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[SOURCE: https://en.wikipedia.org/wiki/Al-Jammama] | [TOKENS: 547] |
Contents al-Jammama Al-Jammama (Arabic: الجمامه) was a Palestinian Arab village located in the Negev desert 30 km north west of the city of Beersheba. Its settled population was recorded as six in the 1931 census. History The village was an archeological site, containing cisterns, an olive press, mosaic floors, tombs, the crown of a stone column, and stone tools from the Middle Paleolithic period have been found in the vicinity. An invocation text, May Allah have mercy on you, Amr b. Sahl al Jahmi, dating from early 2nd century A.H./ 9th century C.E., was found by the remnants of an ancient bath in Al-Jammama. The inscription is presently in Kibbutz Ruhama. A construction text, for the construction of a cistern or a well, dating to late 5th AH/11th century CE, has also been found at Al-Jammama. In 1863, Victor Guérin described it as an ’inconsiderable’ ruin. In 1883, the PEF's Survey of Western Palestine (SWP) found at Khurbet Jemmameh: "Remains of a ruined village, about 20 houses. Rubble cisterns. A spring well, dry in summer. An olive press and a piece of tesselated pavement." At the end of World War I, on 8 November 1917, the British defeated the Ottoman force in Al-Jammama, which resulted in a British occupation of the village. In the 1931 census it had 6 inhabitants; all Muslim, in 1 house. Al-Jammama had an elementary school, which was founded in 1944. The kibbutz of Ruhama was also established in 1944 on the village's land. During the 1948 Arab–Israeli War it was captured by Israel's Negev and Givati brigades on May 22, 1948, and its inhabitants were expelled. Following the war the area was incorporated into the State of Israel. According to the Palestinian historian Walid Khalidi, the remaining structures on the village land were in 1992: "A few walls remain on the slopes of hills, surrounded by shrubs and thorns. Cactuses and gum trees grow on the site. The site is used for animal grazing; it also has a stable for horses. The surrounding lands are used for agriculture. Bedouin still camp near the site occasionally to take advantage of nearby pasture." References Bibliography External links |
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[SOURCE: https://en.wikipedia.org/wiki/Elon_Musk#cite_note-386] | [TOKENS: 10515] |
Contents Elon Musk Elon Reeve Musk (/ˈiːlɒn/ EE-lon; born June 28, 1971) is a businessman and entrepreneur known for his leadership of Tesla, SpaceX, Twitter, and xAI. Musk has been the wealthiest person in the world since 2025; as of February 2026,[update] Forbes estimates his net worth to be around US$852 billion. Born into a wealthy family in Pretoria, South Africa, Musk emigrated in 1989 to Canada; he has Canadian citizenship since his mother was born there. He received bachelor's degrees in 1997 from the University of Pennsylvania before moving to California to pursue business ventures. In 1995, Musk co-founded the software company Zip2. Following its sale in 1999, he co-founded X.com, an online payment company that later merged to form PayPal, which was acquired by eBay in 2002. Musk also became an American citizen in 2002. In 2002, Musk founded the space technology company SpaceX, becoming its CEO and chief engineer; the company has since led innovations in reusable rockets and commercial spaceflight. Musk joined the automaker Tesla as an early investor in 2004 and became its CEO and product architect in 2008; it has since become a leader in electric vehicles. In 2015, he co-founded OpenAI to advance artificial intelligence (AI) research, but later left; growing discontent with the organization's direction and their leadership in the AI boom in the 2020s led him to establish xAI, which became a subsidiary of SpaceX in 2026. In 2022, he acquired the social network Twitter, implementing significant changes, and rebranding it as X in 2023. His other businesses include the neurotechnology company Neuralink, which he co-founded in 2016, and the tunneling company the Boring Company, which he founded in 2017. In November 2025, a Tesla pay package worth $1 trillion for Musk was approved, which he is to receive over 10 years if he meets specific goals. Musk was the largest donor in the 2024 U.S. presidential election, where he supported Donald Trump. After Trump was inaugurated as president in early 2025, Musk served as Senior Advisor to the President and as the de facto head of the Department of Government Efficiency (DOGE). After a public feud with Trump, Musk left the Trump administration and returned to managing his companies. Musk is a supporter of global far-right figures, causes, and political parties. His political activities, views, and statements have made him a polarizing figure. Musk has been criticized for COVID-19 misinformation, promoting conspiracy theories, and affirming antisemitic, racist, and transphobic comments. His acquisition of Twitter was controversial due to a subsequent increase in hate speech and the spread of misinformation on the service, following his pledge to decrease censorship. His role in the second Trump administration attracted public backlash, particularly in response to DOGE. The emails he sent to Jeffrey Epstein are included in the Epstein files, which were published between 2025–26 and became a topic of worldwide debate. Early life Elon Reeve Musk was born on June 28, 1971, in Pretoria, South Africa's administrative capital. He is of British and Pennsylvania Dutch ancestry. His mother, Maye (née Haldeman), is a model and dietitian born in Saskatchewan, Canada, and raised in South Africa. Musk therefore holds both South African and Canadian citizenship from birth. His father, Errol Musk, is a South African electromechanical engineer, pilot, sailor, consultant, emerald dealer, and property developer, who partly owned a rental lodge at Timbavati Private Nature Reserve. His maternal grandfather, Joshua N. Haldeman, who died in a plane crash when Elon was a toddler, was an American-born Canadian chiropractor, aviator and political activist in the technocracy movement who moved to South Africa in 1950. Elon has a younger brother, Kimbal, a younger sister, Tosca, and four paternal half-siblings. Musk was baptized as a child in the Anglican Church of Southern Africa. Despite both Elon and Errol previously stating that Errol was a part owner of a Zambian emerald mine, in 2023, Errol recounted that the deal he made was to receive "a portion of the emeralds produced at three small mines". Errol was elected to the Pretoria City Council as a representative of the anti-apartheid Progressive Party and has said that his children shared their father's dislike of apartheid. After his parents divorced in 1979, Elon, aged around 9, chose to live with his father because Errol Musk had an Encyclopædia Britannica and a computer. Elon later regretted his decision and became estranged from his father. Elon has recounted trips to a wilderness school that he described as a "paramilitary Lord of the Flies" where "bullying was a virtue" and children were encouraged to fight over rations. In one incident, after an altercation with a fellow pupil, Elon was thrown down concrete steps and beaten severely, leading to him being hospitalized for his injuries. Elon described his father berating him after he was discharged from the hospital. Errol denied berating Elon and claimed, "The [other] boy had just lost his father to suicide, and Elon had called him stupid. Elon had a tendency to call people stupid. How could I possibly blame that child?" Elon was an enthusiastic reader of books, and had attributed his success in part to having read The Lord of the Rings, the Foundation series, and The Hitchhiker's Guide to the Galaxy. At age ten, he developed an interest in computing and video games, teaching himself how to program from the VIC-20 user manual. At age twelve, Elon sold his BASIC-based game Blastar to PC and Office Technology magazine for approximately $500 (equivalent to $1,600 in 2025). Musk attended Waterkloof House Preparatory School, Bryanston High School, and then Pretoria Boys High School, where he graduated. Musk was a decent but unexceptional student, earning a 61/100 in Afrikaans and a B on his senior math certification. Musk applied for a Canadian passport through his Canadian-born mother to avoid South Africa's mandatory military service, which would have forced him to participate in the apartheid regime, as well as to ease his path to immigration to the United States. While waiting for his application to be processed, he attended the University of Pretoria for five months. Musk arrived in Canada in June 1989, connected with a second cousin in Saskatchewan, and worked odd jobs, including at a farm and a lumber mill. In 1990, he entered Queen's University in Kingston, Ontario. Two years later, he transferred to the University of Pennsylvania, where he studied until 1995. Although Musk has said that he earned his degrees in 1995, the University of Pennsylvania did not award them until 1997 – a Bachelor of Arts in physics and a Bachelor of Science in economics from the university's Wharton School. He reportedly hosted large, ticketed house parties to help pay for tuition, and wrote a business plan for an electronic book-scanning service similar to Google Books. In 1994, Musk held two internships in Silicon Valley: one at energy storage startup Pinnacle Research Institute, which investigated electrolytic supercapacitors for energy storage, and another at Palo Alto–based startup Rocket Science Games. In 1995, he was accepted to a graduate program in materials science at Stanford University, but did not enroll. Musk decided to join the Internet boom of the 1990s, applying for a job at Netscape, to which he reportedly never received a response. The Washington Post reported that Musk lacked legal authorization to remain and work in the United States after failing to enroll at Stanford. In response, Musk said he was allowed to work at that time and that his student visa transitioned to an H1-B. According to numerous former business associates and shareholders, Musk said he was on a student visa at the time. Business career In 1995, Musk, his brother Kimbal, and Greg Kouri founded the web software company Zip2 with funding from a group of angel investors. They housed the venture at a small rented office in Palo Alto. Replying to Rolling Stone, Musk denounced the notion that they started their company with funds borrowed from Errol Musk, but in a tweet, he recognized that his father contributed 10% of a later funding round. The company developed and marketed an Internet city guide for the newspaper publishing industry, with maps, directions, and yellow pages. According to Musk, "The website was up during the day and I was coding it at night, seven days a week, all the time." To impress investors, Musk built a large plastic structure around a standard computer to create the impression that Zip2 was powered by a small supercomputer. The Musk brothers obtained contracts with The New York Times and the Chicago Tribune, and persuaded the board of directors to abandon plans for a merger with CitySearch. Musk's attempts to become CEO were thwarted by the board. Compaq acquired Zip2 for $307 million in cash in February 1999 (equivalent to $590,000,000 in 2025), and Musk received $22 million (equivalent to $43,000,000 in 2025) for his 7-percent share. In 1999, Musk co-founded X.com, an online financial services and e-mail payment company. The startup was one of the first federally insured online banks, and, in its initial months of operation, over 200,000 customers joined the service. The company's investors regarded Musk as inexperienced and replaced him with Intuit CEO Bill Harris by the end of the year. The following year, X.com merged with online bank Confinity to avoid competition. Founded by Max Levchin and Peter Thiel, Confinity had its own money-transfer service, PayPal, which was more popular than X.com's service. Within the merged company, Musk returned as CEO. Musk's preference for Microsoft software over Unix created a rift in the company and caused Thiel to resign. Due to resulting technological issues and lack of a cohesive business model, the board ousted Musk and replaced him with Thiel in 2000.[b] Under Thiel, the company focused on the PayPal service and was renamed PayPal in 2001. In 2002, PayPal was acquired by eBay for $1.5 billion (equivalent to $2,700,000,000 in 2025) in stock, of which Musk—the largest shareholder with 11.72% of shares—received $175.8 million (equivalent to $320,000,000 in 2025). In 2017, Musk purchased the domain X.com from PayPal for an undisclosed amount, stating that it had sentimental value. In 2001, Musk became involved with the nonprofit Mars Society and discussed funding plans to place a growth-chamber for plants on Mars. Seeking a way to launch the greenhouse payloads into space, Musk made two unsuccessful trips to Moscow to purchase intercontinental ballistic missiles (ICBMs) from Russian companies NPO Lavochkin and Kosmotras. Musk instead decided to start a company to build affordable rockets. With $100 million of his early fortune, (equivalent to $180,000,000 in 2025) Musk founded SpaceX in May 2002 and became the company's CEO and Chief Engineer. SpaceX attempted its first launch of the Falcon 1 rocket in 2006. Although the rocket failed to reach Earth orbit, it was awarded a Commercial Orbital Transportation Services program contract from NASA, then led by Mike Griffin. After two more failed attempts that nearly caused Musk to go bankrupt, SpaceX succeeded in launching the Falcon 1 into orbit in 2008. Later that year, SpaceX received a $1.6 billion NASA contract (equivalent to $2,400,000,000 in 2025) for Falcon 9-launched Dragon spacecraft flights to the International Space Station (ISS), replacing the Space Shuttle after its 2011 retirement. In 2012, the Dragon vehicle docked with the ISS, a first for a commercial spacecraft. Working towards its goal of reusable rockets, in 2015 SpaceX successfully landed the first stage of a Falcon 9 on a land platform. Later landings were achieved on autonomous spaceport drone ships, an ocean-based recovery platform. In 2018, SpaceX launched the Falcon Heavy; the inaugural mission carried Musk's personal Tesla Roadster as a dummy payload. Since 2019, SpaceX has been developing Starship, a reusable, super heavy-lift launch vehicle intended to replace the Falcon 9 and Falcon Heavy. In 2020, SpaceX launched its first crewed flight, the Demo-2, becoming the first private company to place astronauts into orbit and dock a crewed spacecraft with the ISS. In 2024, NASA awarded SpaceX an $843 million (equivalent to $865,000,000 in 2025) contract to build a spacecraft that NASA will use to deorbit the ISS at the end of its lifespan. In 2015, SpaceX began development of the Starlink constellation of low Earth orbit satellites to provide satellite Internet access. After the launch of prototype satellites in 2018, the first large constellation was deployed in May 2019. As of May 2025[update], over 7,600 Starlink satellites are operational, comprising 65% of all operational Earth satellites. The total cost of the decade-long project to design, build, and deploy the constellation was estimated by SpaceX in 2020 to be $10 billion (equivalent to $12,000,000,000 in 2025).[c] During the Russian invasion of Ukraine, Musk provided free Starlink service to Ukraine, permitting Internet access and communication at a yearly cost to SpaceX of $400 million (equivalent to $440,000,000 in 2025). However, Musk refused to block Russian state media on Starlink. In 2023, Musk denied Ukraine's request to activate Starlink over Crimea to aid an attack against the Russian navy, citing fears of a nuclear response. Tesla, Inc., originally Tesla Motors, was incorporated in July 2003 by Martin Eberhard and Marc Tarpenning. Both men played active roles in the company's early development prior to Musk's involvement. Musk led the Series A round of investment in February 2004; he invested $6.35 million (equivalent to $11,000,000 in 2025), became the majority shareholder, and joined Tesla's board of directors as chairman. Musk took an active role within the company and oversaw Roadster product design, but was not deeply involved in day-to-day business operations. Following a series of escalating conflicts in 2007 and the 2008 financial crisis, Eberhard was ousted from the firm.[page needed] Musk assumed leadership of the company as CEO and product architect in 2008. A 2009 lawsuit settlement with Eberhard designated Musk as a Tesla co-founder, along with Tarpenning and two others. Tesla began delivery of the Roadster, an electric sports car, in 2008. With sales of about 2,500 vehicles, it was the first mass production all-electric car to use lithium-ion battery cells. Under Musk, Tesla has since launched several well-selling electric vehicles, including the four-door sedan Model S (2012), the crossover Model X (2015), the mass-market sedan Model 3 (2017), the crossover Model Y (2020), and the pickup truck Cybertruck (2023). In May 2020, Musk resigned as chairman of the board as part of the settlement of a lawsuit from the SEC over him tweeting that funding had been "secured" for potentially taking Tesla private. The company has also constructed multiple lithium-ion battery and electric vehicle factories, called Gigafactories. Since its initial public offering in 2010, Tesla stock has risen significantly; it became the most valuable carmaker in summer 2020, and it entered the S&P 500 later that year. In October 2021, it reached a market capitalization of $1 trillion (equivalent to $1,200,000,000,000 in 2025), the sixth company in U.S. history to do so. Musk provided the initial concept and financial capital for SolarCity, which his cousins Lyndon and Peter Rive founded in 2006. By 2013, SolarCity was the second largest provider of solar power systems in the United States. In 2014, Musk promoted the idea of SolarCity building an advanced production facility in Buffalo, New York, triple the size of the largest solar plant in the United States. Construction of the factory started in 2014 and was completed in 2017. It operated as a joint venture with Panasonic until early 2020. Tesla acquired SolarCity for $2 billion in 2016 (equivalent to $2,700,000,000 in 2025) and merged it with its battery unit to create Tesla Energy. The deal's announcement resulted in a more than 10% drop in Tesla's stock price; at the time, SolarCity was facing liquidity issues. Multiple shareholder groups filed a lawsuit against Musk and Tesla's directors, stating that the purchase of SolarCity was done solely to benefit Musk and came at the expense of Tesla and its shareholders. Tesla directors settled the lawsuit in January 2020, leaving Musk the sole remaining defendant. Two years later, the court ruled in Musk's favor. In 2016, Musk co-founded Neuralink, a neurotechnology startup, with an investment of $100 million. Neuralink aims to integrate the human brain with artificial intelligence (AI) by creating devices that are embedded in the brain. Such technology could enhance memory or allow the devices to communicate with software. The company also hopes to develop devices to treat neurological conditions like spinal cord injuries. In 2022, Neuralink announced that clinical trials would begin by the end of the year. In September 2023, the Food and Drug Administration approved Neuralink to initiate six-year human trials. Neuralink has conducted animal testing on macaques at the University of California, Davis. In 2021, the company released a video in which a macaque played the video game Pong via a Neuralink implant. The company's animal trials—which have caused the deaths of some monkeys—have led to claims of animal cruelty. The Physicians Committee for Responsible Medicine has alleged that Neuralink violated the Animal Welfare Act. Employees have complained that pressure from Musk to accelerate development has led to botched experiments and unnecessary animal deaths. In 2022, a federal probe was launched into possible animal welfare violations by Neuralink.[needs update] In 2017, Musk founded the Boring Company to construct tunnels; he also revealed plans for specialized, underground, high-occupancy vehicles that could travel up to 150 miles per hour (240 km/h) and thus circumvent above-ground traffic in major cities. Early in 2017, the company began discussions with regulatory bodies and initiated construction of a 30-foot (9.1 m) wide, 50-foot (15 m) long, and 15-foot (4.6 m) deep "test trench" on the premises of SpaceX's offices, as that required no permits. The Los Angeles tunnel, less than two miles (3.2 km) in length, debuted to journalists in 2018. It used Tesla Model Xs and was reported to be a rough ride while traveling at suboptimal speeds. Two tunnel projects announced in 2018, in Chicago and West Los Angeles, have been canceled. A tunnel beneath the Las Vegas Convention Center was completed in early 2021. Local officials have approved further expansions of the tunnel system. April 14, 2022 In early 2017, Musk expressed interest in buying Twitter and had questioned the platform's commitment to freedom of speech. By 2022, Musk had reached 9.2% stake in the company, making him the largest shareholder.[d] Musk later agreed to a deal that would appoint him to Twitter's board of directors and prohibit him from acquiring more than 14.9% of the company. Days later, Musk made a $43 billion offer to buy Twitter. By the end of April Musk had successfully concluded his bid for approximately $44 billion. This included approximately $12.5 billion in loans and $21 billion in equity financing. Having backtracked on his initial decision, Musk bought the company on October 27, 2022. Immediately after the acquisition, Musk fired several top Twitter executives including CEO Parag Agrawal; Musk became the CEO instead. Under Elon Musk, Twitter instituted monthly subscriptions for a "blue check", and laid off a significant portion of the company's staff. Musk lessened content moderation and hate speech also increased on the platform after his takeover. In late 2022, Musk released internal documents relating to Twitter's moderation of Hunter Biden's laptop controversy in the lead-up to the 2020 presidential election. Musk also promised to step down as CEO after a Twitter poll, and five months later, Musk stepped down as CEO and transitioned his role to executive chairman and chief technology officer (CTO). Despite Musk stepping down as CEO, X continues to struggle with challenges such as viral misinformation, hate speech, and antisemitism controversies. Musk has been accused of trying to silence some of his critics such as Twitch streamer Asmongold, who criticized him during one of his streams. Musk has been accused of removing their accounts' blue checkmarks, which hinders visibility and is considered a form of shadow banning, or suspending their accounts without justification. Other activities In August 2013, Musk announced plans for a version of a vactrain, and assigned engineers from SpaceX and Tesla to design a transport system between Greater Los Angeles and the San Francisco Bay Area, at an estimated cost of $6 billion. Later that year, Musk unveiled the concept, dubbed the Hyperloop, intended to make travel cheaper than any other mode of transport for such long distances. In December 2015, Musk co-founded OpenAI, a not-for-profit artificial intelligence (AI) research company aiming to develop artificial general intelligence, intended to be safe and beneficial to humanity. Musk pledged $1 billion of funding to the company, and initially gave $50 million. In 2018, Musk left the OpenAI board. Since 2018, OpenAI has made significant advances in machine learning. In July 2023, Musk launched the artificial intelligence company xAI, which aims to develop a generative AI program that competes with existing offerings like OpenAI's ChatGPT. Musk obtained funding from investors in SpaceX and Tesla, and xAI hired engineers from Google and OpenAI. December 16, 2022 Musk uses a private jet owned by Falcon Landing LLC, a SpaceX-linked company, and acquired a second jet in August 2020. His heavy use of the jets and the consequent fossil fuel usage have received criticism. Musk's flight usage is tracked on social media through ElonJet. In December 2022, Musk banned the ElonJet account on Twitter, and made temporary bans on the accounts of journalists that posted stories regarding the incident, including Donie O'Sullivan, Keith Olbermann, and journalists from The New York Times, The Washington Post, CNN, and The Intercept. In October 2025, Musk's company xAI launched Grokipedia, an AI-generated online encyclopedia that he promoted as an alternative to Wikipedia. Articles on Grokipedia are generated and reviewed by xAI's Grok chatbot. Media coverage and academic analysis described Grokipedia as frequently reusing Wikipedia content but framing contested political and social topics in line with Musk's own views and right-wing narratives. A study by Cornell University researchers and NBC News stated that Grokipedia cites sources that are blacklisted or considered "generally unreliable" on Wikipedia, for example, the conspiracy site Infowars and the neo-Nazi forum Stormfront. Wired, The Guardian and Time criticized Grokipedia for factual errors and for presenting Musk himself in unusually positive terms while downplaying controversies. Politics Musk is an outlier among business leaders who typically avoid partisan political advocacy. Musk was a registered independent voter when he lived in California. Historically, he has donated to both Democrats and Republicans, many of whom serve in states in which he has a vested interest. Since 2022, his political contributions have mostly supported Republicans, with his first vote for a Republican going to Mayra Flores in the 2022 Texas's 34th congressional district special election. In 2024, he started supporting international far-right political parties, activists, and causes, and has shared misinformation and numerous conspiracy theories. Since 2024, his views have been generally described as right-wing. Musk supported Barack Obama in 2008 and 2012, Hillary Clinton in 2016, Joe Biden in 2020, and Donald Trump in 2024. In the 2020 Democratic Party presidential primaries, Musk endorsed candidate Andrew Yang and expressed support for Yang's proposed universal basic income, and endorsed Kanye West's 2020 presidential campaign. In 2021, Musk publicly expressed opposition to the Build Back Better Act, a $3.5 trillion legislative package endorsed by Joe Biden that ultimately failed to pass due to unanimous opposition from congressional Republicans and several Democrats. In 2022, gave over $50 million to Citizens for Sanity, a conservative political action committee. In 2023, he supported Republican Ron DeSantis for the 2024 U.S. presidential election, giving $10 million to his campaign, and hosted DeSantis's campaign announcement on a Twitter Spaces event. From June 2023 to January 2024, Musk hosted a bipartisan set of X Spaces with Republican and Democratic candidates, including Robert F. Kennedy Jr., Vivek Ramaswamy, and Dean Phillips. In October 2025, former vice-president Kamala Harris commented that it was a mistake from the Democratic side to not invite Musk to a White House electric vehicle event organized in August 2021 and featuring executives from General Motors, Ford and Stellantis, despite Tesla being "the major American manufacturer of extraordinary innovation in this space." Fortune remarked that this was a nod to United Auto Workers and organized labor. Harris said presidents should put aside political loyalties when it came to recognizing innovation, and guessed that the non-invitation impacted Musk's perspective. Fortune noted that, at the time, Musk said, "Yeah, seems odd that Tesla wasn't invited." A month later, he criticized Biden as "not the friendliest administration." Jacob Silverman, author of the book Gilded Rage: Elon Musk and the Radicalization of Silicon Valley, said that the tech industry represented by Musk, Thiel, Andreessen and other capitalists, actually flourished under Biden, but the tech leaders chose Trump for their common ground on cultural issues. By early 2024, Musk had become a vocal and financial supporter of Donald Trump. In July 2024, minutes after the attempted assassination of Donald Trump, Musk endorsed him for president saying; "I fully endorse President Trump and hope for his rapid recovery." During the presidential campaign, Musk joined Trump on stage at a campaign rally, and during the campaign promoted conspiracy theories and falsehoods about Democrats, election fraud and immigration, in support of Trump. Musk was the largest individual donor of the 2024 election. In 2025, Musk contributed $19 million to the Wisconsin Supreme Court race, hoping to influence the state's future redistricting efforts and its regulations governing car manufacturers and dealers. In 2023, Musk said he shunned the World Economic Forum because it was boring. The organization commented that they had not invited him since 2015. He has participated in Dialog, dubbed "Tech Bilderberg" and organized by Peter Thiel and Auren Hoffman, though. Musk's international political actions and comments have come under increasing scrutiny and criticism, especially from the governments and leaders of France, Germany, Norway, Spain and the United Kingdom, particularly due to his position in the U.S. government as well as ownership of X. An NBC News analysis found he had boosted far-right political movements to cut immigration and curtail regulation of business in at least 18 countries on six continents since 2023. During his speech after the second inauguration of Donald Trump, Musk twice made a gesture interpreted by many as a Nazi or a fascist Roman salute.[e] He thumped his right hand over his heart, fingers spread wide, and then extended his right arm out, emphatically, at an upward angle, palm down and fingers together. He then repeated the gesture to the crowd behind him. As he finished the gestures, he said to the crowd, "My heart goes out to you. It is thanks to you that the future of civilization is assured." It was widely condemned as an intentional Nazi salute in Germany, where making such gestures is illegal. The Anti-Defamation League said it was not a Nazi salute, but other Jewish organizations disagreed and condemned the salute. American public opinion was divided on partisan lines as to whether it was a fascist salute. Musk dismissed the accusations of Nazi sympathies, deriding them as "dirty tricks" and a "tired" attack. Neo-Nazi and white supremacist groups celebrated it as a Nazi salute. Multiple European political parties demanded that Musk be banned from entering their countries. The concept of DOGE emerged in a discussion between Musk and Donald Trump, and in August 2024, Trump committed to giving Musk an advisory role, with Musk accepting the offer. In November and December 2024, Musk suggested that the organization could help to cut the U.S. federal budget, consolidate the number of federal agencies, and eliminate the Consumer Financial Protection Bureau, and that its final stage would be "deleting itself". In January 2025, the organization was created by executive order, and Musk was designated a "special government employee". Musk led the organization and was a senior advisor to the president, although his official role is not clear. In sworn statement during a lawsuit, the director of the White House Office of Administration stated that Musk "is not an employee of the U.S. DOGE Service or U.S. DOGE Service Temporary Organization", "is not the U.S. DOGE Service administrator", and has "no actual or formal authority to make government decisions himself". Trump said two days later that he had put Musk in charge of DOGE. A federal judge has ruled that Musk acted as the de facto leader of DOGE. Musk's role in the second Trump administration, particularly in response to DOGE, has attracted public backlash. He was criticized for his treatment of federal government employees, including his influence over the mass layoffs of the federal workforce. He has prioritized secrecy within the organization and has accused others of violating privacy laws. A Senate report alleged that Musk could avoid up to $2 billion in legal liability as a result of DOGE's actions. In May 2025, Bill Gates accused Musk of "killing the world's poorest children" through his cuts to USAID, which modeling by Boston University estimated had resulted in 300,000 deaths by this time, most of them of children. By November 2025, the estimated death toll had increased to 400,000 children and 200,000 adults. Musk announced on May 28, 2025, that he would depart from the Trump administration as planned when the special government employee's 130 day deadline expired, with a White House official confirming that Musk's offboarding from the Trump administration was already underway. His departure was officially confirmed during a joint Oval Office press conference with Trump on May 30, 2025. @realDonaldTrump is in the Epstein files. That is the real reason they have not been made public. June 5, 2025 After leaving office, Musk criticized the Trump administration's Big Beautiful Bill, calling it a "disgusting abomination" due to its provisions increasing the deficit. A feud began between Musk and Trump, with its most notable event being Musk alleging Trump had ties to sex offender Jeffrey Epstein on X (formerly Twitter) on June 5, 2025. Trump responded on Truth Social stating that Musk went "CRAZY" after the "EV Mandate" was purportedly taken away and threatened to cut Musk's government contracts. Musk then called for a third Trump impeachment. The next day, Trump stated that he did not wish to reconcile with Musk, and added that Musk would face "very serious consequences" if he funds Democratic candidates. On June 11, Musk publicly apologized for the tweets against Trump, saying they "went too far". Views November 6, 2022 Rejecting the conservative label, Musk has described himself as a political moderate, even as his views have become more right-wing over time. His views have been characterized as libertarian and far-right, and after his involvement in European politics, they have received criticism from world leaders such as Emmanuel Macron and Olaf Scholz. Within the context of American politics, Musk supported Democratic candidates up until 2022, at which point he voted for a Republican for the first time. He has stated support for universal basic income, gun rights, freedom of speech, a tax on carbon emissions, and H-1B visas. Musk has expressed concern about issues such as artificial intelligence (AI) and climate change, and has been a critic of wealth tax, short-selling, and government subsidies. An immigrant himself, Musk has been accused of being anti-immigration, and regularly blames immigration policies for illegal immigration. He is also a pronatalist who believes population decline is the biggest threat to civilization, and identifies as a cultural Christian. Musk has long been an advocate for space colonization, especially the colonization of Mars. He has repeatedly pushed for humanity colonizing Mars, in order to become an interplanetary species and lower the risks of human extinction. Musk has promoted conspiracy theories and made controversial statements that have led to accusations of racism, sexism, antisemitism, transphobia, disseminating disinformation, and support of white pride. While describing himself as a "pro-Semite", his comments regarding George Soros and Jewish communities have been condemned by the Anti-Defamation League and the Biden White House. Musk was criticized during the COVID-19 pandemic for making unfounded epidemiological claims, defying COVID-19 lockdowns restrictions, and supporting the Canada convoy protest against vaccine mandates. He has amplified false claims of white genocide in South Africa. Musk has been critical of Israel's actions in the Gaza Strip during the Gaza war, praised China's economic and climate goals, suggested that Taiwan and China should resolve cross-strait relations, and was described as having a close relationship with the Chinese government. In Europe, Musk expressed support for Ukraine in 2022 during the Russian invasion, recommended referendums and peace deals on the annexed Russia-occupied territories, and supported the far-right Alternative for Germany political party in 2024. Regarding British politics, Musk blamed the 2024 UK riots on mass migration and open borders, criticized Prime Minister Keir Starmer for what he described as a "two-tier" policing system, and was subsequently attacked as being responsible for spreading misinformation and amplifying the far-right. He has also voiced his support for far-right activist Tommy Robinson and pledged electoral support for Reform UK. In February 2026, Musk described Spanish Prime Minister Pedro Sánchez as a "tyrant" following Sánchez's proposal to prohibit minors under the age of 16 from accessing social media platforms. Legal affairs In 2018, Musk was sued by the U.S. Securities and Exchange Commission (SEC) for a tweet stating that funding had been secured for potentially taking Tesla private.[f] The securities fraud lawsuit characterized the tweet as false, misleading, and damaging to investors, and sought to bar Musk from serving as CEO of publicly traded companies. Two days later, Musk settled with the SEC, without admitting or denying the SEC's allegations. As a result, Musk and Tesla were fined $20 million each, and Musk was forced to step down for three years as Tesla chairman but was able to remain as CEO. Shareholders filed a lawsuit over the tweet, and in February 2023, a jury found Musk and Tesla not liable. Musk has stated in interviews that he does not regret posting the tweet that triggered the SEC investigation. In 2019, Musk stated in a tweet that Tesla would build half a million cars that year. The SEC reacted by asking a court to hold him in contempt for violating the terms of the 2018 settlement agreement. A joint agreement between Musk and the SEC eventually clarified the previous agreement details, including a list of topics about which Musk needed preclearance. In 2020, a judge blocked a lawsuit that claimed a tweet by Musk regarding Tesla stock price ("too high imo") violated the agreement. Freedom of Information Act (FOIA)-released records showed that the SEC concluded Musk had subsequently violated the agreement twice by tweeting regarding "Tesla's solar roof production volumes and its stock price". In October 2023, the SEC sued Musk over his refusal to testify a third time in an investigation into whether he violated federal law by purchasing Twitter stock in 2022. In February 2024, Judge Laurel Beeler ruled that Musk must testify again. In January 2025, the SEC filed a lawsuit against Musk for securities violations related to his purchase of Twitter. In January 2024, Delaware judge Kathaleen McCormick ruled in a 2018 lawsuit that Musk's $55 billion pay package from Tesla be rescinded. McCormick called the compensation granted by the company's board "an unfathomable sum" that was unfair to shareholders. The Delaware Supreme Court overturned McCormick's decision in December 2025, restoring Musk's compensation package and awarding $1 in nominal damages. Personal life Musk became a U.S. citizen in 2002. From the early 2000s until late 2020, Musk resided in California, where both Tesla and SpaceX were founded. He then relocated to Cameron County, Texas, saying that California had become "complacent" about its economic success. While hosting Saturday Night Live in 2021, Musk stated that he has Asperger syndrome (an outdated term for autism spectrum disorder). When asked about his experience growing up with Asperger's syndrome in a TED2022 conference in Vancouver, Musk stated that "the social cues were not intuitive ... I would just tend to take things very literally ... but then that turned out to be wrong — [people were not] simply saying exactly what they mean, there's all sorts of other things that are meant, and [it] took me a while to figure that out." Musk suffers from back pain and has undergone several spine-related surgeries, including a disc replacement. In 2000, he contracted a severe case of malaria while on vacation in South Africa. Musk has stated he uses doctor-prescribed ketamine for occasional depression and that he doses "a small amount once every other week or something like that"; since January 2024, some media outlets have reported that he takes ketamine, marijuana, LSD, ecstasy, mushrooms, cocaine and other drugs. Musk at first refused to comment on his alleged drug use, before responding that he had not tested positive for drugs, and that if drugs somehow improved his productivity, "I would definitely take them!". The New York Times' investigations revealed Musk's overuse of ketamine and numerous other drugs, as well as strained family relationships and concerns from close associates who have become troubled by his public behavior as he became more involved in political activities and government work. According to The Washington Post, President Trump described Musk as "a big-time drug addict". Through his own label Emo G Records, Musk released a rap track, "RIP Harambe", on SoundCloud in March 2019. The following year, he released an EDM track, "Don't Doubt Ur Vibe", featuring his own lyrics and vocals. Musk plays video games, which he stated has a "'restoring effect' that helps his 'mental calibration'". Some games he plays include Quake, Diablo IV, Elden Ring, and Polytopia. Musk once claimed to be one of the world's top video game players but has since admitted to "account boosting", or cheating by hiring outside services to achieve top player rankings. Musk has justified the boosting by claiming that all top accounts do it so he has to as well to remain competitive. In 2024 and 2025, Musk criticized the video game Assassin's Creed Shadows and its creator Ubisoft for "woke" content. Musk posted to X that "DEI kills art" and specified the inclusion of the historical figure Yasuke in the Assassin's Creed game as offensive; he also called the game "terrible". Ubisoft responded by saying that Musk's comments were "just feeding hatred" and that they were focused on producing a game not pushing politics. Musk has fathered at least 14 children, one of whom died as an infant. The Wall Street Journal reported in 2025 that sources close to Musk suggest that the "true number of Musk's children is much higher than publicly known". He had six children with his first wife, Canadian author Justine Wilson, whom he met while attending Queen's University in Ontario, Canada; they married in 2000. In 2002, their first child Nevada Musk died of sudden infant death syndrome at the age of 10 weeks. After his death, the couple used in vitro fertilization (IVF) to continue their family; they had twins in 2004, followed by triplets in 2006. The couple divorced in 2008 and have shared custody of their children. The elder twin he had with Wilson came out as a trans woman and, in 2022, officially changed her name to Vivian Jenna Wilson, adopting her mother's surname because she no longer wished to be associated with Musk. Musk began dating English actress Talulah Riley in 2008. They married two years later at Dornoch Cathedral in Scotland. In 2012, the couple divorced, then remarried the following year. After briefly filing for divorce in 2014, Musk finalized a second divorce from Riley in 2016. Musk then dated the American actress Amber Heard for several months in 2017; he had reportedly been "pursuing" her since 2012. In 2018, Musk and Canadian musician Grimes confirmed they were dating. Grimes and Musk have three children, born in 2020, 2021, and 2022.