up an inclination of neglect toward the Soqotri language. This seems to based on the view that Soqotri is only a dialect rather than a language itself. There is also no cultural policy on what should be done about the remaining oral non-Arabic languages of Yemen, include Soqotri and Mehri. The language is seen as an impediment to progress because of the new generation's judgement of it as being irrelevant in helping to improve the socio-economic status of the island. Limitations to Soqotri, such as not being able to communicate through writing, are also viewed as obstacles by the youth that makes up 60% of the population. There seems to be cultural sentiments toward the language but yet an indifference due to neglect and the notion of hindrance associated with it. Hence, Soqotri is regarded as a severely endangered language and a main concern toward the lack of research in Soqotri language field is not only related to the semitics, but to the Soqotri folklore heritage conservation. This isolated island has high pressures of modernization and with a rapidly changing cultural environment, there is a possibility of losing valuable strata of the Soqotran folklore heritage. Poetry and song used to be a normal part of everyday life for people on the island, a way of communicating with others, no matter if they were human, animal, spirits of the dead, jinn sorcerers, or the divine. However, Soqotri poetry has been overlooked and the skill of the island's poets ignored. Phonology The isolation of the island of Socotra has led to the Soqotri language independently developing certain phonetic characteristics absent in even the closely related languages of the mainland. Soqotri lost interdentals θ, ð, and θʼ and merged them with t, d and tˤ: e.g. Soqotri has dor "blood" where Shehri has ðɔhr and Mehri has ðōrə; Soqotri has tˤarb (a piece of wood), where Shehri and Mehri have θʼarb; Soqotri tri/trɔ (two) where Shehri has θroh and Mehri has θərō. Soqotri emphatics (except /lˠ/) used to be ejective consonants. However, ejectives have largely become pharyngealized consonants as in Arabic, with the exception of /kʼ/. Writing system An Arabic-based alphabet for the Soqotri language was developed in 2014 by a Russian team led by Vitaly Naumkin after five years of work. It can be found in his book Corpus of Soqotri Oral Literature. This orthography has helped narrators of oral lore collaborate with researchers to compose literature truthful to its origins. Grammar Soqotri has two sets of personal pronouns: independent or (free personal pronouns) and dependent or (bound personal pronouns). They inflect for person, number, and gender. The independent or free personal pronouns are those that occur independently as separate words. They stand on their own as substitutes for nouns or noun phrases. They refer to persons or entities. They are sometimes referred to as subject pronouns since they can serve as the subjects of the verbs, and they correspond to the set of English subject pronouns. These pronouns show differences in gender (masculine and feminine), number (singular, dual, and plural), and person (first, second, and third). There is no neutral pronoun in the Soqotri because there is no neutral gender in this language. Everything is referred to either as masculine or as feminine. The following tables contain the independent personal pronouns in the three Soqotri dialects. Another linguistic uniqueness in the far-western dialect of Qafiz is the possessive construction. This dialect, like all other Soqotri dialects, is based in the connective d-, followed by a pronoun. However, in this dialect, the connective is variable (like the relative pronoun): d- with a singular, and l- with a plural: dihet férham/ girl>'your (msg.) girl', des 'her'..., but lḥan, 'our', ltan 'your (pl.)', lyihan 'their (m.)', lisan 'their (f.)'. This variation highlights the link between connective, deictic and relative pronoun. In other dialects, a grammaticalization process took place and the singular form was frozen as a connecting invariable particle d-.[citation needed] In some dialects, the relative pronoun does not agree with plural: le-ēfœ DEI(PL)-people/ d- REL(SG)-that izeˤem sit/ b-fídəhɔn in-mountain le-ēfœ d- izeˤem b-fídəhɔn DEI(PL)-people/ REL(SG)-that sit/ in-mountain 'this people that stay in the mountain' (Rujed). In remote places, old people use the verbal, nominal and pronominal dual: eṭahérö we ho go (1DU)/I-and-of-me/ w-d-ho younger ḳaḳa brother/ ḳalansíye Qalansiya eṭahérö ho w-d-ho ḳaḳa ḳalansíye we {go (1DU)/I-and-of-me/} younger brother/ Qalansiya 'I and my younger brother, we two go to Qalansiya' but many native speakers (young people or people in contact with Arabic) do not use verbal dual regularly: ˤeğébö they want (3DU) təṭhár go (SUBJ.3F.SG) (for təṭhárö) ˤeğébö təṭhár {they want (3DU)} {go (SUBJ.3F.SG)} 'They (both) want to go' and they use plural pronouns instead of the dual form: tten férhem <of-your (pl.)/girl>'your girl' for /tti férhem/ 'your girl' (to you both). Many people in contact with Arabic tend to use plural in all cases (verb or pronoun).[citation needed] Only the nominal dual occurs regularly. Cf. above, about the phono-morphological explanation for the two forms of negation. In many dialects, the verbal negation is the same with indicative and prohibitive. Vocabulary Lieutenant Wellstedt, who was part of a surveying mission in 1835, was the first to collect toponyms, tribe names, plant names, figures, and in total was able to put together a list of 236 Soqotri words. The words have no characteristics of the Western dialects and 41 words out of the 236 were noted as Arabic loans by Wellstedt. Some are really Arabic as beïdh (bayḍ) 'eggs' (ḳehélihen in Soqotri) or ˤajúz 'old woman' (Soqotri śíbīb), thob (tob) 'a shirt' (with interdental, absent from the Soqotri consonant system; tob in Soqotri means 'cloth'); many words belong to the old common Semitic vocabulary and are attested in both Arabic and Soqotri: edahn 'ears' (exactly ˤídəhen), ˤaṣábi 'fingers' (ˤəṣābe) etc. Religious poems show influence of Arabic with borrowings from classical Arabic vocabulary and Quranic expressions.[citation needed] Sample texts The following examples are couplets, which is the basic building block of Soqotri poetry and song. This is a straightforward humorous piece about a stingy fisherman with easy language usage that anyone on the island could easily understand. Translation: The next example is a line that most Soqotrans would not find too difficult to understand either: Literal translation: In order to understand this piece however, the listener has to know of the significance of the šeber plants. These plants, part of the Euphorbia plant group, survive long months of dry seasons and have a milky latex which goats often feed on in times of shortage. There is no nutritious benefit to it but, it helps rid of the goats' thirst. However, when goats feed on the latex from damaged plants, it stains their muzzles and causes sores in and around the mouth. The lines were made by a woman who had found out that her lover was bragging to others of his victories (he is being compared to the feeding goats). She is calling this out and warning other women to be careful of men of his like. References Further reading External links |
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[SOURCE: https://en.wikipedia.org/wiki/Guanine] | [TOKENS: 1492] |
Contents Guanine Guanine (/ˈɡwɑːniːn/ ⓘ) (symbol G or Gua) is one of the four main nucleotide bases found in the nucleic acids DNA and RNA, the others being adenine, cytosine, and thymine (uracil in RNA). In DNA, guanine is paired with cytosine. The guanine nucleoside is called guanosine. With the formula C5H5N5O, guanine is a derivative of purine, consisting of a fused pyrimidine-imidazole ring system with conjugated double bonds. This unsaturated arrangement means the bicyclic molecule is planar. Properties Guanine, along with adenine and cytosine, is present in both DNA and RNA, whereas thymine is usually seen only in DNA, and uracil only in RNA. Guanine has multiple tautomeric forms. For both the imidazole and pyrimidine rings, the proton can reside on either of the ring nitrogens. But a single tautomeric form dominates in nucleoside or nucleotide versions of guanine. Guanine binds to cytosine through three hydrogen bonds. In cytosine, the amino group acts as the hydrogen bond donor and the C-2 carbonyl and the N-3 amine as the hydrogen-bond acceptors. Guanine has the C-6 carbonyl group that acts as the hydrogen bond acceptor, while a group at N-1 and the amino group at C-2 act as the hydrogen bond donors.[citation needed] Guanine can be hydrolyzed with strong acid to glycine, ammonia, carbon dioxide, and carbon monoxide. First, guanine gets deaminated to become xanthine. Guanine oxidizes more readily than adenine, the other purine-derivative base in DNA. Its high melting point of 350 °C reflects the intermolecular hydrogen bonding between the oxo and amino groups in the molecules in the crystal. Because of this intermolecular bonding, guanine is relatively insoluble in water, but it is soluble in dilute acids and bases. Among the DNA/RNA bases, guanine has the lowest oxidation potential playing a key role in the oxidatively induced damage to nucleic acids. See main article guanine radical cations and DNA oxidation. History The first isolation of guanine was reported in 1844 by the German chemist Julius Bodo Unger [de] (1819–1885), who obtained it as a mineral formed from the excreta of sea birds, which is known as guano and which was used as a source of fertilizer; guanine was named in 1846. Between 1882 and 1906, Emil Fischer determined the structure and also showed that uric acid can be converted to guanine. Synthesis A Fischer–Tropsch synthesis can be used to form guanine, along with adenine, uracil, and thymine. Heating an equimolar gas mixture of CO, H2, and NH3 to 700 °C for 15 to 24 minutes, followed by quick cooling and then sustained reheating to 100 to 200 °C for 16 to 44 hours with an alumina catalyst, yielded guanine and uracil: Trace amounts of guanine form by the polymerization of ammonium cyanide (NH4CN). Two experiments conducted by Levy et al. showed that heating 10 mol·L−1 NH4CN at 80 °C for 24 hours gave a yield of 0.0007%, while using 0.1 mol·L−1 NH4CN frozen at −20 °C for 25 years gave a 0.0035% yield. These results indicate guanine could arise in frozen regions of the primitive earth. In 1984, Yuasa reported a 0.00017% yield of guanine after the electrical discharge of NH3, CH4, C2H6, and 50 mL of water, followed by a subsequent acid hydrolysis. However, it is unknown whether the presence of guanine was not simply a resultant contaminant of the reaction. Another possible abiotic route was explored by quenching a 90% N2–10%CO–H2O gas mixture high-temperature plasma. Traube's synthesis involves heating 4-hydroxy-2,4,5-triaminopyrimidine with formic acid for several hours. Biosynthesis Guanine is not primarily synthesized de novo.[clarification needed] Instead, it is split from the more complex molecule guanosine by the enzyme guanosine phosphorylase: Guanine can be synthesized de novo, with the rate-limiting enzyme of inosine monophosphate dehydrogenase. Other occurrences and biological uses The word guanine derives from the Spanish loanword guano ('bird/bat droppings'), which itself is from the Quechua word wanu, meaning 'dung'. As the Oxford English Dictionary notes, guanine is "A white amorphous substance obtained abundantly from guano, forming a constituent of the excrement of birds". In 1656 in Paris, a Mr. Jaquin extracted from the scales of the fish Alburnus alburnus so-called "pearl essence", which is crystalline guanine. In the cosmetics industry, crystalline guanine is used as an additive to various products (e.g., shampoos), where it provides a pearly iridescent effect. It is also used in metallic paints and simulated pearls and plastics. It provides shimmering luster to eye shadow and nail polish. Facial treatments using the droppings, or guano, from Japanese nightingales have been used in Japan and elsewhere, because the guanine in the droppings makes the skin look paler. Guanine crystals are rhombic platelets composed of multiple transparent layers, but they have a high index of refraction that partially reflects and transmits light from layer to layer, thus producing a pearly luster. It can be applied by spray, painting, or dipping. It may irritate the eyes. Its alternatives are mica, faux pearl (from ground shells), and aluminium and bronze particles. Guanine has a very wide variety of biological uses that include a range of functions ranging in both complexity and versatility. These include camouflage, display, and vision among other purposes. Spiders, scorpions, and some amphibians convert ammonia, as a product of protein metabolism in the cells, to guanine, as it can be excreted with minimal water loss. Guanine is also found in specialized skin cells of fish called iridocytes (e.g., the sturgeon), as well as being present in the reflective deposits of the eyes of deep-sea fish and some reptiles, such as crocodiles and chameleons. On 8 August 2011, a report, based on NASA studies with meteorites found on Earth, was published suggesting building blocks of DNA and RNA (guanine, adenine and related organic molecules) may have been formed extra-terrestrially in outer space. See also References External links |
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[SOURCE: https://en.wikipedia.org/wiki/OpenAI#cite_ref-bbc-giants_23-1] | [TOKENS: 8773] |
Contents OpenAI OpenAI is an American artificial intelligence research organization comprising both a non-profit foundation and a controlled for-profit public benefit corporation (PBC), headquartered in San Francisco. It aims to develop "safe and beneficial" artificial general intelligence (AGI), which it defines as "highly autonomous systems that outperform humans at most economically valuable work". OpenAI is widely recognized for its development of the GPT family of large language models, the DALL-E series of text-to-image models, and the Sora series of text-to-video models, which have influenced industry research and commercial applications. Its release of ChatGPT in November 2022 has been credited with catalyzing widespread interest in generative AI. The organization was founded in 2015 in Delaware but evolved a complex corporate structure. As of October 2025, following restructuring approved by California and Delaware regulators, the non-profit OpenAI Foundation holds 26% of the for-profit OpenAI Group PBC, with Microsoft holding 27% and employees/other investors holding 47%. Under its governance arrangements, the OpenAI Foundation holds the authority to appoint the board of the for-profit OpenAI Group PBC, a mechanism designed to align the entity’s strategic direction with the Foundation’s charter. Microsoft previously invested over $13 billion into OpenAI, and provides Azure cloud computing resources. In October 2025, OpenAI conducted a $6.6 billion share sale that valued the company at $500 billion. In 2023 and 2024, OpenAI faced multiple lawsuits for alleged copyright infringement against authors and media companies whose work was used to train some of OpenAI's products. In November 2023, OpenAI's board removed Sam Altman as CEO, citing a lack of confidence in him, but reinstated him five days later following a reconstruction of the board. Throughout 2024, roughly half of then-employed AI safety researchers left OpenAI, citing the company's prominent role in an industry-wide problem. Founding In December 2015, OpenAI was founded as a not for profit organization by Sam Altman, Elon Musk, Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, John Schulman, Pamela Vagata, and Wojciech Zaremba, with Sam Altman and Elon Musk as the co-chairs. A total of $1 billion in capital was pledged by Sam Altman, Greg Brockman, Elon Musk, Reid Hoffman, Jessica Livingston, Peter Thiel, Amazon Web Services (AWS), and Infosys. However, the actual capital collected significantly lagged pledges. According to company disclosures, only $130 million had been