[g] Musk and Grimes originally gave their eldest child the name "X Æ A-12", which would have violated California regulations as it contained characters that are not in the modern English alphabet; the names registered on the birth certificate are "X" as a first name, "Æ A-Xii" as a middle name, and "Musk" as a last name. They received criticism for choosing a name perceived to be impractical and difficult to pronounce; Musk has said the intended pronunciation is "X Ash A Twelve". Their second child was born via surrogacy. Despite the pregnancy, Musk confirmed reports that the couple were "semi-separated" in September 2021; in an interview with Time in December 2021, he said he was single. In October 2023, Grimes sued Musk over parental rights and custody of X Æ A-Xii. Elon Musk has taken X Æ A-Xii to multiple official events in Washington, D.C. during Trump's second term in office. Also in July 2022, The Wall Street Journal reported that Musk allegedly had an affair with Nicole Shanahan, the wife of Google co-founder Sergey Brin, in 2021, leading to their divorce the following year. Musk denied the report. Musk also had a relationship with Australian actress Natasha Bassett, who has been described as "an occasional girlfriend". In October 2024, The New York Times reported Musk bought a Texas compound for his children and their mothers, though Musk denied having done so. Musk also has four children with Shivon Zilis, director of operations and special projects at Neuralink: twins born via IVF in 2021, a child born in 2024 via surrogacy and a child born in 2025.[h] On February 14, 2025, Ashley St. Clair, an influencer and author, posted on X claiming to have given birth to Musk's son Romulus five months earlier, which media outlets reported as Musk's supposed thirteenth child.[i] On February 22, 2025, it was reported that St Clair had filed for sole custody of her five-month-old son and for Musk to be recognised as the child's father. On March 31, 2025, Musk wrote that, while he was unsure if he was the father of St. Clair's child, he had paid St. Clair $2.5 million and would continue paying her $500,000 per year.[j] Later reporting from the Wall Street Journal indicated that $1 million of these payments to St. Clair were structured as a loan. In 2014, Musk and Ghislaine Maxwell appeared together in a photograph taken at an Academy Awards after-party, which Musk later described as a "photobomb". The January 2026 Epstein files contain emails between Musk and Epstein from 2012 to 2013, after Epstein's first conviction. Emails released on January 30, 2026, indicated that Epstein invited Musk to visit his private island on multiple occasions. The correspondence showed that while Epstein repeatedly encouraged Musk to attend, Musk did not visit the island. In one instance, Musk discussed the possibility of attending a party with his then-wife Talulah Riley and asked which day would be the "wildest party"; according to the emails, the visit did not take place after Epstein later cancelled the plans.[k] On Christmas day in 2012, Musk emailed Epstein asking "Do you have any parties planned? I’ve been working to the edge of sanity this year and so, once my kids head home after Christmas, I really want to hit the party scene in St Barts or elsewhere and let loose. The invitation is much appreciated, but a peaceful island experience is the opposite of what I’m looking for". Epstein replied that the "ratio on my island" might make Musk's wife uncomfortable to which Musk responded, "Ratio is not a problem for Talulah". On September 11, 2013, Epstein sent an email asking Musk if he had any plans for coming to New York for the opening of the United Nations General Assembly where many "interesting people" would be coming to his house to which Musk responded that "Flying to NY to see UN diplomats do nothing would be an unwise use of time". Epstein responded by stating "Do you think i am retarded. Just kidding, there is no one over 25 and all very cute." Musk has denied any close relationship with Epstein and described him as a "creep" who attempted to ingratiate himself with influential people. When Musk was asked in 2019 if he introduced Epstein to Mark Zuckerberg, Musk responded: "I don’t recall introducing Epstein to anyone, as I don’t know the guy well enough to do so." The released emails nonetheless showed cordial exchanges on a range of topics, including Musk's inquiry about parties on the island. The correspondence also indicated that Musk suggested hosting Epstein at SpaceX, while Epstein separately discussed plans to tour SpaceX and bring "the girls", though there is no evidence that such a visit occurred. Musk has described the release of the files a "distraction", later accusing the second Trump administration of suppressing them to protect powerful individuals, including Trump himself.[l] Wealth Elon Musk is the wealthiest person in the world, with an estimated net worth of US$690 billion as of January 2026, according to the Bloomberg Billionaires Index, and $852 billion according to Forbes, primarily from his ownership stakes in SpaceX and Tesla. Having been first listed on the Forbes Billionaires List in 2012, around 75% of Musk's wealth was derived from Tesla stock in November 2020, although he describes himself as "cash poor". According to Forbes, he became the first person in the world to achieve a net worth of $300 billion in 2021; $400 billion in December 2024; $500 billion in October 2025; $600 billion in mid-December 2025; $700 billion later that month; and $800 billion in February 2026. In November 2025, a Tesla pay package worth potentially $1 trillion for Musk was approved, which he is to receive over 10 years if he meets specific goals. Public image Although his ventures have been highly influential within their separate industries starting in the 2000s, Musk only became a public figure in the early 2010s. He has been described as an eccentric who makes spontaneous and impactful decisions, while also often making controversial statements, contrary to other billionaires who prefer reclusiveness to protect their businesses. Musk's actions and his expressed views have made him a polarizing figure. Biographer Ashlee Vance described people's opinions of Musk as polarized due to his "part philosopher, part troll" persona on Twitter. He has drawn denouncement for using his platform to mock the self-selection of personal pronouns, while also receiving praise for bringing international attention to matters like British survivors of grooming gangs. Musk has been described as an American oligarch due to his extensive influence over public discourse, social media, industry, politics, and government policy. After Trump's re-election, Musk's influence and actions during the transition period and the second presidency of Donald Trump led some to call him "President Musk", the "actual president-elect", "shadow president" or "co-president". Awards for his contributions to the development of the Falcon rockets include the American Institute of Aeronautics and Astronautics George Low Transportation Award in 2008, the Fédération Aéronautique Internationale Gold Space Medal in 2010, and the Royal Aeronautical Society Gold Medal in 2012. In 2015, he received an honorary doctorate in engineering and technology from Yale University and an Institute of Electrical and Electronics Engineers Honorary Membership. Musk was elected a Fellow of the Royal Society (FRS) in 2018.[m] In 2022, Musk was elected to the National Academy of Engineering. Time has listed Musk as one of the most influential people in the world in 2010, 2013, 2018, and 2021. Musk was selected as Time's "Person of the Year" for 2021. Then Time editor-in-chief Edward Felsenthal wrote that, "Person of the Year is a marker of influence, and few individuals have had more influence than Musk on life on Earth, and potentially life off Earth too." Notes References Works cited Further reading External links |
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Contents Thirty-seventh government of Israel The thirty-seventh government of Israel is the current cabinet of Israel, formed on 29 December 2022, following the Knesset election the previous month. The coalition government currently consists of five parties — Likud, Shas, Otzma Yehudit, Religious Zionist Party and New Hope — and is led by Benjamin Netanyahu, who took office as the prime minister of Israel for the sixth time. The government is widely regarded as the most right-wing government in the country's history, and includes far-right politicians. Several of the government's policy proposals have led to controversies, both within Israel and abroad, with the government's attempts at reforming the judiciary leading to a wave of demonstrations across the country. Following the outbreak of the Gaza war, opposition leader Yair Lapid initiated discussions with Netanyahu on the formation of an emergency government. On 11 October 2023, National Unity MKs Benny Gantz, Gadi Eisenkot, Gideon Sa'ar, Hili Tropper, and Yifat Shasha-Biton joined the Security Cabinet of Israel to form an emergency national unity government. Their accession to the Security Cabinet and to the government (as ministers without portfolio) was approved by the Knesset the following day. Gantz, Netanyahu, and Defense Minister Yoav Gallant became part of the newly formed Israeli war cabinet, with Eisenkot and Ron Dermer serving as observers. National Unity left the government in June 2024. New Hope rejoined the government in September. Otzma Yehudit announced on 19 January 2025 that it had withdrawn from the government, which took effect on 21 January, following the cabinet's acceptance of the three-phase Gaza war ceasefire proposal, though it rejoined two months later. United Torah Judaism left the government in July 2025 over dissatisfaction with the government's draft conscription law. Shas left the government several days later, though it remains part of the coalition. Background The right-wing bloc of parties, led by Benjamin Netanyahu, known in Israel as the national camp, won 64 of the 120 seats in the elections for the Knesset, while the coalition led by the incumbent prime minister Yair Lapid won 51 seats. The new majority has been variously described as the most right-wing government in Israeli history, as well as Israel's most religious government. Shortly after the elections, Lapid conceded to Netanyahu, and congratulated him, wishing him luck "for the sake of the Israeli people". On 15 November, the swearing-in ceremony for the newly elected members of the 25th Knesset was held during the opening session. The vote to appoint a new Speaker of the Knesset, which is usually conducted at the opening session, as well as the swearing in of cabinet members were postponed since ongoing coalition negotiations had not yet resulted in agreement on these positions. Government formation Yair Lapid Yesh Atid Benjamin Netanyahu Likud On 3 November 2022, Netanyahu told his aide Yariv Levin to begin informal coalition talks with allied parties, after 97% of the vote was counted. The leader of the Shas party Aryeh Deri met with Yitzhak Goldknopf, the leader of United Torah Judaism and its Agudat Yisrael faction, on 4 November. The two parties agreed to cooperate as members of the next government. The Degel HaTorah faction of United Torah Judaism stated on 5 November that it will maintain its ideological stance about not seeking any ministerial posts, as per the instruction of its spiritual leader Rabbi Gershon Edelstein, but will seek other senior posts like Knesset committee chairmen and deputy ministers. Netanyahu himself started holding talks on 6 November. He first met with Moshe Gafni, the leader of Degel HaTorah, and then with Goldknopf. Meanwhile, the Religious Zionist Party leader Bezalel Smotrich and the leader of its Otzma Yehudit faction Itamar Ben-Gvir pledged that they would not enter the coalition without the other faction. Gafni later met with Smotrich for coalition talks. Smotrich then met with Netanyahu. On 7 November, Netanyahu met with Ben-Gvir who demanded the Ministry of Public Security with expanded powers for himself and the Ministry of Education or Transport and Road Safety for Yitzhak Wasserlauf. A major demand among all of Netanyahu's allies was that the Knesset be allowed to ignore the rulings of the Supreme Court. Netanyahu met with the Noam faction leader and its sole MK Avi Maoz on 8 November after he threatened to boycott the coalition. He demanded complete control of the Western Wall by the Haredi rabbinate and removal of what he considered as anti-Zionist and anti-Jewish content in schoolbooks. President Isaac Herzog began consultations with heads of all the political parties on 9 November after the election results were certified. During the consultations, he expressed his reservations about Ben-Gvir becoming a member in the next government. Shas met with Likud for coalition talks on 10 November. By 11 November, Netanyahu had secured recommendations from 64 MKs, which constituted a majority. He was given the mandate to form the thirty-seventh government of Israel by President Herzog on 13 November. Otzma Yehudit and Noam officially split from Religious Zionism on 20 November as per a pre-election agreement. On 25 November, Otzma Yehudit and Likud signed a coalition agreement, under which Ben-Gvir will assume the newly created position of National Security Minister, whose powers would be more expansive than that of the Minister of Public Security, including overseeing the Israel Police and the Israel Border Police in the West Bank, as well as giving powers to authorities to shoot thieves stealing from military bases. Yitzhak Wasserlauf was given the Ministry for the Development of the Negev and the Galilee with expanded powers to regulate new West Bank settlements, while separating it from the "Periphery" portfolio, which will be given to Shas. The deal also includes giving the Ministry of Heritage to Amihai Eliyahu, separating it from the "Jerusalem Affairs" portfolio, the chairmanship of the Knesset's Public Security Committee to Zvika Fogel and that of the Special Committee for the Israeli Citizens' Fund to Limor Son Har-Melech, the post of Deputy Economic Minister to Almog Cohen, establishment of a national guard, and expansion of mobilization of reservists in the Border Police. Netanyahu and Maoz signed a coalition agreement on 27 November, under which the latter would become a deputy minister, would head an agency on Jewish identity in the Prime Minister's Office, and would also head Nativ, which processes the aliyah from the former Soviet Union. The agency for Jewish identity would have authority over educational content taught outside the regular curriculum in schools, in addition to the department of the Ministry of Education overseeing external teaching and partnerships, which would bring nonofficial organisations permitted to teach and lecture at schools under its purview. Likud signed a coalition agreement with the Religious Zionist Party on 1 December. Under the deal, Smotrich would serve as the Minister of Finance in rotation with Aryeh Deri, and the party will receive the post of a minister within the Ministry of Defense with control over the departments administering settlement and open lands under the Coordinator of Government Activities in the Territories, in addition to another post of a deputy minister. The deal also includes giving the post of Minister of Aliyah and Integration to Ofir Sofer, the newly created National Missions Ministry to Orit Strook, and the chairmanship of the Knesset's Constitution, Law and Justice Committee to Simcha Rothman. Likud and United Torah Judaism signed a coalition agreement on 6 December, to allow request for an extension to the deadline. Under it, the party would receive the Ministry of Construction and Housing, the chairmanship of the Knesset Finance Committee which will be given to Moshe Gafni, the Ministry of Jerusalem and Tradition (which would replace the Ministry of Jerusalem Affairs and Heritage), in addition to several posts of deputy ministers and chairmanships of Knesset committees. Likud also signed a deal with Shas by 8 December, securing interim coalition agreements with all of their allies. Under the deal, Deri will first serve as the Minister of Interior and Health, before rotating posts with Smotrich after two years. The party will also receive the Ministry of Religious Services and Welfare Ministries, as well as posts of deputy ministers in the Ministry of Education and Interior. The vote to replace then-incumbent Knesset speaker Mickey Levy was scheduled for 13 December, after Likud and its allies secured the necessary number of signatures for it. Yariv Levin of Likud was elected as an interim speaker by 64 votes, while his opponents Merav Ben-Ari of Yesh Atid and Ayman Odeh of Hadash received 45 and five votes respectively. Netanyahu asked Herzog for a 14-day extension after the agreement with Shas to finalise the roles his allied parties would play. Herzog on 9 December extended the deadline to 21 December. On that date, Netanyahu informed Herzog that he had succeeded in forming a coalition, with the new government expected to be sworn in by 2 January 2023. The government was sworn in on 29 December 2022. Timeline Israeli law stated that people convicted of crimes cannot serve in the government. An amendment to that law was made in late 2022, known colloquially as the Deri Law, to allow those who had been convicted without prison time to serve. This allowed Deri to be appointed to the cabinet. Shas leader Aryeh Deri was appointed to be Minister of Health, Minister of the Interior, and Vice Prime Minister in December 2022. He was fired in January 2023, following a Supreme Court decision that his appointment was unreasonable, since he had been convicted of fraud, and had promised not to seek government roles through a plea deal. In March 2023, Defence Minister Yoav Gallant called on the government to delay legislation related to the judicial reform. Prime Minister Netanyahu announced that he had been dismissed from his position, leading to the continuation of mass protests across the country (which had started in January in Tel Aviv). Gallant continued to serve as a minister as he had not received formal notice of dismissal, and two weeks later it was announced that Netanyahu had reversed his decision. Public Safety Minister Itamar Ben-Gvir (Otzma Yehudit leader) and Minister of Justice Yariv Levin (Likud) both threatened to resign if the judicial reform was delayed.[better source needed] After the outbreak of the Gaza war, five members of the National Unity party joined the government as ministers without portfolio, with leader Benny Gantz being made a member of the new Israeli war cabinet (along with Netanyahu and Gallant). As the war progressed, minister of national security Itamar Ben-Gvir threatened to leave the government if the war was ended. A month later in mid December, he again threatened to leave if the war did not maintain "full strength". Gideon Sa'ar stated on 16 March that his New Hope party would resign from the government and join the opposition if Prime Minister Benjamin Netanyahu did not appoint him to the Israeli war cabinet. Netanyahu did not do so, resulting in Sa'ar's New Hope party leaving the government nine days later, reducing the size of the coalition from 76 MKs to 72. Ben-Gvir and Bezalel Smotrich, of the National Religious Party–Religious Zionism party, have indicated that they will withdraw their parties from the government if the January 2025 Gaza war ceasefire is adopted, which would bring down the government. Ben-Gvir announced on 5 June that the members of his party would be allowed to vote as they wish, though his party resumed support on 9 June. On 18 May, Gantz set an 8 June deadline for withdrawal from the coalition, which was delayed by a day following the 2024 Nuseirat rescue operation. Gantz and his party left the government on 9 June, giving the government 64 seats in the Knesset. Sa'ar and his New Hope party rejoined the Netanyahu government on 30 September, increasing the number of seats held by the government to 68. The High Court of Justice ruled on 28 March 2024 that yeshiva funds would no longer be available for students who are "eligible for enlistment", effectively allowing ultra-Orthodox Jews to be drafted into the IDF. Attorney general Gali Baharav-Miara indicated on 31 March that the conscription process must begin on 1 April. The court ruled on 25 June that the IDF must begin to draft yeshiva students. Likud announced on 7 July that it would not put forward any legislation after Shas and United Torah Judaism said that they would boycott the plenary session over the lack of legislation dealing with the Haredi draft. The Ultra-Orthodox boycott continued for a second day, with UTJ briefly ending its boycott on 9 July to unsuccessfully vote in favor of a bill which would have weakened the Law of Return. Yuli Edelstein, who was replaced by Boaz Bismuth on the Foreign Affairs and Defense Committee in early August, published a draft version of the conscription law shortly before his ouster. Bismuth cancelled the work on the draft law in September 2025, which Edelstein called "a shame." Bismuth released the official version of the draft law in late November 2025. It weakened penalties for draft evaders, with Edelstein saying it was "the exact opposite" of the bill which he attempted to pass. Members of Otzma Yehudit resigned from the government on 19 January 2025 over the January 2025 Gaza war ceasefire, which took effect on 21 January. The members rejoined in March, following the "resumption" of the war in Gaza. Avi Maoz of the Noam party left the government in March 2025. On 4 June 2025, senior rabbis for United Torah Judaism Dov Lando and Moshe Hillel Hirsch instructed the party's MKs to pass a bill which would dissolve the Knesset. Yesh Atid, Yisrael Beytenu and The Democrats announced that they will "submit a bill" for dissolution on 11 June, with Yesh Atid tabling the bill on 4 June. There were also reports that Shas would vote in favor of Knesset dissolution amidst division within the governing coalition on Haredi conscription. This jeopardized the coalition's majority and would have triggered new elections if the bill passed. The following day, Agudat Yisrael, one of the United Torah Judaism factions, confirmed that it would submit a bill to dissolve the Knesset. Asher Medina, a Shas spokesman, indicated on 9 June that the party would vote in favor of a preliminary bill to dissolve the Knesset. The rabbis of Degel HaTorah instructed the parties' MKs on 12 June 2025 to oppose the dissolution of the Knesset, which was followed by Yuli Edelstein and the Shas and Degel HaTorah parties announcing that a deal had been reached, with "rabbinical leaders" telling their parties to delay the dissolution vote by a week. Shas and Degel HaTorah voted against the dissolution bill, which led to the bill failing its preliminary reading in a vote of 61 against and 53 in favor. MKs Ya'akov Tessler and Moshe Roth of Agudat Yisrael voted in favor of dissolution. Another dissolution bill will be unable to be brought forward for six months. If the bill had passed its preliminary reading, in addition to three more readings, an election would have been held in approximately three months; The Jerusalem Post posited it would have been held in October. Degel HaTorah announced on 14 July 2025 that it would leave the government because members of the party were dissatisfied after viewing the proposed draft bill by Yuli Edelstein regarding Haredi exemptions from the Israeli draft. Several hours later, Agudat Yisrael announced that it would also leave the government. Deputy Transportation Minister Uri Maklev, Moshe Gafni, the head of the Knesset Finance Committee, Ya'akov Asher, the head of the Knesset Interior and Environment Protection Committee and Jerusalem Affairs minister Meir Porush all submitted their resignations, with their resignations taking effect in 48 hours. Sports Minister Ya'akov Tessler and "Special Committee for Public Petitions Chair" Yitzhak Pindrus also submitted resignations. Yisrael Eichler submitted his resignation as the "head of the Knesset Labor and Welfare Committee" the same day. The resignations will leave Netanyahu's government with a 60-seat majority in the Knesset, as Avi Maoz, of the Noam party, left the government in March 2025. Despite Edelstein's ouster in August, a spokesman for UTJ head Yitzhak Goldknopf remarked that it would not change the faction's withdrawal from the government. The religious council for Shas, called the Moetzet Chachmei HaTorah, instructed the party on 16 July to leave the government, but stay in the coalition. The following day, various cabinet ministers submitted their resignations, including "Interior Minister Moshe Arbel, Social Affairs Minister Ya'akov Margi and Religious Services Minister Michael Malchieli." Malchieli reportedly has postponed his resignation so he could attend a 20 July meeting of the panel investigating whether attorney general Gali Baharav-Miara should be dismissed. Deputy Minister of Agriculture Moshe Abutbul, Minister of Health Uriel Buso and Haim Biton, a minister in the Education Ministry, also submitted their resignation letters, while Arbel retracted his resignation letter. The last cabinet member from the party to submit it was Labor Minister Yoav Ben-Tzur. The ministers who resigned will return to the Knesset, replacing MKs Moshe Roth, Yitzhak Pindrus and Eliyahu Baruchi. Members of government Listed below are the current ministers in the government: Principles and priorities According to the agreements signed between Likud and each of its coalition partners, and the incoming government's published guideline principles, its stated priorities are to combat the cost of living, further centralize Orthodox control over the state religious services, pass judicial reforms which include legislation to reduce judicial controls on executive and legislative power, expand settlements in the West Bank, and consider an annexation of the West Bank. Before the vote of confidence in his new government in the Knesset, Netanyahu presented three top priorities for the new government: internal security and governance, halting the nuclear program of Iran, and the development of infrastructure, with a focus on further connecting the center of the country with its periphery. Policies The government's flagship program, centered around reforms in the judicial branch, drew widespread criticism. Critics said it would have negative effects on the separation of powers, the office of the Attorney General, the economy, public health, women and minorities, workers' rights, scientific research, the overall strength of Israel's democracy and its foreign relations. After weeks of public protests on Israel's streets, joined by a growing number of military reservists, Minister of Defense Yoav Gallant spoke against the reform on 25 March, calling for a halt of the legislative process "for the sake of Israel's security". The next day, Netanyahu announced that he would be removed from his post, sparking another wave of protest across Israel and ultimately leading to Netanyahu agreeing to pause the legislation. On 10 April, Netanyahu announced that Gallant would keep his post. On 27 March 2023, after the public protests and general strikes, Netanyahu announced a pause in the reform process to allow for dialogue with opposition parties. However, negotiations aimed at reaching a compromise collapsed in June, and the government resumed its plans to unilaterally pass parts of the legislation. On 24 July 2023, the Knesset passed a bill that curbs the power of the Supreme Court to declare government decisions unreasonable; on 1 January 2024, the Supreme Court struck the bill down. The Knesset passed a "watered-down" version of the judicial reform package in late March 2025 which "changes the composition" of the judicial selection committee. In December 2022 Minister of National Security Itamar Ben-Gvir sought to amend the law that regulates the operations of the Israel Police, such that the ministry will have more direct control of its forces and policies, including its investigative priorities. Attorney General Gali Baharav-Miara objected to the draft proposal, raising concerns that the law would enable the politicization of police work, and the draft was amended to partially address those concerns. Nevertheless, in March 2023 Deputy Attorney General Gil Limon stated that the Attorney General's fears had been realized, referring to several instances of ministerial involvement in the day-to-day work of the otherwise independent police force – statements that were repeated by the Attorney General herself two days later. Separately, Police Commissioner Kobi Shabtai instructed Deputy Commissioners to avoid direct communication with the minister, later stating that "the Israel Police will remain apolitical, and act only according to law". Following appeals by the Association for Civil Rights in Israel and the Movement for Quality Government in Israel, the High Court of Justice instructed Ben-Gvir "to refrain from giving operational directions to the police... [especially] as regards to protests and demonstrations against the government." As talks of halting the judicial reform gained wind during March 2023, Minister of National Security Itamar Ben-Gvir threatened to resign if the legislation implementing the changes was suspended. To appease Ben-Gvir, Prime Minister Netanyahu announced that the government would promote the creation of a new National Guard, to be headed by Ben-Gvir. On 29 March, thousands of Israelis demonstrated in Tel Aviv, Haifa and Jerusalem against this decision. On 1 April, the New York Times quoted Gadeer Nicola, head of the Arab department at the Association for Civil Rights in Israel, as saying "If this thing passes, it will be an imminent danger to the rights of Arab citizens in this country. This will create two separate systems of applying the law. The regular police which will operate against Jewish citizens — and a militarized militia to deal only with Arab citizens." The same day, while speaking on Israel's Channel 13 about those whom he'd like to see enlist in the National Guard, Ben-Gvir specifically mentioned La Familia, the far-right fan club of the Beitar Jerusalem soccer team. On 2 April, Israel's cabinet approved the establishment of a law enforcement body that would operate independently of the police, under Ben-Gvir's authority. According to the decision, the Minister was to establish a committee chaired by the Director General of the Ministry of National Security, with representatives of the ministries of defense, justice and finance, as well as the police and the IDF, to outline the operations of the new organization. The committee's recommendations will be submitted to the government for consideration. Addressing a conference on 4 April, Police Commissioner Kobi Shabtai said that he is not opposed to the establishment of a security body which would answer to the police, but "a separate body? Absolutely not." The police chief said he had warned Ben-Gvir that the establishment of a security body separate from the police is "unnecessary, with extremely high costs that may harm citizens' personal security." During a press conference on 10 April, Prime Minister Netanyahu said, in what has been seen by some news outlets as a concession to the protesters, that "This will not be anyone's militia, it will be a security body, orderly, professional, that will be subordinate to one of the [existing] security bodies." The committee established by the government recommended the government to order the establishment of the National Guard immediately while allocating budgets. The National Guard, under whose command will be a superintendent of the police, will not be subordinate to Ben-Gvir. It will be subordinate to the police commissioner and will be part of Israel Border Police. The Ministry of Defense and Finance opposed the conclusions. The Israeli National Security Council called for further discussion on this. The coalition's efforts to expand the purview of Rabbinical courts; force some organizations, such as hospitals, to enforce certain religious practices; amend the Law Prohibiting Discrimination to allow gender segregation and discrimination on the grounds of religious belief; expand funding for religious causes; and put into law the exemption of yeshiva and kolel students from conscription have drawn criticism. According to the Haaretz op-ed of 7 March 2023, "the current coalition is interested... in modifying the public space so it suits the religious lifestyle. The legal coup is meant to castrate anyone who can prevent it, most of all the HCJ." Several banks and institutional investors, including the Israel Discount Bank and AIG have committed to avoid investing in, or providing credit to any organization that will discriminate against others on ground of religion, race, gender or sexual orientation. A series of technology companies and investment firms including Wiz, Intel Israel, Salesforce and Microsoft Israel Research and Development, have criticized the proposed changes to the Law Prohibiting Discrimination, with Wiz stating that it will require its suppliers to commit to preventing discrimination. Over sixty prominent law firms pledged that they will neither represent, nor do business with discriminating individuals and organizations. Insight Partners, a major private equity fund operating in Israel, released a statement warning against intolerance and any attempt to harm personal liberties. Orit Lahav, chief executive of the women's rights organization Mavoi Satum ("Dead End"), said that "the Rabbinical courts are the most discriminatory institution in the State of Israel... Limiting the HCJ[d] while expanding the jurisdiction of the Rabbinical courts would... cause significant harm to women." Anat Thon Ashkenazy, Director of the Center for Democratic Values and Institutions at the Israel Democracy Institute, said that "almost every part of the reform could harm women... the meaning of an override clause is that even if the court says that the law on gender segregation is illegitimate, is harmful, the Knesset could say 'Okay, we say otherwise'". She added that "there is a very broad institutional framework here, after which there will come legislation that harms women's right and we will have no way of protecting or stopping it." During July 2023, 20 professional medical associations signed a letter of position warning against the ramifications to public health that would result from the exclusion of women from the public sphere. They cited, among others, a rise in prevalence of risk factors for cardiovascular disease, pregnancy-related ailments, psychological distress, and the risk of suicide. On 30 July the Knesset passed an amendment to penal law adding sexual offenses to those offenses whose penalty can be doubled if done on grounds of "nationalistic terrorism, racism or hostility towards a certain community". According to MK Limor Son Har-Melech, the bill is meant to penalize any individual who "[intends to] harm a woman sexually based on her Jewishness". The law was criticized by MK Gilad Kariv as "populist, nationalistic, and dangerous towards the Arab citizens of Israel", and by MK Ahmad Tibi as a "race law", and was objected to by legal advisors at the Ministry of Justice and the Knesset Committee on National Security. Activist Orit Kamir wrote that "the amendment... is neither feminist, equal, nor progressive, but the opposite: it subordinates women's sexuality to the nationalistic, racist patriarchy. It hijacks the Law for Prevention of Sexual Harassment to serve a world view that tags women as sexual objects that personify the nation's honor." Yael Sherer, director of the Lobby to Combat Sexual Violence, criticized the law as being informed by dated ideas about sexual assault, and proposed that MKs "dedicate a session... to give victims of sexual assault an opportunity to come out of the darkness... instead of [submitting] declarative bills that change nothing and are not meant but for grabbing headlines". In Israel, during 2022, 24 women "were murdered because they were women," which was an increase of 50% compared to 2021. A law permitting courts to order men subject to a restraining order following domestic violence offenses to wear electronic tags was drafted during the previous Knesset and had passed its first reading unanimously. On 22 March 2023, the Knesset voted to reject the bill. It had been urged to do so by National Security Minister Itamar Ben-Gvir, who said that the bill was unfair to men. Earlier in the week, Ben-Gvir had blocked the measure from advancing in the ministerial legislative committee. The MKs voting against the bill included Prime Minister Netanyahu. The Association of Families of Murder Victims said that by rejecting the law, National Security Minister Itamar Ben-Gvir "brings joy to violent men and abandons the women threatened with murder… unsupervised restraining orders endanger women's lives even more. They give women the illusion of being protected, and then they are murdered." MK Pnina Tamano-Shata, chairwoman of the Knesset Committee on the Status of Women and Gender Equality, said that "the coalition proved today that it despises women's lives." The NGO Amutat Bat Melech [he], which assists Orthodox and ultra-Orthodox women who suffer from domestic violence, said that: "Rejecting the electronic bracelet bill is disconnected from the terrible reality of seven femicides since the beginning of the year. This is an effective tool of the first degree that could have saved lives and reduced the threat to women suffering from domestic violence. This is a matter of life and death, whose whole purpose is to provide a solution to defend women." The agreement signed by the coalition parties includes the setting up of a committee to draft changes to the Law of Return. Israeli religious parties have long demanded that the "grandchild clause" of the Law of Return be cancelled. This clause grants citizenship to anyone with at least one Jewish grandparent, as long as they do not practice another religion. If the grandchild clause were to be removed from the Law of Return then around 3 million people who are currently eligible for aliyah would no longer be eligible. The heads of the Jewish Agency, the Jewish Federations of North America, the World Zionist Organization and Keren Hayesod sent a joint letter to Prime Minister Netanyahu, expressing their "deep concern" about any changes to the Law of Return, adding that "Any change in the delicate and sensitive status quo on issues such as the Law of Return or conversion could threaten to unravel the ties between us and keep us away from each other." The Executive Council of Australian Jewry and the Zionist Federation of Australia issued a joint statement saying "We… view with deep concern… proposals in relation to religious pluralism and the law of return that risk damaging Israel's… relationship with Diaspora Jewry." On 19 March 2023, Israeli Finance Minister Bezalel Smotrich spoke in Paris at a memorial service for a Likud activist. The lectern at which Smotrich spoke was covered with a flag depicting the 'Greater Land of Israel,' encompassing the whole of Mandatory Palestine, as well as Trans-Jordan. During his speech, Smotrich said that "there's no such thing as Palestinians because there's no such thing as a Palestinian people." He added that the Palestinian people are a fictitious nation invented only to fight the Zionist movement, asking "Is there a Palestinian history or culture? There isn't any." The event received widespread media coverage. On 21 March, a spokesman for the US State Department sharply criticized Smotrich's comments. "The comments, which were delivered at a podium adorned with an inaccurate and provocative map, are offensive, they are deeply concerning, and, candidly, they're dangerous. The Palestinians have a rich history and culture, and the United States greatly values our partnership with the Palestinian people," he said. The Jordanian Foreign Ministry also voiced disapproval: "The Israeli Minister of Finance's use, during his participation in an event held yesterday in Paris, of a map of Israel that includes the borders of the Hashemite Kingdom of Jordan and the occupied Palestinian territories represents a reckless inflammatory act, and a violation of international norms and the Jordanian-Israeli peace treaty." Additionally, a map encompassing Mandatory Palestine and Trans-Jordan with a Jordanian flag on it was placed on a central lectern in the Jordanian Parliament. Jordan's parliament voted to expel the Israeli ambassador. Israel's Ministry of Foreign Affairs released a clarification relating to the matter, stating that "Israel is committed to the 1994 peace agreement with Jordan. There has been no change in the position of the State of Israel, which recognizes the territorial integrity of the Hashemite Kingdom of Jordan". Ahead of a Europe Day event due to take place on 9 May 2023, far-right wing National Security Minister Itamar Ben-Gvir was assigned as a representative of the government and a speaker at the event by the government secretariat, which deals with placing ministers at receptions on the occasion of the national days of the foreign embassies. The European Union requested that Ben-Gvir not attend, but the government did not make changes to the plan. On 8 May, the European delegation to Israel cancelled the reception, stating that: "The EU Delegation to Israel is looking forward to celebrating Europe Day on May 9, as it does every year. Regrettably, this year we have decided to cancel the diplomatic reception, as we do not want to offer a platform to someone whose views contradict the values the European Union stands for. However, the Europe Day cultural event for the Israeli public will be maintained to celebrate with our friends and partners in Israel the strong and constructive bilateral relationship". Israel's Opposition Leader Yair Lapid stated: "Sending Itamar Ben-Gvir to a gathering of EU ambassadors is a serious professional mistake. The government is embarrassing a large group of friendly countries, jeopardizing future votes in international institutions, and damaging our foreign relations. Last year, after a decade of efforts, we succeeded in signing an economic-political agreement with the European Union that will contribute to the Israeli economy and our foreign relations. Why risk it, and for what? Ben-Gvir is not a legitimate person in the international community (and not really in Israel either), and sometimes you have to be both wise and just and simply send someone else". On 23 February 2023, Defense Minister Gallant signed an agreement assigning governmental powers in the West Bank to a body to be headed by Minister Bezalel Smotrich, who will effectively become the governor of the West Bank, controlling almost all areas of life in the area, including planning, building and infrastructure. Israeli governments have hitherto been careful to keep the occupation as a military government. The temporary holding of power by an occupying military force, pending a negotiated settlement, is a principle of international law – an expression of the prohibition against obtaining sovereignty through conquest that was introduced in the wake of World War II. An editorial in Haaretz noted that the assignment of governmental powers in the West Bank to a civilian governor, alongside the plan to expand the dual justice system so that Israeli law will apply fully to settlers in the West Bank, constitutes de jure annexation of the West Bank. On 26 February 2023, following the 2023 Huwara shooting in which two Israelis were killed by an unidentified attacker, hundreds of Israeli settlers attacked the Palestinian town of Huwara and three nearby villages, setting alight hundreds of Palestinian homes (some with people in them), businesses, a school, and numerous vehicles, killing one Palestinian man and injuring 100 others. Bezalel Smotrich subsequently called on Twitter for Huwara to be "wiped out" by the Israeli government. Zvika Fogel MK, of the ultra-nationalist Otzma Yehudit, which forms part of the governing coalition, said that he "looks very favorably upon" the results of the rampage. Members of the coalition proposed an amendment to the Disengagement Law, which would allow Israelis to resettle settlements vacated during the 2005 Israeli disengagement from Gaza and the northern West Bank. The evacuated settlements were considered illegal under international law, according to most countries. The proposal was approved for voting by the Foreign Affairs and Defense Committee on 9 March 2023, while the committee was still waiting for briefing materials from the NSS, IDF, MFA and Shin Bet, and was passed on 21 March. The US has requested clarification from Israeli ambassador Michael Herzog. A US State Department spokesman stated that "The U.S. strongly urges Israel to refrain from allowing the return of settlers to the area covered by the legislation, consistent with both former Prime Minister Sharon and the current Israeli Government's commitment to the United States," noting that the actions represent a clear violation of undertakings given by the Sharon government to the Bush administration in 2005 and Netanyahu's far-right coalition to the Biden administration the previous week. Minister of Communication Shlomo Karhi had initially intended to cut the funding of the Israeli Public Broadcasting Corporation (also known by its blanket branding Kan) by 400 million shekels – roughly half of its total budget – closing several departments, and privatizing content creation. In response, the Director-General of the European Broadcasting Union, Noel Curran, sent two urgent letters to Netanyahu, expressing his concerns and calling on the Israeli government to "safeguard the independence of our Member KAN and ensure it is allowed to operate in a sustainable way, with funding that is both stable, adequate, fair, and transparent." On 25 January 2023, nine journalist organizations representing some of Kan's competitors issued a statement of concern, acknowledging the "important contribution of public broadcasting in creating a worthy, unbiased and non-prejudicial journalistic platform", and noting that "the existence of the [broadcasting] corporation as a substantial public broadcast organization strengthens media as a whole, adding to the competition in the market rather than weakening it." They also expressed their concern that the "real reason" for the proposal was actually "an attempt to silence voices from which... [the Minister] doesn't always draw satisfaction". The same day, hundreds of journalists, actors and filmmakers protested in Tel Aviv. The proposal was eventually put on hold. On 22 February 2023 it was reported that Prime Minister Netanyahu was attempting to appoint his close associate Yossi Shelley as the deputy to the National Statistician — a highly sensitive position in charge of providing accurate data for decision makers. The appointment of Shelley, who did not possess the required qualifications for the role, was withdrawn following publication. In its daily editorial, Haaretz tied this attempt with the judicial reform: "once they take control of the judiciary, law enforcement and public media, they wish to control the state's data base, the dry numerical data it uses to plan its future". Netanyahu also proposed Avi Simhon for the role, and eventually froze all appointments at the Israel Central Bureau of Statistics. Also on 22 February 2023, it was revealed that Yoav Kish, the Minister of Education, was promoting a draft government decision change to the National Library of Israel board of directors which would grant him more power over the institution. In response, the Hebrew University — which owned the library until 2008 – announced that if the draft is accepted, it will withdraw its collections from the library. The university's collections, which according to the university constitute some 80% of the library's collection, include the Agnon archive, the original manuscript of Hatikvah, and the Rothschild Haggadah, the oldest known Haggadah. A group of 300 authors and poets signed an open letter against the move, further noting their objection against "political takeover" of public broadcasting, as well as "any legislation that will castrate the judiciary and damage the democratic foundations of the state of Israel". Several days later, it was reported that a series of donors decided to withhold their donations to the library, totaling some 80 million shekels. On 3 March a petition against the move by 1,500 academics, including Israel Prize laureates, was sent to Kish. The proposal has been seen by some as retribution against Shai Nitzan, the former State Attorney and the library's current rector. On 5 March it was reported that the Legal Advisor to the Ministry of Finance, Asi Messing, was withholding the proposal. According to Messing, the proposal – which was being promoted as part of the Economic Arrangements Law – "was not reviewed... by the qualified personnel in the Ministry of Finance, does not align with any of the common goals of the economic plan, was not agreed to by myself and was not approved by the Attorney General." As of February 2023, the government has been debating several proposals that will significantly weaken the Ministry of Environmental Protection, including reducing the environmental regulation of planning and development and electricity production. One of the main proposals, the transferal of a 3 billion shekel fund meant to finance waste management plants from the Ministry of Environmental Protection to the Ministry of the Interior, was eventually withdrawn. The Minister of Environmental Protection, Idit Silman, has been criticized for using for meeting with climate change denialists, for wasteful and personally-motivated travel on the ministry's expense, for politicizing the role, and for engaging in political activity on the ministry's time. The government has been noted for an unusually high number of dismissals and resignations of senior career civil servants, and for the frequent attempts to replace them with candidates with known political associations, who are often less competent. According to sources, Netanyahu and people in his vicinity are seeking out civil servants who were appointed by the previous government, intent on replacing them with people loyal to him. Governmental nominees for various positions have been criticized for lack of expertise. In addition to the nominee to the position of Deputy National Statistician (see above), the Director General of the Ministry of Finance, Shlomi Heisler; the Director General of the Ministry of Justice, Itamar Donenfeld; and the Director General of Ministry of Transport, Moshe Ben Zaken, have all been criticized for incompetence, lack of familiarity with their Ministries' subject matter, lack of interest in the job, or lack of experience in managing large organizations. It has been reported that in some ministries, senior officials were enacting slowdowns as a means for dealing with the new ministers and director generals. On 28 July the director general of the Ministry of Education resigned, citing as reason the societal "rift". Asaf Zalel, a retired Air Force Brigadier General, was appointed in January. When asked about attempts to appoint his personal friend and attorney to the board of directors of a state-owned company, Minister David Amsalem replied: "that is my job, due to my authority to appoint directors. I put forward people that I know and hold in esteem". Under Minister of Transport Miri Regev, the ministry has either dismissed or lost the heads of the National Public Transport Authority, Israel Airports Authority, National Road Safety Authority, Israel Railways, and several officials in Netivei Israel. The current chair of Netivei Israel is Likud member and Regev associate Yigal Amadi, and the legal counsel is Einav Abuhzira, daughter of a former Likud branch chair. Abuhzira was appointed instead of Elad Berdugo, nephew of Netanyahu surrogate Yaakov Bardugo, after he was disqualified for the role by the Israel Government Companies Authority. In July 2023 the Ministry of Communications, Shlomo Karhi, and the minister in charge of the Israel Government Companies Authority, Dudi Amsalem, deposed the chair of the Israel Postal Company, Michael Vaknin. The chair, who was hired to lead the company's financial recovery after years of operational loss and towards privatization, has gained the support of officials at the Authority and at the Ministry of Finance; nevertheless, the ministers claimed that his performance is inadequate, and nominated in his place Yiftah Ron-Tal, who has known ties to Netanyahu and Smotrich. They also nominated four new directors, two of which have known political associations, and a third who was a witness in Netanyahu's trial. The coalition is allowed to spend a portion of the state's budget on a discretionary basis, meant to coax member parties to reach an agreement on the budget. As of May 2023, the government was pushing an allocation of over 13 billion shekels over two years - almost seven times the amount allocated by the previous government. Most of the funds will be allocated for uses associated with the religious, orthodox and settler communities. The head of the Budget Department at the Ministry of Finance, Yoav Gardos, objected to the allocations, claiming they would exacerbate unemployment in the Orthodox community, which is projected to cost the economy a total of 6.7 trillion shekels in lost produce by 2065. At the onset of the Gaza war and the declaration of a state of national emergency, Minister of Finance Bezalel Smotrich instructed government agencies to continue with the planned distribution of discretionary funds. Corruption During March 2023, the government was promoting an amendment to the Law on Public Service (Gifts) that would allow Netanyahu to receive donations to fund his legal defense. The amendment follows a decision by the High Court of Justice (HCJ) that forced Netanyahu to refund US$270,000 given to him and his wife by his late cousin, Nathan Mileikowsky, for their legal defense. This is in contrast to past statements by Minister of Justice Yariv Levin, who spoke against the possible conflict of interests that can result from such transactions. The bill was opposed by the Attorney General Gali Baharav-Miara, who stressed that it could "create a real opportunity for governmental corruption", and was eventually withdrawn at the end of March. As of March 2023, the coalition was promoting a bill that would prevent judicial review of ministerial appointments. The bill is intended to prevent the HCJ from reviewing the appointment of the twice-convicted chairman of Shas, Aryeh Deri (convicted of bribery, fraud, and breach of trust), to a ministerial position, after his previous appointment was annulled on grounds of unreasonableness. The bill follows on the heels of another amendment, that relaxed the ban on the appointment of convicted criminals, so that Deri - who was handed a suspended sentence after his second conviction - could be appointed. The bill is opposed by the Attorney General, as well as by the Knesset Legal Adviser, Sagit Afik. Israeli law allows for declaring a Prime Minister (as well as several other high-ranking public officials) to be temporarily or permanently incapacitated, but does not specify the conditions which can lead to a declaration of incapacitation. In the case of the Prime Minister, the authority to do so is given to the Attorney General. In March 2023, the coalition advanced a bill that passes this authority from the Attorney General to the government with the approval of the Knesset committee, and clarified that incapacitation can only result from medical or mental conditions. On 3 January 2024, the Supreme Court ruled by a majority of 6 out of 11 that the validity of the law will be postponed to the next Knesset because the bill in its immediate application is a personal law and is intended to serve a distinct personal purpose. Later, the court rejected a petition regarding the definition of Netanyahu as an incapacitated prime minister due to his ongoing trial and conflict of interests. Notes References External links |
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Contents Python (programming language) Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language. Python 3.0, released in 2008, was a major revision and not completely backward-compatible with earlier versions. Beginning with Python 3.5, capabilities and keywords for typing were added to the language, allowing optional static typing. As of 2026[update], the Python Software Foundation supports Python 3.10, 3.11, 3.12, 3.13, and 3.14, following the project's annual release cycle and five-year support policy. Python 3.15 is currently in the alpha development phase, and the stable release is expected to come out in October 2026. Earlier versions in the 3.x series have reached end-of-life and no longer receive security updates. Python has gained widespread use in the machine learning community. It is widely taught as an introductory programming language. Since 2003, Python has consistently ranked in the top ten of the most popular programming languages in the TIOBE Programming Community Index, which ranks based on searches in 24 platforms. History Python was conceived in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands. It was designed as a successor to the ABC programming language, which was inspired by SETL, capable of exception handling and interfacing with the Amoeba operating system. Python implementation began in December 1989. Van Rossum first released it in 1991 as Python 0.9.0. Van Rossum assumed sole responsibility for the project, as the lead developer, until 12 July 2018, when he announced his "permanent vacation" from responsibilities as Python's "benevolent dictator for life" (BDFL); this title was bestowed on him by the Python community to reflect his long-term commitment as the project's chief decision-maker. (He has since come out of retirement and is self-titled "BDFL-emeritus".) In January 2019, active Python core developers elected a five-member Steering Council to lead the project. The name Python derives from the British comedy series Monty Python's Flying Circus. (See § Naming.) Python 2.0 was released on 16 October 2000, featuring many new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 2.7's end-of-life was initially set for 2015, and then postponed to 2020 out of concern that a large body of existing code could not easily be forward-ported to Python 3. It no longer receives security patches or updates. While Python 2.7 and older versions are officially unsupported, a different unofficial Python implementation, PyPy, continues to support Python 2, i.e., "2.7.18+" (plus 3.11), with the plus signifying (at least some) "backported security updates". Python 3.0 was released on 3 December 2008, and was a major revision and not completely backward-compatible with earlier versions, with some new semantics and changed syntax. Python 2.7.18, released in 2020, was the last release of Python 2. Several releases in the Python 3.x series have added new syntax to the language, and made a few (considered very minor) backward-incompatible changes. As of January 2026[update], Python 3.14.3 is the latest stable release. All older 3.x versions had a security update down to Python 3.9.24 then again with 3.9.25, the final version in 3.9 series. Python 3.10 is, since November 2025, the oldest supported branch. Python 3.15 has an alpha released, and Android has an official downloadable executable available for Python 3.14. Releases receive two years of full support followed by three years of security support. Design philosophy and features Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming – including metaprogramming and metaobjects. Many other paradigms are supported via extensions, including design by contract and logic programming. Python is often referred to as a 'glue language' because it is purposely designed to be able to integrate components written in other languages. Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management. It uses dynamic name resolution (late binding), which binds method and variable names during program execution. Python's design offers some support for functional programming in the "Lisp tradition". It has filter, map, and reduce functions; list comprehensions, dictionaries, sets, and generator expressions. The standard library has two modules (itertools and functools) that implement functional tools borrowed from Haskell and Standard ML. Python's core philosophy is summarized in the Zen of Python (PEP 20) written by Tim Peters, which includes aphorisms such as these: However, Python has received criticism for violating these principles and adding unnecessary language bloat. Responses to these criticisms note that the Zen of Python is a guideline rather than a rule. The addition of some new features had been controversial: Guido van Rossum resigned as Benevolent Dictator for Life after conflict about adding the assignment expression operator in Python 3.8. Nevertheless, rather than building all functionality into its core, Python was designed to be highly extensible via modules. This compact modularity has made it particularly popular as a means of adding programmable interfaces to existing applications. Van Rossum's vision of a small core language with a large standard library and easily extensible interpreter stemmed from his frustrations with ABC, which represented the opposite approach. Python claims to strive for a simpler, less-cluttered syntax and grammar, while giving developers a choice in their coding methodology. Python lacks do .. while loops, which Rossum considered harmful. In contrast to Perl's motto "there is more than one way to do it", Python advocates an approach where "there should be one – and preferably only one – obvious way to do it". In practice, however, Python provides many ways to achieve a given goal. There are at least three ways to format a string literal, with no certainty as to which one a programmer should use. Alex Martelli is a Fellow at the Python Software Foundation and Python book author; he wrote that "To describe something as 'clever' is not considered a compliment in the Python culture." Python's developers typically prioritize readability over performance. For example, they reject patches to non-critical parts of the CPython reference implementation that would offer increases in speed that do not justify the cost of clarity and readability.[failed verification] Execution speed can be improved by moving speed-critical functions to extension modules written in languages such as C, or by using a just-in-time compiler like PyPy. Also, it is possible to transpile to other languages. However, this approach either fails to achieve the expected speed-up, since Python is a very dynamic language, or only a restricted subset of Python is compiled (with potential minor semantic changes). Python is meant to be a fun language to use. This goal is reflected in the name – a tribute to the British comedy group Monty Python – and in playful approaches to some tutorials and reference materials. For instance, some code examples use the terms "spam" and "eggs" (in reference to a Monty Python sketch), rather than the typical terms "foo" and "bar". A common neologism in the Python community is pythonic, which has a broad range of meanings related to program style: Pythonic code may use Python idioms well; be natural or show fluency in the language; or conform with Python's minimalist philosophy and emphasis on readability. Syntax and semantics Python is meant to be an easily readable language. Its formatting is visually uncluttered and often uses English keywords where other languages use punctuation. Unlike many other languages, it does not use curly brackets to delimit blocks, and semicolons after statements are allowed but rarely used. It has fewer syntactic exceptions and special cases than C or Pascal. Python uses whitespace indentation, rather than curly brackets or keywords, to delimit blocks. An increase in indentation comes after certain statements; a decrease in indentation signifies the end of the current block. Thus, the program's visual structure accurately represents its semantic structure. This feature is sometimes termed the off-side rule. Some other languages use indentation this way; but in most, indentation has no semantic meaning. The recommended indent size is four spaces. Python's statements include the following: The assignment statement (=) binds a name as a reference to a separate, dynamically allocated object. Variables may subsequently be rebound at any time to any object. In Python, a variable name is a generic reference holder without a fixed data type; however, it always refers to some object with a type. This is called dynamic typing—in contrast to statically-typed languages, where each variable may contain only a value of a certain type. Python does not support tail call optimization or first-class continuations; according to Van Rossum, the language never will. However, better support for coroutine-like functionality is provided by extending Python's generators. Before 2.5, generators were lazy iterators; data was passed unidirectionally out of the generator. From Python 2.5 on, it is possible to pass data back into a generator function; and from version 3.3, data can be passed through multiple stack levels. Python's expressions include the following: In Python, a distinction between expressions and statements is rigidly enforced, in contrast to languages such as Common Lisp, Scheme, or Ruby. This distinction leads to duplicating some functionality, for example: A statement cannot be part of an expression; because of this restriction, expressions such as list and dict comprehensions (and lambda expressions) cannot contain statements. As a particular case, an assignment statement such as a = 1 cannot be part of the conditional expression of a conditional statement. Python uses duck typing, and it has typed objects but untyped variable names. Type constraints are not checked at definition time; rather, operations on an object may fail at usage time, indicating that the object is not of an appropriate type. Despite being dynamically typed, Python is strongly typed, forbidding operations that are poorly defined (e.g., adding a number and a string) rather than quietly attempting to interpret them. Python allows programmers to define their own types using classes, most often for object-oriented programming. New instances of classes are constructed by calling the class, for example, SpamClass() or EggsClass()); the classes are instances of the metaclass type (which is an instance of itself), thereby allowing metaprogramming and reflection. Before version 3.0, Python had two kinds of classes, both using the same syntax: old-style and new-style. Current Python versions support the semantics of only the new style. Python supports optional type annotations. These annotations are not enforced by the language, but may be used by external tools such as mypy to catch errors. Python includes a module typing including several type names for type annotations. Also, mypy supports a Python compiler called mypyc, which leverages type annotations for optimization. 1.33333 frozenset() Python includes conventional symbols for arithmetic operators (+, -, *, /), the floor-division operator //, and the modulo operator %. (With the modulo operator, a remainder can be negative, e.g., 4 % -3 == -2.) Also, Python offers the ** symbol for exponentiation, e.g. 5**3 == 125 and 9**0.5 == 3.0. Also, it offers the matrix‑multiplication operator @ . These operators work as in traditional mathematics; with the same precedence rules, the infix operators + and - can also be unary, to represent positive and negative numbers respectively. Division between integers produces floating-point results. The behavior of division has changed significantly over time: In Python terms, the / operator represents true division (or simply division), while the // operator represents floor division. Before version 3.0, the / operator represents classic division. Rounding towards negative infinity, though a different method than in most languages, adds consistency to Python. For instance, this rounding implies that the equation (a + b)//b == a//b + 1 is always true. Also, the rounding implies that the equation b*(a//b) + a%b == a is valid for both positive and negative values of a. As expected, the result of a%b lies in the half-open interval [0, b), where b is a positive integer; however, maintaining the validity of the equation requires that the result must lie in the interval (b, 0] when b is negative. Python provides a round function for rounding a float to the nearest integer. For tie-breaking, Python 3 uses the round to even method: round(1.5) and round(2.5) both produce 2. Python versions before 3 used the round-away-from-zero method: round(0.5) is 1.0, and round(-0.5) is −1.0. Python allows Boolean expressions that contain multiple equality relations to be consistent with general usage in mathematics. For example, the expression a < b < c tests whether a is less than b and b is less than c. C-derived languages interpret this expression differently: in C, the expression would first evaluate a < b, resulting in 0 or 1, and that result would then be compared with c. Python uses arbitrary-precision arithmetic for all integer operations. The Decimal type/class in the decimal module provides decimal floating-point numbers to a pre-defined arbitrary precision with several rounding modes. The Fraction class in the fractions module provides arbitrary precision for rational numbers. Due to Python's extensive mathematics library and the third-party library NumPy, the language is frequently used for scientific scripting in tasks such as numerical data processing and manipulation. Functions are created in Python by using the def keyword. A function is defined similarly to how it is called, by first providing the function name and then the required parameters. Here is an example of a function that prints its inputs: To assign a default value to a function parameter in case no actual value is provided at run time, variable-definition syntax can be used inside the function header. Code examples "Hello, World!" program: Program to calculate the factorial of a non-negative integer: Libraries Python's large standard library is commonly cited as one of its greatest strengths. For Internet-facing applications, many standard formats and protocols such as MIME and HTTP are supported. The language includes modules for creating graphical user interfaces, connecting to relational databases, generating pseudorandom numbers, arithmetic with arbitrary-precision decimals, manipulating regular expressions, and unit testing. Some parts of the standard library are covered by specifications—for example, the Web Server Gateway Interface (WSGI) implementation wsgiref follows PEP 333—but most parts are specified by their code, internal documentation, and test suites. However, because most of the standard library is cross-platform Python code, only a few modules must be altered or rewritten for variant implementations. As of 13 March 2025,[update] the Python Package Index (PyPI), the official repository for third-party Python software, contains over 614,339 packages. Development environments Most[which?] Python implementations (including CPython) include a read–eval–print loop (REPL); this permits the environment to function as a command line interpreter, with which users enter statements sequentially and receive results immediately. Also, CPython is bundled with an integrated development environment (IDE) called IDLE, which is oriented toward beginners.[citation needed] Other shells, including IDLE and IPython, add additional capabilities such as improved auto-completion, session-state retention, and syntax highlighting. Standard desktop IDEs include PyCharm, Spyder, and Visual Studio Code; there are web browser-based IDEs, such as the following environments: Implementations CPython is the reference implementation of Python. This implementation is written in C, meeting the C11 standard since version 3.11. Older versions use the C89 standard with several select C99 features, but third-party extensions are not limited to older C versions—e.g., they can be implemented using C11 or C++. CPython compiles Python programs into an intermediate bytecode, which is then executed by a virtual machine. CPython is distributed with a large standard library written in a combination of C and native Python. CPython is available for many platforms, including Windows and most modern Unix-like systems, including macOS (and Apple M1 Macs, since Python 3.9.1, using an experimental installer). Starting with Python 3.9, the Python installer intentionally fails to install on Windows 7 and 8; Windows XP was supported until Python 3.5, with unofficial support for VMS. Platform portability was one of Python's earliest priorities. During development of Python 1 and 2, even OS/2 and Solaris were supported; since that time, support has been dropped for many platforms. All current Python versions (since 3.7) support only operating systems that feature multithreading, by now supporting not nearly as many operating systems (dropping many outdated) than in the past. All alternative implementations have at least slightly different semantics. For example, an alternative may include unordered dictionaries, in contrast to other current Python versions. As another example in the larger Python ecosystem, PyPy does not support the full C Python API. Creating an executable with Python often is done by bundling an entire Python interpreter into the executable, which causes binary sizes to be massive for small programs, yet there exist implementations that are capable of truly compiling Python. Alternative implementations include the following: Stackless Python is a significant fork of CPython that implements microthreads. This implementation uses the call stack differently, thus allowing massively concurrent programs. PyPy also offers a stackless version. Just-in-time Python compilers have been developed, but are now unsupported: There are several compilers/transpilers to high-level object languages; the source language is unrestricted Python, a subset of Python, or a language similar to Python: There are also specialized compilers: Some older projects existed, as well as compilers not designed for use with Python 3.x and related syntax: A performance comparison among various Python implementations, using a non-numerical (combinatorial) workload, was presented at EuroSciPy '13. In addition, Python's performance relative to other programming languages is benchmarked by The Computer Language Benchmarks Game. There are several approaches to optimizing Python performance, despite the inherent slowness of an interpreted language. These approaches include the following strategies or tools: Language Development Python's development is conducted mostly through the Python Enhancement Proposal (PEP) process; this process is the primary mechanism for proposing major new features, collecting community input on issues, and documenting Python design decisions. Python coding style is covered in PEP 8. Outstanding PEPs are reviewed and commented on by the Python community and the steering council. Enhancement of the language corresponds with development of the CPython reference implementation. The mailing list python-dev is the primary forum for the language's development. Specific issues were originally discussed in the Roundup bug tracker hosted by the foundation. In 2022, all issues and discussions were migrated to GitHub. Development originally took place on a self-hosted source-code repository running Mercurial, until Python moved to GitHub in January 2017. CPython's public releases have three types, distinguished by which part of the version number is incremented: Many alpha, beta, and release-candidates are also released as previews and for testing before final releases. Although there is a rough schedule for releases, they are often delayed if the code is not ready yet. Python's development team monitors the state of the code by running a large unit test suite during development. The major academic conference on Python is PyCon. Also, there are special Python mentoring programs, such as PyLadies. Naming Python's name is inspired by the British comedy group Monty Python, whom Python creator Guido van Rossum enjoyed while developing the language. Monty Python references appear frequently in Python code and culture; for example, the metasyntactic variables often used in Python literature are spam and eggs, rather than the traditional foo and bar. Also, the official Python documentation contains various references to Monty Python routines. Python users are sometimes referred to as "Pythonistas". Languages influenced by Python See also Notes References Further reading External links |
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[SOURCE: https://dev.to/t/opensource] | [TOKENS: 722] |
DEV Community Open Source May The Source Be With You! Articles about Open Source and Free Software as a philosophy, and its application to software development and project management. UPDATED APRIL 8, 2020 To keep this tag clean and meaningful, please ensure your post fits into at least one of the following categories: Organizing, managing, running, or working in an Open Source project. Open Source philosophy, licensing, and/or practical and legal topics thereof. Advocacy and adoption of Open Source philosophy. DO NOT use this tag if you are simply using technologies which happen to be open source. You should NOT use this tag for any of the following: Promoting open source projects, such as feature lists or announcements. (Use #news or Listings.) Contributor requests. (Use #contributorswanted or Listings.) Tutorials/articles that happen to use an open source tool. (Use appropriate technology tags.) Showing off something you've built that happens to be open source. (Use the #showdev tag.) Sharing lists of open source projects. (Use #githunt or the appropriate technology tags.) Projects must comply with the Open Source Definition (see below) to legally use the term "open source". As all "Free Software" officially complies with the standards of Open Source anyway, this tag covers both (collectively, FOSS). Open Source is so much more than "you can read the code". It is formally defined by the Open Source Initiative. "Open Source" should not be confused with the similar Free Software, which is defined by the Free Software Foundation. Generally, all Free Software is also Open Source, and the two camps often cooperate; however, the concepts are distinct! (The tags are merged here on DEV.to for simplicity, however.) Open Source Hardware is defined and overseen by the Open Source Hardware Assocation Posts Your AI Agents Need an Org Chart — But Not the Kind You Think I Built a Package Manager for MCP Servers in One Day How to Give Coding Agents Access to SSH and Databases (Without Breaking Production) How We Added Folders and Tags to Organize Video Libraries 98 Bytes That Prove Your Document Existed I Built a Drum Tuner That Vibrates When You’re Out of Tune I Built a Compose Video Player Library Because ExoPlayer Setup Was Driving Me Crazy AlphaOfTech Daily Brief — 2026-02-21 I Shipped a Broken Consistency Proof Verifier. Here's How I Found Out. Who's hiring — February 2026 I Built 4,882 Self-Healing AI Agents on 8 GB VRAM — Here's the Architecture Aru AI: How I built a personal AI assistant with secure data storage for both kids and adults. My Top 5 Self-Hosted Tools Running on My Home Server via Docker (Part 2) Beyond Words: Building an AI Stress Detector with Wav2Vec 2.0 and PyTorch Why I Built a Release Visibility Layer Instead of Another CI/CD Tool 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails. DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. |
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[SOURCE: https://en.wikipedia.org/wiki/Portuguese_language] | [TOKENS: 8806] |