received by 2019. In its founding charter, OpenAI stated an intention to collaborate openly with other institutions by making certain patents and research publicly available, but later restricted access to its most capable models, citing competitive and safety concerns. OpenAI was initially run from Brockman's living room. It was later headquartered at the Pioneer Building in the Mission District, San Francisco. According to OpenAI's charter, its founding mission is "to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity." Musk and Altman stated in 2015 that they were partly motivated by concerns about AI safety and existential risk from artificial general intelligence. OpenAI stated that "it's hard to fathom how much human-level AI could benefit society", and that it is equally difficult to comprehend "how much it could damage society if built or used incorrectly". The startup also wrote that AI "should be an extension of individual human wills and, in the spirit of liberty, as broadly and evenly distributed as possible", and that "because of AI's surprising history, it's hard to predict when human-level AI might come within reach. When it does, it'll be important to have a leading research institution which can prioritize a good outcome for all over its own self-interest." Co-chair Sam Altman expected a decades-long project that eventually surpasses human intelligence. Brockman met with Yoshua Bengio, one of the "founding fathers" of deep learning, and drew up a list of great AI researchers. Brockman was able to hire nine of them as the first employees in December 2015. OpenAI did not pay AI researchers salaries comparable to those of Facebook or Google. It also did not pay stock options which AI researchers typically get. Nevertheless, OpenAI spent $7 million on its first 52 employees in 2016. OpenAI's potential and mission drew these researchers to the firm; a Google employee said he was willing to leave Google for OpenAI "partly because of the very strong group of people and, to a very large extent, because of its mission." OpenAI co-founder Wojciech Zaremba stated that he turned down "borderline crazy" offers of two to three times his market value to join OpenAI instead. In April 2016, OpenAI released a public beta of "OpenAI Gym", its platform for reinforcement learning research. Nvidia gifted its first DGX-1 supercomputer to OpenAI in August 2016 to help it train larger and more complex AI models with the capability of reducing processing time from six days to two hours. In December 2016, OpenAI released "Universe", a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites, and other applications. Corporate structure In 2019, OpenAI transitioned from non-profit to "capped" for-profit, with the profit being capped at 100 times any investment. According to OpenAI, the capped-profit model allows OpenAI Global, LLC to legally attract investment from venture funds and, in addition, to grant employees stakes in the company. Many top researchers work for Google Brain, DeepMind, or Facebook, which offer equity that a nonprofit would be unable to match. Before the transition, OpenAI was legally required to publicly disclose the compensation of its top employees. The company then distributed equity to its employees and partnered with Microsoft, announcing an investment package of $1 billion into the company. Since then, OpenAI systems have run on an Azure-based supercomputing platform from Microsoft. OpenAI Global, LLC then announced its intention to commercially license its technologies. It planned to spend $1 billion "within five years, and possibly much faster". Altman stated that even a billion dollars may turn out to be insufficient, and that the lab may ultimately need "more capital than any non-profit has ever raised" to achieve artificial general intelligence. The nonprofit, OpenAI, Inc., is the sole controlling shareholder of OpenAI Global, LLC, which, despite being a for-profit company, retains a formal fiduciary responsibility to OpenAI, Inc.'s nonprofit charter. A majority of OpenAI, Inc.'s board is barred from having financial stakes in OpenAI Global, LLC. In addition, minority members with a stake in OpenAI Global, LLC are barred from certain votes due to conflict of interest. Some researchers have argued that OpenAI Global, LLC's switch to for-profit status is inconsistent with OpenAI's claims to be "democratizing" AI. On February 29, 2024, Elon Musk filed a lawsuit against OpenAI and CEO Sam Altman, accusing them of shifting focus from public benefit to profit maximization—a case OpenAI dismissed as "incoherent" and "frivolous," though Musk later revived legal action against Altman and others in August. On April 9, 2024, OpenAI countersued Musk in federal court, alleging that he had engaged in "bad-faith tactics" to slow the company's progress and seize its innovations for his personal benefit. OpenAI also argued that Musk had previously supported the creation of a for-profit structure and had expressed interest in controlling OpenAI himself. The countersuit seeks damages and legal measures to prevent further alleged interference. On February 10, 2025, a consortium of investors led by Elon Musk submitted a $97.4 billion unsolicited bid to buy the nonprofit that controls OpenAI, declaring willingness to match or exceed any better offer. The offer was rejected on 14 February 2025, with OpenAI stating that it was not for sale, but the offer complicated Altman's restructuring plan by suggesting a lower bar for how much the nonprofit should be valued. OpenAI, Inc. was originally designed as a nonprofit in order to ensure that AGI "benefits all of humanity" rather than "the private gain of any person". In 2019, it created OpenAI Global, LLC, a capped-profit subsidiary controlled by the nonprofit. In December 2024, OpenAI proposed a restructuring plan to convert the capped-profit into a Delaware-based public benefit corporation (PBC), and to release it from the control of the nonprofit. The nonprofit would sell its control and other assets, getting equity in return, and would use it to fund and pursue separate charitable projects, including in science and education. OpenAI's leadership described the change as necessary to secure additional investments, and claimed that the nonprofit's founding mission to ensure AGI "benefits all of humanity" would be better fulfilled. The plan has been criticized by former employees. A legal letter named "Not For Private Gain" asked the attorneys general of California and Delaware to intervene, stating that the restructuring is illegal and would remove governance safeguards from the nonprofit and the attorneys general. The letter argues that OpenAI's complex structure was deliberately designed to remain accountable to its mission, without the conflicting pressure of maximizing profits. It contends that the nonprofit is best positioned to advance its mission of ensuring AGI benefits all of humanity by continuing to control OpenAI Global, LLC, whatever the amount of equity that it could get in exchange. PBCs can choose how they balance their mission with profit-making. Controlling shareholders have a large influence on how closely a PBC sticks to its mission. On October 28, 2025, OpenAI announced that it had adopted the new PBC corporate structure after receiving approval from the attorneys general of California and Delaware. Under the new structure, OpenAI's for-profit branch became a public benefit corporation known as OpenAI Group PBC, while the non-profit was renamed to the OpenAI Foundation. The OpenAI Foundation holds a 26% stake in the PBC, while Microsoft holds a 27% stake and the remaining 47% is owned by employees and other investors. All members of the OpenAI Group PBC board of directors will be appointed by the OpenAI Foundation, which can remove them at any time. Members of the Foundation's board will also serve on the for-profit board. The new structure allows the for-profit PBC to raise investor funds like most traditional tech companies, including through an initial public offering, which Altman claimed was the most likely path forward. In January 2023, OpenAI Global, LLC was in talks for funding that would value the company at $29 billion, double its 2021 value. On January 23, 2023, Microsoft announced a new US$10 billion investment in OpenAI Global, LLC over multiple years, partially needed to use Microsoft's cloud-computing service Azure. From September to December, 2023, Microsoft rebranded all variants of its Copilot to Microsoft Copilot, and they added MS-Copilot to many installations of Windows and released Microsoft Copilot mobile apps. Following OpenAI's 2025 restructuring, Microsoft owns a 27% stake in the for-profit OpenAI Group PBC, valued at $135 billion. In a deal announced the same day, OpenAI agreed to purchase $250 billion of Azure services, with Microsoft ceding their right of first refusal over OpenAI's future cloud computing purchases. As part of the deal, OpenAI will continue to share 20% of its revenue with Microsoft until it achieves AGI, which must now be verified by an independent panel of experts. The deal also loosened restrictions on both companies working with third parties, allowing Microsoft to pursue AGI independently and allowing OpenAI to develop products with other companies. In 2017, OpenAI spent $7.9 million, a quarter of its functional expenses, on cloud computing alone. In comparison, DeepMind's total expenses in 2017 were $442 million. In the summer of 2018, training OpenAI's Dota 2 bots required renting 128,000 CPUs and 256 GPUs from Google for multiple weeks. In October 2024, OpenAI completed a $6.6 billion capital raise with a $157 billion valuation including investments from Microsoft, Nvidia, and SoftBank. On January 21, 2025, Donald Trump announced The Stargate Project, a joint venture between OpenAI, Oracle, SoftBank and MGX to build an AI infrastructure system in conjunction with the US government. The project takes its name from OpenAI's existing "Stargate" supercomputer project and is estimated to cost $500 billion. The partners planned to fund the project over the next four years. In July, the United States Department of Defense announced that OpenAI had received a $200 million contract for AI in the military, along with Anthropic, Google, and xAI. In the same month, the company made a deal with the UK Government to use ChatGPT and other AI tools in public services. OpenAI subsequently began a $50 million fund to support nonprofit and community organizations. In April 2025, OpenAI raised $40 billion at a $300 billion post-money valuation, which was the highest-value private technology deal in history. The financing round was led by SoftBank, with other participants including Microsoft, Coatue, Altimeter and Thrive. In July 2025, the company reported annualized revenue of $12 billion. This was an increase from $3.7 billion in 2024, which was driven by ChatGPT subscriptions, which reached 20 million paid subscribers by April 2025, up from 15.5 million at the end of 2024, alongside a rapidly expanding enterprise customer base that grew to five million business users. The company’s cash burn remains high because of the intensive computational costs required to train and operate large language models. It projects an $8 billion operating loss in 2025. OpenAI reports revised long-term spending projections totaling approximately $115 billion through 2029, with annual expenditures projected to escalate significantly, reaching $17 billion in 2026, $35 billion in 2027, and $45 billion in 2028. These expenditures are primarily allocated toward expanding compute infrastructure, developing proprietary AI chips, constructing data centers, and funding intensive model training programs, with more than half of the spending through the end of the decade expected to support research-intensive compute for model training and development. The company's financial strategy prioritizes market expansion and technological advancement over near-term profitability, with OpenAI targeting cash-flow-positive operations by 2029 and projecting revenue of approximately $200 billion by 2030. This aggressive spending trajectory underscores both the enormous capital requirements of scaling cutting-edge AI technology and OpenAI's commitment to maintaining its position as a leader in the artificial intelligence industry. In October 2025, OpenAI completed an employee share sale of up to $10 billion to existing investors which valued the company at $500 billion. The deal values OpenAI as the most valuable privately owned company in the world—surpassing SpaceX as the world's most valuable private company. On November 17, 2023, Sam Altman was removed as CEO when its board of directors (composed of Helen Toner, Ilya Sutskever, Adam D'Angelo and Tasha McCauley) cited a lack of confidence in him. Chief Technology Officer Mira Murati took over as interim CEO. Greg Brockman, the president of OpenAI, was also removed as chairman of the board and resigned from the company's presidency shortly thereafter. Three senior OpenAI researchers subsequently resigned: director of research and GPT-4 lead Jakub Pachocki, head of AI risk Aleksander Mądry, and researcher Szymon Sidor. On November 18, 2023, there were reportedly talks of Altman returning as CEO amid pressure placed upon the board by investors such as Microsoft and Thrive Capital, who objected to Altman's departure. Although Altman himself spoke in favor of returning to OpenAI, he has since stated that he considered starting a new company and bringing former OpenAI employees with him if talks to reinstate him didn't work out. The board members agreed "in principle" to resign if Altman returned. On November 19, 2023, negotiations with Altman to return failed and Murati was replaced by Emmett Shear as interim CEO. The board initially contacted Anthropic CEO Dario Amodei (a former OpenAI executive) about replacing Altman, and proposed a merger of the two companies, but both offers were declined. On November 20, 2023, Microsoft CEO Satya Nadella announced Altman and Brockman would be joining Microsoft to lead a new advanced AI research team, but added that they were still committed to OpenAI despite recent events. Before the partnership with Microsoft was finalized, Altman gave the board another opportunity to negotiate with him. About 738 of OpenAI's 770 employees, including Murati and Sutskever, signed an open letter stating they would quit their jobs and join Microsoft if the board did not rehire Altman and then resign. This prompted OpenAI investors to consider legal action against the board as well. In response, OpenAI management sent an internal memo to employees stating that negotiations with Altman and the board had resumed and would take some time. On November 21, 2023, after continued negotiations, Altman and Brockman returned to the company in their prior roles along with a reconstructed board made up of new members Bret Taylor (as chairman) and Lawrence Summers, with D'Angelo remaining. According to subsequent reporting, shortly before Altman’s firing, some employees raised concerns to the board about how he had handled the safety implications of a recent internal AI capability discovery. On November 29, 2023, OpenAI announced that an anonymous Microsoft employee had joined the board as a non-voting member to observe the company's operations; Microsoft resigned from the board in July 2024. In February 2024, the Securities and Exchange Commission subpoenaed OpenAI's internal communication to determine if Altman's alleged lack of candor misled investors. In 2024, following the temporary removal of Sam Altman and his return, many employees gradually left OpenAI, including most of the original leadership team and a significant number of AI safety researchers. In August 2023, it was announced that OpenAI had acquired the New York-based start-up Global Illumination, a company that deploys AI to develop digital infrastructure and creative tools. In June 2024, OpenAI acquired Multi, a startup focused on remote collaboration. In March 2025, OpenAI reached a deal with CoreWeave to acquire $350 million worth of CoreWeave shares and access to AI