Contents Portuguese language Portuguese (endonym: português or língua portuguesa) is a Western Romance language of the Indo-European language family originating from the Iberian Peninsula of Europe. It is spoken chiefly in Portugal, in Brazil, and in several African countries, as well as by immigrants in North America, Europe, and South America. With approximately 267 million speakers, it is listed as the fifth-most spoken native language. Portuguese-speaking people or nations are known as Lusophone (lusófono). As a result of expansion during colonial times, a cultural presence of Portuguese speakers is also found around the world. Portuguese is part of the Ibero-Romance group, which evolved from several dialects of Vulgar Latin in the medieval Kingdom of Galicia and the County of Portugal, and has retained some Celtic phonology. Portuguese language structure reflects both its Latin roots and centuries of outside influences. These are seen in phonology, orthography, grammar, and vocabulary. Phonologically, Portuguese has a rich system of nasal vowels, complex consonant variations, and different types of guttural R - as well as other sounds in its European and Brazilian varieties. Its spelling, based similarly to English on the Latin alphabet, is largely phonemic but is influenced by etymology and tradition. Recent spelling reforms have attempted to create a unified spelling for the Portuguese language across all countries that use it. Portuguese grammar retains many Latin verb forms, and possesses several unique features (such as the future subjunctive and the personal infinitive). Its vocabulary is derived largely from Latin, but also includes numerous loanwords [pt] from Celtic, Germanic, Arabic, African, Amerindian, and Asian languages, resulting from historical contact based on wars, trade, and colonization. There is significant variation in the dialects of Portuguese worldwide, with two primary standardized varieties: European Portuguese and Brazilian Portuguese, each one having numerous regional accents and subdialects. African and Asian varieties generally follow the European written standard, though these will often display different phonological, lexical, and sometimes even syntactic features. While there is broad mutual intelligibility among the assorted lusophone population, variation may be observed in speech patterns, vocabulary, or grammar. History When the Romans arrived in the Iberian Peninsula in 216 BC, they brought with them the Latin language, from which all Romance languages are descended. The language was spread by Roman commoners, merchants, and soldiers, who built Roman cities mostly near the settlements of previous Celtic civilizations established long before the Roman arrivals. For that reason, the language has kept a relevant substratum of much older, Atlantic European Megalithic Culture and Celtic culture, part of the Hispano-Celtic group of ancient languages. In Latin, the Portuguese language is known as lusitana or (latina) lusitanica, after the Lusitanians, a pre-Celtic tribe that lived in the territory of present-day Portugal and Spain that adopted the Latin language as Roman settlers moved in. This is also the origin of the luso- prefix, seen in terms like "Lusophone". Between AD 409 and AD 711, as the Roman Empire collapsed in Western Europe, the Iberian Peninsula was conquered by Germanic peoples of the Migration Period. The occupiers, most notably Suebi but also Visigoths and Buri originally spoke Germanic languages. Quickly, they adopted late Roman culture and the Vulgar Latin dialects of the peninsula and over the next 300 years totally integrated into the local population. Some Germanic words from that period are part of the Portuguese lexicon, together with place names, surnames, and first names. With the Umayyad conquest beginning in 711, Arabic became the administrative and common language in the conquered regions, but most of the remaining Christian population continued to speak a form of Ibero-Romance called Mozarabic which introduced a few hundred words from Arabic, Persian, Turkish, and Berber. Like other Neo-Latin and European languages, Portuguese has adopted a significant number of loanwords from Greek, mainly in technical and scientific terminology. These borrowings occurred via Latin, and later during the Middle Ages and the Renaissance. Portuguese evolved from the medieval language spoken in the northwestern medieval Kingdom of Galicia, which the County of Portugal once formed part of. This variety has been retrospectively named Galician–Portuguese, Old Portuguese, or Old Galician by linguists. It is in Latin administrative documents of the 9th century that written Galician–Portuguese words and phrases are first recorded. This phase is known as Proto-Portuguese, which lasted from the 9th century until the 12th-century independence of the County of Portugal from the Kingdom of León, which had by then assumed reign over Galicia. In the first part of the Galician–Portuguese period (from the 12th to the 14th century), the language was increasingly used for documents and other written forms. For some time, it was the language of preference for lyric poetry in Christian Hispania, much as Occitan was the language of the poetry of the troubadours in France. The Occitan digraphs lh and nh, used in its classical orthography, were adopted by the orthography of Portuguese, presumably by Gerald of Braga, a monk from Moissac, who became bishop of Braga in Portugal in 1047, playing a major role in modernizing written Portuguese using classical Occitan norms. Portugal became an independent kingdom in 1139, under King Afonso I of Portugal. In 1290, King Denis of Portugal created the first Portuguese university in Lisbon (the Estudos Gerais, which later moved to Coimbra) and decreed for Portuguese, then simply called the "common language", to be known as the Portuguese language and used officially. In the second period of Old Portuguese, in the 15th and 16th centuries, with the Portuguese discoveries, the language was taken to many regions of Africa, Asia, and the Americas. By the mid-16th century, Portuguese had become a lingua franca in Asia and Africa, used not only for colonial administration and trade but also for communication between local officials and Europeans of all nationalities. The Portuguese expanded across South America, across Africa to the Pacific Ocean, taking their language with them. Its spread was helped by mixed marriages between Portuguese and local people and by its association with Roman Catholic missionary efforts, which led to the formation of creole languages such as that called Kristang in many parts of Asia (from the word cristão, "Christian"). The language continued to be popular in parts of Asia until the 19th century. Some Portuguese-speaking Christian communities in India, Sri Lanka, Malaysia, and Indonesia preserved their language even after they were isolated from Portugal. The end of the Old Portuguese period was marked by the publication of the Cancioneiro Geral by Garcia de Resende, in 1516. The early times of Modern Portuguese, which spans the period from the 16th century to the present day, were characterized by an increase in the number of learned words borrowed from Classical Latin and Classical Greek because of the Renaissance (learned words borrowed from Latin also came from Renaissance Latin, the form of Latin during that time), which greatly enriched the lexicon. Most literate Portuguese speakers were also literate in Latin; and thus they easily adopted Latin words into their writing, and eventually speech, in Portuguese. Spanish author Miguel de Cervantes once called Portuguese "the sweet and gracious language", while the Brazilian poet Olavo Bilac described it as a última flor do Lácio, inculta e bela ("the last flower of Latium, naïve and beautiful"). Portuguese is also termed "the language of Camões", after Luís Vaz de Camões, one of the greatest literary figures in the Portuguese language and author of the Portuguese epic poem The Lusiads. In March 2006, the Museum of the Portuguese Language, an interactive museum about the Portuguese language, was founded in São Paulo, Brazil, the city with the greatest number of Portuguese language speakers in the world. The museum is the first of its kind in the world. In 2015 the museum was partially destroyed in a fire, but restored and reopened in 2020. Geographic distribution Portuguese is spoken by approximately 200 million people in South America, 30 million in Africa, 15 million in Europe, 5 million in North America and 0.33 million in Asia and Oceania. It is the native language of the vast majority of the people in Portugal, Brazil and São Tomé and Príncipe (95%). Around 45% of the population of urban Angola speaks Portuguese natively, with approximately 85% fluent; these rates are lower in the countryside. Just over 50% (and rapidly increasing) of the population of Mozambique are native speakers of Portuguese, and 70% are fluent, according to the 2007 census. Portuguese is also spoken natively by 30% of the population in Guinea-Bissau, and a Portuguese-based creole is understood by all. Almost 50% of the East Timorese are fluent in Portuguese. No data is available for Cape Verde, but almost all the population is bilingual, and the monolingual population speaks the Portuguese-based Cape Verdean Creole. Portuguese is mentioned in the Constitution of South Africa as one of the languages spoken by communities within the country for which the Pan South African Language Board was charged with promoting and ensuring respect. There are also significant Portuguese-speaking immigrant communities in many territories including Andorra (17.1%), Bermuda, Canada (400,275 people in the 2006 census), France (1,625,000 people), Japan (400,000 people), Jersey, Luxembourg (about 25% of the population as of 2021), Namibia (about 4–5% of the population, mainly refugees from Angola in the north of the country), Paraguay (10.7% or 636,000 people), Switzerland (550,000 in 2019, learning + mother tongue), Venezuela (554,000), and the United States (0.35% of the population or 1,228,126 speakers according to the 2007 American Community Survey). In some parts of former Portuguese India, namely Goa and Daman and Diu, the language is still spoken by about 10,000 people. In 2014, an estimated 1,500 students were learning Portuguese in Goa. Approximately 2% of the people of Macau, China are fluent speakers of Portuguese. Additionally, the language is being very actively studied in the Chinese school system right up to the doctorate level. The Kristang people in Malaysia speak Kristang, a Portuguese-Malay creole; however, the Portuguese language itself is not widely spoken in the country. The Community of Portuguese Language Countries (in Portuguese Comunidade dos Países de Língua Portuguesa, with the Portuguese acronym CPLP) consists of the nine independent countries that have Portuguese as an official language: Angola, Brazil, Cape Verde, East Timor, Equatorial Guinea, Guinea-Bissau, Mozambique, Portugal and São Tomé and Príncipe. Equatorial Guinea made a formal application for full membership to the CPLP in June 2010, a status given only to states with Portuguese as an official language. Portuguese became its third official language (besides Spanish and French) in 2011, and in July 2014, the country was accepted as a member of the CPLP. Portuguese is also one of the official languages of the Special Administrative Region of the People's Republic of China of Macau (alongside Chinese) and of several international organizations, including Mercosul, the Organization of Ibero-American States, the Union of South American Nations, the Organization of American States, the African Union, the Economic Community of West African States, the Southern African Development Community and the European Union. According to The World Factbook's country population estimates for 2018, the population of each of the ten jurisdictions is as follows (by descending order): The combined population of the entire Lusophone area was estimated at 300 million in January 2022. This number does not include the Lusophone diaspora, estimated at 10 million people (including 4.5 million Portuguese, 3 million Brazilians), although there are no official accurate figures for diasporic Portuguese speakers because a significant portion of these citizens are naturalized citizens born outside of Lusophone territory or are children of immigrants, and may have only a basic command of the language. Additionally, a large part of the diaspora is a part of the already-counted population of the Portuguese-speaking countries and territories, such as the high number of Brazilian and PALOP emigrant citizens in Portugal or the high number of Portuguese emigrant citizens in the PALOP and Brazil. The Portuguese language therefore serves more than 250 million people daily, who have direct or indirect legal, juridical and social contact with it, varying from the only language used in any contact, to only education, contact with local or international administration, commerce and services or the simple sight of road signs, public information and advertising in Portuguese. Portuguese is a mandatory subject in the school curriculum in Uruguay. Other countries where Portuguese is commonly taught in schools or where it has been introduced as an option include Venezuela, Zambia, the Republic of the Congo, Senegal, Namibia, Eswatini, South Africa, Ivory Coast, and Mauritius. In 2017, a project was launched to introduce Portuguese as a school subject in Zimbabwe. Also, according to Portugal's Minister of Foreign Affairs, the language will be part of the school curriculum of a total of 32 countries by 2020. In such countries, Portuguese is spoken either as a native language by vast majorities due to their Portuguese colonial past or as a lingua franca in bordering and multilingual regions, such as on the Brazilian borders of Uruguay and Paraguay and in regions of Angola and Namibia. In many other countries, Portuguese is spoken by majorities as a second language. There remain communities of thousands of Portuguese (or Creole) first language speakers in Goa, Sri Lanka, Kuala Lumpur, Daman and Diu, and other areas due to Portuguese colonization. In East Timor, the number of Portuguese speakers is quickly increasing as Portuguese and Brazilian teachers are making great strides in teaching Portuguese in the schools all over the island. Additionally, there are many large Portuguese-speaking immigrant communities all over the world. According to estimates by UNESCO, Portuguese is the fastest-growing European language after English and the language has, according to the newspaper The Portugal News publishing data given from UNESCO, the highest potential for growth as an international language in southern Africa and South America. Portuguese is a globalized language spoken officially on five continents, and as a second language by millions worldwide. Since 1991, when Brazil signed into the economic community of Mercosul with other South American nations, namely Argentina, Uruguay and Paraguay, Portuguese is either mandatory, or taught, in the schools of those South American countries. Although early in the 21st century, after Macau was returned to China and immigration of Brazilians of Japanese descent to Japan slowed down, the use of Portuguese was in decline in Asia, it is once again becoming a language of opportunity there, mostly because of increased diplomatic and financial ties with economically powerful Portuguese-speaking countries in the world. Portuguese, being a language spread on all continents, has official status in several international organizations. It is one of twenty official languages of the European Union, an official language of NATO, the Organization of American States (alongside Spanish, French and English), and one of eighteen official languages of the European Space Agency. Portuguese is a working language in nonprofit organisations such as the Red Cross (alongside English, German, Spanish, French, Arabic and Russian), Amnesty International (alongside 32 other languages of which English is the most used, followed by Spanish, French, German, and Italian), and Médecins sans Frontières (used alongside English, Spanish, French and Arabic), in addition to being the official legal language in the African Court on Human and Peoples' Rights, also in Community of Portuguese Language Countries, an international organization formed essentially by lusophone countries. Linguistic demography With approximately 250 million native speakers and 17 million second language speakers, Portuguese has approximately 267 million total speakers. It is usually listed as the fifth-most spoken native language, the third-most spoken European language in the world in terms of native speakers and the second-most spoken Romance language in the world, surpassed only by Spanish. Being the first most widely spoken language in South America and the most-spoken language in the Southern Hemisphere, it is also the second-most spoken language, after Spanish, in Latin America, one of the 10 most spoken languages in Africa, and an official language of the European Union, Mercosul, the Organization of American States, the Economic Community of West African States, the African Union, and the Community of Portuguese Language Countries, an international organization made up of all of the world's officially Lusophone nations. In 1997, a comprehensive academic study ranked Portuguese as one of the 10 most influential languages in the world. Classification and related languages Portuguese belongs to the West Iberian branch of the Romance languages, and it has special ties with the following members of this group: Portuguese and other Romance languages (namely French and Italian) share considerable similarities in both vocabulary and grammar. Portuguese speakers will usually need some formal study before attaining strong comprehension in those Romance languages, and vice versa. However, Portuguese and Galician are fully mutually intelligible. Spanish is relatively intelligible for lusophones, owing to their geographic proximity and history as West Iberian (Ibero-Romance languages), historical contact between speakers and mutual influence, shared areal features as well as modern lexical, structural, and grammatical similarity (over 85%) between them. Many young Portuguese speakers however, will often choose English as the lingua-franca of choice, with Spanish, French, Italian, other Europeans, and speakers of other languages. Over 97% of 18 to 24 year olds in Portugal speak a second language fluently, 95% of those have English as L2, some 33.7% speak French, 23% German, and 14% Spanish. Portuñol/Portunhol, a form of code-switching, has a lively use and is mentioned in popular culture in South America. Said code-switching is not to be confused with the Portuguese varieties spoken on the borders of Brazil with Uruguay (dialeto do pampa) and Paraguay (dialeto dos brasiguaios), and of Portugal with Spain (barranquenho), that are Portuguese dialects spoken natively by thousands of people, which have been heavily influenced by Spanish. Portuguese and Spanish are the only Ibero-Romance languages, and perhaps the only Romance languages in Latin-America, with such thriving inter-language forms, in which visible and lively bilingual contact dialects and code-switching have formed, in which functional bilingual communication is achieved through attempting an approximation to the target foreign language (known as 'Portuñol') without a learned acquisition process, but nevertheless facilitates communication. There is an emerging literature focused on such phenomena in South America (including informal attempts of standardization of the linguistic continua and their usage). The closest relative of Portuguese is Galician, which is spoken in the autonomous community and historical nationality of Galicia (Spain). The two were part of a common dialect continuum during the Middle Ages, known today as Galician–Portuguese, but they have diverged especially in pronunciation and vocabulary due to the political separation of Portugal from Galicia. There is, however, still a linguistic continuity consisting of the variant of Galician referred to as galego-português baixo-limiao, which is spoken in several Galician and Portuguese villages within the transboundary biosphere reserve of Gerês-Xurés. It is "considered a rarity, a living vestige of the medieval language that ranged from Cantabria to Mondego [...]". As reported by UNESCO, due to the pressure of Spanish on the standard official version of Galician and centuries-old Castilianization, the Galician language was on the verge of disappearing. According to the UNESCO philologist Tapani Salminen, the proximity to Portuguese protects Galician. The core vocabulary and grammar of Galician are noticeably closer to Portuguese than to those of Spanish. Within the EU, Galician, while not being a European Parliament official language, can be used and is in fact used by some European Parliament constituents due to its similarity with Portuguese. Galician like Portuguese, uses the future subjunctive, the personal infinitive, and the synthetic pluperfect. Mutual intelligibility estimated at 85% is excellent between Galicians and Portuguese. Despite political efforts in Spain to define them as separate languages, many linguists consider Galician and Portuguese to be co-dialects of the same language with regional variations. Another member of the Galician–Portuguese group, most commonly thought of as a Galician dialect, is spoken in the Eonavian region in a western strip in Asturias and the westernmost parts of the provinces of León and Zamora, along the frontier with Galicia, between the Eo and Navia rivers (or more exactly Eo and Frexulfe rivers). It is called eonaviego or gallego-asturiano by its speakers. The Fala language, known by its speakers as xalimés, mañegu, a fala de Xálima and chapurráu and in Portuguese as a fala de Xálima, a fala da Estremadura, o galego da Estremadura, valego or galaico-estremenho, is another descendant of Galician–Portuguese, spoken by a small number of people in the Spanish towns of Valverde del Fresno (Valverdi du Fresnu), Eljas (As Ellas) and San Martín de Trevejo (Sa Martín de Trevellu) in the autonomous community of Extremadura, near the border with Portugal. There are a number of other places in Spain in which the native language of the common people is a descendant of the Galician–Portuguese group, such as La Alamedilla, Cedillo (Cedilho), Herrera de Alcántara (Ferreira d'Alcântara) and Olivenza (Olivença), but in these municipalities, what is spoken is actually Portuguese, not disputed as such in the mainstream. The diversity of dialects of the Portuguese language is known since the time of medieval Portuguese-Galician language when it coexisted with the Lusitanian-Mozarabic dialect, spoken in the south of Portugal. The dialectal diversity becomes more evident in the work of Fernão d'Oliveira, in the Grammatica da Lingoagem Portuguesa, (1536), where he remarks that the people of Portuguese regions of Beira, Alentejo, Estremadura, and Entre Douro e Minho, all speak differently from each other. Also Contador d'Argote (1725) distinguishes three main varieties of dialects: the local dialects, the dialects of time, and of profession (work jargon). Of local dialects he highlights five main dialects: the dialect of Estremadura, of Entre-Douro e Minho, of Beira, of Algarve and of Trás-os-Montes. He also makes reference to the overseas dialects, the rustic dialects, the poetic dialect and that of prose.[citation needed] In the kingdom of Portugal, Ladinho (or Lingoagem Ladinha) was the name given to the pure Portuguese romance language, without any mixture of Aravia or Gerigonça Judenga. While the term língua vulgar was used to name the language before D. Dinis decided to call it "Portuguese language", the erudite version used and known as Galician–Portuguese (the language of the Portuguese court) and all other Portuguese dialects were spoken at the same time. In a historical perspective the Portuguese language was never just one dialect. Just like today there is a standard Portuguese (actually two) among the several dialects of Portuguese, in the past there was Galician–Portuguese as the "standard", coexisting with other dialects. Portuguese has provided loanwords to many languages, such as Indonesian, Manado Malay, Malayalam, Sri Lankan Tamil and Sinhala, Malay, Bengali, English, Hindi, Swahili, Afrikaans, Konkani, Marathi, Punjabi, Tetum, Xitsonga, Japanese, Lanc-Patuá, Esan, Bandari (spoken in Iran) and Sranan Tongo (spoken in Suriname). It left a strong influence on the língua brasílica, a Tupi–Guarani language, which was the most widely spoken in Brazil until the 18th century, and on the language spoken around Sikka in Flores Island, Indonesia. In nearby Larantuka, Portuguese is used for prayers in Holy Week rituals. The Japanese–Portuguese dictionary Nippo Jisho (1603) was the first dictionary of Japanese in a European language, a product of Jesuit missionary activity in Japan. Building on the work of earlier Portuguese missionaries, the Dictionarium Anamiticum, Lusitanum et Latinum (Annamite–Portuguese–Latin dictionary) of Alexandre de Rhodes (1651) introduced the modern orthography of Vietnamese, which is based on the orthography of 17th-century Portuguese. The Romanization of Chinese was also influenced by the Portuguese language (among others), particularly regarding Chinese surnames; one example is Mei. During 1583–88 Italian Jesuits Michele Ruggieri and Matteo Ricci created a Portuguese–Chinese dictionary – the first ever European–Chinese dictionary. For instance, as Portuguese merchants were presumably the first to introduce the sweet orange in Europe, in several modern Indo-European languages the fruit has been named after them. Some examples are Albanian portokall, Bosnian (archaic) portokal, prtokal, Bulgarian портокал (portokal), Greek πορτοκάλι (portokáli), Macedonian portokal, Persian پرتقال (porteghal), and Romanian portocală. Related names can be found in other languages, such as Arabic البرتقال (burtuqāl), Georgian ფორთოხალი (p'ort'oxali), Turkish portakal and Amharic birtukan. Also, in southern Italian dialects (e.g. Neapolitan), an orange is portogallo or purtuallo, literally "(the) Portuguese (one)", in contrast to standard Italian arancia. Beginning in the 16th century, the extensive contacts between Portuguese travelers and settlers, African and Asian slaves, and local populations led to the appearance of many pidgins with varying amounts of Portuguese influence. As each of these pidgins became the mother tongue of succeeding generations, they evolved into fully fledged creole languages, which remained in use in many parts of Asia, Africa and South America until the 18th century. Some Portuguese-based or Portuguese-influenced creoles are still spoken today, namely Cape Verdean Creole and Papiamento. Portuguese-based creoles are spoken by over three million people worldwide, especially people of partial Portuguese ancestry. Language structure Portuguese phonology is similar to those of languages such as Franco-Provençal and Catalan, whereas that of Spanish is similar to those of Sardinian and the Southern Italian dialects. Some would describe the phonology of Portuguese as a blend of Spanish, Gallo-Romance (e.g. French) and the languages of northern Italy (especially Genoese). Portuguese can have as many as nine oral vowels, as many as two semivowels, and as many as 21 consonants; some varieties of the language have fewer phonemes. There are also five nasal vowels, which some linguists regard as allophones of oral vowels.[citation needed] Galician–Portuguese developed in the region of the former Roman province of Gallaecia, from the Vulgar Latin (common Latin) that had been introduced by Roman soldiers, colonists and magistrates during the time of the Roman Empire. Although the process may have been slower than in other regions, after a period of bilingualism, the centuries of contact with Vulgar Latin completely extinguished the native languages, and a variety of Latin with a few Gallaecian features evolved. Gallaecian and Lusitanian influences were absorbed into the local dialect of Vulgar Latin; this can be detected in some Galician–Portuguese words, as well as in placenames of Celtic and Iberian origin. An early form of Galician–Portuguese was already spoken in the Kingdom of the Suebi, and by the year 800 Galician–Portuguese had already become the vernacular of northwestern Iberia. The first known phonetic changes in Vulgar Latin, which began the evolution to Galician–Portuguese, took place during the rule of the Germanic groups, the Suebi (411–585) and Visigoths (585–711). The Galician–Portuguese "inflected infinitive" (or "personal infinitive") and the nasal vowels may have evolved under the influence of local Celtic (as in Old French). The nasal vowels would thus be a phonologic characteristic of the Vulgar Latin spoken in Roman Gallaecia, but they are not attested in writing until after the 6th and 7th centuries. Like Catalan and German, Portuguese uses vowel quality to contrast stressed syllables with unstressed syllables. Unstressed isolated vowels tend to be raised and sometimes centralized. Phonetic notes Portuguese orthography is based on the Latin alphabet and makes use of the acute accent, the circumflex accent, the grave accent, the tilde, and the cedilla to denote stress, vowel height, nasalization, and other sound changes. The diaeresis was abolished by the last Orthography Agreement. Accented letters and digraphs are not counted as separate characters for collation purposes. The spelling of Portuguese is largely phonemic, but some phonemes can be spelled in more than one way. In ambiguous cases, the correct spelling is determined through a combination of etymology with morphology and tradition; so there is not a perfect one-to-one correspondence between sounds and letters or digraphs. Knowing the main inflectional paradigms of Portuguese and being acquainted with the orthography of other Western European languages can be helpful. A notable aspect of the grammar of Portuguese is the verb. Morphologically, more verbal inflections from classical Latin have been preserved by Portuguese than by any other major Romance language. Portuguese and Spanish share very similar grammar, vocabulary and sentence structure. Portuguese also has some grammatical innovations not found in other Romance languages (except Galician and Fala): Most of the lexicon of Portuguese is derived, directly or through other Romance languages, from Latin. Nevertheless, because of its original Lusitanian and Celtic Gallaecian heritage, and the later participation of Portugal in the Age of Discovery, it has a relevant number of words from the ancient Hispano-Celtic group and adopted loanwords from other languages around the world. A number of Portuguese words can still be traced to the pre-Roman inhabitants of Portugal, which included the Gallaeci, Lusitanians, Celtici and Cynetes. Most of these words derived from the Hispano-Celtic Gallaecian language of northwestern Iberia, and are very often shared with Galician since both languages have the same origin in the medieval language of Galician–Portuguese. A few of these words existed in Latin as loanwords from other Celtic sources, often Gaulish. Altogether these are over 3,000 words, verbs, toponymic names of towns, rivers, surnames, tools, lexicon linked to rural life and natural world. In the 5th century, the Iberian Peninsula (the Roman Hispania) was conquered by the Germanic, Suebi and Visigoths. As they adopted the Roman civilization and language, however, these people contributed with some 500 Germanic words to the lexicon. Many of these words are related to: The Germanic languages influence also exists in toponymic surnames and patronymic surnames borne by Visigoth sovereigns and their descendants, and it dwells on placenames such as Ermesinde, Esposende and Resende where sinde and sende are derived from the Germanic sinths ('military expedition') and in the case of Resende, the prefix re comes from Germanic reths ('council'). Other examples of Portuguese names, surnames and town names of Germanic toponymic origin include Henrique, Henriques, Vermoim, Mandim, Calquim, Baguim, Gemunde, Guetim, Sermonde and many more, are quite common mainly in the old Suebi and later Visigothic dominated regions, covering today's Northern half of Portugal and Galicia. Between the 9th and early 13th centuries, Portuguese acquired some 400 to 600 words from Arabic by influence of Moorish Iberia. They are often recognizable by the initial Arabic article a(l)-, and include common words such as aldeia ('village') from الضيعة aḍ-ḍayʿa, alface ('lettuce') from الخسة al-khassa, armazém ('warehouse') from المخزن al-makhzan, and azeite ('olive oil') from الزيت az-zayt. Starting in the 15th century, the Portuguese maritime explorations led to the introduction of many loanwords from Asian languages. For instance, catana ('cutlass') from Japanese katana, chá ('tea') from Chinese chá, and canja ('chicken-soup, piece of cake') from Malay. From the 16th to the 19th centuries, because of the role of Portugal as intermediary in the Atlantic slave trade, and the establishment of large Portuguese colonies in Angola, Mozambique, and Brazil, Portuguese acquired several words of African and Amerind origin, especially names for most of the animals and plants found in those territories. While those terms are mostly used in the former colonies, many became current in European Portuguese as well. From Kimbundu, for example, came kifumate > cafuné ('head caress') (Brazil), kusula > caçula ('youngest child') (Brazil), marimbondo ('tropical wasp') (Brazil), and kubungula > bungular ('to dance like a wizard') (Angola). From South America came batata ('potato'), from Taino; ananás and abacaxi, from Tupi–Guarani naná and Tupi ibá cati, respectively (two species of pineapple), and pipoca ('popcorn') from Tupi and tucano ('toucan') from Guarani tucan. Finally, it has received a steady influx of loanwords from other European languages, especially French and English. These are by far the most important languages when referring to loanwords. There are many examples such as: colchete/crochê ('bracket'/'crochet'), paletó ('jacket'), batom ('lipstick'), and filé/filete ('steak'/'slice'), rua ('street'), respectively, from French crochet, paletot, bâton, filet, rue; and bife ('steak'), futebol, revólver, stock/estoque, folclore, from English "beef", "football", "revolver", "stock", "folklore". Examples from other European languages: macarrão ('pasta'), piloto ('pilot'), carroça ('carriage'), and barraca ('barrack'), from Italian maccherone, pilota, carrozza, and baracca; melena ('hair lock'), fiambre ('wet-cured ham') (in Portugal, in contrast with presunto 'dry-cured ham' from Latin prae-exsuctus 'dehydrated') or ('canned ham') (in Brazil, in contrast with non-canned, wet-cured (presunto cozido) and dry-cured (presunto cru)), or castelhano ('Castilian'), from Spanish melena ('mane'), fiambre and castellano. Dialects, accents and varieties Modern Standard European Portuguese (português padrão or português continental) is based on the Portuguese spoken in the area including and surrounding the cities of Coimbra and Lisbon, in central Portugal. Standard European Portuguese is also the preferred standard by the Portuguese-speaking African countries. As such, and despite the fact that its speakers are dispersed around the world, Portuguese has only two dialects used for learning: the European and the Brazilian. Some aspects and sounds found in many dialects of Brazil are exclusive to South America, and cannot be found in Europe. The same occur with the Santomean, Mozambican, Bissau-Guinean, Angolan and Cape Verdean dialects, being exclusive to Africa. See Portuguese in Africa. Audio samples of some dialects and accents of Portuguese are available below. There are some differences between the areas but these are the best approximations possible. IPA transcriptions refer to the names in local pronunciation. Audio samples of some dialects and accents of Portuguese are available below. There are some differences between the areas but these are the best approximations possible. IPA transcriptions refer to the names in local pronunciation. Você, a pronoun meaning "you", is used for educated, formal, and colloquial respectful speech in most Portuguese-speaking regions. In a few Brazilian states such as Rio Grande do Sul, Pará, among others, você is virtually absent from the spoken language. Riograndense and European Portuguese normally distinguishes formal from informal speech by verbal conjugation. Informal speech employs tu followed by second person verbs, formal language retains the formal você, followed by the third person conjugation. Conjugation of verbs in tu has three different forms in Brazil (verb "to see": tu viste?, in the traditional second person; tu viu?, in the third person; and tu visse?, in the innovative second person), the conjugation used in the Brazilian states of Pará, Santa Catarina and Maranhão being generally traditional second person, the kind that is used in other Portuguese-speaking countries and learned in Brazilian schools. The predominance of Southeastern-based media products has established você as the pronoun of choice for the second person singular in both writing and multimedia communications. However, in the city of Rio de Janeiro, the country's main cultural center, the usage of tu has been expanding ever since the end of the 20th century, being most frequent among youngsters, and a number of studies have also shown an increase in its use in a number of other Brazilian dialects. Differences between dialects are mostly of accent and vocabulary, but between the Brazilian dialects and other dialects, especially in their most colloquial forms, there can also be some grammatical differences. The Portuguese-based creoles spoken in various parts of Africa, Asia, and the Americas are independent languages. Portuguese, like Catalan, preserves the stressed vowels of Vulgar Latin which became diphthongs in most other Romance languages; cf. Port., Cat., Sard. pedra; Fr. pierre, Sp. piedra, It. pietra, Ro. piatră, from Lat. petra ("stone"); or Port. fogo, Cat. foc, Sard. fogu; Sp. fuego, It. fuoco, Fr. feu, Ro. foc, from Lat. focus ("fire"). Another characteristic of early Portuguese was the loss of intervocalic l and n, sometimes followed by the merger of the two surrounding vowels, or by the insertion of an epenthetic vowel between them: cf. Lat. salire ("to exit"), tenere ("to have"), catena ("jail"), Port. sair, ter, cadeia. When the elided consonant was n, it often nasalized the preceding vowel: cf. Lat. manum ("hand"), ranam ("frog"), bonum ("good"), Old Portuguese mão, rãa, bõo (Portuguese: mão, rã, bom). This process was the source of most of the language's distinctive nasal diphthongs. In particular, the Latin endings -anem, -anum and -onem became -ão in most cases, cf. Lat. canis ("dog"), germanus ("brother"), ratio ("reason") with Modern Port. cão, irmão, razão, and their plurals -anes, -anos, -ones normally became -ães, -ãos, -ões, cf. cães, irmãos, razões. This also occurs in the minority Swiss Romansh language in many equivalent words such as maun ("hand"), bun ("good"), or chaun ("dog"). The Portuguese language is the only Romance language that preserves the clitic case mesoclisis: cf. dar-te-ei (I'll give thee), amar-te-ei (I'll love you), contactá-los-ei (I'll contact them). Like Galician, it also retains the Latin synthetic pluperfect tense: eu estivera (I had been), eu vivera (I had lived), vós vivêreis (you had lived). Romanian also has this tense, but uses the -s- form. Sample text Article 1 of the Universal Declaration of Human Rights in Portuguese: Article 1 of the Universal Declaration of Human Rights in English: Phonetic transcription (Brazilian Portuguese): Phonetic transcription (European Portuguese): See also References External links |
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DEV Community React Official tag for Facebook's React JavaScript library for building user interfaces 1️⃣ Post Facebook's React ⚛ related posts/questions/discussion topics here~ 2️⃣ There are no silly posts or questions as we all learn from each other👩🎓👨🎓 3️⃣ Adhere to dev.to 👩💻👨💻Code of Conduct React is a declarative, component-based library, you can learn once, and write anywhere Editor Guide Check out this Editor Guide or this post to learn how to add code syntax highlights, embed CodeSandbox/Codepen, etc Official Documentations & Source Improving Your Chances for a Reply by putting a minimal example to either JSFiddle, Code Sandbox, or StackBlitz. Describe what you want it to do, and things you've tried. Don't just post big blocks of code! Where else to ask questions Note: a new "Beginner's Thread" created as sticky post on the first day of each month Learn in Public Don't afraid to post an article or being wrong. Learn in public. Posts My First React Project (Without Tutorials) How We Added Folders and Tags to Organize Video Libraries Build Documentation Engine in Typescript which should be a framework independent(ReactJS). Elevating the Portfolio: A Deep Dive into Recent Enhancements Making SVGs Customizable with CSS in Next.js (2026) This Week In React #269 : State of React, TanStack, Next.js | Hermes, Sparkling, Yoga | Interop, Electrobun, Module Federation Day 19 of #100DaysOfCode — Building a Tour App (Part 1) How to Build a Research Assistant using Deep Agents 9+ Best Free Shadcn Date Picker Components for React and Next.js in 2026 Why Your React Keyboard Handler Always Reads Old State A Guide to Multi-Server MCP with React & FastMCP How We Added Dark Mode (and Light Mode) to SendRec Stacking Multiple Dialogs in React Without Hooks or Effects I built a minimal company profile template because I was tired of colorful noise Build 4 React Apps: Responsive Business Card to Christmas Wish List 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails. DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. |
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Contents Python (programming language) Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language. Python 3.0, released in 2008, was a major revision and not completely backward-compatible with earlier versions. Beginning with Python 3.5, capabilities and keywords for typing were added to the language, allowing optional static typing. As of 2026[update], the Python Software Foundation supports Python 3.10, 3.11, 3.12, 3.13, and 3.14, following the project's annual release cycle and five-year support policy. Python 3.15 is currently in the alpha development phase, and the stable release is expected to come out in October 2026. Earlier versions in the 3.x series have reached end-of-life and no longer receive security updates. Python has gained widespread use in the machine learning community. It is widely taught as an introductory programming language. Since 2003, Python has consistently ranked in the top ten of the most popular programming languages in the TIOBE Programming Community Index, which ranks based on searches in 24 platforms. History Python was conceived in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands. It was designed as a successor to the ABC programming language, which was inspired by SETL, capable of exception handling and interfacing with the Amoeba operating system. Python implementation began in December 1989. Van Rossum first released it in 1991 as Python 0.9.0. Van Rossum assumed sole responsibility for the project, as the lead developer, until 12 July 2018, when he announced his "permanent vacation" from responsibilities as Python's "benevolent dictator for life" (BDFL); this title was bestowed on him by the Python community to reflect his long-term commitment as the project's chief decision-maker. (He has since come out of retirement and is self-titled "BDFL-emeritus".) In January 2019, active Python core developers elected a five-member Steering Council to lead the project. The name Python derives from the British comedy series Monty Python's Flying Circus. (See § Naming.) Python 2.0 was released on 16 October 2000, featuring many new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 2.7's end-of-life was initially set for 2015, and then postponed to 2020 out of concern that a large body of existing code could not easily be forward-ported to Python 3. It no longer receives security patches or updates. While Python 2.7 and older versions are officially unsupported, a different unofficial Python implementation, PyPy, continues to support Python 2, i.e., "2.7.18+" (plus 3.11), with the plus signifying (at least some) "backported security updates". Python 3.0 was released on 3 December 2008, and was a major revision and not completely backward-compatible with earlier versions, with some new semantics and changed syntax. Python 2.7.18, released in 2020, was the last release of Python 2. Several releases in the Python 3.x series have added new syntax to the language, and made a few (considered very minor) backward-incompatible changes. As of January 2026[update], Python 3.14.3 is the latest stable release. All older 3.x versions had a security update down to Python 3.9.24 then again with 3.9.25, the final version in 3.9 series. Python 3.10 is, since November 2025, the oldest supported branch. Python 3.15 has an alpha released, and Android has an official downloadable executable available for Python 3.14. Releases receive two years of full support followed by three years of security support. Design philosophy and features Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming – including metaprogramming and metaobjects. Many other paradigms are supported via extensions, including design by contract and logic programming. Python is often referred to as a 'glue language' because it is purposely designed to be able to integrate components written in other languages. Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management. It uses dynamic name resolution (late binding), which binds method and variable names during program execution. Python's design offers some support for functional programming in the "Lisp tradition". It has filter, map, and reduce functions; list comprehensions, dictionaries, sets, and generator expressions. The standard library has two modules (itertools and functools) that implement functional tools borrowed from Haskell and Standard ML. Python's core philosophy is summarized in the Zen of Python (PEP 20) written by Tim Peters, which includes aphorisms such as these: However, Python has received criticism for violating these principles and adding unnecessary language bloat. Responses to these criticisms note that the Zen of Python is a guideline rather than a rule. The addition of some new features had been controversial: Guido van Rossum resigned as Benevolent Dictator for Life after conflict about adding the assignment expression operator in Python 3.8. Nevertheless, rather than building all functionality into its core, Python was designed to be highly extensible via modules. This compact modularity has made it particularly popular as a means of adding programmable interfaces to existing applications. Van Rossum's vision of a small core language with a large standard library and easily extensible interpreter stemmed from his frustrations with ABC, which represented the opposite approach. Python claims to strive for a simpler, less-cluttered syntax and grammar, while giving developers a choice in their coding methodology. Python lacks do .. while loops, which Rossum considered harmful. In contrast to Perl's motto "there is more than one way to do it", Python advocates an approach where "there should be one – and preferably only one – obvious way to do it". In practice, however, Python provides many ways to achieve a given goal. There are at least three ways to format a string literal, with no certainty as to which one a programmer should use. Alex Martelli is a Fellow at the Python Software Foundation and Python book author; he wrote that "To describe something as 'clever' is not considered a compliment in the Python culture." Python's developers typically prioritize readability over performance. For example, they reject patches to non-critical parts of the CPython reference implementation that would offer increases in speed that do not justify the cost of clarity and readability.[failed verification] Execution speed can be improved by moving speed-critical functions to extension modules written in languages such as C, or by using a just-in-time compiler like PyPy. Also, it is possible to transpile to other languages. However, this approach either fails to achieve the expected speed-up, since Python is a very dynamic language, or only a restricted subset of Python is compiled (with potential minor semantic changes). Python is meant to be a fun language to use. This goal is reflected in the name – a tribute to the British comedy group Monty Python – and in playful approaches to some tutorials and reference materials. For instance, some code examples use the terms "spam" and "eggs" (in reference to a Monty Python sketch), rather than the typical terms "foo" and "bar". A common neologism in the Python community is pythonic, which has a broad range of meanings related to program style: Pythonic code may use Python idioms well; be natural or show fluency in the language; or conform with Python's minimalist philosophy and emphasis on readability. Syntax and semantics Python is meant to be an easily readable language. Its formatting is visually uncluttered and often uses English keywords where other languages use punctuation. Unlike many other languages, it does not use curly brackets to delimit blocks, and semicolons after statements are allowed but rarely used. It has fewer syntactic exceptions and special cases than C or Pascal. Python uses whitespace indentation, rather than curly brackets or keywords, to delimit blocks. An increase in indentation comes after certain statements; a decrease in indentation signifies the end of the current block. Thus, the program's visual structure accurately represents its semantic structure. This feature is sometimes termed the off-side rule. Some other languages use indentation this way; but in most, indentation has no semantic meaning. The recommended indent size is four spaces. Python's statements include the following: The assignment statement (=) binds a name as a reference to a separate, dynamically allocated object. Variables may subsequently be rebound at any time to any object. In Python, a variable name is a generic reference holder without a fixed data type; however, it always refers to some object with a type. This is called dynamic typing—in contrast to statically-typed languages, where each variable may contain only a value of a certain type. Python does not support tail call optimization or first-class continuations; according to Van Rossum, the language never will. However, better support for coroutine-like functionality is provided by extending Python's generators. Before 2.5, generators were lazy iterators; data was passed unidirectionally out of the generator. From Python 2.5 on, it is possible to pass data back into a generator function; and from version 3.3, data can be passed through multiple stack levels. Python's expressions include the following: In Python, a distinction between expressions and statements is rigidly enforced, in contrast to languages such as Common Lisp, Scheme, or Ruby. This distinction leads to duplicating some functionality, for example: A statement cannot be part of an expression; because of this restriction, expressions such as list and dict comprehensions (and lambda expressions) cannot contain statements. As a particular case, an assignment statement such as a = 1 cannot be part of the conditional expression of a conditional statement. Python uses duck typing, and it has typed objects but untyped variable names. Type constraints are not checked at definition time; rather, operations on an object may fail at usage time, indicating that the object is not of an appropriate type. Despite being dynamically typed, Python is strongly typed, forbidding operations that are poorly defined (e.g., adding a number and a string) rather than quietly attempting to interpret them. Python allows programmers to define their own types using classes, most often for object-oriented programming. New instances of classes are constructed by calling the class, for example, SpamClass() or EggsClass()); the classes are instances of the metaclass type (which is an instance of itself), thereby allowing metaprogramming and reflection. Before version 3.0, Python had two kinds of classes, both using the same syntax: old-style and new-style. Current Python versions support the semantics of only the new style. Python supports optional type annotations. These annotations are not enforced by the language, but may be used by external tools such as mypy to catch errors. Python includes a module typing including several type names for type annotations. Also, mypy supports a Python compiler called mypyc, which leverages type annotations for optimization. 1.33333 frozenset() Python includes conventional symbols for arithmetic operators (+, -, *, /), the floor-division operator //, and the modulo operator %. (With the modulo operator, a remainder can be negative, e.g., 4 % -3 == -2.) Also, Python offers the ** symbol for exponentiation, e.g. 5**3 == 125 and 9**0.5 == 3.0. Also, it offers the matrix‑multiplication operator @ . These operators work as in traditional mathematics; with the same precedence rules, the infix operators + and - can also be unary, to represent positive and negative numbers respectively. Division between integers produces floating-point results. The behavior of division has changed significantly over time: In Python terms, the / operator represents true division (or simply division), while the // operator represents floor division. Before version 3.0, the / operator represents classic division. Rounding towards negative infinity, though a different method than in most languages, adds consistency to Python. For instance, this rounding implies that the equation (a + b)//b == a//b + 1 is always true. Also, the rounding implies that the equation b*(a//b) + a%b == a is valid for both positive and negative values of a. As expected, the result of a%b lies in the half-open interval [0, b), where b is a positive integer; however, maintaining the validity of the equation requires that the result must lie in the interval (b, 0] when b is negative. Python provides a round function for rounding a float to the nearest integer. For tie-breaking, Python 3 uses the round to even method: round(1.5) and round(2.5) both produce 2. Python versions before 3 used the round-away-from-zero method: round(0.5) is 1.0, and round(-0.5) is −1.0. Python allows Boolean expressions that contain multiple equality relations to be consistent with general usage in mathematics. For example, the expression a < b < c tests whether a is less than b and b is less than c. C-derived languages interpret this expression differently: in C, the expression would first evaluate a < b, resulting in 0 or 1, and that result would then be compared with c. Python uses arbitrary-precision arithmetic for all integer operations. The Decimal type/class in the decimal module provides decimal floating-point numbers to a pre-defined arbitrary precision with several rounding modes. The Fraction class in the fractions module provides arbitrary precision for rational numbers. Due to Python's extensive mathematics library and the third-party library NumPy, the language is frequently used for scientific scripting in tasks such as numerical data processing and manipulation. Functions are created in Python by using the def keyword. A function is defined similarly to how it is called, by first providing the function name and then the required parameters. Here is an example of a function that prints its inputs: To assign a default value to a function parameter in case no actual value is provided at run time, variable-definition syntax can be used inside the function header. Code examples "Hello, World!" program: Program to calculate the factorial of a non-negative integer: Libraries Python's large standard library is commonly cited as one of its greatest strengths. For Internet-facing applications, many standard formats and protocols such as MIME and HTTP are supported. The language includes modules for creating graphical user interfaces, connecting to relational databases, generating pseudorandom numbers, arithmetic with arbitrary-precision decimals, manipulating regular expressions, and unit testing. Some parts of the standard library are covered by specifications—for example, the Web Server Gateway Interface (WSGI) implementation wsgiref follows PEP 333—but most parts are specified by their code, internal documentation, and test suites. However, because most of the standard library is cross-platform Python code, only a few modules must be altered or rewritten for variant implementations. As of 13 March 2025,[update] the Python Package Index (PyPI), the official repository for third-party Python software, contains over 614,339 packages. Development environments Most[which?] Python implementations (including CPython) include a read–eval–print loop (REPL); this permits the environment to function as a command line interpreter, with which users enter statements sequentially and receive results immediately. Also, CPython is bundled with an integrated development environment (IDE) called IDLE, which is oriented toward beginners.[citation needed] Other shells, including IDLE and IPython, add additional capabilities such as improved auto-completion, session-state retention, and syntax highlighting. Standard desktop IDEs include PyCharm, Spyder, and Visual Studio Code; there are web browser-based IDEs, such as the following environments: Implementations CPython is the reference implementation of Python. This implementation is written in C, meeting the C11 standard since version 3.11. Older versions use the C89 standard with several select C99 features, but third-party extensions are not limited to older C versions—e.g., they can be implemented using C11 or C++. CPython compiles Python programs into an intermediate bytecode, which is then executed by a virtual machine. CPython is distributed with a large standard library written in a combination of C and native Python. CPython is available for many platforms, including Windows and most modern Unix-like systems, including macOS (and Apple M1 Macs, since Python 3.9.1, using an experimental installer). Starting with Python 3.9, the Python installer intentionally fails to install on Windows 7 and 8; Windows XP was supported until Python 3.5, with unofficial support for VMS. Platform portability was one of Python's earliest priorities. During development of Python 1 and 2, even OS/2 and Solaris were supported; since that time, support has been dropped for many platforms. All current Python versions (since 3.7) support only operating systems that feature multithreading, by now supporting not nearly as many operating systems (dropping many outdated) than in the past. All alternative implementations have at least slightly different semantics. For example, an alternative may include unordered dictionaries, in contrast to other current Python versions. As another example in the larger Python ecosystem, PyPy does not support the full C Python API. Creating an executable with Python often is done by bundling an entire Python interpreter into the executable, which causes binary sizes to be massive for small programs, yet there exist implementations that are capable of truly compiling Python. Alternative implementations include the following: Stackless Python is a significant fork of CPython that implements microthreads. This implementation uses the call stack differently, thus allowing massively concurrent programs. PyPy also offers a stackless version. Just-in-time Python compilers have been developed, but are now unsupported: There are several compilers/transpilers to high-level object languages; the source language is unrestricted Python, a subset of Python, or a language similar to Python: There are also specialized compilers: Some older projects existed, as well as compilers not designed for use with Python 3.x and related syntax: A performance comparison among various Python implementations, using a non-numerical (combinatorial) workload, was presented at EuroSciPy '13. In addition, Python's performance relative to other programming languages is benchmarked by The Computer Language Benchmarks Game. There are several approaches to optimizing Python performance, despite the inherent slowness of an interpreted language. These approaches include the following strategies or tools: Language Development Python's development is conducted mostly through the Python Enhancement Proposal (PEP) process; this process is the primary mechanism for proposing major new features, collecting community input on issues, and documenting Python design decisions. Python coding style is covered in PEP 8. Outstanding PEPs are reviewed and commented on by the Python community and the steering council. Enhancement of the language corresponds with development of the CPython reference implementation. The mailing list python-dev is the primary forum for the language's development. Specific issues were originally discussed in the Roundup bug tracker hosted by the foundation. In 2022, all issues and discussions were migrated to GitHub. Development originally took place on a self-hosted source-code repository running Mercurial, until Python moved to GitHub in January 2017. CPython's public releases have three types, distinguished by which part of the version number is incremented: Many alpha, beta, and release-candidates are also released as previews and for testing before final releases. Although there is a rough schedule for releases, they are often delayed if the code is not ready yet. Python's development team monitors the state of the code by running a large unit test suite during development. The major academic conference on Python is PyCon. Also, there are special Python mentoring programs, such as PyLadies. Naming Python's name is inspired by the British comedy group Monty Python, whom Python creator Guido van Rossum enjoyed while developing the language. Monty Python references appear frequently in Python code and culture; for example, the metasyntactic variables often used in Python literature are spam and eggs, rather than the traditional foo and bar. Also, the official Python documentation contains various references to Monty Python routines. Python users are sometimes referred to as "Pythonistas". Languages influenced by Python See also Notes References Further reading External links |
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[SOURCE: https://en.wikipedia.org/wiki/Protocol_(computing)] | [TOKENS: 5302] |
Contents Communication protocol A communication protocol is a system of rules that allows two or more entities of a communications system to transmit information. The protocol defines the rules, syntax, semantics, and synchronization of communication and possible error recovery methods. Protocols may be implemented by hardware, software, or a combination of both. Communicating systems use well-defined formats for exchanging various messages. Each message has an exact meaning intended to elicit a response from a range of possible responses predetermined for that particular situation. The specified behavior is typically independent of how it is to be implemented. Communication protocols have to be agreed upon by the parties involved. To reach an agreement, a protocol may be developed into a technical standard. A programming language describes the same for computations, so there is a close analogy between protocols and programming languages: protocols are to communication what programming languages are to computations. An alternate formulation states that protocols are to communication what algorithms are to computation. Multiple protocols often describe different aspects of a single communication. A group of protocols designed to work together is known as a protocol suite; when implemented in software they are a protocol stack. Internet communication protocols are published by the Internet Engineering Task Force (IETF). The IEEE (Institute of Electrical and Electronics Engineers) handles wired and wireless networking and the International Organization for Standardization (ISO) handles other types. The ITU-T handles telecommunications protocols and formats for the public switched telephone network (PSTN). As the PSTN and Internet converge, the standards are also being driven towards convergence. Communicating systems The first use of the term protocol in a modern data-commutation context occurs in April 1967 in a memorandum entitled A Protocol for Use in the NPL Data Communications Network. Under the direction of Donald Davies, who pioneered packet switching at the National Physical Laboratory in the United Kingdom, it was written by Roger Scantlebury and Keith Bartlett for the NPL network. They published their work the following year. On the ARPANET, the starting point for host-to-host communication in 1969 was the 1822 protocol, written by Bob Kahn, which defined the transmission of messages to an IMP. The Network Control Program (NCP) for the ARPANET, developed by Steve Crocker and other graduate students including Jon Postel, was first implemented in 1970. The NCP interface allowed application software to connect across the ARPANET by implementing higher-level communication protocols, an early example of the protocol layering concept. The CYCLADES network, designed by Louis Pouzin in the early 1970s was the first to implement the end-to-end principle, and make the hosts responsible for the reliable delivery of data on a packet-switched network, rather than this being a service of the network itself. His team was the first to tackle the highly complex problem of providing user applications with a reliable virtual circuit service while using a best-effort service, an early contribution to what will be the Transmission Control Protocol (TCP). Bob Metcalfe and others at Xerox PARC outlined the idea of Ethernet and the PARC Universal Packet (PUP) for internetworking. Research in the early 1970s by Bob Kahn and Vint Cerf led to the formulation of the Transmission Control Program (TCP). Its RFC 675 specification was written by Cerf with Yogen Dalal and Carl Sunshine in December 1974, still a monolithic design at this time. The International Network Working Group agreed on a connectionless datagram standard which was presented to the CCITT in 1975 but was not adopted by the CCITT nor by the ARPANET. Separate international research, particularly the work of Rémi Després, contributed to the development of the X.25 standard, based on virtual circuits, which was adopted by the CCITT in 1976. Computer manufacturers developed proprietary protocols such as IBM's Systems Network Architecture (SNA), Digital Equipment Corporation's DECnet and Xerox Network Systems. TCP software was redesigned as a modular protocol stack, referred to as TCP/IP. This was installed on SATNET in 1982 and on the ARPANET in January 1983. The development of a complete Internet protocol suite by 1989, as outlined in RFC 1122 and RFC 1123, laid the foundation for the growth of TCP/IP as a comprehensive protocol suite as the core component of the emerging Internet. International work on a reference model for communication standards led to the OSI model, published in 1984. For a period in the late 1980s and early 1990s, engineers, organizations and nations became polarized over the issue of which standard, the OSI model or the Internet protocol suite, would result in the best and most robust computer networks. The information exchanged between devices through a network or other media is governed by rules and conventions that can be set out in communication protocol specifications. The nature of communication, the actual data exchanged and any state-dependent behaviors, is defined by these specifications. In digital computing systems, the rules can be expressed by algorithms and data structures. Protocols are to communication what algorithms or programming languages are to computations. Operating systems usually contain a set of cooperating processes that manipulate shared data to communicate with each other. This communication is governed by well-understood protocols, which can be embedded in the process code itself. In contrast, because there is no shared memory, communicating systems have to communicate with each other using a shared transmission medium. Transmission is not necessarily reliable, and individual systems may use different hardware or operating systems. To implement a networking protocol, the protocol software modules are interfaced with a framework implemented on the machine's operating system. This framework implements the networking functionality of the operating system. When protocol algorithms are expressed in a portable programming language the protocol software may be made operating system independent. The best-known frameworks are the TCP/IP model and the OSI model. At the time the Internet was developed, abstraction layering had proven to be a successful design approach for both compiler and operating system design and, given the similarities between programming languages and communication protocols, the originally monolithic networking programs were decomposed into cooperating protocols. This gave rise to the concept of layered protocols which nowadays forms the basis of protocol design. Systems typically do not use a single protocol to handle a transmission. Instead they use a set of cooperating protocols, sometimes called a protocol suite. Some of the best-known protocol suites are TCP/IP, IPX/SPX, X.25, AX.25 and AppleTalk. The protocols can be arranged based on functionality in groups, for instance, there is a group of transport protocols. The functionalities are mapped onto the layers, each layer solving a distinct class of problems relating to, for instance: application-, transport-, internet- and network interface-functions. To transmit a message, a protocol has to be selected from each layer. The selection of the next protocol is accomplished by extending the message with a protocol selector for each layer. Types There are two types of communication protocols, based on their representation of the content being carried: text-based and binary.[citation needed][failed verification] A text-based protocol or plain text protocol represents its content in human-readable format, often in plain text encoded in a machine-readable encoding such as ASCII or UTF-8, or in structured text-based formats such as Intel hex format, XML or JSON. The immediate human readability stands in contrast to native binary protocols which have inherent benefits for use in a computer environment (such as ease of mechanical parsing and improved bandwidth utilization). Network applications have various methods of encapsulating data. One method very common with Internet protocols is a text oriented representation that transmits requests and responses as lines of ASCII text, terminated by a newline character (and usually a carriage return character). Examples of protocols that use plain, human-readable text for its commands are FTP (File Transfer Protocol), SMTP (Simple Mail Transfer Protocol), early versions of HTTP (Hypertext Transfer Protocol), and the finger protocol. Text-based protocols are typically optimized for human parsing and interpretation and are therefore suitable whenever human inspection of protocol contents is required, such as during debugging and during early protocol development design phases. A binary protocol utilizes all values of a byte, as opposed to a text-based protocol which only uses values corresponding to human-readable characters in ASCII encoding. Binary protocols are intended to be read by a machine rather than a human being. Binary protocols have the advantage of terseness, which translates into speed of transmission and interpretation. Binary have been used in the normative documents describing modern standards like EbXML, HTTP/2, HTTP/3 and EDOC. An interface in UML may also be considered a binary protocol. Basic requirements Getting the data across a network is only part of the problem for a protocol. The data received has to be evaluated in the context of the progress of the conversation, so a protocol must include rules describing the context. These kinds of rules are said to express the syntax of the communication. Other rules determine whether the data is meaningful for the context in which the exchange takes place. These kinds of rules are said to express the semantics of the communication. Messages are sent and received on communicating systems to establish communication. Protocols should therefore specify rules governing the transmission. In general, much of the following should be addressed: Protocol design Systems engineering principles have been applied to create a set of common network protocol design principles. The design of complex protocols often involves decomposition into simpler, cooperating protocols. Such a set of cooperating protocols is sometimes called a protocol family or a protocol suite, within a conceptual framework. Communicating systems operate concurrently. An important aspect of concurrent programming is the synchronization of software for receiving and transmitting messages of communication in proper sequencing. Concurrent programming has traditionally been a topic in operating systems theory texts. Formal verification seems indispensable because concurrent programs are notorious for the hidden and sophisticated bugs they contain. A mathematical approach to the study of concurrency and communication is referred to as communicating sequential processes (CSP). Concurrency can also be modeled using finite-state machines, such as Mealy and Moore machines. Mealy and Moore machines are in use as design tools in digital electronics systems encountered in the form of hardware used in telecommunication or electronic devices in general.[better source needed] The literature presents numerous analogies between computer communication and programming. In analogy, a transfer mechanism of a protocol is comparable to a central processing unit (CPU). The framework introduces rules that allow the programmer to design cooperating protocols independently of one another. In modern protocol design, protocols are layered to form a protocol stack. Layering is a design principle that divides the protocol design task into smaller steps, each of which accomplishes a specific part, interacting with the other parts of the protocol only in a small number of well-defined ways. Layering allows the parts of a protocol to be designed and tested without a combinatorial explosion of cases, keeping each design relatively simple. The communication protocols in use on the Internet are designed to function in diverse and complex settings. Internet protocols are designed for simplicity and modularity and fit into a coarse hierarchy of functional layers defined in the Internet Protocol Suite. The first two cooperating protocols, the Transmission Control Protocol (TCP) and the Internet Protocol (IP) resulted from the decomposition of the original Transmission Control Program, a monolithic communication protocol, into this layered communication suite. The OSI model was developed internationally based on experience with networks that predated the internet as a reference model for general communication with much stricter rules of protocol interaction and rigorous layering. Typically, application software is built upon a robust data transport layer. Underlying this transport layer is a datagram delivery and routing mechanism that is typically connectionless in the Internet. Packet relaying across networks happens over another layer that involves only network link technologies, which are often specific to certain physical layer technologies, such as Ethernet. Layering provides opportunities to exchange technologies when needed, for example, protocols are often stacked in a tunneling arrangement to accommodate the connection of dissimilar networks. For example, IP may be tunneled across an Asynchronous Transfer Mode (ATM) network. Protocol layering forms the basis of protocol design. It allows the decomposition of single, complex protocols into simpler, cooperating protocols. The protocol layers each solve a distinct class of communication problems. Together, the layers make up a layering scheme or model. Computations deal with algorithms and data; Communication involves protocols and messages; So the analog of a data flow diagram is some kind of message flow diagram. To visualize protocol layering and protocol suites, a diagram of the message flows in and between two systems, A and B, is shown in figure 3. The systems, A and B, both make use of the same protocol suite. The vertical flows (and protocols) are in-system and the horizontal message flows (and protocols) are between systems. The message flows are governed by rules, and data formats specified by protocols. The blue lines mark the boundaries of the (horizontal) protocol layers. The software supporting protocols has a layered organization and its relationship with protocol layering is shown in figure 5. To send a message on system A, the top-layer software module interacts with the module directly below it and hands over the message to be encapsulated. The lower module fills in the header data in accordance with the protocol it implements and interacts with the bottom module which sends the message over the communications channel to the bottom module of system B. On the receiving system B the reverse happens, so ultimately the message gets delivered in its original form to the top module of system B. Program translation is divided into subproblems. As a result, the translation software is layered as well, allowing the software layers to be designed independently. The same approach can be seen in the TCP/IP layering. The modules below the application layer are generally considered part of the operating system. Passing data between these modules is much less expensive than passing data between an application program and the transport layer. The boundary between the application layer and the transport layer is called the operating system boundary. Strictly adhering to a layered model, a practice known as strict layering, is not always the best approach to networking. Strict layering can have a negative impact on the performance of an implementation. Although the use of protocol layering is today ubiquitous across the field of computer networking, it has been historically criticized by many researchers as abstracting the protocol stack in this way may cause a higher layer to duplicate the functionality of a lower layer, a prime example being error recovery on both a per-link basis and an end-to-end basis. Commonly recurring problems in the design and implementation of communication protocols can be addressed by software design patterns. Popular formal methods of describing communication syntax are Abstract Syntax Notation One (an ISO standard) and augmented Backus–Naur form (an IETF standard). Finite-state machine models are used to formally describe the possible interactions of the protocol. and communicating finite-state machines Protocol development For communication to occur, protocols have to be selected. The rules can be expressed by algorithms and data structures. Hardware and operating system independence is enhanced by expressing the algorithms in a portable programming language. Source independence of the specification provides wider interoperability. Protocol standards are commonly created by obtaining the approval or support of a standards organization, which initiates the standardization process. The members of the standards organization agree to adhere to the work result on a voluntary basis. Often the members are in control of large market shares relevant to the protocol and in many cases, standards are enforced by law or the government because they are thought to serve an important public interest, so getting approval can be very important for the protocol. The need for protocol standards can be shown by looking at what happened to the Binary Synchronous Communications (BSC) protocol invented by IBM. BSC is an early link-level protocol used to connect two separate nodes. It was originally not intended to be used in a multinode network, but doing so revealed several deficiencies of the protocol. In the absence of standardization, manufacturers and organizations felt free to enhance the protocol, creating incompatible versions on their networks. In some cases, this was deliberately done to discourage users from using equipment from other manufacturers. There are more than 50 variants of the original bi-sync protocol. One can assume, that a standard would have prevented at least some of this from happening. In some cases, protocols gain market dominance without going through a standardization process. Such protocols are referred to as de facto standards. De facto standards are common in emerging markets, niche markets, or markets that are monopolized (or oligopolized). They can hold a market in a very negative grip, especially when used to scare away competition. From a historical perspective, standardization should be seen as a measure to counteract the ill-effects of de facto standards. Positive exceptions exist; a de facto standard operating system like Linux does not have this negative grip on its market, because the sources are published and maintained in an open way, thus inviting competition. Some of the standards organizations of relevance for communication protocols are the International Organization for Standardization (ISO), the International Telecommunication Union (ITU), the Institute of Electrical and Electronics Engineers (IEEE), and the Internet Engineering Task Force (IETF). The IETF maintains the protocols in use on the Internet. The IEEE controls many software and hardware protocols in the electronics industry for commercial and consumer devices. The ITU is an umbrella organization of telecommunication engineers designing the public switched telephone network (PSTN), as well as many radio communication systems. For marine electronics the NMEA standards are used. The World Wide Web Consortium (W3C) produces protocols and standards for Web technologies. International standards organizations are supposed to be more impartial than local organizations with a national or commercial self-interest to consider. Standards organizations also do research and development for standards of the future. In practice, the standards organizations mentioned, cooperate closely with each other. Multiple standards bodies may be involved in the development of a protocol. If they are uncoordinated, then the result may be multiple, incompatible definitions of a protocol, or multiple, incompatible interpretations of messages; important invariants in one definition (e.g., that time-to-live values are monotone decreasing to prevent stable routing loops) may not be respected in another. In the ISO, the standardization process starts off with the commissioning of a sub-committee workgroup. The workgroup issues working drafts and discussion documents to interested parties (including other standards bodies) in order to provoke discussion and comments. This will generate a lot of questions, much discussion and usually some disagreement. These comments are taken into account and a draft proposal is produced by the working group. After feedback, modification, and compromise the proposal reaches the status of a draft international standard, and ultimately an international standard. International standards are reissued periodically to handle the deficiencies and reflect changing views on the subject. A lesson learned from ARPANET, the predecessor of the Internet, was that protocols need a framework to operate. It is therefore important to develop a general-purpose, future-proof framework suitable for structured protocols (such as layered protocols) and their standardization. This would prevent protocol standards with overlapping functionality and would allow clear definition of the responsibilities of a protocol at the different levels (layers). This gave rise to the Open Systems Interconnection model (OSI model), which is used as a framework for the design of standard protocols and services conforming to the various layer specifications. In the OSI model, communicating systems are assumed to be connected by an underlying physical medium providing a basic transmission mechanism. The layers above it are numbered. Each layer provides service to the layer above it using the services of the layer immediately below it. The top layer provides services to the application process. The layers communicate with each other by means of an interface, called a service access point. Corresponding layers at each system are called peer entities. To communicate, two peer entities at a given layer use a protocol specific to that layer which is implemented by using services of the layer below. For each layer, there are two types of standards: protocol standards defining how peer entities at a given layer communicate, and service standards defining how a given layer communicates with the layer above it. In the OSI model, the layers and their functionality are (from highest to lowest layer): In contrast to the TCP/IP layering scheme, which assumes a connectionless network, RM/OSI assumed a connection-oriented network. Connection-oriented networks are more suitable for wide area networks and connectionless networks are more suitable for local area networks. Connection-oriented communication requires some form of session and (virtual) circuits, hence the (in the TCP/IP model lacking) session layer. The constituent members of ISO were mostly concerned with wide area networks, so the development of RM/OSI concentrated on connection-oriented networks and connectionless networks were first mentioned in an addendum to RM/OSI and later incorporated into an update to RM/OSI. At the time,[when?] the IETF had to cope with this and the fact that the Internet needed protocols that simply were not there.