infrastructure, in return for $11.9 billion paid over five years. Microsoft was already CoreWeave's biggest customer in 2024. Alongside their other business dealings, OpenAI and Microsoft were renegotiating the terms of their partnership to facilitate a potential future initial public offering by OpenAI, while ensuring Microsoft's continued access to advanced AI models. On May 21, OpenAI announced the $6.5 billion acquisition of io, an AI hardware start-up founded by former Apple designer Jony Ive in 2024. In September 2025, OpenAI agreed to acquire the product testing startup Statsig for $1.1 billion in an all-stock deal and appointed Statsig's founding CEO Vijaye Raji as OpenAI's chief technology officer of applications. The company also announced development of an AI-driven hiring service designed to rival LinkedIn. OpenAI acquired personal finance app Roi in October 2025. In October 2025, OpenAI acquired Software Applications Incorporated, the developer of Sky, a macOS-based natural language interface designed to operate across desktop applications. The Sky team joined OpenAI, and the company announced plans to integrate Sky’s capabilities into ChatGPT. In December 2025, it was announced OpenAI had agreed to acquire Neptune, an AI tooling startup that helps companies track and manage model training, for an undisclosed amount. In January 2026, it was announced OpenAI had acquired healthcare technology startup Torch for approximately $60 million. The acquisition followed the launch of OpenAI’s ChatGPT Health product and was intended to strengthen the company’s medical data and healthcare artificial intelligence capabilities. OpenAI has been criticized for outsourcing the annotation of data sets to Sama, a company based in San Francisco that employed workers in Kenya. These annotations were used to train an AI model to detect toxicity, which could then be used to moderate toxic content, notably from ChatGPT's training data and outputs. However, these pieces of text usually contained detailed descriptions of various types of violence, including sexual violence. The investigation uncovered that OpenAI began sending snippets of data to Sama as early as November 2021. The four Sama employees interviewed by Time described themselves as mentally scarred. OpenAI paid Sama $12.50 per hour of work, and Sama was redistributing the equivalent of between $1.32 and $2.00 per hour post-tax to its annotators. Sama's spokesperson said that the $12.50 was also covering other implicit costs, among which were infrastructure expenses, quality assurance and management. In 2024, OpenAI began collaborating with Broadcom to design a custom AI chip capable of both training and inference, targeted for mass production in 2026 and to be manufactured by TSMC on a 3 nm process node. This initiative intended to reduce OpenAI's dependence on Nvidia GPUs, which are costly and face high demand in the market. In January 2024, Arizona State University purchased ChatGPT Enterprise in OpenAI's first deal with a university. In June 2024, Apple Inc. signed a contract with OpenAI to integrate ChatGPT features into its products as part of its new Apple Intelligence initiative. In June 2025, OpenAI began renting Google Cloud's Tensor Processing Units (TPUs) to support ChatGPT and related services, marking its first meaningful use of non‑Nvidia AI chips. In September 2025, it was revealed that OpenAI signed a contract with Oracle to purchase $300 billion in computing power over the next five years. In September 2025, OpenAI and NVIDIA announced a memorandum of understanding that included a potential deployment of at least 10 gigawatts of NVIDIA systems and a $100 billion investment from NVIDIA in OpenAI. OpenAI expected the negotiations to be completed within weeks. As of January 2026, this has not been realized, and the two sides are rethinking the future of their partnership. In October 2025, OpenAI announced a multi-billion dollar deal with AMD. OpenAI committed to purchasing six gigawatts worth of AMD chips, starting with the MI450. OpenAI will have the option to buy up to 160 million shares of AMD, about 10% of the company, depending on development, performance and share price targets. In December 2025, Disney said it would make a $1 billion investment in OpenAI, and signed a three-year licensing deal that will let users generate videos using Sora—OpenAI's short-form AI video platform. More than 200 Disney, Marvel, Star Wars and Pixar characters will be available to OpenAI users. In early 2026, Amazon entered advanced discussions to invest up to $50 billion in OpenAI as part of a potential artificial intelligence partnership. Under the proposed agreement, OpenAI’s models could be integrated into Amazon’s digital assistant Alexa and other internal projects. OpenAI provides LLMs to the Artificial Intelligence Cyber Challenge and to the Advanced Research Projects Agency for Health. In October 2024, The Intercept revealed that OpenAI's tools are considered "essential" for AFRICOM's mission and included in an "Exception to Fair Opportunity" contractual agreement between the United States Department of Defense and Microsoft. In December 2024, OpenAI said it would partner with defense-tech company Anduril to build drone defense technologies for the United States and its allies. In 2025, OpenAI's Chief Product Officer, Kevin Weil, was commissioned lieutenant colonel in the U.S. Army to join Detachment 201 as senior advisor. In June 2025, the U.S. Department of Defense awarded OpenAI a $200 million one-year contract to develop AI tools for military and national security applications. OpenAI announced a new program, OpenAI for Government, to give federal, state, and local governments access to its models, including ChatGPT. Services In February 2019, GPT-2 was announced, which gained attention for its ability to generate human-like text. In 2020, OpenAI announced GPT-3, a language model trained on large internet datasets. GPT-3 is aimed at natural language answering questions, but it can also translate between languages and coherently generate improvised text. It also announced that an associated API, named the API, would form the heart of its first commercial product. Eleven employees left OpenAI, mostly between December 2020 and January 2021, in order to establish Anthropic. In 2021, OpenAI introduced DALL-E, a specialized deep learning model adept at generating complex digital images from textual descriptions, utilizing a variant of the GPT-3 architecture. In December 2022, OpenAI received widespread media coverage after launching a free preview of ChatGPT, its new AI chatbot based on GPT-3.5. According to OpenAI, the preview received over a million signups within the first five days. According to anonymous sources cited by Reuters in December 2022, OpenAI Global, LLC was projecting $200 million of revenue in 2023 and $1 billion in revenue in 2024. After ChatGPT was launched, Google announced a similar chatbot, Bard, amid internal concerns that ChatGPT could threaten Google’s position as a primary source of online information. On February 7, 2023, Microsoft announced that it was building AI technology based on the same foundation as ChatGPT into Microsoft Bing, Edge, Microsoft 365 and other products. On March 14, 2023, OpenAI released GPT-4, both as an API (with a waitlist) and as a feature of ChatGPT Plus. On November 6, 2023, OpenAI launched GPTs, allowing individuals to create customized versions of ChatGPT for specific purposes, further expanding the possibilities of AI applications across various industries. On November 14, 2023, OpenAI announced they temporarily suspended new sign-ups for ChatGPT Plus due to high demand. Access for newer subscribers re-opened a month later on December 13. In December 2024, the company launched the Sora model. It also launched OpenAI o1, an early reasoning model that was internally codenamed strawberry. Additionally, ChatGPT Pro—a $200/month subscription service offering unlimited o1 access and enhanced voice features—was introduced, and preliminary benchmark results for the upcoming OpenAI o3 models were shared. On January 23, 2025, OpenAI released Operator, an AI agent and web automation tool for accessing websites to execute goals defined by users. The feature was only available to Pro users in the United States. OpenAI released deep research agent, nine days later. It scored a 27% accuracy on the benchmark Humanity's Last Exam (HLE). Altman later stated GPT-4.5 would be the last model without full chain-of-thought reasoning. In July 2025, reports indicated that AI models by both OpenAI and Google DeepMind solved mathematics problems at the level of top-performing students in the International Mathematical Olympiad. OpenAI's large language model was able to achieve gold medal-level performance, reflecting significant progress in AI's reasoning abilities. On October 6, 2025, OpenAI unveiled its Agent Builder platform during the company's DevDay event. The platform includes a visual drag-and-drop interface that lets developers and businesses design, test, and deploy agentic workflows with limited coding. On October 21, 2025, OpenAI introduced ChatGPT Atlas, a browser integrating the ChatGPT assistant directly into web navigation, to compete with existing browsers such as Google Chrome and Apple Safari. On December 11, 2025, OpenAI announced GPT-5.2. This model will be better at creating spreadsheets, building presentations, perceiving images, writing code and understanding long context. On January 27, 2026, OpenAI introduced Prism, a LaTeX-native workspace meant to assist scientists to help with research and writing. The platform utilizes GPT-5.2 as a backend to automate the process of drafting for scientific papers, including features for managing citations, complex equation formatting, and real-time collaborative editing. In March 2023, the company was criticized for disclosing particularly few technical details about products like GPT-4, contradicting its initial commitment to openness and making it harder for independent researchers to replicate its work and develop safeguards. OpenAI cited competitiveness and safety concerns to justify this repudiation. OpenAI's former chief scientist Ilya Sutskever argued in 2023 that open-sourcing increasingly capable models was increasingly risky, and that the safety reasons for not open-sourcing the most potent AI models would become "obvious" in a few years. In September 2025, OpenAI published a study on how people use ChatGPT for everyday tasks. The study found that "non-work tasks" (according to an LLM-based classifier) account for more than 72 percent of all ChatGPT usage, with a minority of overall usage related to business productivity. In July 2023, OpenAI launched the superalignment project, aiming within four years to determine how to align future superintelligent systems. OpenAI promised to dedicate 20% of its computing resources to the project, although the team denied receiving anything close to 20%. OpenAI ended the project in May 2024 after its co-leaders Ilya Sutskever and Jan Leike left the company. In August 2025, OpenAI was criticized after thousands of private ChatGPT conversations were inadvertently exposed to public search engines like Google due to an experimental "share with search engines" feature. The opt-in toggle, intended to allow users to make specific chats discoverable, resulted in some discussions including personal details such as names, locations, and intimate topics appearing in search results when users accidentally enabled it while sharing links. OpenAI announced the feature's permanent removal on August 1, 2025, and the company began coordinating with search providers to remove the exposed content, emphasizing that it was not a security breach but a design flaw that heightened privacy risks. CEO Sam Altman acknowledged the issue in a podcast, noting users often treat ChatGPT as a confidant for deeply personal matters, which amplified concerns about AI handling sensitive data. Management In 2018, Musk resigned from his Board of Directors seat, citing "a potential future conflict [of interest]" with his role as CEO of Tesla due to Tesla's AI development for self-driving cars. OpenAI stated that Musk's financial contributions were below $45 million. On March 3, 2023, Reid Hoffman resigned from his board seat, citing a desire to avoid conflicts of interest with his investments in AI companies via Greylock Partners, and his co-founding of the AI startup Inflection AI. Hoffman remained on the board of Microsoft, a major investor in OpenAI. In May 2024, Chief Scientist Ilya Sutskever resigned and was succeeded by Jakub Pachocki. Co-leader Jan Leike also departed amid concerns over safety and trust. OpenAI then signed deals with Reddit, News Corp, Axios, and Vox Media. Paul Nakasone then joined the board of OpenAI. In August 2024, cofounder John Schulman left OpenAI to join Anthropic, and OpenAI's president Greg Brockman took extended leave until November. In September 2024, CTO Mira Murati left the company. In November 2025, Lawrence Summers resigned from the board of directors. Governance and legal issues In May 2023, Sam Altman, Greg Brockman and Ilya Sutskever posted recommendations for the governance of superintelligence. They stated that superintelligence could happen within the next 10 years, allowing a "dramatically more prosperous future" and that "given the possibility of existential risk, we can't just be reactive". They proposed creating an international watchdog organization similar to IAEA to oversee AI systems above a certain capability threshold, suggesting that relatively weak AI systems on the other side should not be overly regulated. They also called for more technical safety research for superintelligences, and asked for more coordination, for example through governments launching a joint project which "many current efforts become part of". In July 2023, the FTC issued a civil investigative demand to OpenAI to investigate whether the company's data security and privacy practices to develop ChatGPT were unfair or harmed consumers (including by reputational harm) in violation of Section 5 of the Federal Trade Commission Act of 1914. These are typically preliminary investigative matters and are nonpublic, but the FTC's document was leaked. In July 2023, the FTC launched an investigation into OpenAI over allegations that the company scraped public data and published false and defamatory information. They asked OpenAI for comprehensive information about its technology and privacy safeguards, as well as any steps taken to prevent the recurrence of situations in which its chatbot generated false and derogatory content about people. The agency also raised concerns about ‘circular’ spending arrangements—for example, Microsoft extending Azure credits to OpenAI while both companies shared engineering talent—and warned that such structures could negatively affect the public. In September 2024, OpenAI's global affairs chief endorsed the UK's "smart" AI regulation during testimony to a House of Lords committee. In February 2025, OpenAI CEO Sam Altman stated that the company is interested in collaborating with the People's Republic of China, despite regulatory restrictions imposed by the U.S. government. This shift comes in response to the growing influence of the Chinese artificial intelligence company DeepSeek, which has disrupted the AI market with open models, including DeepSeek V3 and DeepSeek R1. Following DeepSeek's market emergence, OpenAI enhanced security protocols to protect proprietary development techniques from industrial espionage. Some industry observers noted similarities between DeepSeek's model distillation approach and OpenAI's methodology, though no formal intellectual property claim was filed. According to Oliver Roberts, in March 2025, the United States had 781 state AI bills or laws. OpenAI advocated for preempting state AI laws with federal laws. According to Scott Kohler, OpenAI has opposed California's AI legislation and suggested that the state bill encroaches on a more competent federal government. Public Citizen opposed a federal preemption on AI