[citation needed] As a result, the IETF developed its own standardization process based on "rough consensus and running code". The standardization process is described by RFC 2026. Nowadays, the IETF has become a standards organization for the protocols in use on the Internet. RM/OSI has extended its model to include connectionless services and because of this, both TCP and IP could be developed into international standards.[citation needed] Wire image The wire image of a protocol is the information that a non-participant observer is able to glean from observing the protocol messages, including both information explicitly given meaning by the protocol, but also inferences made by the observer. Unencrypted protocol metadata is one source making up the wire image, and side-channels including packet timing also contribute. Different observers with different vantages may see different wire images. The wire image is relevant to end-user privacy and the extensibility of the protocol. If some portion of the wire image is not cryptographically authenticated, it is subject to modification by intermediate parties (i.e., middleboxes), which can influence protocol operation. Even if authenticated, if a portion is not encrypted, it will form part of the wire image, and intermediate parties may intervene depending on its content (e.g., dropping packets with particular flags). Signals deliberately intended for intermediary consumption may be left authenticated but unencrypted. The wire image can be deliberately engineered, encrypting parts that intermediaries should not be able to observe and providing signals for what they should be able to. If provided signals are decoupled from the protocol's operation, they may become untrustworthy. Benign network management and research are affected by metadata encryption; protocol designers must balance observability for operability and research against ossification resistance and end-user privacy. The IETF announced in 2014 that it had determined that large-scale surveillance of protocol operations is an attack due to the ability to infer information from the wire image about users and their behaviour, and that the IETF would "work to mitigate pervasive monitoring" in its protocol designs; this had not been done systematically previously. The Internet Architecture Board recommended in 2023 that disclosure of information by a protocol to the network should be intentional, performed with the agreement of both recipient and sender, authenticated to the degree possible and necessary, only acted upon to the degree of its trustworthiness, and minimised and provided to a minimum number of entities. Engineering the wire image and controlling what signals are provided to network elements was a "developing field" in 2023, according to the IAB. Ossification Protocol ossification is the loss of flexibility, extensibility and evolvability of network protocols. This is largely due to middleboxes that are sensitive to the wire image of the protocol, and which can interrupt or interfere with messages that are valid but which the middlebox does not correctly recognize. This is a violation of the end-to-end principle. Secondary causes include inflexibility in endpoint implementations of protocols. Ossification is a major issue in Internet protocol design and deployment, as it can prevent new protocols or extensions from being deployed on the Internet, or place strictures on the design of new protocols; new protocols may have to be encapsulated in an already-deployed protocol or mimic the wire image of another protocol. Because of ossification, the Transmission Control Protocol (TCP) and User Datagram Protocol (UDP) are the only practical choices for transport protocols on the Internet, and TCP itself has significantly ossified, making extension or modification of the protocol difficult. Recommended methods of preventing ossification include encrypting protocol metadata, and ensuring that extension points are exercised and wire image variability is exhibited as fully as possible; remedying existing ossification requires coordination across protocol participants. QUIC is the first IETF transport protocol to have been designed with deliberate anti-ossification properties. Taxonomies Classification schemes for protocols usually focus on the domain of use and function. As an example of domain of use, connection-oriented protocols and connectionless protocols are used on connection-oriented networks and connectionless networks respectively. An example of function is a tunneling protocol, which is used to encapsulate packets in a high-level protocol so that the packets can be passed across a transport system using the high-level protocol. A layering scheme combines both function and domain of use. The dominant layering schemes are the ones developed by the IETF and by ISO. Despite the fact that the underlying assumptions of the layering schemes are different enough to warrant distinguishing the two, it is a common practice to compare the two by relating common protocols to the layers of the two schemes. The layering scheme from the IETF is called Internet layering or TCP/IP layering. The layering scheme from ISO is called the OSI model or ISO layering. In networking equipment configuration, a term-of-art distinction is often drawn: The term protocol strictly refers to the transport layer, and the term service refers to protocols utilizing a protocol for transport. In the common case of TCP and UDP, services are distinguished by port numbers. Conformance to these port numbers is voluntary, so in content inspection systems the term service strictly refers to port numbers, and the term application is often used to refer to protocols identified through inspection signatures. See also Notes References External links |
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[SOURCE: https://en.wikipedia.org/wiki/Transit_(astronomy)] | [TOKENS: 1856] |
Contents Astronomical transit In astronomy, a transit (or astronomical transit) is the passage of a celestial body directly between a larger body and the observer. As viewed from a particular vantage point, the transiting body appears to move across the face of the larger body, covering a small portion of it. The word "transit" refers to cases where the nearer object appears smaller than the more distant object. Cases where the nearer object appears larger and completely hides the more distant object are known as occultations. However, the probability of seeing a transiting planet is low because it is dependent on the alignment of the three objects in a nearly perfectly straight line. Many parameters of a planet and its parent star can be determined based on the transit. In the Solar System One type of transit involves the motion of a planet between a terrestrial observer and the Sun. This can happen only with inferior planets, namely Mercury and Venus (see transit of Mercury and transit of Venus). Concerning the sun and moon seen from earth, there is a special and unique situation: the disk of the moon can appear smaller than the disk of the sun, but it can also appear larger. In the first case a transit of the moon in front of the sun, an annular solar eclipse occurs, while in later case the moon occults the sun, which is a total solar eclipse. However, because a transit is dependent on the point of observation, the Earth itself transits the Sun if observed from Mars. In the solar transit by the Moon captured during calibration of the STEREO B spacecraft's ultraviolet imaging, the Moon appears much smaller than it does when seen from Earth, because the spacecraft–Moon separation was several times greater than the Earth–Moon distance. The term can also be used to describe the motion of a satellite across its parent planet, for instance one of the Galilean satellites (Io, Europa, Ganymede, Callisto) across Jupiter, as seen from Earth. Although rare, cases where four bodies are lined up do happen. One of these events occurred on 27 June 1586, when Mercury transited the Sun as seen from Venus at the same time as a transit of Mercury from Saturn and a transit of Venus from Saturn. [citation needed] No missions were planned to coincide with the transit of Earth visible from Mars on 11 May 1984 and the Viking missions had been terminated a year previously. Consequently, the next opportunity to observe such an alignment will be in 2084. On 21 December 2012, the Cassini–Huygens probe, in orbit around Saturn, observed the planet Venus transiting the Sun. On 3 June 2014, the Mars rover Curiosity observed the planet Mercury transiting the Sun, marking the first time a planetary transit has been observed from a celestial body besides Earth. In rare cases, one planet can pass in front of another. If the nearer planet appears smaller than the more distant one, the event is called a mutual planetary transit. Outside the Solar System The transit method can be used to discover exoplanets. As a planet eclipses/transits its host star it will block a portion of the light from the star. If the planet transits in-between the star and the observer the change in light can be measured to construct a light curve. Light curves are measured with a charge-coupled device. The light curve of a star can disclose several physical characteristics of the planet and star, such as density. Multiple transit events must be measured to determine the characteristics which tend to occur at regular intervals. Multiple planets orbiting the same host star can cause transit-timing variations (TTV). TTV is caused by the gravitational forces of all orbiting bodies acting upon each other. The probability of seeing a transit from Earth is low, however. The probability is given by the following equation. where Rstar and Rplanet are the radius of the star and planet, respectively, and a is the semi-major axis. Because of the low probability of a transit in any specific system, large selections of the sky must be regularly observed in order to see a transit. Hot Jupiters are more likely to be seen because of their larger radius and short semi-major axis. In order to find Earth-sized planets, red dwarf stars are observed because of their small radius. Even though transiting has a low probability it has proven itself to be a good technique for discovering exoplanets. In recent years, the discovery of extrasolar planets has prompted interest in the possibility of detecting their transits across their own stellar primaries. HD 209458b was the first such transiting planet to be detected. The transit of celestial objects is one of the few key phenomena used today for the study of exoplanetary systems. Today, transit photometry is the leading form of exoplanet discovery. As an exoplanet moves in front of its host star there is a dimming in the luminosity of the host star that can be measured. Larger planets make the dip in luminosity more noticeable and easier to detect. Followup observations using other methods are often carried out to ensure it is a planet. There are currently (July 2025) 2782 planets confirmed with Kepler light curves for stellar host. Contacts During a transit there are four "contacts", when the circumference of the small circle (small body disk) touches the circumference of the large circle (large body disk) at a single point. Historically, measuring the precise time of each point of contact was one of the most accurate ways to determine the positions of astronomical bodies. The contacts happen in the following order: A fifth named point is that of greatest transit, when the apparent centers of the two bodies are nearest to each other, halfway through the transit. Missions Since transit photometry allows for scanning large celestial areas with a simple procedure, it has been the most popular and successful form of finding exoplanets in the past decade and includes many projects, some of which have already been retired, others in use today, and some in progress of being planned and created. The most successful projects include HATNet, KELT, Kepler, and WASP, and some new and developmental stage missions such as TESS, HATPI, and others which can be found among the List of Exoplanet Search Projects. HATNet Project is a set of northern telescopes in Fred Lawrence Whipple Observatory, Arizona and Mauna Kea Observatories, HI, and southern telescopes around the globe, in Africa, Australia, and South America, under the HATSouth branch of the project. These are small aperture telescopes, just like KELT, and look at a wide field which allows them to scan a large area of the sky for possible transiting planets. In addition, their multitude and spread around the world allows for 24/7 observation of the sky so that more short-period transits can be caught. A third sub-project, HATPI, is currently under construction and will survey most of the night sky seen from its location in Chile. KELT is a terrestrial telescope mission designed to search for transiting systems of planets of magnitude 8<M<10. It began operation in October 2004 in Winer Observatory and has a southern companion telescope added in 2009. KELT North observes "26-degree wide strip of sky that is overhead from North America during the year", while KELT South observes single target areas of the size 26 by 26 degrees. Both telescopes can detect and identify transit events as small as a 1% flux dip, which allows for detection of planetary systems similar to those in our planetary system. The Kepler space telescope served the Kepler mission between 7 March 2009 and 11 May 2013, where it observed one part of the sky in search of transiting planets within a 115 square degrees of the sky around the Cygnus, Lyra, and Draco constellations. After that, the satellite continued operating until 15 November 2018, this time changing its field along the ecliptic to a new area roughly every 75 days due to reaction wheel failure. TESS was launched on 18 April 2018, and is planned to survey most of the sky by observing it strips defined along the right ascension lines for 27 days each. Each area surveyed is 27 by 90 degrees. Because of the positioning of sections, the area near TESS's rotational axis will be surveyed for up to 1 year, allowing for the identification of planetary systems with longer orbital periods. Trivia In the 18th and 19th century, it was tried with determining the contact times of Venus at her solar transits observed at different places to determine the mean distance of the sun with high precision, but this did not work as expected, because of the black-drop phenomena. Lomonossow discovered at a solar transit of Venus her atmosphere. The Bonilla observation, the first alleged UFO-photograph shows a transit event, which is either explained by a group of geese or by debris of a comet. See also References External links |
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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 PlayStation (console) The PlayStation[a] (codenamed PSX, abbreviated as PS, and retroactively PS1 or PS one) is a home video game console developed and marketed by Sony Computer Entertainment. It was released in Japan on 3 December 1994, followed by North America on 9 September 1995, Europe on 29 September 1995, and other regions following thereafter. As a fifth-generation console, the PlayStation primarily competed with the Nintendo 64 and the Sega Saturn. Sony began developing the PlayStation after a failed venture with Nintendo to create a CD-ROM peripheral for the Super Nintendo Entertainment System in the early 1990s. The console was primarily designed by Ken Kutaragi and Sony Computer Entertainment in Japan, while additional development was outsourced in the United Kingdom. An emphasis on 3D polygon graphics was placed at the forefront of the console's design. PlayStation game production was designed to be streamlined and inclusive, enticing the support of many third party developers. The console proved popular for its extensive game library, popular franchises, low retail price, and aggressive youth marketing which advertised it as the preferable console for adolescents and adults. Critically acclaimed games that defined the console include Gran Turismo, Crash Bandicoot, Spyro the Dragon, Tomb Raider, Resident Evil, Metal Gear Solid, Tekken 3, and Final Fantasy VII. Sony ceased production of the PlayStation on 23 March 2006—over eleven years after it had been released, and in the same year the PlayStation 3 debuted. More than 4,000 PlayStation games were released, with cumulative sales of 962 million units. The PlayStation signaled Sony's rise to power in the video game industry. It received acclaim and sold strongly; in less than a decade, it became the first computer entertainment platform to ship over 100 million units. Its use of compact discs heralded the game industry's transition from cartridges. The PlayStation's success led to a line of successors, beginning with the PlayStation 2 in 2000. In the same year, Sony released a smaller and cheaper model, the PS one. History The PlayStation was conceived by Ken Kutaragi, a Sony executive who managed a hardware engineering division and was later dubbed "the Father of the PlayStation". Kutaragi's interest in working with video games stemmed from seeing his daughter play games on Nintendo's Famicom. Kutaragi convinced Nintendo to use his SPC-700 sound processor in the Super Nintendo Entertainment System (SNES) through a demonstration of the processor's capabilities. His willingness to work with Nintendo was derived from both his admiration of the Famicom and conviction in video game consoles becoming the main home-use entertainment systems. Although Kutaragi was nearly fired because he worked with Nintendo without Sony's knowledge, president Norio Ohga recognised the potential in Kutaragi's chip and decided to keep him as a protégé. The inception of the PlayStation dates back to a 1988 joint venture between Nintendo and Sony. Nintendo had produced floppy disk technology to complement cartridges in the form of the Family Computer Disk System, and wanted to continue this complementary storage strategy for the SNES. Since Sony was already contracted to produce the SPC-700 sound processor for the SNES, Nintendo contracted Sony to develop a CD-ROM add-on, tentatively titled the "Play Station" or "SNES-CD". The PlayStation name had already been trademarked by Yamaha, but Nobuyuki Idei liked it so much that he agreed to acquire it for an undisclosed sum rather than search for an alternative. Sony was keen to obtain a foothold in the rapidly expanding video game market. Having been the primary manufacturer of the MSX home computer format, Sony had wanted to use their experience in consumer electronics to produce their own video game hardware. Although the initial agreement between Nintendo and Sony was about producing a CD-ROM drive add-on, Sony had also planned to develop a SNES-compatible Sony-branded console. This iteration was intended to be more of a home entertainment system, playing both SNES cartridges and a new CD format named the "Super Disc", which Sony would design. Under the agreement, Sony would retain sole international rights to every Super Disc game, giving them a large degree of control despite Nintendo's leading position in the video game market. Furthermore, Sony would also be the sole benefactor of licensing related to music and film software that it had been aggressively pursuing as a secondary application. The Play Station was to be announced at the 1991 Consumer Electronics Show (CES) in Las Vegas. However, Nintendo president Hiroshi Yamauchi was wary of Sony's increasing leverage at this point and deemed the original 1988 contract unacceptable upon realising it essentially handed Sony control over all games written on the SNES CD-ROM format. Although Nintendo was dominant in the video game market, Sony possessed a superior research and development department. Wanting to protect Nintendo's existing licensing structure, Yamauchi cancelled all plans for the joint Nintendo–Sony SNES CD attachment without telling Sony. He sent Nintendo of America president Minoru Arakawa (his son-in-law) and chairman Howard Lincoln to Amsterdam to form a more favourable contract with Dutch conglomerate Philips, Sony's rival. This contract would give Nintendo total control over their licences on all Philips-produced machines. Kutaragi and Nobuyuki Idei, Sony's director of public relations at the time, learned of Nintendo's actions two days before the CES was due to begin. Kutaragi telephoned numerous contacts, including Philips, to no avail. On the first day of the CES, Sony announced their partnership with Nintendo and their new console, the Play Station. At 9 am on the next day, in what has been called "the greatest ever betrayal" in the industry, Howard Lincoln stepped onto the stage and revealed that Nintendo was now allied with Philips and would abandon their work with Sony. Incensed by Nintendo's renouncement, Ohga and Kutaragi decided that Sony would develop their own console. Nintendo's contract-breaking was met with consternation in the Japanese business community, as they had broken an "unwritten law" of native companies not turning against each other in favour of foreign ones. Sony's American branch considered allying with Sega to produce a CD-ROM-based machine called the Sega Multimedia Entertainment System, but the Sega board of directors in Tokyo vetoed the idea when Sega of America CEO Tom Kalinske presented them the proposal. Kalinske recalled them saying: "That's a stupid idea, Sony doesn't know how to make hardware. They don't know how to make software either. Why would we want to do this?" Sony halted their research, but decided to develop what it had developed with Nintendo and Sega into a console based on the SNES. Despite the tumultuous events at the 1991 CES, negotiations between Nintendo and Sony were still ongoing. A deal was proposed: the Play Station would still have a port for SNES games, on the condition that it would still use Kutaragi's audio chip and that Nintendo would own the rights and receive the bulk of the profits. Roughly two hundred prototype machines were created, and some software entered development. Many within Sony were still opposed to their involvement in the video game industry, with some resenting Kutaragi for jeopardising the company. Kutaragi remained adamant that Sony not retreat from the growing industry and that a deal with Nintendo would never work. Knowing that they had to take decisive action, Sony severed all ties with Nintendo on 4 May 1992. To determine the fate of the PlayStation project, Ohga chaired a meeting in June 1992, consisting of Kutaragi and several senior Sony board members. Kutaragi unveiled a proprietary CD-ROM-based system he had been secretly working on which played games with immersive 3D graphics. Kutaragi was confident that his LSI chip could accommodate one million logic gates, which exceeded the capabilities of Sony's semiconductor division at the time. Despite gaining Ohga's enthusiasm, there remained opposition from a majority present at the meeting. Older Sony executives also opposed it, who saw Nintendo and Sega as "toy" manufacturers. The opposers felt the game industry was too culturally offbeat and asserted that Sony should remain a central player in the audiovisual industry, where companies were familiar with one another and could conduct "civili[s]ed" business negotiations. After Kutaragi reminded him of the humiliation he suffered from Nintendo, Ohga retained the project and became one of Kutaragi's most staunch supporters. Ohga shifted Kutaragi and nine of his team from Sony's main headquarters to Sony Music Entertainment Japan (SMEJ), a subsidiary of the main Sony group, so as to retain the project and maintain relationships with Philips for the MMCD development project. The involvement of SMEJ proved crucial to the PlayStation's early development as the process of manufacturing games on CD-ROM format was similar to that used for audio CDs, with which Sony's music division had considerable experience. While at SMEJ, Kutaragi worked with Epic/Sony Records founder Shigeo Maruyama and Akira Sato; both later became vice-presidents of the division that ran the PlayStation business. Sony Computer Entertainment (SCE) was jointly established by Sony and SMEJ to handle the company's ventures into the video game industry. On 27 October 1993, Sony publicly announced that it was entering the game console market with the PlayStation. According to Maruyama, there was uncertainty over whether the console should primarily focus on 2D, sprite-based graphics or 3D polygon graphics. After Sony witnessed the success of Sega's Virtua Fighter (1993) in Japanese arcades, the direction of the PlayStation became "instantly clear" and 3D polygon graphics became the console's primary focus. SCE president Teruhisa Tokunaka expressed gratitude for Sega's timely release of Virtua Fighter as it proved "just at the right time" that making games with 3D imagery was possible. Maruyama claimed that Sony further wanted to emphasise the new console's ability to utilise redbook audio from the CD-ROM format in its games alongside high quality visuals and gameplay. Wishing to distance the project from the failed enterprise with Nintendo, Sony initially branded the PlayStation the "PlayStation X" (PSX). Sony formed their European division and North American division, known as Sony Computer Entertainment Europe (SCEE) and Sony Computer Entertainment America (SCEA), in January and May 1995. The divisions planned to market the new console under the alternative branding "PSX" following the negative feedback regarding "PlayStation" in focus group studies. Early advertising prior to the console's launch in North America referenced PSX, but the term was scrapped before launch. The console was not marketed with Sony's name in contrast to Nintendo's consoles. According to Phil Harrison, much of Sony's upper management feared that the Sony brand would be tarnished if associated with the console, which they considered a "toy". Since Sony had no experience in game development, it had to rely on the support of third-party game developers. This was in contrast to Sega and Nintendo, which had versatile and well-equipped in-house software divisions for their arcade games and could easily port successful games to their home consoles. Recent consoles like the Atari Jaguar and 3DO suffered low sales due to a lack of developer support, prompting Sony to redouble their efforts in gaining the endorsement of arcade-savvy developers. A team from Epic Sony visited more than a hundred companies throughout Japan in May 1993 in hopes of attracting game creators with the PlayStation's technological appeal. Sony found that many disliked Nintendo's practices, such as favouring their own games over others. Through a series of negotiations, Sony acquired initial support from Namco, Konami, and Williams Entertainment, as well as 250 other development teams in Japan alone. Namco in particular was interested in developing for PlayStation since Namco rivalled Sega in the arcade market. Attaining these companies secured influential games such as Ridge Racer (1993) and Mortal Kombat 3 (1995), Ridge Racer being one of the most popular arcade games at the time, and it was already confirmed behind closed doors that it would be the PlayStation's first game by December 1993, despite Namco being a longstanding Nintendo developer. Namco's research managing director Shegeichi Nakamura met with Kutaragi in 1993 to discuss the preliminary PlayStation specifications, with Namco subsequently basing the Namco System 11 arcade board on PlayStation hardware and developing Tekken to compete with Virtua Fighter. The System 11 launched in arcades several months before the PlayStation's release, with the arcade release of Tekken in September 1994. Despite securing the support of various Japanese studios, Sony had no developers of their own by the time the PlayStation was in development. This changed in 1993 when Sony acquired the Liverpudlian company Psygnosis (later renamed SCE Liverpool) for US$48 million, securing their first in-house development team. The acquisition meant that Sony could have more launch games ready for the PlayStation's release in Europe and North America. Ian Hetherington, Psygnosis' co-founder, was disappointed after receiving early builds of the PlayStation and recalled that the console "was not fit for purpose" until his team got involved with it. Hetherington frequently clashed with Sony executives over broader ideas; at one point it was suggested that a television with a built-in PlayStation be produced. In the months leading up to the PlayStation's launch, Psygnosis had around 500 full-time staff working on games and assisting with software development. The purchase of Psygnosis marked another turning point for the PlayStation as it played a vital role in creating the console's development kits. While Sony had provided MIPS R4000-based Sony NEWS workstations for PlayStation development, Psygnosis employees disliked the thought of developing on these expensive workstations and asked Bristol-based SN Systems to create an alternative PC-based development system. Andy Beveridge and Martin Day, owners of SN Systems, had previously supplied development hardware for other consoles such as the Mega Drive, Atari ST, and the SNES. When Psygnosis arranged an audience for SN Systems with Sony's Japanese executives at the January 1994 CES in Las Vegas, Beveridge and Day presented their prototype of the condensed development kit, which could run on an ordinary personal computer with two extension boards. Impressed, Sony decided to abandon their plans for a workstation-based development system in favour of SN Systems's, thus securing a cheaper and more efficient method for designing software. An order of over 600 systems followed, and SN Systems supplied Sony with additional software such as an assembler, linker, and a debugger. SN Systems produced development kits for future PlayStation systems, including the PlayStation 2 and was bought out by Sony in 2005. Sony strived to make game production as streamlined and inclusive as possible, in contrast to the relatively isolated approach of Sega and Nintendo. Phil Harrison, representative director of SCEE, believed that Sony's emphasis on developer assistance reduced most time-consuming aspects of development. As well as providing programming libraries, SCE headquarters in London, California, and Tokyo housed technical support teams that could work closely with third-party developers if needed. Sony did not favour their own over non-Sony products, unlike Nintendo; Peter Molyneux of Bullfrog Productions admired Sony's open-handed approach to software developers and lauded their decision to use PCs as a development platform, remarking that "[it was] like being released from jail in terms of the freedom you have". Another strategy that helped attract software developers was the PlayStation's use of the CD-ROM format instead of traditional cartridges. Nintendo cartridges were expensive to manufacture, and the company controlled all production, prioritising their own games, while inexpensive compact disc manufacturing occurred at dozens of locations around the world. The PlayStation's architecture and interconnectability with PCs was beneficial to many software developers. The use of the programming language C proved useful, as it safeguarded future compatibility of the machine should developers decide to make further hardware revisions. Despite the inherent flexibility, some developers found themselves restricted due to the console's lack of RAM. While working on beta builds of the PlayStation, Molyneux observed that its MIPS processor was not "quite as bullish" compared to that of a fast PC and said that it took his team two weeks to port their PC code to the PlayStation development kits and another fortnight to achieve a four-fold speed increase. An engineer from Ocean Software, one of Europe's largest game developers at the time, thought that allocating RAM was a challenging aspect given the 3.5 megabyte restriction. Kutaragi said that while it would have been easy to double the amount of RAM for the PlayStation, the development team refrained from doing so to keep the retail cost down. Kutaragi saw the biggest challenge in developing the system to be balancing the conflicting goals of high performance, low cost, and being easy to program for, and felt he and his team were successful in this regard. Its technical specifications were finalised in 1993 and its design during 1994. The PlayStation name and its final design were confirmed during a press conference on May 10, 1994, although the price and release dates had not been disclosed yet. Sony released the PlayStation in Japan on 3 December 1994, a week after the release of the Sega Saturn, at a price of ¥39,800. Sales in Japan began with a "stunning" success with long queues in shops. Ohga later recalled that he realised how important PlayStation had become for Sony when friends and relatives begged for consoles for their children. PlayStation sold 100,000 units on the first day and two million units within six months, although the Saturn outsold the PlayStation in the first few weeks due to the success of Virtua Fighter. By the end of 1994, 300,000 PlayStation units were sold in Japan compared to 500,000 Saturn units. A grey market emerged for PlayStations shipped from Japan to North America and Europe, with buyers of such consoles paying up to £700. "When September 1995 arrived and Sony's Playstation roared out of the gate, things immediately felt different than [sic] they did with the Saturn launch earlier that year. Sega dropped the Saturn $100 to match the Playstation's $299 debut price, but sales weren't even close—Playstations flew out the door as fast as we could get them in stock. Before the release in North America, Sega and Sony presented their consoles at the first Electronic Entertainment Expo (E3) in Los Angeles on 11 May 1995. At their keynote presentation, Sega of America CEO Tom Kalinske revealed that their Saturn console would be released immediately to select retailers at a price of $399. Next came Sony's turn: Olaf Olafsson, the head of SCEA, summoned Steve Race, the head of development, to the conference stage, who said "$299" and left the audience with a round of applause. The attention to the Sony conference was further bolstered by the surprise appearance of Michael Jackson and the showcase of highly anticipated games, including Wipeout (1995), Ridge Racer and Tekken (1994). In addition, Sony announced that no games would be bundled with the console. Although the Saturn had released early in the United States to gain an advantage over the PlayStation, the surprise launch upset many retailers who were not informed in time, harming sales. Some retailers such as KB Toys responded by dropping the Saturn entirely. The PlayStation went on sale in North America on 9 September 1995. It sold more units within two days than the Saturn had in five months, with almost all of the initial shipment of 100,000 units sold in advance and shops across the country running out of consoles and accessories. The well-received Ridge Racer contributed to the PlayStation's early success, — with some critics considering it superior to Sega's arcade counterpart Daytona USA (1994) — as did Battle Arena Toshinden (1995). There were over 100,000 pre-orders placed and 17 games available on the market by the time of the PlayStation's American launch, in comparison to the Saturn's six launch games. The PlayStation released in Europe on 29 September 1995 and in Australia on 15 November 1995. By November it had already outsold the Saturn by three to one in the United Kingdom, where Sony had allocated a £20 million marketing budget during the Christmas season compared to Sega's £4 million. Sony found early success in the United Kingdom by securing listings with independent shop owners as well as prominent High Street chains such as Comet and Argos. Within its first year, the PlayStation secured over 20% of the entire American video game market. From September to the end of 1995, sales in the United States amounted to 800,000 units, giving the PlayStation a commanding lead over the other fifth-generation consoles,[b] though the SNES and Mega Drive from the fourth generation still outsold it. Sony reported that the attach rate of sold games and consoles was four to one. To meet increasing demand, Sony chartered jumbo jets and ramped up production in Europe and North America. By early 1996, the PlayStation had grossed $2 billion (equivalent to $4.106 billion 2025) from worldwide hardware and software sales. By late 1996, sales in Europe totalled 2.2 million units, including 700,000 in the UK. Approximately 400 PlayStation games were in development, compared to around 200 games being developed for the Saturn and 60 for the Nintendo 64. In India, the PlayStation was launched in test market during 1999–2000 across Sony showrooms, selling 100 units. Sony finally launched the console (PS One model) countrywide on 24 January 2002 with the price of Rs 7,990 and 26 games available from start. PlayStation was also doing well in markets where it was never officially released. For example, in Brazil, due to the registration of the trademark by a third company, the console could not be released, which was why the market was taken over by the officially distributed Sega Saturn during the first period, but as the Sega console withdraws, PlayStation imports and large piracy increased. In another market, China, the most popular 32-bit console was Sega Saturn, but after leaving the market, PlayStation grown with a base of 300,000 users until January 2000, although Sony China did not have plans to release it. The PlayStation was backed by a successful marketing campaign, allowing Sony to gain an early foothold in Europe and North America. Initially, PlayStation demographics were skewed towards adults, but the audience broadened after the first price drop. While the Saturn was positioned towards 18- to 34-year-olds, the PlayStation was initially marketed exclusively towards teenagers. Executives from both Sony and Sega reasoned that because younger players typically looked up to older, more experienced players, advertising targeted at teens and adults would draw them in too. Additionally, Sony found that adults reacted best to advertising aimed at teenagers; Lee Clow surmised that people who started to grow into adulthood regressed and became "17 again" when they played video games. The console was marketed with advertising slogans stylised as "LIVE IN YUR WRLD. PLY IN URS" (Live in Your World. Play in Ours.) and "U R NOT E" (red E). The four geometric shapes were derived from the symbols for the four buttons on the controller. Clow thought that by invoking such provocative statements, gamers would respond to the contrary and say "'Bullshit. Let me show you how ready I am.'" As the console's appeal enlarged, Sony's marketing efforts broadened from their earlier focus on mature players to specifically target younger children as well. Shortly after the PlayStation's release in Europe, Sony tasked marketing manager Geoff Glendenning with assessing the desires of a new target audience. Sceptical over Nintendo and Sega's reliance on television campaigns, Glendenning theorised that young adults transitioning from fourth-generation consoles would feel neglected by marketing directed at children and teenagers. Recognising the influence early 1990s underground clubbing and rave culture had on young people, especially in the United Kingdom, Glendenning felt that the culture had become mainstream enough to help cultivate PlayStation's emerging identity. Sony partnered with prominent nightclub owners such as Ministry of Sound and festival promoters to organise dedicated PlayStation areas where demonstrations of select