and pointed to OpenAI's growth and valuation as evidence that existing state laws have not hampered innovation. Before May 2024, OpenAI required departing employees to sign a lifelong non-disparagement agreement forbidding them from criticizing OpenAI and acknowledging the existence of the agreement. Daniel Kokotajlo, a former employee, publicly stated that he forfeited his vested equity in OpenAI in order to leave without signing the agreement. Sam Altman stated that he was unaware of the equity cancellation provision, and that OpenAI never enforced it to cancel any employee's vested equity. However, leaked documents and emails refute this claim. On May 23, 2024, OpenAI sent a memo releasing former employees from the agreement. OpenAI was sued for copyright infringement by authors Sarah Silverman, Matthew Butterick, Paul Tremblay and Mona Awad in July 2023. In September 2023, 17 authors, including George R. R. Martin, John Grisham, Jodi Picoult and Jonathan Franzen, joined the Authors Guild in filing a class action lawsuit against OpenAI, alleging that the company's technology was illegally using their copyrighted work. The New York Times also sued the company in late December 2023. In May 2024 it was revealed that OpenAI had destroyed its Books1 and Books2 training datasets, which were used in the training of GPT-3, and which the Authors Guild believed to have contained over 100,000 copyrighted books. In 2021, OpenAI developed a speech recognition tool called Whisper. OpenAI used it to transcribe more than one million hours of YouTube videos into text for training GPT-4. The automated transcription of YouTube videos raised concerns within OpenAI employees regarding potential violations of YouTube's terms of service, which prohibit the use of videos for applications independent of the platform, as well as any type of automated access to its videos. Despite these concerns, the project proceeded with notable involvement from OpenAI's president, Greg Brockman. The resulting dataset proved instrumental in training GPT-4. In February 2024, The Intercept as well as Raw Story and Alternate Media Inc. filed lawsuit against OpenAI on copyright litigation ground. The lawsuit is said to have charted a new legal strategy for digital-only publishers to sue OpenAI. On April 30, 2024, eight newspapers filed a lawsuit in the Southern District of New York against OpenAI and Microsoft, claiming illegal harvesting of their copyrighted articles. The suing publications included The Mercury News, The Denver Post, The Orange County Register, St. Paul Pioneer Press, Chicago Tribune, Orlando Sentinel, Sun Sentinel, and New York Daily News. In June 2023, a lawsuit claimed that OpenAI scraped 300 billion words online without consent and without registering as a data broker. It was filed in San Francisco, California, by sixteen anonymous plaintiffs. They also claimed that OpenAI and its partner as well as customer Microsoft continued to unlawfully collect and use personal data from millions of consumers worldwide to train artificial intelligence models. On May 22, 2024, OpenAI entered into an agreement with News Corp to integrate news content from The Wall Street Journal, the New York Post, The Times, and The Sunday Times into its AI platform. Meanwhile, other publications like The New York Times chose to sue OpenAI and Microsoft for copyright infringement over the use of their content to train AI models. In November 2024, a coalition of Canadian news outlets, including the Toronto Star, Metroland Media, Postmedia, The Globe and Mail, The Canadian Press and CBC, sued OpenAI for using their news articles to train its software without permission. In October 2024 during a New York Times interview, Suchir Balaji accused OpenAI of violating copyright law in developing its commercial LLMs which he had helped engineer. He was a likely witness in a major copyright trial against the AI company, and was one of several of its current or former employees named in court filings as potentially having documents relevant to the case. On November 26, 2024, Balaji died by suicide. His death prompted the circulation of conspiracy theories alleging that he had been deliberately silenced. California Congressman Ro Khanna endorsed calls for an investigation. On April 24, 2025, Ziff Davis sued OpenAI in Delaware federal court for copyright infringement. Ziff Davis is known for publications such as ZDNet, PCMag, CNET, IGN and Lifehacker. In April 2023, the EU's European Data Protection Board (EDPB) formed a dedicated task force on ChatGPT "to foster cooperation and to exchange information on possible enforcement actions conducted by data protection authorities" based on the "enforcement action undertaken by the Italian data protection authority against OpenAI about the ChatGPT service". In late April 2024 NOYB filed a complaint with the Austrian Datenschutzbehörde against OpenAI for violating the European General Data Protection Regulation. A text created with ChatGPT gave a false date of birth for a living person without giving the individual the option to see the personal data used in the process. A request to correct the mistake was denied. Additionally, neither the recipients of ChatGPT's work nor the sources used, could be made available, OpenAI claimed. OpenAI was criticized for lifting its ban on using ChatGPT for "military and warfare". Up until January 10, 2024, its "usage policies" included a ban on "activity that has high risk of physical harm, including", specifically, "weapons development" and "military and warfare". Its new policies prohibit "[using] our service to harm yourself or others" and to "develop or use weapons". In August 2025, the parents of a 16-year-old boy who died by suicide filed a wrongful death lawsuit against OpenAI (and CEO Sam Altman), alleging that months of conversations with ChatGPT about mental health and methods of self-harm contributed to their son's death and that safeguards were inadequate for minors. OpenAI expressed condolences and said it was strengthening protections (including updated crisis response behavior and parental controls). Coverage described it as a first-of-its-kind wrongful death case targeting the company's chatbot. The complaint was filed in California state court in San Francisco. In November 2025, the Social Media Victims Law Center and Tech Justice Law Project filed seven lawsuits against OpenAI, of which four lawsuits alleged wrongful death. The suits were filed on behalf of Zane Shamblin, 23, of Texas; Amaurie Lacey, 17, of Georgia; Joshua Enneking, 26, of Florida; and Joe Ceccanti, 48, of Oregon, who each committed suicide after prolonged ChatGPT usage. In December 2025, Stein-Erik Soelberg, who was 56 years old at the time, allegedly murdered his mother Suzanne Adams. In the months prior the paranoid, delusional man often discussed his ideas with ChatGPT. Adam's estate then sued OpenAI claiming that the company shared responsibility due to the risk of chatbot psychosis despite the fact that chatbot psychosis is not a real medical diagnosis. OpenAI responded saying they will make ChatGPT safer for users disconnected from reality. See also References Further reading External links |
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Contents Libertarianism in the United States In the United States, libertarianism is a political philosophy promoting individual liberty. Libertarianism has been described as laissez-faire on economic issues while supporting civil liberties and personal freedom. The movement is often associated with a foreign policy of non-interventionism. Broadly, there are four principal traditions within libertarianism, namely the libertarianism that developed in the mid-20th century out of the revival tradition of classical liberalism in the United States after liberalism associated with the New Deal; the libertarianism developed in the 1950s by anarcho-capitalist author Murray Rothbard, who based it on the anti-New Deal Old Right and 19th-century libertarianism and American individualist anarchists such as Benjamin Tucker and Lysander Spooner while rejecting the labor theory of value in favor of Austrian School economics and the subjective theory of value; the libertarianism developed in the 1970s by Robert Nozick and founded in American and European classical liberal traditions; and the libertarianism associated with the Libertarian Party, which was founded in 1971, including politicians such as David Nolan and Ron Paul. The right-libertarianism associated with people such as Murray Rothbard and Robert Nozick, whose book Anarchy, State, and Utopia received significant attention in academia according to David Lewis Schaefer. Right-libertarianism is the dominant form of libertarianism in the United States, compared to that of left-libertarianism. The latter is associated with the left-wing of the modern libertarian movement and more recently to the political positions associated with academic philosophers Hillel Steiner, Philippe Van Parijs and Peter Vallentyne that combine self-ownership with an egalitarian approach to natural resources; it is also related to anti-capitalist, free-market anarchist strands such as left-wing market anarchism, referred to as market-oriented left-libertarianism to distinguish itself from other forms of libertarianism. Libertarianism includes anarchist and libertarian socialist tendencies, although they are not as widespread as in other countries. Murray Bookchin, a libertarian within this socialist tradition, argued that anarchists, libertarian socialists and the left should reclaim libertarian as a term, suggesting these other self-declared libertarians to rename themselves propertarians instead. Although all libertarians oppose government intervention, there is a division between those anarchist or socialist libertarians as well as anarcho-capitalists such as Rothbard and David D. Friedman who adhere to the anti-state position, viewing the state as an unnecessary evil; minarchists such as Nozick who advocate a minimal state, often referred to as a night-watchman state; and classical liberals who support a minimized small government and a major reversal of the welfare state. The major libertarian party in the United States is the Libertarian Party. However, libertarians are also represented within the Democratic and Republican parties, while others are independent. Gallup found that voters who identify as libertarians ranged from 17 to 23% of the American electorate. Yellow, a political color associated with liberalism worldwide, has also been used as a political color for modern libertarianism in the United States. The Gadsden flag and Pine Tree flag, symbols first used by American revolutionaries, are frequently used by libertarians and the libertarian-leaning Tea Party movement. Although libertarian continues to be widely used to refer to anti-state socialists internationally, its meaning in the United States has deviated from its political origins to the extent that the common meaning of libertarian in the United States is different from elsewhere. In the United States, right-libertarianism has become the most common referent of libertarianism since the late 20th century. Libertarians have worked to implement their ideas through the Libertarian Party, the Free State Project, agorism, and other forms of activism. Definition Since the 19th century, the term libertarian has referred to advocates for freedom of the will, or anyone who generally advocated for liberty, but its long association with anarchism extends at least as far back as 1858, when it was used for the title of New York anarchist journal Le Libertaire. In the late 19th century (around the 1880s and 1890s), Anarchist Sébastien Faure used the term libertarian to differentiate between anarchists and authoritarian socialists. While the term libertarian has been largely synonymous with anarchism, its meaning has more recently diluted with wider adoption from ideologically disparate groups. As a term, libertarian can include both the New Left and libertarian Marxists (who do not associate with a vanguard party) as well as extreme liberals (primarily concerned with civil liberties). Additionally, some anarchists use the term libertarian socialist to avoid anarchism's negative connotations and emphasize its connections with socialism. The revival of free-market ideologies during the mid-to-late 20th century came with disagreement over what to call the movement. While many of its adherents prefer the term libertarian, many conservative libertarians reject the term's association with the 1960s New Left and its connotations of libertine hedonism. The movement is divided over the use of conservatism as an alternative. Those who seek both economic and social liberty within a capitalist order would be known as liberals, but that term developed associations opposite of the limited government, low-taxation, minimal state advocated by the movement. Name variants of the free-market revival movement include classical liberalism, economic liberalism, free-market liberalism and neoliberalism. As a term, libertarian or economic libertarian has the most colloquial acceptance to describe a member of the movement, with the latter term being based on both the ideology's primacy of economics and its distinction from libertarians of the New Left. According to Ian Adams: "Ideologically, all US parties are liberal and always have been. Essentially they espouse classical liberalism, that is a form of democratised Whig constitutionalism plus the free market. The point of difference comes with the influence of social liberalism" and the proper role of government. Some modern American libertarians are distinguished from the dominant libertarian tradition by their relation to property and capital. While both historical libertarianism and contemporary economic libertarianism share general antipathy towards power by government authority, the latter exempts power wielded through free-market capitalism. Historically, libertarians including Herbert Spencer and Max Stirner have to some degree supported the protection of an individual's freedom from powers of both government and private property owners. In contrast, while condemning governmental encroachment on personal liberties, some modern American libertarians support freedoms based on private property rights. Anarcho-capitalist theorist Murray Rothbard argued that protesters should rent a street for protest from its owners. The abolition of public amenities is a common theme in some modern American libertarian writings. History During the 18th century and Age of Enlightenment, classical liberal ideas flourished in Europe and North America. For philosopher Roderick T. Long, libertarians "share a common – or at least an overlapping—intellectual ancestry. [Libertarians] [...] claim the seventeenth century English Levellers and the eighteenth century French Encyclopedists among their ideological forebears; and [...] usually share an admiration for Thomas Jefferson and Thomas Paine". The United States Declaration of Independence was inspired by Locke in its statement: "[T]o secure these rights, Governments are instituted among Men, deriving their just powers from the consent of the governed. That whenever any Form of Government becomes destructive of these ends, it is the Right of the People to alter or to abolish it". According to American historian Bernard Bailyn, during and after the American Revolution, "the major themes of eighteenth-century libertarianism were brought to realization" in constitutions, bills of rights, and limits on legislative and executive powers, including limits on starting wars. According to Murray Rothbard, the libertarian creed emerged from the classical liberal challenges to an "absolute central State and a king ruling by divine right on top of an older, restrictive web of feudal land monopolies and urban guild controls and restrictions" as well as the mercantilism of a bureaucratic warfaring state allied with privileged merchants. The object of classical liberals was individual liberty in the economy, in personal freedoms and civil liberty, separation of state and religion and