games could be tested. Sheffield-based graphic design studio The Designers Republic was contracted by Sony to produce promotional materials aimed at a fashionable, club-going audience. Psygnosis' Wipeout in particular became associated with nightclub culture as it was widely featured in venues. By 1997, there were 52 nightclubs in the United Kingdom with dedicated PlayStation rooms. Glendenning recalled that he had discreetly used at least £100,000 a year in slush fund money to invest in impromptu marketing. In 1996, Sony expanded their CD production facilities in the United States due to the high demand for PlayStation games, increasing their monthly output from 4 million discs to 6.5 million discs. This was necessary because PlayStation sales were running at twice the rate of Saturn sales, and its lead dramatically increased when both consoles dropped in price to $199 that year. The PlayStation also outsold the Saturn at a similar ratio in Europe during 1996, with 2.2 million consoles sold in the region by the end of the year. Sales figures for PlayStation hardware and software only increased following the launch of the Nintendo 64. Tokunaka speculated that the Nintendo 64 launch had actually helped PlayStation sales by raising public awareness of the gaming market through Nintendo's added marketing efforts. Despite this, the PlayStation took longer to achieve dominance in Japan. Tokunaka said that, even after the PlayStation and Saturn had been on the market for nearly two years, the competition between them was still "very close", and neither console had led in sales for any meaningful length of time. By 1998, Sega, encouraged by their declining market share and significant financial losses, launched the Dreamcast as a last-ditch attempt to stay in the industry. Although its launch was successful, the technically superior 128-bit console was unable to subdue Sony's dominance in the industry. Sony still held 60% of the overall video game market share in North America at the end of 1999. Sega's initial confidence in their new console was undermined when Japanese sales were lower than expected, with disgruntled Japanese consumers reportedly returning their Dreamcasts in exchange for PlayStation software. On 2 March 1999, Sony officially revealed details of the PlayStation 2, which Kutaragi announced would feature a graphics processor designed to push more raw polygons than any console in history, effectively rivalling most supercomputers. The PlayStation continued to sell strongly at the turn of the new millennium: in June 2000, Sony released the PSOne, a smaller, redesigned variant which went on to outsell all other consoles in that year, including the PlayStation 2. In 2005, PlayStation became the first console to ship 100 million units with the PlayStation 2 later achieving this faster than its predecessor. The combined successes of both PlayStation consoles led to Sega retiring the Dreamcast in 2001, and abandoning the console business entirely. The PlayStation was eventually discontinued on 23 March 2006—over eleven years after its release, and less than a year before the debut of the PlayStation 3. Hardware The main microprocessor is a R3000 CPU made by LSI Logic operating at a clock rate of 33.8688 MHz and 30 MIPS. This 32-bit CPU relies heavily on the "cop2" 3D and matrix math coprocessor on the same die to provide the necessary speed to render complex 3D graphics. The role of the separate GPU chip is to draw 2D polygons and apply shading and textures to them: the rasterisation stage of the graphics pipeline. Sony's custom 16-bit sound chip supports ADPCM sources with up to 24 sound channels and offers a sampling rate of up to 44.1 kHz and music sequencing. It features 2 MB of main RAM, with an additional 1 MB of video RAM. The PlayStation has a maximum colour depth of 16.7 million true colours with 32 levels of transparency and unlimited colour look-up tables. The PlayStation can output composite, S-Video or RGB video signals through its AV Multi connector (with older models also having RCA connectors for composite), displaying resolutions from 256×224 to 640×480 pixels. Different games can use different resolutions. Earlier models also had proprietary parallel and serial ports that could be used to connect accessories or multiple consoles together; these were later removed due to a lack of usage. The PlayStation uses a proprietary video compression unit, MDEC, which is integrated into the CPU and allows for the presentation of full motion video at a higher quality than other consoles of its generation. Unusual for the time, the PlayStation lacks a dedicated 2D graphics processor; 2D elements are instead calculated as polygons by the Geometry Transfer Engine (GTE) so that they can be processed and displayed on screen by the GPU. While running, the GPU can also generate a total of 4,000 sprites and 180,000 polygons per second, in addition to 360,000 per second flat-shaded. The PlayStation went through a number of variants during its production run. Externally, the most notable change was the gradual reduction in the number of external connectors from the rear of the unit. This started with the original Japanese launch units; the SCPH-1000, released on 3 December 1994, was the only model that had an S-Video port, as it was removed from the next model. Subsequent models saw a reduction in number of parallel ports, with the final version only retaining one serial port. Sony marketed a development kit for amateur developers known as the Net Yaroze (meaning "Let's do it together" in Japanese). It was launched in June 1996 in Japan, and following public interest, was released the next year in other countries. The Net Yaroze allowed hobbyists to create their own games and upload them via an online forum run by Sony. The console was only available to buy through an ordering service and with the necessary documentation and software to program PlayStation games and applications through C programming compilers. On 7 July 2000, Sony released the PS One (stylised as "PS one" or "PSone"), a smaller, redesigned version of the original PlayStation. It was the highest-selling console through the end of the year, outselling all other consoles—including the PlayStation 2. In 2002, Sony released a 5-inch (130 mm) LCD screen add-on for the PS One, referred to as the "Combo pack". It also included a car cigarette lighter adaptor adding an extra layer of portability. Production of the LCD "Combo Pack" ceased in 2004, when the popularity of the PlayStation began to wane in markets outside Japan. A total of 28.15 million PS One units had been sold by the time it was discontinued in March 2006. Three iterations of the PlayStation's controller were released over the console's lifespan. The first controller, the PlayStation controller, was released alongside the PlayStation in December 1994. It features four individual directional buttons (as opposed to a conventional D-pad), a pair of shoulder buttons on both sides, Start and Select buttons in the centre, and four face buttons consisting of simple geometric shapes: a green triangle, red circle, blue cross, and a pink square (, , , ). Rather than depicting traditionally used letters or numbers onto its buttons, the PlayStation controller established a trademark which would be incorporated heavily into the PlayStation brand. Teiyu Goto, the designer of the original PlayStation controller, said that the circle and cross represent "yes" and "no", respectively (though this layout is reversed in Western versions); the triangle symbolises a point of view and the square is equated to a sheet of paper to be used to access menus. The European and North American models of the original PlayStation controllers are roughly 10% larger than its Japanese variant, to account for the fact the average person in those regions has larger hands than the average Japanese person. Sony's first analogue gamepad, the PlayStation Analog Joystick (often erroneously referred to as the "Sony Flightstick"), was first released in Japan in April 1996. Featuring two parallel joysticks, it uses potentiometer technology previously used on consoles such as the Vectrex; instead of relying on binary eight-way switches, the controller detects minute angular changes through the entire range of motion. The stick also features a thumb-operated digital hat switch on the right joystick, corresponding to the traditional D-pad, and used for instances when simple digital movements were necessary. The Analog Joystick sold poorly in Japan due to its high cost and cumbersome size. The increasing popularity of 3D games prompted Sony to add analogue sticks to its controller design to give users more freedom over their movements in virtual 3D environments. The first official analogue controller, the Dual Analog Controller, was revealed to the public in a small glass booth at the 1996 PlayStation Expo in Japan, and released in April 1997 to coincide with the Japanese releases of analogue-capable games Tobal 2 and Bushido Blade. In addition to the two analogue sticks (which also introduced two new buttons mapped to clicking in the analogue sticks), the Dual Analog controller features an "Analog" button and LED beneath the "Start" and "Select" buttons which toggles analogue functionality on or off. The controller also features rumble support, though Sony decided that haptic feedback would be removed from all overseas iterations before the United States release. A Sony spokesman stated that the feature was removed for "manufacturing reasons", although rumours circulated that Nintendo had attempted to legally block the release of the controller outside Japan due to similarities with the Nintendo 64 controller's Rumble Pak. However, a Nintendo spokesman denied that Nintendo took legal action. Next Generation's Chris Charla theorised that Sony dropped vibration feedback to keep the price of the controller down. In November 1997, Sony introduced the DualShock controller. Its name derives from its use of two (dual) vibration motors (shock). Unlike its predecessor, its analogue sticks feature textured rubber grips, longer handles, slightly different shoulder buttons and has rumble feedback included as standard on all versions. The DualShock later replaced its predecessors as the default controller. Sony released a series of peripherals to add extra layers of functionality to the PlayStation. Such peripherals include memory cards, the PlayStation Mouse, the PlayStation Link Cable, the Multiplayer Adapter (a four-player multitap), the Memory Drive (a disk drive for 3.5-inch floppy disks), the GunCon (a light gun), and the Glasstron (a monoscopic head-mounted display). Released exclusively in Japan, the PocketStation is a memory card peripheral which acts as a miniature personal digital assistant. The device features a monochrome liquid crystal display (LCD), infrared communication capability, a real-time clock, built-in flash memory, and sound capability. Sharing similarities with the Dreamcast's VMU peripheral, the PocketStation was typically distributed with certain PlayStation games, enhancing them with added features. The PocketStation proved popular in Japan, selling over five million units. Sony planned to release the peripheral outside Japan but the release was cancelled, despite receiving promotion in Europe and North America. In addition to playing games, most PlayStation models are equipped to play CD-Audio. The Asian model SCPH-5903 can also play Video CDs. Like most CD players, the PlayStation can play songs in a programmed order, shuffle the playback order of the disc and repeat one song or the entire disc. Later PlayStation models use a music visualisation function called SoundScope. This function, as well as a memory card manager, is accessed by starting the console without either inserting a game or closing the CD tray, thereby accessing a graphical user interface (GUI) for the PlayStation BIOS. The GUI for the PS One and PlayStation differ depending on the firmware version: the original PlayStation GUI had a dark blue background with rainbow graffiti used as buttons, while the early PAL PlayStation and PS One GUI had a grey blocked background with two icons in the middle. PlayStation emulation is versatile and can be run on numerous modern devices. Bleem! was a commercial emulator which was released for IBM-compatible PCs and the Dreamcast in 1999. It was notable for being aggressively marketed during the PlayStation's lifetime, and was the centre of multiple controversial lawsuits filed by Sony. Bleem! was programmed in assembly language, which allowed it to emulate PlayStation games with improved visual fidelity, enhanced resolutions, and filtered textures that was not possible on original hardware. Sony sued Bleem! two days after its release, citing copyright infringement and accusing the company of engaging in unfair competition and patent infringement by allowing use of PlayStation BIOSs on a Sega console. Bleem! were subsequently forced to shut down in November 2001. Sony was aware that using CDs for game distribution could have left games vulnerable to piracy, due to the growing popularity of CD-R and optical disc drives with burning capability. To preclude illegal copying, a proprietary process for PlayStation disc manufacturing was developed that, in conjunction with an augmented optical drive in Tiger H/E assembly, prevented burned copies of games from booting on an unmodified console. Specifically, all genuine PlayStation discs were printed with a small section of deliberate irregular data, which the PlayStation's optical pick-up was capable of detecting and decoding. Consoles would not boot game discs without a specific wobble frequency contained in the data of the disc pregap sector (the same system was also used to encode discs' regional lockouts). This signal was within Red Book CD tolerances, so PlayStation discs' actual content could still be read by a conventional disc drive; however, the disc drive could not detect the wobble frequency (therefore duplicating the discs omitting it), since the laser pick-up system of any optical disc drive would interpret this wobble as an oscillation of the disc surface and compensate for it in the reading process. Early PlayStations, particularly early 1000 models, experience skipping full-motion video or physical "ticking" noises from the unit. The problems stem from poorly placed vents leading to overheating in some environments, causing the plastic mouldings inside the console to warp slightly and create knock-on effects with the laser assembly. The solution is to sit the console on a surface which dissipates heat efficiently in a well vented area or raise the unit up slightly from its resting surface. Sony representatives also recommended unplugging the PlayStation when it is not in use, as the system draws in a small amount of power (and therefore heat) even when turned off. The first batch of PlayStations use a KSM-440AAM laser unit, whose case and movable parts are all built out of plastic. Over time, the plastic lens sled rail wears out—usually unevenly—due to friction. The placement of the laser unit close to the power supply accelerates wear, due to the additional heat, which makes the plastic more vulnerable to friction. Eventually, one side of the lens sled will become so worn that the laser can tilt, no longer pointing directly at the CD; after this, games will no longer load due to data read errors. Sony fixed the problem by making the sled out of die-cast metal and placing the laser unit further away from the power supply on later PlayStation models. Due to an engineering oversight, the PlayStation does not produce a proper signal on several older models of televisions, causing the display to flicker or bounce around the screen. Sony decided not to change the console design, since only a small percentage of PlayStation owners used such televisions, and instead gave consumers the option of sending their PlayStation unit to a Sony service centre to have an official modchip installed, allowing play on older televisions. Game library The PlayStation featured a diverse game library which grew to appeal to all types of players. Critically acclaimed PlayStation games included Final Fantasy VII (1997), Crash Bandicoot (1996), Spyro the Dragon (1998), Metal Gear Solid (1998), all of which became established franchises. Final Fantasy VII is credited with allowing role-playing games to gain mass-market appeal outside Japan, and is considered one of the most influential and greatest video games ever made. The PlayStation's bestselling game is Gran Turismo (1997), which sold 10.85 million units. After the PlayStation's discontinuation in 2006, the cumulative software shipment was 962 million units. Following its 1994 launch in Japan, early games included Ridge Racer, Crime Crackers, King's Field, Motor Toon Grand Prix, Toh Shin Den (i.e. Battle Arena Toshinden), and Kileak: The Blood. The first two games available at its later North American launch were Jumping Flash! (1995) and Ridge Racer, with Jumping Flash! heralded as an ancestor for 3D graphics in console gaming. Wipeout, Air Combat, Twisted Metal, Warhawk and Destruction Derby were among the popular first-year games, and the first to be reissued as part of Sony's Greatest Hits or Platinum range. At the time of the PlayStation's first Christmas season, Psygnosis had produced around 70% of its launch catalogue; their breakthrough racing game Wipeout was acclaimed for its techno soundtrack and helped raise awareness of Britain's underground music community. Eidos Interactive's action-adventure game Tomb Raider contributed substantially to the success of the console in 1996, with its main protagonist Lara Croft becoming an early gaming icon and garnering unprecedented media promotion. Licensed tie-in video games of popular films were also prevalent; Argonaut Games' 2001 adaptation of Harry Potter and the Philosopher's Stone went on to sell over eight million copies late in the console's lifespan. Third-party developers committed largely to the console's wide-ranging game catalogue even after the launch of the PlayStation 2; some of the notable exclusives in this era include Harry Potter and the Philosopher's Stone, Fear Effect 2: Retro Helix, Syphon Filter 3, C-12: Final Resistance, Dance Dance Revolution Konamix and Digimon World 3.[c] Sony assisted with game reprints as late as 2008 with Metal Gear Solid: The Essential Collection, this being the last PlayStation game officially released and licensed by Sony. Initially, in the United States, PlayStation games were packaged in long cardboard boxes, similar to non-Japanese 3DO and Saturn games. Sony later switched to the jewel case format typically used for audio CDs and Japanese video games, as this format took up less retailer shelf space (which was at a premium due to the large number of PlayStation games being released), and focus testing showed that most consumers preferred this format. Reception The PlayStation was mostly well received upon release. Critics in the west generally welcomed the new console; the staff of Next Generation reviewed the PlayStation a few weeks after its North American launch, where they commented that, while the CPU is "fairly average", the supplementary custom hardware, such as the GPU and sound processor, is stunningly powerful. They praised the PlayStation's focus on 3D, and complemented the comfort of its controller and the convenience of its memory cards. Giving the system 41⁄2 out of 5 stars, they concluded, "To succeed in this extremely cut-throat market, you need a combination of great hardware, great games, and great marketing. Whether by skill, luck, or just deep pockets, Sony has scored three out of three in the first salvo of this war." Albert Kim from Entertainment Weekly praised the PlayStation as a technological marvel, rivalling that of Sega and Nintendo. Famicom Tsūshin scored the console a 19 out of 40, lower than the Saturn's 24 out of 40, in May 1995. In a 1997 year-end review, a team of five Electronic Gaming Monthly editors gave the PlayStation scores of 9.5, 8.5, 9.0, 9.0, and 9.5—for all five editors, the highest score they gave to any of the five consoles reviewed in the issue. They lauded the breadth and quality of the games library, saying it had vastly improved over previous years due to developers mastering the system's capabilities in addition to Sony revising their stance on 2D and role playing games. They also complimented the low price point of the games compared to the Nintendo 64's, and noted that it was the only console on the market that could be relied upon to deliver a solid stream of games for the coming year, primarily due to third party developers almost unanimously favouring it over its competitors. Legacy SCE was an upstart in the video game industry in late 1994, as the video game market in the early 1990s was dominated by Nintendo and Sega. Nintendo had been the clear leader in the industry since the introduction of the Nintendo Entertainment System in 1985 and the Nintendo 64 was initially expected to maintain this position. The PlayStation's target audience included the generation which was the first to grow up with mainstream video games, along with 18- to 29-year-olds who were not the primary focus of Nintendo. By the late 1990s, Sony became a highly regarded console brand due to the PlayStation, with a significant lead over second-place Nintendo, while Sega was relegated to a distant third. The PlayStation became the first "computer entertainment platform" to ship over 100 million units worldwide, with many critics attributing the console's success to third-party developers. It remains the sixth best-selling console of all time as of 2025[update], with a total of 102.49 million units sold. Around 7,900 individual games were published for the console during its 11-year life span, the second-most games ever produced for a console. Its success resulted in a significant financial boon for Sony as profits from their video game division contributed to 23%. Sony's next-generation PlayStation 2, which is backward compatible with the PlayStation's DualShock controller and games, was announced in 1999 and launched in 2000. The PlayStation's lead in installed base and developer support paved the way for the success of its successor, which overcame the earlier launch of the Sega's Dreamcast and then fended off competition from Microsoft's newcomer Xbox and Nintendo's GameCube. The PlayStation 2's immense success and failure of the Dreamcast were among the main factors which led to Sega abandoning the console market. To date, five PlayStation home consoles have been released, which have continued the same numbering scheme, as well as two portable systems. The PlayStation 3 also maintained backward compatibility with original PlayStation discs. Hundreds of PlayStation games have been digitally re-released on the PlayStation Portable, PlayStation 3, PlayStation Vita, PlayStation 4, and PlayStation 5. The PlayStation has often ranked among the best video game consoles. In 2018, Retro Gamer named it the third best console, crediting its sophisticated 3D capabilities as one of its key factors in gaining mass success, and lauding it as a "game-changer in every sense possible". In 2009, IGN ranked the PlayStation the seventh best console in their list, noting its appeal towards older audiences to be a crucial factor in propelling the video game industry, as well as its assistance in transitioning game industry to use the CD-ROM format. Keith Stuart from The Guardian likewise named it as the seventh best console in 2020, declaring that its success was so profound it "ruled the 1990s". In January 2025, Lorentio Brodesco announced the nsOne project, attempting to reverse engineer PlayStation's motherboard. Brodesco stated that "detailed documentation on the original motherboard was either incomplete or entirely unavailable". The project was successfully crowdfunded via Kickstarter. In June, Brodesco manufactured the first working motherboard, promising to bring a fully rooted version with multilayer routing as well as documentation and design files in the near future. The success of the PlayStation contributed to the demise of cartridge-based home consoles. While not the first system to use an optical disc format, it was the first highly successful one, and ended up going head-to-head with the proprietary cartridge-relying Nintendo 64,[d] which the industry had expected to use CDs like PlayStation. After the demise of the Sega Saturn, Nintendo was left as Sony's main competitor in Western markets. Nintendo chose not to use CDs for the Nintendo 64; they were likely concerned with the proprietary cartridge format's ability to help enforce copy protection, given their substantial reliance on licensing and exclusive games for their revenue. Besides their larger capacity, CD-ROMs could be produced in bulk quantities at a much faster rate than ROM cartridges, a week compared to two to three months. Further, the cost of production per unit was far cheaper, allowing Sony to offer games about 40% lower cost to the user compared to ROM cartridges while still making the same amount of net revenue. In Japan, Sony published fewer copies of a wide variety of games for the PlayStation as a risk-limiting step, a model that had been used by Sony Music for CD audio discs. The production flexibility of CD-ROMs meant that Sony could produce larger volumes of popular games to get onto the market quickly, something that could not be done with cartridges due to their manufacturing lead time. The lower production costs of CD-ROMs also allowed publishers an additional source of profit: budget-priced reissues of games which had already recouped their development costs. Tokunaka remarked in 1996: Choosing CD-ROM is one of the most important decisions that we made. As I'm sure you understand, PlayStation could just as easily have worked with masked ROM [cartridges]. The 3D engine and everything—the whole PlayStation format—is independent of the media. But for various reasons (including the economies for the consumer, the ease of the manufacturing, inventory control for the trade, and also the software publishers) we deduced that CD-ROM would be the best media for PlayStation. The increasing complexity of developing games pushed cartridges to their storage limits and gradually discouraged some third-party developers. Part of the CD format's appeal to publishers was that they could be produced at a significantly lower cost and offered more production flexibility to meet demand. As a result, some third-party developers switched to the PlayStation, including Square and Enix, whose Final Fantasy VII and Dragon Quest VII respectively had been planned for the Nintendo 64 (both companies later merged to form Square Enix). Other developers released fewer games for the Nintendo 64 (Konami, releasing only thirteen N64 games but over fifty on the PlayStation). Nintendo 64 game releases were less frequent than the PlayStation's, with many being developed by either Nintendo themselves or second-parties such as Rare. The PlayStation Classic is a dedicated video game console made by Sony Interactive Entertainment that emulates PlayStation games. It was announced in September 2018 at the Tokyo Game Show, and released on 3 December 2018, the 24th anniversary of the release of the original console. As a dedicated console, the PlayStation Classic features 20 pre-installed games; the games run off the open source emulator PCSX. The console is bundled with two replica wired PlayStation controllers (those without analogue sticks), an HDMI cable, and a USB-Type A cable. Internally, the console uses a MediaTek MT8167a Quad A35 system on a chip with four central processing cores clocked at @ 1.5 GHz and a Power VR GE8300 graphics processing unit. It includes 16 GB of eMMC flash storage and 1 Gigabyte of DDR3 SDRAM. The PlayStation Classic is 45% smaller than the original console. The PlayStation Classic received negative reviews from critics and was compared unfavorably to Nintendo's rival Nintendo Entertainment System Classic Edition and Super Nintendo Entertainment System Classic Edition. Criticism was directed at its meagre game library, user interface, emulation quality, use of PAL versions for certain games, use of the original controller, and high retail price, though the console's design received praise. The console sold poorly. See also Notes References |
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[SOURCE: https://dev.to/code-of-conduct] | [TOKENS: 452] |
DEV Community Code of Conduct Last updated July 31, 2023 All participants of DEV Community are expected to abide by our Code of Conduct and Terms of Service, both online and during in-person events that are hosted and/or associated with DEV Community. Our Pledge In the interest of fostering an open and welcoming environment, we as moderators of DEV Community pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. Our Standards Examples of behavior that contributes to creating a positive environment include: Examples of unacceptable behavior by participants include: We pledge to prioritize marginalized people's safety over privileged people's comfort. We will not act on complaints regarding: Enforcement Violations of the Code of Conduct may be reported by contacting the team via the abuse report form or by sending an email to support@dev.to. All reports will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances. Further details of specific enforcement policies may be posted separately. Moderators have the right and responsibility to remove comments or other contributions that are not aligned to this Code of Conduct or to suspend temporarily or permanently any members for other behaviors that they deem inappropriate, threatening, offensive, or harmful. If you agree with our values and would like to help us enforce the Code of Conduct, you might consider volunteering as a DEV moderator. Please check out the DEV Community Moderation page for information about our moderator roles and how to become a mod. Attribution This Code of Conduct is adapted from: 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails. DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. |
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DEV Community Discussion Threads Discussion threads targeting the whole community These posts should include a question, prompt, or topic that initiates a discussion in the comments section. Posts A New Chapter: DEV is Joining Forces with Major League Hacking (MLH) What was your win this week? Why did you become a Developer? What does MLH stand for? The Meter Was Always Running What Do You Want to Know About Antigravity? If You See These Red Flags in an IT Interview — Run (Real Stories) Are markdown files becoming the new dot files? Stop Copy-Pasting Your GitHub Projects: Automate Your Dev Resume The most valuable skill in 2026 isn't writing code. It is deleting it. 🚨 The Rise of Criminal Bounties on Emerging Hiring Platforms (And How Developers Are Being Targeted) The Hidden Job Market Is Real — And Most Developers Are Ignoring It Vibe Coding Is Rewriting the Rules of Software Development Daily Challenge #9 : The "Steady Hand" Maze 🖱️ The Slow Death of Curiosity in Senior Developers 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails. DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. |
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[SOURCE: https://en.wikipedia.org/wiki/Black_hole#cite_note-117] | [TOKENS: 13839] |
Contents Black hole A black hole is an astronomical body so compact that its gravity prevents anything, including light, from escaping. Albert Einstein's theory of general relativity predicts that a sufficiently compact mass will form a black hole. The boundary of no escape is called the event horizon. In general relativity, a black hole's event horizon seals an object's fate but produces no locally detectable change when crossed. General relativity also predicts that every black hole should have a central singularity, where the curvature of spacetime is infinite. In many ways, a black hole acts like an ideal black body, as it reflects no light. Quantum field theory in curved spacetime predicts that event horizons emit Hawking radiation, with the same spectrum as a black body of a temperature inversely proportional to its mass. This temperature is of the order of billionths of a kelvin for stellar black holes, making it essentially impossible to observe directly. Objects whose gravitational fields are too strong for light to escape were first considered in the 18th century by John Michell and Pierre-Simon Laplace. In 1916, Karl Schwarzschild found the first modern solution of general relativity that would characterise a black hole. Due to his influential research, the Schwarzschild metric is named after him. David Finkelstein, in 1958, first interpreted Schwarzschild's model as a region of space from which nothing can escape. Black holes were long considered a mathematical curiosity; it was not until the 1960s that theoretical work showed they were a generic prediction of general relativity. The first black hole known was Cygnus X-1, identified by several researchers independently in 1971. Black holes typically form when massive stars collapse at the end of their life cycle. After a black hole has formed, it can grow by absorbing mass from its surroundings. Supermassive black holes of millions of solar masses may form by absorbing other stars and merging with other black holes, or via direct collapse of gas clouds. There is consensus that supermassive black holes exist in the centres of most galaxies. The presence of a black hole can be inferred through its interaction with other matter and with electromagnetic radiation such as visible light. Matter falling toward a black hole can form an accretion disk of infalling plasma, heated by friction and emitting light. In extreme cases, this creates a quasar, some of the brightest objects in the universe. Merging black holes can also be detected by observation of the gravitational waves they emit. If other stars are orbiting a black hole, their orbits can be used to determine the black hole's mass and location. Such observations can be used to exclude possible alternatives such as neutron stars. In this way, astronomers have identified numerous stellar black hole candidates in binary systems and established that the radio source known as Sagittarius A*, at the core of the Milky Way galaxy, contains a supermassive black hole of about 4.3 million solar masses. History The idea of a body so massive that even light could not escape was first proposed in the late 18th century by English astronomer and clergyman John Michell and independently by French scientist Pierre-Simon Laplace. Both scholars proposed very large stars in contrast to the modern concept of an extremely dense object. Michell's idea, in a short part of a letter published in 1784, calculated that a star with the same density but 500 times the radius of the sun would not let any emitted light escape; the surface escape velocity would exceed the speed of light.: 122 Michell correctly hypothesized that such supermassive but non-radiating bodies might be detectable through their gravitational effects on nearby visible bodies. In 1796, Laplace mentioned that a star could be invisible if it were sufficiently large while speculating on the origin of the Solar System in his book Exposition du Système du Monde. Franz Xaver von Zach asked Laplace for a mathematical analysis, which Laplace provided and published in a journal edited by von Zach. In 1905, Albert Einstein showed that the laws of electromagnetism would be invariant under a Lorentz transformation: they would be identical for observers travelling at different velocities relative to each other. This discovery became known as the principle of special relativity. Although the laws of mechanics had already been shown to be invariant, gravity remained yet to be included.: 19 In 1907, Einstein published a paper proposing his equivalence principle, the hypothesis that inertial mass and gravitational mass have a common cause. Using the principle, Einstein predicted the redshift and half of the lensing effect of gravity on light; the full prediction of gravitational lensing required development of general relativity.: 19 By 1915, Einstein refined these ideas into his general theory of relativity, which explained how matter affects spacetime, which in turn affects the motion of other matter. This formed the basis for black hole physics. Only a few months after Einstein published the field equations describing general relativity, astrophysicist Karl Schwarzschild set out to apply the idea to stars. He assumed spherical symmetry with no spin and found a solution to Einstein's equations.: 124 A few months after Schwarzschild, Johannes Droste, a student of Hendrik Lorentz, independently gave the same solution. At a certain radius from the center of the mass, the Schwarzschild solution became singular, meaning that some of the terms in the Einstein equations became infinite. The nature of this radius, which later became known as the Schwarzschild radius, was not understood at the time. Many physicists of the early 20th century were skeptical of the existence of black holes. In a 1926 popular science book, Arthur Eddington critiqued the idea of a star with mass compressed to its Schwarzschild radius as a flaw in the then-poorly-understood theory of general relativity.: 134 In 1939, Einstein himself used his theory of general relativity in an attempt to prove that black holes were impossible. His work relied on increasing pressure or increasing centrifugal force balancing the force of gravity so that the object would not collapse beyond its Schwarzschild radius. He missed the possibility that implosion would drive the system below this critical value.: 135 By the 1920s, astronomers had classified a number of white dwarf stars as too cool and dense to be explained by the gradual cooling of ordinary stars. In 1926, Ralph Fowler showed that quantum-mechanical degeneracy pressure was larger than thermal pressure at these densities.: 145 In 1931, Subrahmanyan Chandrasekhar calculated that a non-rotating body of electron-degenerate matter below a certain limiting mass is stable, and by 1934 he showed that this explained the catalog of white dwarf stars.: 151 When Chandrasekhar announced his results, Eddington pointed out that stars above this limit would radiate until they were sufficiently dense to prevent light from exiting, a conclusion he considered absurd. Eddington and, later, Lev Landau argued that some yet unknown mechanism would stop the collapse. In the 1930s, Fritz Zwicky and Walter Baade studied stellar novae, focusing on exceptionally bright ones they called supernovae. Zwicky promoted the idea that supernovae produced stars with the density of atomic nuclei—neutron stars—but this idea was largely ignored.: 171 In 1939, based on Chandrasekhar's reasoning, J. Robert Oppenheimer and George Volkoff predicted that neutron stars below a certain mass limit, later called the Tolman–Oppenheimer–Volkoff limit, would be stable due to neutron degeneracy pressure. Above that limit, they reasoned that either their model would not apply or that gravitational contraction would not stop.: 380 John Archibald Wheeler and two of his students resolved questions about the model behind the Tolman–Oppenheimer–Volkoff (TOV) limit. Harrison and Wheeler developed the equations of state relating density to pressure for cold matter all the way through electron degeneracy and neutron degeneracy. Masami Wakano and Wheeler then used the equations to compute the equilibrium curve for stars, relating mass to circumference. They found no additional features that would invalidate the TOV limit. This meant that the only thing that could prevent black holes from forming was a dynamic process ejecting sufficient mass from a star as it cooled.: 205 The modern concept of black holes was formulated by Robert Oppenheimer and his student Hartland Snyder in 1939.: 80 In the paper, Oppenheimer and Snyder solved Einstein's equations of general relativity for an idealized imploding star, in a model later called the Oppenheimer–Snyder model, then described the results from far outside the star. The implosion starts as one might expect: the star material rapidly collapses inward. However, as the density of the star increases, gravitational time dilation increases and the collapse, viewed from afar, seems to slow down further and further until the star reaches its Schwarzschild radius, where it appears frozen in time.: 217 In 1958, David Finkelstein identified the Schwarzschild surface as an event horizon, calling it "a perfect unidirectional membrane: causal influences can cross it in only one direction". In this sense, events that occur inside of the black hole cannot affect events that occur outside of the black hole. Finkelstein created a new reference frame to include the point of view of infalling observers.: 103 Finkelstein's new frame of reference allowed events at the surface of an imploding star to be related to events far away. By 1962 the two points of view were reconciled, convincing many skeptics that implosion into a black hole made physical sense.: 226 The era from the mid-1960s to the mid-1970s was the "golden age of black hole research", when general relativity and black holes became mainstream subjects of research.: 258 In this period, more general black hole solutions were found. In 1963, Roy Kerr found the exact solution for a rotating black hole. Two years later, Ezra Newman found the cylindrically symmetric solution for a black hole that is both rotating and electrically charged. In 1967, Werner Israel found that the Schwarzschild solution