peace as an alternative to imperial aggrandizement. He cites Locke's contemporaries, the Levellers, who held similar views. Also influential were the English Cato's Letters during the early 1700s, reprinted eagerly by American colonists who already were free of European aristocracy and feudal land monopolies. Forrest McDonald echoed Rothbard's contentions, arguing that, "without exception, the major British political writers who carried the English libertarian tradition through the eighteenth century were gentrymen who were writing in fierce opposition to the new financial order." This new order had been created by mercantile bankers invested in monetary policy over broader fiscal concerns that included real estate, mostly under the Walpole ministry. In emphasizing the fiscal dimensions of real estate, McDonald averred, "Americans had evolved a set of advanced ideas and institutions regarding the rights of individuals to hold unfettered title to real property; indeed, they had developed the quite radical practice of treating land as an actual commodity, to be bought and sold at will...Thus the Americans absorbed the poison of antifinance capitalism with their mother's milk of liberty." McDonald pointed out, however, that "the Americans" periodically failed to collapse or conflate dual branches of a given dichotomy. For example, "the British writers and their American readers distinguished between liberty and licentiousness, the one resting upon virtue [in government], and the other upon depravity. But the distinction was scarcely one to satisfy any true libertarian." In January 1776, only two years after coming to America from England, Thomas Paine published his pamphlet Common Sense calling for independence for the colonies. Paine promoted classical liberal ideas in clear and concise language that allowed the general public to understand the debates among the political elites. Common Sense was immensely popular in disseminating these ideas, selling hundreds of thousands of copies. Paine would later write the Rights of Man and The Age of Reason and participate in the French Revolution. Paine's theory of property showed a "libertarian concern" with the redistribution of resources. In the 19th century, libertarian philosophies included libertarian socialism and anarchist schools of thought such as individualist and social anarchism. Key libertarian thinkers included Benjamin Tucker, Lysander Spooner, Stephen Pearl Andrews and William Batchelder Greene, among others. While most of these anarchist thinkers advocated for the abolition of the state, other key libertarian thinkers and writers such as Henry David Thoreau, Ralph Waldo Emerson and Spooner in No Treason: The Constitution of No Authority argued that government should be kept to a minimum and that it is only legitimate to the extent that people voluntarily support, leaving a significant imprint on libertarianism in the United States. The use of the term libertarianism to describe a left-wing position has been traced to the French cognate libertaire, a word coined in a letter French libertarian communist Joseph Déjacque wrote to anarchist Pierre-Joseph Proudhon in 1857. While in New York City, Déjacque was able to serialize his book L'Humanisphère, Utopie anarchique (The Humanisphere: Anarchic Utopia) in his periodical Le Libertaire, Journal du Mouvement Social (Libertarian: Journal of Social Movement), published in 27 issues from June 9, 1858, to February 4, 1861. Le Libertaire was the first libertarian communist journal published in the United States as well as the first anarchist journal to use libertarian. Tucker was the first American born to use libertarian. By around the start of the 20th century, the heyday of individualist anarchism had passed. Moving into the 20th century, the Libertarian League was an anarchist and libertarian socialist organization. The first Libertarian League was founded in Los Angeles between the two World Wars. It was established mainly by Cassius V. Cook, Charles T. Sprading, Clarence Lee Swartz, Henry Cohen, Hans F. Rossner and Thomas Bell. In 1954, a second Libertarian League was founded in New York City as a political organization building on the Libertarian Book Club. Members included Sam Dolgoff, Russell Blackwell, Dave Van Ronk, Enrico Arrigoni and Murray Bookchin. This Libertarian League had a narrower political focus than the first, promoting anarchism and syndicalism. Its central principle, stated in its journal Views and Comments, was "equal freedom for all in a free socialist society". Branches of the Libertarian League opened in a number of other American cities, including Detroit and San Francisco. It was dissolved at the end of the 1960s. The 1960s also saw an alliance between the nascent New Left and other radical libertarians who came from the Old Right tradition like Murray Rothbard, Ronald Radosh and Karl Hess in opposition to imperialism and war, especially in relation to the Vietnam War and its opposition. These radicals had long embraced a reading of American history that emphasized the role of elite privilege in shaping legal and political institutions, one that was naturally agreeable to many on the left, increasingly seeking alliances with the left, especially with members of the New Left, in light of the Vietnam War, the military draft and the emergence of the Black Power movement. Rothbard argued that the consensus view of American economic history, according to which a beneficent government has used its power to counter corporate predation, is fundamentally flawed. Rather, he argued that government intervention in the economy has largely benefited established players at the expense of marginalized groups, to the detriment of both liberty and equality. Moreover, the robber baron period, hailed by the right and despised by the left as a heyday of laissez-faire, was not characterized by laissez-faire at all, but it was in fact a time of massive state privilege accorded to capital. In tandem with his emphasis on the intimate connection between state and corporate power, he defended the seizure of corporations dependent on state largesse by workers and others. This tradition would continue through the 20th and 21st centuries, being taken up by the left-libertarian, free-market anti-capitalism of both Samuel Edward Konkin III's agorism and left-wing market anarchism. During the mid-20th century, many with Old Right or classical liberal beliefs began to describe themselves as libertarians. Important American writers such as Rose Wilder Lane, H. L. Mencken, Albert Jay Nock, Isabel Paterson, Leonard Read (the founder of the Foundation for Economic Education) and the European immigrants Ludwig von Mises and Ayn Rand carried on the intellectual libertarian tradition. In fiction, one can cite the work of the science fiction author Robert A. Heinlein, whose writing carried libertarian underpinnings. Mencken and Nock were the first prominent figures in the United States to privately call themselves libertarians. They believed Franklin D. Roosevelt had co-opted the word liberal for his New Deal policies which they opposed and used libertarian to signify their allegiance to individualism. In 1923, Mencken wrote: "My literary theory, like my politics, is based chiefly upon one idea, to wit, the idea of freedom. I am, in belief, a libertarian of the most extreme variety". As of the mid-20th century, no word was used to describe the ideological outlook of this group of thinkers. Most of them would have described themselves as liberals before the New Deal, but by the mid-1930s the word liberalism had been widely used to mean social liberalism with the New Deal realignment of American politics. The word liberal had ceased to refer to the support of individual rights and limited government and instead came to denote left-leaning ideas that would be seen elsewhere as social-democratic. American advocates of classical liberalism bemoaned the loss of the word liberal and cast about for others to replace it. In August 1953, Max Eastman proposed the terms New Liberalism and liberal conservative which were not eventually accepted. In May 1955, the term libertarian was first publicly used in the United States as a synonym for classical liberal when writer Dean Russell (1915–1998), a colleague of Leonard Read and a classical liberal himself, proposed the libertarian solution and justified the choice of the word as follows: Many of us call ourselves "liberals." And it is true that the word "liberal" once described persons who respected the individual and feared the use of mass compulsions. But the leftists have now corrupted that once-proud term to identify themselves and their program of more government ownership of property and more controls over persons. As a result, those of us who believe in freedom must explain that when we call ourselves liberals, we mean liberals in the uncorrupted classical sense. At best, this is awkward and subject to misunderstanding. Here is a suggestion: Let those of us who love liberty trade-mark and reserve for our own use the good and honorable word "libertarian". Subsequently, a growing number of Americans with classical liberal beliefs in the United States began to describe themselves as libertarian. The person most responsible for popularizing the term libertarian was Murray Rothbard, who started publishing libertarian works in the 1960s. Before the 1950s, H.L. Mencken and Albert Jay Nock had been the first prominent figures in the United States to privately call themselves libertarians. In the 1950s, Russian-American novelist Ayn Rand developed a philosophical system called Objectivism, expressed in her novels The Fountainhead and Atlas Shrugged as well as other works which influenced many libertarians. However, she rejected the label libertarian and harshly denounced the libertarian movement as the "hippies of the right". Nonetheless, philosopher John Hospers, a one-time member of Rand's inner circle, proposed a non-initiation of force principle to unite both groups—this statement later became a required pledge for candidates of the Libertarian Party and Hospers himself became its first presidential candidate in 1972. Along with Isabel Paterson and Rose Wilder Lane, Rand is described as one of the three female founding figures of the modern libertarian movement in the United States. Although influenced by the work of the 19th-century American individualist anarchists, themselves influenced by classical liberalism. Rothbard thought they had a faulty understanding of economics because they accepted the labor theory of value as influenced by the classical economists while he was a student of neoclassical economics and supported the subjective theory of value. Rothbard sought to meld 19th-century American individualists' advocacy of free markets and private defense with the principles of Austrian economics, arguing that there is a "scientific explanation of the workings of the free market (and of the consequences of government intervention in that market) which individualist anarchists could easily incorporate into their political and social Weltanschauung". Arizona Senator Barry Goldwater's libertarian-oriented challenge to authority had a major impact on the libertarian movement through his book The Conscience of a Conservative and his 1964 presidential campaign. Goldwater's speech writer Karl Hess became a leading libertarian writer and activist. The Vietnam War split the uneasy alliance between growing numbers of self-identified libertarians and traditionalist conservatives who believed in limiting liberty to uphold moral virtues. Libertarians opposed to the war joined the draft resistance and peace movements and organizations such as Students for a Democratic Society. They began founding their own publications like Rothbard's The Libertarian Forum and organizations like the Radical Libertarian Alliance. The split was aggravated at the 1969 Young Americans for Freedom convention when more than 300 libertarians coordinated to take control of the organization from conservatives. The burning of a draft card in protest to a conservative proposal against draft resistance sparked physical confrontations among convention attendees, a walkout by a large number of libertarians, the creation of libertarian organizations like the Society for Individual Liberty and efforts to recruit potential libertarians from conservative organizations. The split was finalized in 1971 when conservative leader William F. Buckley Jr. attempted to divorce libertarianism from the movement, writing in a New York Times article as follows: "The ideological licentiousness that rages through America today makes anarchy attractive to the simple-minded. Even to the ingeniously simple-minded". As a result of the split, a small group of Americans led by David Nolan and a few friends formed the Libertarian Party in 1971. Attracting former Democrats, Republicans and independents, it has run a presidential candidate every election year since 1972. Over the years, dozens of libertarian political parties have been formed worldwide. Educational organizations like the Center for Libertarian Studies and the Cato Institute were formed in the 1970s and others have been created since then. Philosophical libertarianism gained a significant measure of recognition in academia with the publication in 1974 of Harvard University professor Robert Nozick's Anarchy, State, and Utopia, a response to John Rawls's A Theory of Justice (1971). The book proposed a minimal state on the grounds that it was an inevitable phenomenon that could arise without violating individual rights. The book won a National Book Award in 1975. According to libertarian essayist Roy Childs, "Nozick's Anarchy, State, and Utopia single-handedly established the legitimacy of libertarianism as a political theory in the world of academia". British historians Emily Robinson, Camilla Schofield, Florence Sutcliffe-Braithwaite and Natalie Thomlinson have argued that by the 1970s Britons were keen about defining and claiming their individual rights, identities and perspectives. They demanded greater personal autonomy and self-determination and less outside control. They angrily complained that the establishment was withholding it. They argue this shift in concerns helped cause Thatcherism and was incorporated into Thatcherism's appeal. Since the resurgence of neoliberalism in the 1970s, this form of libertarianism has spread beyond North America and Europe, having been more successful at spreading worldwide than other conservative ideas. It has been noted that "[m]ost parties of the Right [today] are run by economically liberal conservatives who, in varying degrees, have marginalized social, cultural, and national conservatives". Academics as well as proponents of the capitalist free-market perspectives note that libertarianism has spread beyond the United States since the 1970s via think tanks and political parties and that libertarianism is increasingly viewed as a capitalist free-market position. However, libertarian intellectuals Noam Chomsky, Colin Ward and others argue that the term libertarianism is considered a synonym for anarchism and libertarian socialism by the international community and that the United States is unique in widely associating it with the capitalist free-market ideology. Modern libertarianism in the United States mainly refers to classical and economic liberalism. It supports capitalist free-market approaches as well as neoliberal policies and economic liberalization reforms such as austerity, deregulation, free trade, privatization and reductions in government spending in order to increase the role of the private sector in the economy and society. This is unlike the common meaning of libertarianism elsewhere, with libertarianism being used to refer to the largely overlapping right-libertarianism, the most popular conception of libertarianism in the United States, where the term itself was first coined and used by Joseph Déjacque to refer to a new political philosophy rejecting all authority and hierarchies, including the market and property. In a 1975 interview with Reason, California Governor Ronald Reagan appealed to libertarians when he stated to "believe the very heart and soul of conservatism is libertarianism". Ron Paul was one of the first elected officials in the nation to support Reagan's presidential campaign and actively campaigned for Reagan in 1976 and 1980. However, Paul quickly became disillusioned with the Reagan administration's policies after Reagan's election in 1980 and later recalled being the only Republican to vote against Reagan budget proposals in 1981, aghast that "in 1977, Jimmy Carter proposed a budget with a $38 billion deficit, and every Republican in the House voted against it. In 1981, Reagan proposed a budget with a $45 billion deficit – which turned out to be $113 billion – and Republicans were cheering his great victory. They were living in a storybook land". Paul expressed his disgust with the political culture of both major parties in a speech delivered in 1984 upon resigning from the House of Representatives to prepare for a failed run for the Senate and eventually apologized to his libertarian friends for having supported Reagan. By 1987, Paul was ready to sever all ties to the Republican Party as explained in a blistering resignation letter. While affiliated with both Libertarian and Republican parties at different times, Paul said he had always been a libertarian at heart. Paul was the Libertarian Party candidate for president in 1988. In the 1980s, libertarians such as Paul and Rothbard criticized President Reagan, Reaganomics and policies of the Reagan administration for, among other reasons, having turned the United States' big trade deficit into debt and the United States became a debtor nation for the first time since World War I under the Reagan administration. Rothbard argued that the presidency of Reagan has been "a disaster for libertarianism in the United States" and Paul described Reagan himself as "a dramatic failure". In the 21st century, libertarian groups have been successful in advocating tax cuts and regulatory reform. While some argue that the American public as a whole shifted away from libertarianism following the fall of the Soviet Union, citing the success of multinational organizations such as NAFTA and the increasingly interdependent global financial system, others argue that libertarian ideas have moved so far into the mainstream that many Americans who do not identify as libertarian now hold libertarian views. Circa 2006 polls find that the views and voting habits of between 10 and 20 percent (increasing) of voting age Americans may be classified as "fiscally conservative and socially liberal, or libertarian". This is based on pollsters and researchers defining libertarian views as fiscally conservative and socially liberal (based on the common United States meanings of the terms) and against government intervention in economic affairs and for expansion of personal freedoms. Through 20 polls on this topic spanning 13 years, Gallup found that voters who are libertarian on the political spectrum ranged from 17 to 23% of the electorate. While libertarians make up a larger portion of the electorate than the much-discussed "soccer moms" and "NASCAR dads", this is not widely recognized as most of these vote for Democratic and Republican party candidates, leading some libertarians to believe that dividing people's political leanings into "conservative", "liberal" and "confused" is not valid. In the United States, libertarians may emphasize economic and constitutional rather than religious and personal policies, or personal and international rather than economic policies such as the Tea Party movement (founded in 2009) which has become a major outlet for libertarian Republican ideas, especially rigorous adherence to the Constitution, lower taxes and an opposition to a growing role for the federal government in health care. However, polls show that many people who identify as Tea Party members do not hold traditional libertarian views on most social issues and tend to poll similarly to socially conservative Republicans. During the 2016 presidential election, many Tea Party members eventually abandoned more libertarian-leaning views in favor of Donald Trump and his right-wing populism. Additionally, the Tea Party was considered to be a key force in Republicans reclaiming control of the House of Representatives in 2010. Texas Congressman Ron Paul's 1988, 2008 and 2012 campaigns for the Republican Party presidential nomination were largely libertarian. Along with Goldwater and others, Paul popularized laissez-faire economics and libertarian rhetoric in opposition to interventionism and worked to pass some reforms. Likewise, California Governor and future President of the United States Ronald Reagan appealed to cultural conservative libertarians due its social conservatism and in a 1975 interview with Reason stated: "I believe the very heart and soul of conservatism is libertarianism". However, many libertarians are ambivalent about Reagan's legacy as president due its social conservatism and how the Reagan administration turned the United States' big trade deficit into debt, making the United States a debtor nation for the first time since World War I. Ron Paul was affiliated with the libertarian-leaning Republican Liberty Caucus and founded the Campaign for Liberty, a libertarian-leaning membership and lobbying organization. Rand Paul is a Senator who continues the tradition of his father Ron Paul, albeit more moderately as he has described himself as a constitutional conservative and has both embraced and rejected libertarianism. Since 2012, former New Mexico Governor and two-time Libertarian Party presidential nominee Gary Johnson has been one of the public faces of the libertarian movement. The 2016 Libertarian National Convention saw Johnson and Bill Weld nominated as the 2016 presidential ticket and resulted in the most successful result for a third-party presidential candidacy since 1996 and the best in the Libertarian Party's history by vote number. Johnson received 3% of the popular vote, amounting to more than 4.3 million votes. Johnson expressed a desire to win at least 5% of the vote so that the Libertarian Party candidates could get equal ballot access and federal funding, ending the two-party system. While some political commentators have described Senator Rand Paul and Congressman Thomas Massie of Kentucky as Republican libertarians or libertarian-leaning, they prefer to identify as constitutional conservatives. One federal officeholder openly professing some form of libertarianism is Congressman Justin Amash, who represents Michigan's 3rd congressional district since January 2011. Initially elected to Congress as a Republican, Amash left the party and became an independent in July 2019. In April 2020, Amash joined the Libertarian Party and became the first member of the party in the House of Representatives. Following the 2022 Libertarian National Convention, the Mises Caucus, a paleolibertarian faction, became the dominant faction on the Libertarian National Committee. A variant of non-intellectual right-libertarianism that has been described as "growing in prominence", "changing the dynamics" of the conservative movement in the U.S., and even "largely defin[ing] the Republican coalition" in the 2020s, has been dubbed "Barstool conservatism". First coined in 2021 by journalist Matthew Walther, the term describes a movement whose primary base of support is young non-religious males, and combines total opposition to political correctness and "wokism" with the more traditional libertarian opposition to controls on the pursuits of pleasure (sex, gambling, pornography, alcohol). In the United States, elements of libertarianism have merged with libertarian authoritarianism and right-wing populist themes. Right-wing libertarian ideals are also prominent in the far-right American militia movement associated with extremist anti-government ideas. Anti-capitalist libertarianism has recently aroused renewed interest in the early 21st century. The Winter 2006 issue of the Journal of Libertarian Studies published by the Mises Institute was dedicated to reviews of Kevin Carson's Studies in Mutualist Political Economy. One variety of this kind of libertarianism has been a resurgent mutualism, incorporating modern economic ideas such as marginal utility theory into mutualist theory. Carson's Studies in Mutualist Political Economy helped to stimulate the growth of new-style mutualism, articulating a version of the labor theory of value incorporating ideas drawn from Austrian economics. In 2022, the term kremlintarian emerged as a description of an individual claiming libertarian identity while defending the behavior of totalitarian regimes. Schools of thought There are broadly two ethical viewpoints within libertarianism, namely consequentialist libertarianism and deontological libertarianism. The first type is based on consequentialism, only taking into account the consequences of actions and rules when judging them and holds that free markets and strong property rights have good consequences. The second type is based on deontological ethics and is the theory that all individuals possess certain natural or moral rights, mainly a right of individual sovereignty. Acts of initiation of force and fraud are rights-violations and that is sufficient reason to oppose those acts. Deontological libertarianism is supported by the Libertarian Party. In order to become a card-carrying member, one must sign an oath opposing the initiation of force to achieve political or social goals. Prominent consequentialist libertarians include David D. Friedman, Milton Friedman, Friedrich Hayek, Peter Leeson, Ludwig von Mises and R. W. Bradford. Prominent deontological libertarians include Hans-Hermann Hoppe, Ayn Rand and Murray Rothbard. In addition to the consequentialist libertarianism as promoted by Hayek, Mark Bevir holds that there is also left and right libertarianism. Left-libertarianism and right-libertarianism is a categorization used by some political analysts, academics and media sources in the United States to contrast related yet distinct approaches to libertarian philosophy. Peter Vallentyne defines right-libertarianism as holding that unowned natural resources "may be appropriated by the first person who discovers them, mixes her labor with them, or merely claims them—without the consent of others, and with little or no payment to them". He contrasts this with left-libertarianism, where such "unappropriated natural resources belong to everyone in some egalitarian manner". Similarly, Charlotte and Lawrence Becker maintain that left-libertarianism most often refers to the political position that holds natural resources are originally common property while right-libertarianism is the political position that considers them to be originally unowned and therefore may be appropriated at-will by private parties without the consent of, or owing to, others. Followers of Samuel Edward Konkin III, who characterized agorism as a form of left-libertarianism and strategic branch of market anarchism, use the terminology as outlined by Roderick T. Long, who describes left-libertarianism as "an integration, or I'd argue, a reintegration of libertarianism with concerns that are traditionally thought of as being concerns of the left. That includes concerns for worker empowerment, worry about plutocracy, concerns about feminism and various kinds of social equality". Konkin defined right-libertarianism as an "activist, organization, publication or tendency which supports parliamentarianism exclusively as a strategy for reducing or abolishing the state, typically opposes Counter-Economics, either opposes the Libertarian Party or works to drag it right and prefers coalitions with supposedly 'free-market' conservatives". While holding that the important distinction for libertarians is not left or right, but whether they are "government apologists who use libertarian rhetoric to defend state aggression", Anthony Gregory describes left-libertarianism as maintaining interest in personal freedom, having sympathy for egalitarianism and opposing social hierarchy, preferring a liberal lifestyle, opposing big business and having a New Left opposition to imperialism and war. Right-libertarianism is described as having interest in economic freedom, preferring a conservative lifestyle, viewing private business as a "great victim of the state" and favoring a non-interventionist foreign policy, sharing the Old Right's "opposition to empire". Although some libertarians such as Walter Block, Harry Browne, Leonard Read and Murray Rothbard reject the political spectrum (especially the left–right political spectrum) whilst denying any association with both the political right and left, other libertarians such as Kevin Carson, Karl Hess, Roderick T. Long and Sheldon Richman have written about libertarianism's left-wing opposition to authoritarian rule and argued that libertarianism is fundamentally a left-wing position. Rothbard himself previously made the same point, rejecting the association of statism with the left. Thin and thick libertarianism are two kinds of libertarianism. Thin libertarianism deals with legal issues involving the non-aggression principle only and would permit a person to speak against other groups as long as they did not support the initiation of force against others. Walter Block is an advocate of thin libertarianism. Jeffrey Tucker describes thin libertarianism as "brutalism" which he compares unfavorably to "humanitarianism". Thick libertarianism goes further to also cover moral issues. Charles W. Johnson describes four kinds of thickness, namely thickness for application, thickness from grounds, strategic thickness and thickness from consequences. Thick libertarianism is sometimes viewed as more humanitarian than thin libertarianism. Wendy McElroy has stated that she would leave the movement if thick libertarianism prevails. Stephan Kinsella rejects the dichotomy altogether, writing: "I have never found the thick-thin paradigm to be coherent, consistent, well-defined, necessary, or even useful. It's full of straw men, or seems to try to take credit for quite obvious and uncontroversial assertions". Organizations The Alliance of the Libertarian Left is a left-libertarian organization that includes a multi-tendency coalition of agorists, geolibertarians, green libertarians, left-Rothbardians, minarchists, mutualists and voluntaryists. The Cato Institute is a libertarian think tank headquartered in Washington, D.C. It was founded as the Charles Koch Foundation in 1974 by Ed Crane, Murray Rothbard and Charles Koch, chairman of the board and chief executive officer of the conglomerate Koch Industries, the second largest privately held company by revenue in the United States. In July 1976, the name was changed to the Cato Institute. The Cato Institute was established to have a focus on public advocacy, media exposure and societal influence. According to the 2014 Global Go To Think Tank Index Report by the Think Tanks and Civil Societies Program of the University of Pennsylvania, the Cato Institute is number 16 in the "Top Think Tanks Worldwide" and number 8 in the "Top Think Tanks in the United States". The Cato Institute also topped the 2014 list of the budget-adjusted ranking of international development think tanks. The Center for Libertarian Studies was a libertarian educational organization founded in 1976 by Murray Rothbard and Burton Blumert which grew out of the Libertarian Scholars Conferences. It published the Journal of Libertarian Studies from 1977 to 2000 (now published by the Mises Institute), a newsletter (In Pursuit of Liberty), several monographs and sponsors conferences, seminars and symposia. Originally headquartered in New York, it later moved to Burlingame, California. Until 2007, it supported LewRockwell.com, web publication of vice president Lew Rockwell. It also had previously supported Antiwar.com, a project of the Randolph Bourne Institute. The Center for a Stateless Society is a left-libertarian organization and free-market anarchist think tank. Kevin Carson's Studies in Mutualist Political Economy aims to revive interest in mutualism in an effort to synthesize Austrian economics with the labor theory of value by attempting to incorporate both subjectivism and time preference. The Foundation for Economic Education is a libertarian think tank dedicated to the "economic, ethical and legal principles of a free society". It publishes books and daily articles as well as hosting seminars and lectures. The Free State Project is an activist libertarian movement formed in 2001. It is working to bring libertarians to the state of New Hampshire to protect and advance liberty. As of July 2022[update], the project website showed that 19,988 people have pledged to move and 6,232 people identified as Free Staters in New Hampshire. Free State Project participants interact with the political landscape in New Hampshire in various ways. In 2017, there were 17 Free Staters in the New Hampshire House of Representatives, and in 2021, the New Hampshire Liberty Alliance, which ranks bills and elected representatives based on their adherence to what they see as libertarian principles, scored 150 representatives as "A−" or above rated representatives. Participants also engage with other like-minded activist groups such as Rebuild New Hampshire, Young Americans for Liberty, and Americans for Prosperity. The Libertarian Party is a political party that promotes civil liberties, non-interventionism, laissez-faire capitalism and limiting the size and scope of government. The first-world such libertarian party, it was conceived in August 1971 at meetings in the home of David Nolan in Westminster, Colorado, in part prompted due to concerns about the Nixon administration, the Vietnam War, conscription and the introduction of fiat money. It was officially formed on December 11, 1971, in Colorado Springs, Colorado. The Libertarian Party asserts the following core beliefs of libertarianism: "Libertarians support maximum liberty in both personal and economic matters. They advocate a much smaller government; one that is limited to protecting individuals from coercion and violence. Libertarians tend to embrace individual responsibility, oppose government bureaucracy and taxes, promote private charity, tolerate diverse lifestyles, support the free market, and defend civil liberties." The Liberty International is a non-profit, libertarian educational organization based in San Francisco. It encourages activism in libertarian and individual rights areas by the freely chosen strategies of its members. Its history dates back to 1969 as the Society for Individual Liberty founded by Don Ernsberger and Dave Walter. The previous name of the Liberty International as the International Society for Individual Liberty was adopted in 1989 after a merger with the Libertarian International was coordinated by Vince Miller, who became president of the new organization. The Mises Institute is a tax-exempt, libertarian educative organization located in Auburn, Alabama. Named after Austrian School economist Ludwig von Mises, its website states that it exists to promote "teaching and research in the Austrian school of economics, and individual freedom, honest history, and international peace, in the tradition of Ludwig von Mises and Murray N. Rothbard". According to the Mises Institute, Nobel Prize winner Friedrich Hayek served on their founding board. The Mises Institute was founded in 1982 by Lew Rockwell, Burton Blumert and Murray Rothbard following a split between the Cato Institute and Rothbard, who had been one of the founders of the Cato Institute. Additional backing came from Mises's wife Margit von Mises, Henry Hazlitt, Lawrence Fertig and Nobel Economics laureate Friedrich Hayek. Through its publications, the Mises Institute promotes libertarian political theories, Austrian School economics and a form of heterodox economics known as praxeology ("the logic of action"). The Molinari Institute is a left-libertarian, free-market anarchist organization directed by philosopher Roderick T. Long. It is named after Gustave de Molinari, whom Long terms the "originator of the theory of Market Anarchism". The Reason Foundation is a libertarian think tank and non-profit and tax-exempt organization that was founded in 1978. It publishes the magazine Reason and is committed to advancing "the values of individual freedom and choice, limited government, and market-friendly policies". In the 2014 Global Go To Think Tank Index Report by the Think Tanks and Civil Societies Program of the University of Pennsylvania, the Reason Foundation was number 41 out of 60 in the "Top Think Tanks in the United States". People Contentions Corey Robin describes libertarianism as fundamentally a conservative ideology united with more traditionalist conservative thought and goals by a desire to retain hierarchies and traditional social relations. Others also describe libertarianism as a reactionary ideology for its support of laissez-faire capitalism and a major reversal of the modern welfare state. In the 1960s, Rothbard started the publication Left and Right: A Journal of Libertarian Thought, believing that the left–right political spectrum had gone "entirely askew". Since conservatives were sometimes more statist than liberals, Rothbard tried to reach out to leftists. In 1971, Rothbard wrote about his view of libertarianism which he described as supporting free trade, property rights and self-ownership. He would later describe his brand of libertarianism as anarcho-capitalism and paleolibertarianism. Anthony Gregory points out that within the libertarian movement, "just as the general concepts "left" and "right" are riddled with obfuscation and imprecision, left- and right-libertarianism can refer to any number of varying and at times mutually exclusive political orientations". Some libertarians reject association with either the right or the left. Leonard Read wrote an article titled "Neither Left Nor Right: Libertarians Are Above Authoritarian Degradation". Harry Browne wrote: "We should never define Libertarian positions in terms coined by liberals or conservatives—nor as some variant of their positions. We are not fiscally conservative and socially liberal. We are Libertarians, who believe in individual liberty and personal responsibility on all issues at all times". Tibor R. Machan titled a book of his collected columns Neither Left Nor Right. Walter Block's article "Libertarianism Is Unique and Belongs Neither to the Right Nor the Left" critiques libertarians he described as left (C. John Baden, Randy Holcombe and Roderick T. Long) and right (Edward Feser, Hans-Hermann Hoppe and Ron Paul). Block wrote that these left and right individuals agreed with certain libertarian premises, but "where we differ is in terms of the logical implications of these founding axioms". On the other hand, libertarians such as Kevin Carson, Karl Hess, Roderick T. Long and Sheldon Richman consciously label themselves as left-libertarians. Objectivism is a philosophical system developed by Russian-American writer Ayn Rand. Rand first expressed Objectivism in her fiction, most notably We the Living (1936), The Fountainhead (1943) and Atlas Shrugged (1957), but also in later non-fiction essays and books such as The Virtue of Selfishness (1964) and Capitalism: The Unknown Ideal (1966), among others. Leonard Peikoff, a professional philosopher and Rand's designated intellectual heir, later gave it a more formal structure. Rand described Objectivism as "the concept of man as a heroic being, with his own happiness as the moral purpose of his life, with productive achievement as his noblest activity, and reason as his only absolute". Peikoff characterizes Objectivism as a "closed system" that is not subject to change. Objectivism's central tenets are that reality exists independently of consciousness, that human beings have direct contact with reality through sense perception, that one can attain objective knowledge from perception through the process of concept formation and inductive logic, that the proper moral purpose of one's life is the pursuit of one's own happiness, that the only social system consistent with this morality is one that displays full respect for individual rights embodied in laissez-faire capitalism and that the role of art in human life is to transform humans' metaphysical ideas by selective reproduction of reality into a physical form—a work of art—that one can comprehend and to which one can respond emotionally. The Objectivist movement founded by Rand attempts to spread her ideas to the public and in academic settings. Objectivism has been and continues to be a major influence on the libertarian movement. Many libertarians justify their political views using aspects of Objectivism. However, the views of Rand and her philosophy among prominent libertarians are mixed and many Objectivists are hostile to libertarians in general. Nonetheless, Objectivists such as David Kelley and his Atlas Society have argued that Objectivism is an "open system" and are more open to libertarians. Although academic philosophers have mostly ignored or rejected Rand's philosophy, Objectivism has been a significant influence among conservatives and libertarians in the United States. Analysis, reception and criticism Criticism of libertarianism includes ethical, economic, environmental, pragmatic and philosophical concerns, including the view that it has no explicit theory of liberty. It has been argued that laissez-faire capitalism does not necessarily produce the best or most efficient outcome and that its philosophy of individualism as well as policies of deregulation do not prevent the exploitation of natural resources. Michael Lind has observed that of the 195 countries in the world today, none have fully actualized a society as advocated by libertarians, arguing: "If libertarianism was a good idea, wouldn't at least one country have tried it? Wouldn't there be at least one country, out of nearly two hundred, with minimal government, free trade, open borders, decriminalized drugs, no welfare state and no public education system?" Lind has criticized libertarianism for being incompatible with democracy and apologetic towards autocracy. In response, libertarian Warren Redlich argues that the United States "was extremely libertarian from the founding until 1860, and still very libertarian until roughly 1930". Nancy MacLean has criticized libertarianism, arguing that it is a radical right ideology that has stood against democracy. According to MacLean, libertarian-leaning Charles and David Koch have used anonymous, dark money campaign contributions, a network of libertarian institutes and lobbying for the appointment of libertarian, pro-business judges to United States federal and state courts to oppose taxes, public education, employee protection laws, environmental protection laws and the New Deal Social Security program. Libertarianism has been criticized by the political left for being pro-business and anti-labor, for desiring to repeal government subsidies to disabled people and the poor and being incapable of addressing environmental issues, therefore contributing to the failure to slow global climate change. Left-libertarians such as Noam Chomsky have characterized libertarian ideologies as being akin to corporate fascism because they aim to remove all public controls from the economy, leaving it solely in the hands of private corporations. Chomsky has also argued that the more radical forms of libertarianism such as anarcho-capitalism are entirely theoretical and could never function in reality due to business' reliance on the state as well as infrastructure and publicly funded subsidies. Another criticism is based on the libertarian theory that a distinction can be made between positive and negative rights, according to which negative liberty (negative rights) should be recognized as legitimate, but positive liberty (positive rights) should be rejected. Socialists also have a different view and definition of liberty, with some arguing that the capitalist mode of production necessarily relies on and reproduces violations of the liberty of members of the working class by the capitalist class such as through exploitation of labor and through alienation from the product of one's labor. Anarchist critics such as Brian Morris have expressed skepticism regarding libertarians' sincerity in supporting a limited or minimal state, or even no state at all, arguing that anarcho-capitalism does not abolish the state and that anarcho-capitalists "simply replaced the state with private security firms, and can hardly be described as anarchists as the term is normally understood". Peter Sabatini has noted: "Within Libertarianism, Rothbard represents a minority perspective that actually argues for the total elimination of the state. However Rothbard's claim as an anarchist is quickly voided when it is shown that he only wants an end to the public state. In its place he allows countless private states, with each person supplying their own police force, army, and law, or else purchasing these services from capitalist vendors. [...] Rothbard sees nothing at all wrong with the amassing of wealth, therefore those with more capital will inevitably have greater coercive force at their disposal, just as they do now". For Bob Black, libertarians are conservatives and anarcho-capitalists want to "abolish the state to his own satisfaction by calling it something else". Black argues that anarcho-capitalists do not denounce what the state does and only "object to who's doing it". Similarly, Paul Birch has argued that anarcho-capitalism would dissolve into a society of city states. Other libertarians have criticized what they term propertarianism, with Ursula K. Le Guin contrasting in The Dispossessed (1974) a propertarian society with one that does not recognize private property rights in an attempt to show that property objectified human beings. Left-libertarians such as Murray Bookchin objected to propertarians calling themselves libertarians. Bookchin described three concepts of possession, namely property itself, possession and usufruct, i.e. appropriation of resources by virtue of use. From the political right, traditionalist conservative philosopher Russell Kirk criticized libertarianism by quoting T. S. Eliot's expression "chirping sectaries" to describe them. Kirk had questioned the fusionism between libertarian and traditionalist conservatives that marked much of the post-war conservatism in the United States. Kirk stated that "although conservatives and libertarians share opposition to collectivism, the totalist state and bureaucracy, they have otherwise nothing in common" and called the libertarian movement "an ideological clique forever splitting into sects still smaller and odder, but rarely conjugating". Believing that a line of division exists between believers in "some sort of transcendent moral order" and "utilitarians admitting no transcendent sanctions for conduct", he included the libertarians in the latter category. He also berated libertarians for holding up capitalism as an absolute good, arguing that economic self-interest was inadequate to hold an economic system together and that it was even less adequate to preserve order. Kirk believed that by glorifying the individual, the free market and the dog-eat-dog struggle for material success, libertarianism weakened community, promoted materialism and undermined appreciation of tradition, love, learning and aesthetics, all of which in his view were essential components of true community. Author and professor Carl Bogus states that there were fundamental differences between libertarians and traditionalist conservatives in the United States as libertarians wanted the market to be unregulated as possible while traditionalist conservatives believed that big business, if unconstrained, could impoverish national life and threaten freedom. Libertarians also considered that a strong state would threaten freedom while traditionalist conservatives regarded a strong state, one which is properly constructed to ensure that not too much power accumulated in any one branch, was necessary to ensure freedom. See also References Bibliography External links |
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Contents Kickstarter Kickstarter, PBC is an American public benefit corporation based in Brooklyn, New York City, that maintains a global crowdfunding platform focused on creativity. The company's stated mission is to "help bring creative projects to life". As of April 2025, Kickstarter has received US$8.71 billion in pledges from 24.1 million backers to fund 277,302 projects, such as films, music, stage shows, comics, journalism, video games, board games, technology, publishing, and food-related projects. People who back Kickstarter projects are offered tangible rewards or experiences in exchange for their pledges. This model traces its roots to subscription model of arts patronage, in which artists would go directly to their audiences to fund their work. History Kickstarter launched on April 28, 2009, by Perry Chen, Yancey Strickler, and Charles Adler. The New York Times called Kickstarter "the people's NEA". Time named it one of the "Best Inventions of 2010" and "Best Websites of 2011". Kickstarter reportedly raised $10 million funding from backers including NYC-based venture firm Union Square Ventures and angel investors such as Jack Dorsey, Zach Klein and Caterina Fake. The company was based at 155 Rivington Street in Manhattan, and moved to 58 Kent Street in Greenpoint, Brooklyn in 2014 until they transitioned to a fully remote workforce after the COVID-19 pandemic. On February 14, 2013, Kickstarter released an iOS app called Kickstarter for the iPhone. The app was aimed at users who create and back projects and was the first time Kickstarter had an official mobile presence. On October 31, 2012, Kickstarter opened projects based in the United Kingdom, followed by projects based in Canada on September 9, 2013, Australia and New Zealand on November 13, 2013, the Netherlands on April 28, 2014, Denmark, Ireland, Norway, and Sweden on September 15, 2014, Germany on April 28, 2015, France and Spain on May 19, 2015, Austria, Belgium, Italy, Luxembourg and Switzerland on June 16, 2015, Singapore and Hong Kong on August 30, 2016, Mexico on November 15, 2016, and Japan on September 12, 2017. In July 2017, Strickler announced his resignation. On April 20, 2020, Kickstarter announced that it was likely going to lay off workers due to the coronavirus pandemic causing the number of active projects to be "about 35% below what it was at this time last year with no clear sign of rebound." The layoff was reported by the union to affect up to 45% of the employees, although Kickstarter has yet to report the scale of the layoff as of May 2, 2020. The union negotiated a settlement for laid off employees including four months of severance pay and up to six months of continued health benefits for anyone who gets laid off, recall rights for a year (so that those laid off can return to job openings), and a release from noncompete agreements for those who accept severance pay. In December 2021, Kickstarter announced they would be moving their platform to blockchain, with the aim of making the tools required for creating a crowdfunding site available to anyone. The pivot came on the back of a $100 million investment from the crypto fund of Andreessen Horowitz. The decision backfired, alienated many users, damaging Kickstarter's reputation. On October 2, 2025, Kickstarter United went on strike while bargaining to maintain the four-day workweek and to raise wages for the lowest paid workers at the company. In November 2025, workers voted to end the strike after 42 days, having secured codification of the four-day workweek, increases in the salary floor based on cost of living, and protections against replacement of workers with generative AI. Model Kickstarter is one of a number of crowdfunding platforms for gathering money from the public, which circumvents traditional avenues of investment. Project creators choose a deadline and a minimum funding goal. If the goal is not met by the deadline, no funds are collected (a kind of assurance contract). The Kickstarter platform is open to backers from anywhere in the world and to creators from Australia, Austria, Belgium, Canada, Denmark, France, Germany, Greece, Hong Kong, Ireland, Italy, Japan, Luxembourg, Mexico, the Netherlands, New Zealand, Norway, Poland, Singapore, Slovenia, Spain, Sweden, Switzerland, the United Kingdom, and the United States. Kickstarter applies a 5% fee on the total amount of the funds raised. Its payments processor applies an additional 3–5% fee. Unlike many forums for fundraising or investment, Kickstarter claims no ownership over the projects and the work they produce. The web pages of projects launched on the site are permanently archived and accessible to the public. After funding is completed, projects and uploaded media cannot be edited or removed from the site. There is no guarantee that people who post projects on Kickstarter will deliver on their projects, use the money to implement their projects, or that the completed projects will meet backers' expectations. Kickstarter advises backers to use their judgment on supporting a project. They also warn project leaders that they could be liable for legal damages from backers for failure to deliver on promises. Projects might also fail even after a successful fundraising campaign when creators underestimate the total costs required or technical difficulties to be overcome. When asked what made Kickstarter different from other crowdfunding platforms, co-founder Perry Chen said: "I wonder if people really know what the definition of crowdfunding is. Or, if there's even an agreed upon definition of what it is. We haven't actively supported the use of the term because it can provoke more confusion. In our case, we focus on a middle ground between patronage and commerce. People are offering cool stuff and experiences in exchange for the support of their ideas. People are creating these mini-economies around their project ideas. So, you aren't coming to the site to get something for nothing; you are trying to create value for the people who support you. We focus on creative projects—music, film, technology, art, design, food and publishing—and within the category of crowdfunding of the arts, we are probably ten times the size of all the others combined." On June 21, 2012, Kickstarter began publishing statistics on its projects. As of December 4, 2019, there were 469,286 launched projects (3,524 in progress), with a success rate of 37.45% (success rate being how many were successfully funded by reaching their set goal).[clarification needed] The total amount pledged was $4,690,286,673. The business grew quickly in its early years. In 2010 Kickstarter had 3,910 successful projects and $27,638,318 pledged. The corresponding figures for 2011 were 11,836 successfully funded projects and $99,344,381 pledged; and there were 18,109 successfully funded projects, $610,352 pledged in 2012. On February 9, 2012, Kickstarter hit a number of milestones. A dock made for the iPhone designed by Casey Hopkins became the first Kickstarter project to exceed one million dollars in pledges. A few hours later, a new adventure game project started by computer game developers, Double Fine Productions, reached the same figure, having been launched less than 24 hours earlier, and finished with over $3 million pledged. This was also the first time Kickstarter raised over a million dollars in pledges in a single day. On August 30, 2014, the "Coolest Cooler", an icebox created by Ryan Grepper, became the most funded Kickstarter project in history, with US$13.28 million in funding, breaking the record previously held by the Pebble smartwatch. From 2012 to 2013, Wharton professor Ethan Mollick and Jeanne Pi conducted research into what contributes to a project's success or failure on Kickstarter. Some key findings from the analysis were that increasing goal size is negatively associated successfully, projects that are featured on the Kickstarter homepage have an 89% chance of being successful, compared to 30% without, and that for an average $10,000 project, a 30-day project has a 35% chance of success, while a 60-day project has a 29% chance of success, all other things being constant. The ten largest Kickstarter projects by funds raised are listed below. Among successful projects, most raise between $1,000 and $9,999. These dollar amounts drop to less than half in the Design, Games, and Technology categories. However, the median amount raised for the latter two categories remains in the four-figure range. There is substantial variation in the success rate of projects falling under different categories. Over two thirds of completed dance projects have been successful. In contrast, fewer than 30% of completed fashion projects have reached their goal. Most failing projects fail to achieve 20% of their goals and this trend applies across all categories. Indeed, over 80% of projects that pass the 20% mark reach their goal. Creators categorize their projects into one of 13 categories and 36 subcategories. They are: Art, Comics, Dance, Design, Fashion, Film and Video, Food, Games, Music, Photography, Publishing, Technology and Theater. Of these categories, Film & Video and Music are the largest categories and have raised the most money. These categories, along with Games, account for over half the money raised. Video games and tabletop games alone account for more than $2 out of every $10 spent on Kickstarter. To maintain its focus as a funding platform for creative projects, Kickstarter has outlined three guidelines for all project creators to follow: creators can fund projects only; projects must fit within one of the site's 13 creative categories; and creators must abide by the site's prohibited uses, which include charity and awareness campaigns. Kickstarter has additional requirements for hardware and product design projects. These include The guidelines are designed to reinforce Kickstarter's position that people are backing projects, not placing orders for a product. To underscore the notion that Kickstarter is a place in which creators and audiences make things together, creators across all categories are asked to describe the risks and challenges a project faces in producing it. This educates the public about the project goals and encourages contributions to the community. Notable projects and creators Several creative works have gone on to receive critical acclaim and accolades after being funded on Kickstarter. Others, such as the Ouya console, have resulted in commercial failure. The documentary short "Sun Come Up" and documentary short "Incident in New Baghdad" were each nominated for an Academy Award; contemporary art projects "EyeWriter" and "Hip-Hop Word Count" were both chosen to exhibit in the Museum of Modern Art in 2011; filmmaker Matt Porterfield was selected to screen his film Putty Hill at the Whitney Biennial In 2012; author Rob Walker's Hypothetical Futures project exhibited at the 13th International Venice Architecture Biennale; musician Amanda Palmer's album Theatre is Evil debuted at No. 10 on the Billboard 200; designer Scott Wilson won a National Design Award from Smithsonian's Cooper-Hewitt, National Design Museum following the success of his TikTok + LunaTik project; the Kickstarter funded GoldieBlox toy gained nationwide distribution in 2013; and approximately 10% of the films accepted into the Sundance, SXSW and Tribeca Film Festivals are projects funded on Kickstarter. The Glowing Plant project was the first and only synthetic biology campaign on Kickstarter. The Oculus Rift began as a 2012 Kickstarter project and became one of the most funded projects at the time. The company was then acquired by Facebook two years later for $2 billion. Peloton Interactive sold its first exercise bike on Kickstarter in 2013 with an early bird price tag of $1,500. It became a public company in 2019 via an initial public offering raising $1.1 billion. Cards Against Humanity originated with a $4,000 Kickstarter campaign in 2010. Both Kickstarter and project creators have cancelled projects that appeared to have been fraudulent. Questions were raised about the projects in internet communities related to the fields of the projects. The concerns raised were: apparent copying of graphics from other sources; unrealistic performance or price claims; and failure of project sponsors to deliver on prior Kickstarter projects. Some notable cancelled projects include: Controversies Many individual Kickstarter projects caused controversy: In December 2024, Coast Runner Industries sued Kickstarter for violations of federal antitrust law in response to the suspension of its desktop CNC campaign. In February 2014, Kickstarter announced a data breach of almost 5.2 million users' data, including email addresses, usernames and salted SHA-1 hashes of passwords. On March 19, 2019, Kickstarter's staff announced plans to unionize as part of the Office and Professional Employees International Union (OPEIU), which would make Kickstarter the only major tech company to have a union. Shortly after the announcement, three senior staffers released a memo dissenting against the decision, claiming that it is too extreme and that it would be a "misappropriation of unions for use by privileged workers." According to Kickstarter employees, they wanted to found a union both for enabling collective bargaining for wages and for "giving employees more clout," allowing them to work for goals that they saw in their interest and the public's interest. In May, Aziz Hasan, then CEO of Kickstarter, announced that the company would require an election for the union rather than voluntarily recognizing it, saying that "our view is that we are better set up to be successful without the framework of a union." On September 16, the employees filed a complaint against Kickstarter with the National Labor Relations Board (NLRB) after two employees were terminated. According to the workers, they were fired for unionizing, although the company says it was for "performance issues." After these allegations, some Kickstarter creators have started a campaign against Kickstarter to let its employees unionize. On September 28, Kickstarter confirmed that it would not recognise the unionisation effort. In a statement addressed to project creators, the CEO stated that unionisation would turn workplace relations "inherently adversarial" and that it "doesn't reflect who we are as a company." Additionally, the CEO confirmed that Kickstarter stood by its decision to fire the two employees and would be pursuing legal action to fight their claims. The statement immediately resulted in criticism and calls for boycotts from creators who had previously used the platform, while writer Neil Gaiman tweeted that he would be unlikely to post support for or links to new Kickstarter campaigns "as long as they are anti-union." Kickstarter employees continued to file complaints to the NLRB, which forced Kickstarter to allow its employees a formal vote on unionization. The vote was held on the morning of February 18, 2020, with 46 voting in favor of joining the OPEIU and 37 voting against. The CEO at the time, Aziz Hasan, said after the vote, "We support and respect this decision, and we are proud of the fair and democratic process that got us here." With this, the OPEIU will now work with the union effort, Kickstarter United, to bargain with Kickstarter management for a contract. As of May 2, 2020, 60% of the workforce was part of the union. On December 8, 2021, Kickstarter announced a plan to develop a decentralized protocol on blockchain platform Celo to build an open source and blockchain-based crowdfunding infrastructure and then move its own website to that system. The announcement prompted backlash from creators and backers on Twitter, many of whom pledged to abandon Kickstarter if the move went forward. On December 15, a week later, Kickstarter responded to the controversy in a blog post that clarified the company's position but did not indicate a change of plans. See also References External links |
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