was the only possible solution for a nonspinning, uncharged black hole, meaning that a Schwarzschild black hole would be defined by its mass alone. Similar identities were later found for Reissner-Nordstrom and Kerr black holes, defined only by their mass and their charge or spin respectively. Together, these findings became known as the no-hair theorem, which states that a stationary black hole is completely described by the three parameters of the Kerr–Newman metric: mass, angular momentum, and electric charge. At first, it was suspected that the strange mathematical singularities found in each of the black hole solutions only appeared due to the assumption that a black hole would be perfectly spherically symmetric, and therefore the singularities would not appear in generic situations where black holes would not necessarily be symmetric. This view was held in particular by Vladimir Belinski, Isaak Khalatnikov, and Evgeny Lifshitz, who tried to prove that no singularities appear in generic solutions, although they would later reverse their positions. However, in 1965, Roger Penrose proved that general relativity without quantum mechanics requires that singularities appear in all black holes. Astronomical observations also made great strides during this era. In 1967, Antony Hewish and Jocelyn Bell Burnell discovered pulsars and by 1969, these were shown to be rapidly rotating neutron stars. Until that time, neutron stars, like black holes, were regarded as just theoretical curiosities, but the discovery of pulsars showed their physical relevance and spurred a further interest in all types of compact objects that might be formed by gravitational collapse. Based on observations in Greenwich and Toronto in the early 1970s, Cygnus X-1, a galactic X-ray source discovered in 1964, became the first astronomical object commonly accepted to be a black hole. Work by James Bardeen, Jacob Bekenstein, Carter, and Hawking in the early 1970s led to the formulation of black hole thermodynamics. These laws describe the behaviour of a black hole in close analogy to the laws of thermodynamics by relating mass to energy, area to entropy, and surface gravity to temperature. The analogy was completed: 442 when Hawking, in 1974, showed that quantum field theory implies that black holes should radiate like a black body with a temperature proportional to the surface gravity of the black hole, predicting the effect now known as Hawking radiation. While Cygnus X-1, a stellar-mass black hole, was generally accepted by the scientific community as a black hole by the end of 1973, it would be decades before a supermassive black hole would gain the same broad recognition. Although, as early as the 1960s, physicists such as Donald Lynden-Bell and Martin Rees had suggested that powerful quasars in the center of galaxies were powered by accreting supermassive black holes, little observational proof existed at the time. However, the Hubble Space Telescope, launched decades later, found that supermassive black holes were not only present in these active galactic nuclei, but that supermassive black holes in the center of galaxies were ubiquitous: Almost every galaxy had a supermassive black hole at its center, many of which were quiescent. In 1999, David Merritt proposed the M–sigma relation, which related the dispersion of the velocity of matter in the center bulge of a galaxy to the mass of the supermassive black hole at its core. Subsequent studies confirmed this correlation. Around the same time, based on telescope observations of the velocities of stars at the center of the Milky Way galaxy, independent work groups led by Andrea Ghez and Reinhard Genzel concluded that the compact radio source in the center of the galaxy, Sagittarius A*, was likely a supermassive black hole. On 11 February 2016, the LIGO Scientific Collaboration and Virgo Collaboration announced the first direct detection of gravitational waves, named GW150914, representing the first observation of a black hole merger. At the time of the merger, the black holes were approximately 1.4 billion light-years away from Earth and had masses of 30 and 35 solar masses.: 6 In 2017, Rainer Weiss, Kip Thorne, and Barry Barish, who had spearheaded the project, were awarded the Nobel Prize in Physics for their work. Since the initial discovery in 2015, hundreds more gravitational waves have been observed by LIGO and another interferometer, Virgo. On 10 April 2019, the first direct image of a black hole and its vicinity was published, following observations made by the Event Horizon Telescope (EHT) in 2017 of the supermassive black hole in Messier 87's galactic centre. In 2022, the Event Horizon Telescope collaboration released an image of the black hole in the center of the Milky Way galaxy, Sagittarius A*; The data had been collected in 2017. In 2020, the Nobel Prize in Physics was awarded for work on black holes. Andrea Ghez and Reinhard Genzel shared one-half for their discovery that Sagittarius A* is a supermassive black hole. Penrose received the other half for his work showing that the mathematics of general relativity requires the formation of black holes. Cosmologists lamented that Hawking's extensive theoretical work on black holes would not be honored since he died in 2018. In December 1967, a student reportedly suggested the phrase black hole at a lecture by John Wheeler; Wheeler adopted the term for its brevity and "advertising value", and Wheeler's stature in the field ensured it quickly caught on, leading some to credit Wheeler with coining the phrase. However, the term was used by others around that time. Science writer Marcia Bartusiak traces the term black hole to physicist Robert H. Dicke, who in the early 1960s reportedly compared the phenomenon to the Black Hole of Calcutta, notorious as a prison where people entered but never left alive. The term was used in print by Life and Science News magazines in 1963, and by science journalist Ann Ewing in her article "'Black Holes' in Space", dated 18 January 1964, which was a report on a meeting of the American Association for the Advancement of Science held in Cleveland, Ohio. Definition A black hole is generally defined as a region of spacetime from which no information-carrying signals or objects can escape. However, verifying an object as a black hole by this definition would require waiting for an infinite time and at an infinite distance from the black hole to verify that indeed, nothing has escaped, and thus cannot be used to identify a physical black hole. Broadly, physicists do not have a precisely-agreed-upon definition of a black hole. Among astrophysicists, a black hole is a compact object with a mass larger than four solar masses. A black hole may also be defined as a reservoir of information: 142 or a region where space is falling inwards faster than the speed of light. Properties The no-hair theorem postulates that, once it achieves a stable condition after formation, a black hole has only three independent physical properties: mass, electric charge, and angular momentum; the black hole is otherwise featureless. If the conjecture is true, any two black holes that share the same values for these properties, or parameters, are indistinguishable from one another. The degree to which the conjecture is true for real black holes is currently an unsolved problem. The simplest static black holes have mass but neither electric charge nor angular momentum. According to Birkhoff's theorem, these Schwarzschild black holes are the only vacuum solution that is spherically symmetric. Solutions describing more general black holes also exist. Non-rotating charged black holes are described by the Reissner–Nordström metric, while the Kerr metric describes a non-charged rotating black hole. The most general stationary black hole solution known is the Kerr–Newman metric, which describes a black hole with both charge and angular momentum. The simplest static black holes have mass but neither electric charge nor angular momentum. Contrary to the popular notion of a black hole "sucking in everything" in its surroundings, from far away, the external gravitational field of a black hole is identical to that of any other body of the same mass. While a black hole can theoretically have any positive mass, the charge and angular momentum are constrained by the mass. The total electric charge Q and the total angular momentum J are expected to satisfy the inequality Q 2 4 π ϵ 0 + c 2 J 2 G M 2 ≤ G M 2 {\displaystyle {\frac {Q^{2}}{4\pi \epsilon _{0}}}+{\frac {c^{2}J^{2}}{GM^{2}}}\leq GM^{2}} for a black hole of mass M. Black holes with the maximum possible charge or spin satisfying this inequality are called extremal black holes. Solutions of Einstein's equations that violate this inequality exist, but they do not possess an event horizon. These are so-called naked singularities that can be observed from the outside. Because these singularities make the universe inherently unpredictable, many physicists believe they could not exist. The weak cosmic censorship hypothesis, proposed by Sir Roger Penrose, rules out the formation of such singularities, when they are created through the gravitational collapse of realistic matter. However, this theory has not yet been proven, and some physicists believe that naked singularities could exist. It is also unknown whether black holes could even become extremal, forming naked singularities, since natural processes counteract increasing spin and charge when a black hole becomes near-extremal. The total mass of a black hole can be estimated by analyzing the motion of objects near the black hole, such as stars or gas. All black holes spin, often fast—One supermassive black hole, GRS 1915+105 has been estimated to spin at over 1,000 revolutions per second. The Milky Way's central black hole Sagittarius A* rotates at about 90% of the maximum rate. The spin rate can be inferred from measurements of atomic spectral lines in the X-ray range. As gas near the black hole plunges inward, high energy X-ray emission from electron-positron pairs illuminates the gas further out, appearing red-shifted due to relativistic effects. Depending on the spin of the black hole, this plunge happens at different radii from the hole, with different degrees of redshift. Astronomers can use the gap between the x-ray emission of the outer disk and the redshifted emission from plunging material to determine the spin of the black hole. A newer way to estimate spin is based on the temperature of gasses accreting onto the black hole. The method requires an independent measurement of the black hole mass and inclination angle of the accretion disk followed by computer modeling. Gravitational waves from coalescing binary black holes can also provide the spin of both progenitor black holes and the merged hole, but such events are rare. A spinning black hole has angular momentum. The supermassive black hole in the center of the Messier 87 (M87) galaxy appears to have an angular momentum very close to the maximum theoretical value. That uncharged limit is J ≤ G M 2 c , {\displaystyle J\leq {\frac {GM^{2}}{c}},} allowing definition of a dimensionless spin magnitude such that 0 ≤ c J G M 2 ≤ 1. {\displaystyle 0\leq {\frac {cJ}{GM^{2}}}\leq 1.} Most black holes are believed to have an approximately neutral charge. For example, Michal Zajaček, Arman Tursunov, Andreas Eckart, and Silke Britzen found the electric charge of Sagittarius A* to be at least ten orders of magnitude below the theoretical maximum. A charged black hole repels other like charges just like any other charged object. If a black hole were to become charged, particles with an opposite sign of charge would be pulled in by the extra electromagnetic force, while particles with the same sign of charge would be repelled, neutralizing the black hole. This effect may not be as strong if the black hole is also spinning. The presence of charge can reduce the diameter of the black hole by up to 38%. The charge Q for a nonspinning black hole is bounded by Q ≤ G M , {\displaystyle Q\leq {\sqrt {G}}M,} where G is the gravitational constant and M is the black hole's mass. Classification Black holes can have a wide range of masses. The minimum mass of a black hole formed by stellar gravitational collapse is governed by the maximum mass of a neutron star and is believed to be approximately two-to-four solar masses. However, theoretical primordial black holes, believed to have formed soon after the Big Bang, could be far smaller, with masses as little as 10−5 grams at formation. These very small black holes are sometimes called micro black holes. Black holes formed by stellar collapse are called stellar black holes. Estimates of their maximum mass at formation vary, but generally range from 10 to 100 solar masses, with higher estimates for black holes progenated by low-metallicity stars. The mass of a black hole formed via a supernova has a lower bound: If the progenitor star is too small, the collapse may be stopped by the degeneracy pressure of the star's constituents, allowing the condensation of matter into an exotic denser state. Degeneracy pressure occurs from the Pauli exclusion principle—Particles will resist being in the same place as each other. Smaller progenitor stars, with masses less than about 8 M☉, will be held together by the degeneracy pressure of electrons and will become a white dwarf. For more massive progenitor stars, electron degeneracy pressure is no longer strong enough to resist the force of gravity and the star will be held together by neutron degeneracy pressure, which can occur at much higher densities, forming a neutron star. If the star is still too massive, even neutron degeneracy pressure will not be able to resist the force of gravity and the star will collapse into a black hole.: 5.8 Stellar black holes can also gain mass via accretion of nearby matter, often from a companion object such as a star. Black holes that are larger than stellar black holes but smaller than supermassive black holes are called intermediate-mass black holes, with masses of approximately 102 to 105 solar masses. These black holes seem to be rarer than their stellar and supermassive counterparts, with relatively few candidates having been observed. Physicists have speculated that such black holes may form from collisions in globular and star clusters or at the center of low-mass galaxies. They may also form as the result of mergers of smaller black holes, with several LIGO observations finding merged black holes within the 110-350 solar mass range. The black holes with the largest masses are called supermassive black holes, with masses more than 106 times that of the Sun. These black holes are believed to exist at the centers of almost every large galaxy, including the Milky Way. Some scientists have proposed a subcategory of even larger black holes, called ultramassive black holes, with masses greater than 109-1010 solar masses. Theoretical models predict that the accretion disc that feeds black holes will be unstable once a black hole reaches 50-100 billion times the mass of the Sun, setting a rough upper limit to black hole mass. Structure While black holes are conceptually invisible sinks of all matter and light, in astronomical settings, their enormous gravity alters the motion of surrounding objects and pulls nearby gas inwards at near-light speed, making the area around black holes the brightest objects in the universe. Some black holes have relativistic jets—thin streams of plasma travelling away from the black hole at more than one-tenth of the speed of light. A small faction of the matter falling towards the black hole gets accelerated away along the hole rotation axis. These jets can extend as far as millions of parsecs from the black hole itself. Black holes of any mass can have jets. However, they are typically observed around spinning black holes with strongly-magnetized accretion disks. Relativistic jets were more common in the early universe, when galaxies and their corresponding supermassive black holes were rapidly gaining mass. All black holes with jets also have an accretion disk, but the jets are usually brighter than the disk. Quasars, typically found in other galaxies, are believed to be supermassive black holes with jets; microquasars are believed to be stellar-mass objects with jets, typically observed in the Milky Way. The mechanism of formation of jets is not yet known, but several options have been proposed. One method proposed to fuel these jets is the Blandford-Znajek process, which suggests that the dragging of magnetic field lines by a black hole's rotation could launch jets of matter into space. The Penrose process, which involves extraction of a black hole's rotational energy, has also been proposed as a potential mechanism of jet propulsion. Due to conservation of angular momentum, gas falling into the gravitational well created by a massive object will typically form a disk-like structure around the object.: 242 As the disk's angular momentum is transferred outward due to internal processes, its matter falls farther inward, converting its gravitational energy into heat and releasing a large flux of x-rays. The temperature of these disks can range from thousands to millions of Kelvin, and temperatures can differ throughout a single accretion disk. Accretion disks can also emit in other parts of the electromagnetic spectrum, depending on the disk's turbulence and magnetization and the black hole's mass and angular momentum. Accretion disks can be defined as geometrically thin or geometrically thick. Geometrically thin disks are mostly confined to the black hole's equatorial plane and have a well-defined edge at the innermost stable circular orbit (ISCO), while geometrically thick disks are supported by internal pressure and temperature and can extend inside the ISCO. Disks with high rates of electron scattering and absorption, appearing bright and opaque, are called optically thick; optically thin disks are more translucent and produce fainter images when viewed from afar. Accretion disks of black holes accreting beyond the Eddington limit are often referred to as polish donuts due to their thick, toroidal shape that resembles that of a donut. Quasar accretion disks are expected to usually appear blue in color. The disk for a stellar black hole, on the other hand, would likely look orange, yellow, or red, with its inner regions being the brightest. Theoretical research suggests that the hotter a disk is, the bluer it should be, although this is not always supported by observations of real astronomical objects. Accretion disk colors may also be altered by the Doppler effect, with the part of the disk travelling towards an observer appearing bluer and brighter and the part of the disk travelling away from the observer appearing redder and dimmer. In Newtonian gravity, test particles can stably orbit at arbitrary distances from a central object. In general relativity, however, there exists a smallest possible radius for which a massive particle can orbit stably. Any infinitesimal inward perturbations to this orbit will lead to the particle spiraling into the black hole, and any outward perturbations will, depending on the energy, cause the particle to spiral in, move to a stable orbit further from the black hole, or escape to infinity. This orbit is called the innermost stable circular orbit, or ISCO. The location of the ISCO depends on the spin of the black hole and the spin of the particle itself. In the case of a Schwarzschild black hole (spin zero) and a particle without spin, the location of the ISCO is: r I S C O = 3 r s = 6 G M c 2 , {\displaystyle r_{\rm {ISCO}}=3\,r_{\text{s}}={\frac {6\,GM}{c^{2}}},} where r I S C O {\displaystyle r_{\rm {_{ISCO}}}} is the radius of the ISCO, r s {\displaystyle r_{\text{s}}} is the Schwarzschild radius of the black hole, G {\displaystyle G} is the gravitational constant, and c {\displaystyle c} is the speed of light. The radius of this orbit changes slightly based on particle spin. For charged black holes, the ISCO moves inwards. For spinning black holes, the ISCO is moved inwards for particles orbiting in the same direction that the black hole is spinning (prograde) and outwards for particles orbiting in the opposite direction (retrograde). For example, the ISCO for a particle orbiting retrograde can be as far out as about 9 r s {\displaystyle 9r_{\text{s}}} , while the ISCO for a particle orbiting prograde can be as close as at the event horizon itself. The photon sphere is a spherical boundary for which photons moving on tangents to that sphere are bent completely around the black hole, possibly orbiting multiple times. Light rays with impact parameters less than the radius of the photon sphere enter the black hole. For Schwarzschild black holes, the photon sphere has a radius 1.5 times the Schwarzschild radius; the radius for non-Schwarzschild black holes is at least 1.5 times the radius of the event horizon. When viewed from a great distance, the photon sphere creates an observable black hole shadow. Since no light emerges from within the black hole, this shadow is the limit for possible observations.: 152 The shadow of colliding black holes should have characteristic warped shapes, allowing scientists to detect black holes that are about to merge. While light can still escape from the photon sphere, any light that crosses the photon sphere on an inbound trajectory will be captured by the black hole. Therefore, any light that reaches an outside observer from the photon sphere must have been emitted by objects between the photon sphere and the event horizon. Light emitted towards the photon sphere may also curve around the black hole and return to the emitter. For a rotating, uncharged black hole, the radius of the photon sphere depends on the spin parameter and whether the photon is orbiting prograde or retrograde. For a photon orbiting prograde, the photon sphere will be 1-3 Schwarzschild radii from the center of the black hole, while for a photon orbiting retrograde, the photon sphere will be between 3-5 Schwarzschild radii from the center of the black hole. The exact location of the photon sphere depends on the magnitude of the black hole's rotation. For a charged, nonrotating black hole, there will only be one photon sphere, and the radius of the photon sphere will decrease for increasing black hole charge. For non-extremal, charged, rotating black holes, there will always be two photon spheres, with the exact radii depending on the parameters of the black hole. Near a rotating black hole, spacetime rotates similar to a vortex. The rotating spacetime will drag any matter and light into rotation around the spinning black hole. This effect of general relativity, called frame dragging, gets stronger closer to the spinning mass. The region of spacetime in which it is impossible to stay still is called the ergosphere. The ergosphere of a black hole is a volume bounded by the black hole's event horizon and the ergosurface, which coincides with the event horizon at the poles but bulges out from it around the equator. Matter and radiation can escape from the ergosphere. Through the Penrose process, objects can emerge from the ergosphere with more energy than they entered with. The extra energy is taken from the rotational energy of the black hole, slowing down the rotation of the black hole.: 268 A variation of the Penrose process in the presence of strong magnetic fields, the Blandford–Znajek process, is considered a likely mechanism for the enormous luminosity and relativistic jets of quasars and other active galactic nuclei. The observable region of spacetime around a black hole closest to its event horizon is called the plunging region. In this area it is no longer possible for free falling matter to follow circular orbits or stop a final descent into the black hole. Instead, it will rapidly plunge toward the black hole at close to the speed of light, growing increasingly hot and producing a characteristic, detectable thermal emission. However, light and radiation emitted from this region can still escape from the black hole's gravitational pull. For a nonspinning, uncharged black hole, the radius of the event horizon, or Schwarzschild radius, is proportional to the mass, M, through r s = 2 G M c 2 ≈ 2.95 M M ⊙ k m , {\displaystyle r_{\mathrm {s} }={\frac {2GM}{c^{2}}}\approx 2.95\,{\frac {M}{M_{\odot }}}~\mathrm {km,} } where rs is the Schwarzschild radius and M☉ is the mass of the Sun.: 124 For a black hole with nonzero spin or electric charge, the radius is smaller,[Note 1] until an extremal black hole could have an event horizon close to r + = G M c 2 , {\displaystyle r_{\mathrm {+} }={\frac {GM}{c^{2}}},} half the radius of a nonspinning, uncharged black hole of the same mass. Since the volume within the Schwarzschild radius increase with the cube of the radius, average density of a black hole inside its Schwarzschild radius is inversely proportional to the square of its mass: supermassive black holes are much less dense than stellar black holes. The average density of a 108 M☉ black hole is comparable to that of water. The defining feature of a black hole is the existence of an event horizon, a boundary in spacetime through which matter and light can pass only inward towards the center of the black hole. Nothing, not even light, can escape from inside the event horizon. The event horizon is referred to as such because if an event occurs within the boundary, information from that event cannot reach or affect an outside observer, making it impossible to determine whether such an event occurred.: 179 For non-rotating black holes, the geometry of the event horizon is precisely spherical, while for rotating black holes, the event horizon is oblate. To a distant observer, a clock near a black hole would appear to tick more slowly than one further from the black hole.: 217 This effect, known as gravitational time dilation, would also cause an object falling into a black hole to appear to slow as it approached the event horizon, never quite reaching the horizon from the perspective of an outside observer.: 218 All processes on this object would appear to slow down, and any light emitted by the object to appear redder and dimmer, an effect known as gravitational redshift. An object falling from half of a Schwarzschild radius above the event horizon would fade away until it could no longer be seen, disappearing from view within one hundredth of a second. It would also appear to flatten onto the black hole, joining all other material that had ever fallen into the hole. On the other hand, an observer falling into a black hole would not notice any of these effects as they cross the event horizon. Their own clocks appear to them to tick normally, and they cross the event horizon after a finite time without noting any singular behaviour. In general relativity, it is impossible to determine the location of the event horizon from local observations, due to Einstein's equivalence principle.: 222 Black holes that are rotating and/or charged have an inner horizon, often called the Cauchy horizon, inside of the black hole. The inner horizon is divided up into two segments: an ingoing section and an outgoing section. At the ingoing section of the Cauchy horizon, radiation and matter that fall into the black hole would build up at the horizon, causing the curvature of spacetime to go to infinity. This would cause an observer falling in to experience tidal forces. This phenomenon is often called mass inflation, since it is associated with a parameter dictating the black hole's internal mass growing exponentially, and the buildup of tidal forces is called the mass-inflation singularity or Cauchy horizon singularity. Some physicists have argued that in realistic black holes, accretion and Hawking radiation would stop mass inflation from occurring. At the outgoing section of the inner horizon, infalling radiation would backscatter off of the black hole's spacetime curvature and travel outward, building up at the outgoing Cauchy horizon. This would cause an infalling observer to experience a gravitational shock wave and tidal forces as the spacetime curvature at the horizon grew to infinity. This buildup of tidal forces is called the shock singularity. Both of these singularities are weak, meaning that an object crossing them would only be deformed a finite amount by tidal forces, even though the spacetime curvature would still be infinite at the singularity. This is as opposed to a strong singularity, where an object hitting the singularity would be stretched and squeezed by an infinite amount. They are also null singularities, meaning that a photon could travel parallel to the them without ever being intercepted. Ignoring quantum effects, every black hole has a singularity inside, points where the curvature of spacetime becomes infinite, and geodesics terminate within a finite proper time.: 205 For a non-rotating black hole, this region takes the shape of a single point; for a rotating black hole it is smeared out to form a ring singularity that lies in the plane of rotation.: 264 In both cases, the singular region has zero volume. All of the mass of the black hole ends up in the singularity.: 252 Since the singularity has nonzero mass in an infinitely small space, it can be thought of as having infinite density. Observers falling into a Schwarzschild black hole (i.e., non-rotating and not charged) cannot avoid being carried into the singularity once they cross the event horizon. As they fall further into the black hole, they will be torn apart by the growing tidal forces in a process sometimes referred to as spaghettification or the noodle effect. Eventually, they will reach the singularity and be crushed into an infinitely small point.: 182 However any perturbations, such as those caused by matter or radiation falling in, would cause space to oscillate chaotically near the singularity. Any matter falling in would experience intense tidal forces rapidly changing in direction, all while being compressed into an increasingly small volume. Alternative forms of general relativity, including addition of some quatum effects, can lead to regular, or nonsingular, black holes without singularities. For example, the fuzzball model, based on string theory, states that black holes are actually made up of quantum microstates and need not have a singularity or an event horizon. The theory of loop quantum gravity proposes that the curvature and density at the center of a black hole is large, but not infinite. Formation Black holes are formed by gravitational collapse of massive stars, either by direct collapse or during a supernova explosion in a process called fallback. Black holes can result from the merger of two neutron stars or a neutron star and a black hole. Other more speculative mechanisms include primordial black holes created from density fluctuations in the early universe, the collapse of dark stars, a hypothetical object powered by annihilation of dark matter, or from hypothetical self-interacting dark matter. Gravitational collapse occurs when an object's internal pressure is insufficient to resist the object's own gravity. At the end of a star's life, it will run out of hydrogen to fuse, and will start fusing more and more massive elements, until it gets to iron. Since the fusion of elements heavier than iron would require more energy than it would release, nuclear fusion ceases. If the iron core of the star is too massive, the star will no longer be able to support itself and will undergo gravitational collapse. While most of the energy released during gravitational collapse is emitted very quickly, an outside observer does not actually see the end of this process. Even though the collapse takes a finite amount of time from the reference frame of infalling matter, a distant observer would see the infalling material slow and halt just above the event horizon, due to gravitational time dilation. Light from the collapsing material takes longer and longer to reach the observer, with the delay growing to infinity as the emitting material reaches the event horizon. Thus the external observer never sees the formation of the event horizon; instead, the collapsing material seems to become dimmer and increasingly red-shifted, eventually fading away. Observations of quasars at redshift z ∼ 7 {\displaystyle z\sim 7} , less than a billion years after the Big Bang, has led to investigations of other ways to form black holes. The accretion process to build supermassive black holes has a limiting rate of mass accumulation and a billion years is not enough time to reach quasar status. One suggestion is direct collapse of nearly pure hydrogen gas (low metalicity) clouds characteristic of the young universe, forming a supermassive star which collapses into a black hole. It has been suggested that seed black holes with typical masses of ~105 M☉ could have formed in this way which then could grow to ~109 M☉. However, the very large amount of gas required for direct collapse is not typically stable to fragmentation to form multiple stars. Thus another approach suggests massive star formation followed by collisions that seed massive black holes which ultimately merge to create a quasar.: 85 A neutron star in a common envelope with a regular star can accrete sufficient material to collapse to a black hole or two neutron stars can merge. These avenues for the formation of black holes are considered relatively rare. In the current epoch of the universe, conditions needed to form black holes are rare and are mostly only found in stars. However, in the early universe, conditions may have allowed for black hole formations via other means. Fluctuations of spacetime soon after the Big Bang may have formed areas that were denser then their surroundings. Initially, these regions would not have been compact enough to form a black hole, but eventually, the curvature of spacetime in the regions become large enough to cause them to collapse into a black hole. Different models for the early universe vary widely in their predictions of the scale of these fluctuations. Various models predict the creation of primordial black holes ranging from a Planck mass (~2.2×10−8 kg) to hundreds of thousands of solar masses. Primordial black holes with masses less than 1015 g would have evaporated by now due to Hawking radiation. Despite the early universe being extremely dense, it did not re-collapse into a black hole during the Big Bang, since the universe was expanding rapidly and did not have the gravitational differential necessary for black hole formation. Models for the gravitational collapse of objects of relatively constant size, such as stars, do not necessarily apply in the same way to rapidly expanding space such as the Big Bang. In principle, black holes could be formed in high-energy particle collisions that achieve sufficient density, although no such events have been detected. These hypothetical micro black holes, which could form from the collision of cosmic rays and Earth's atmosphere or in particle accelerators like the Large Hadron Collider, would not be able to aggregate additional mass. Instead, they would evaporate in about 10−25 seconds, posing no threat to the Earth. Evolution Black holes can also merge with other objects such as stars or even other black holes. This is thought to have been important, especially in the early growth of supermassive black holes, which could have formed from the aggregation of many smaller objects. The process has also been proposed as the origin of some intermediate-mass black holes. Mergers of supermassive black holes may take a long time: As a binary of supermassive black holes approach each other, most nearby stars are ejected, leaving little for the remaining black holes to gravitationally interact with that would allow them to get closer to each other. This phenomenon has been called the final parsec problem, as the distance at which this happens is usually around one parsec. When a black hole accretes matter, the gas in the inner accretion disk orbits at very high speeds because of its proximity to the black hole. The resulting friction heats the inner disk to temperatures at which it emits vast amounts of electromagnetic radiation (mainly X-rays) detectable by telescopes. By the time the matter of the disk reaches the ISCO, between 5.7% and 42% of its mass will have been converted to energy, depending on the black hole's spin. About 90% of this energy is released within about 20 black hole radii. In many cases, accretion disks are accompanied by relativistic jets that are emitted along the black hole's poles, which carry away much of the energy. The mechanism for the creation of these jets is currently not well understood, in part due to insufficient data. Many of the universe's most energetic phenomena have been attributed to the accretion of matter on black holes. Active galactic nuclei and quasars are believed to be the accretion disks of supermassive black holes. X-ray binaries are generally accepted to be binary systems in which one of the two objects is a compact object accreting matter from its companion. Ultraluminous X-ray sources may be the accretion disks of intermediate-mass black holes. At a certain rate of accretion, the outward radiation pressure will become as strong as the inward gravitational force, and the black hole should unable to accrete any faster. This limit is called the Eddington limit. However, many black holes accrete beyond this rate due to their non-spherical geometry or instabilities in the accretion disk. Accretion beyond the limit is called Super-Eddington accretion and may have been commonplace in the early universe. Stars have been observed to get torn apart by tidal forces in the immediate vicinity of supermassive black holes in galaxy nuclei, in what is known as a tidal disruption event (TDE). Some of the material from the disrupted star forms an accretion disk around the black hole, which emits observable electromagnetic radiation. The correlation between the masses of supermassive black holes in the centres of galaxies with the velocity dispersion and mass of stars in their host bulges suggests that the formation of galaxies and the formation of their central black holes are related. Black hole winds from rapid accretion, particularly when the galaxy itself is still accreting matter, can compress gas nearby, accelerating star formation. However, if the winds become too strong, the black hole may blow nearly all of the gas out of the galaxy, quenching star formation. Black hole jets may also energize nearby cavities of plasma and eject low-entropy gas from out of the galactic core, causing gas in galactic centers to be hotter than expected. If Hawking's theory of black hole radiation is correct, then black holes are expected to shrink and evaporate over time as they lose mass by the emission of photons and other particles. The temperature of this thermal spectrum (Hawking temperature) is proportional to the surface gravity of the black hole, which is inversely proportional to the mass. Hence, large black holes emit less radiation than small black holes.: Ch. 9.6 A stellar black hole of 1 M☉ has a Hawking temperature of 62 nanokelvins. This is far less than the 2.7 K temperature of the cosmic microwave background radiation. Stellar-mass or larger black holes receive more mass from the cosmic microwave background than they emit through Hawking radiation and thus will grow instead of shrinking. To have a Hawking temperature larger than 2.7 K (and be able to evaporate), a black hole would need a mass less than the Moon. Such a black hole would have a diameter of less than a tenth of a millimetre. The Hawking radiation for an astrophysical black hole is predicted to be very weak and would thus be exceedingly difficult to detect from Earth. A possible exception is the burst of gamma rays emitted in the last stage of the evaporation of primordial black holes. Searches for such flashes have proven unsuccessful and provide stringent limits on the possibility of existence of low mass primordial black holes, with modern research predicting that primordial black holes must make up less than a fraction of 10−7 of the universe's total mass. NASA's Fermi Gamma-ray Space Telescope, launched in 2008, has searched for these flashes, but has not yet found any. The properties of a black hole are constrained and interrelated by the theories that predict these properties. When based on general relativity, these relationships are called the laws of black hole mechanics. For a black hole that is not still forming or accreting matter, the zeroth law of black hole mechanics states the black hole's surface gravity is constant across the event horizon. The first law relates changes in the black hole's surface area, angular momentum, and charge to changes in its energy. The second law says the surface area of a black hole never decreases on its own. Finally, the third law says that the surface gravity of a black hole is never zero. These laws are mathematical analogs of the laws of thermodynamics. They are not equivalent, however, because, according to general relativity without quantum mechanics, a black hole can never emit radiation, and thus its temperature must always be zero.: 11 Quantum mechanics predicts that a black hole will continuously emit thermal Hawking radiation, and therefore must always have a nonzero temperature. It also predicts that all black holes have entropy which scales with their surface area. When quantum mechanics is accounted for, the laws of black hole mechanics become equivalent to the classical laws of thermodynamics. However, these conclusions are derived without a complete theory of quantum gravity, although many potential theories do predict black holes having entropy and temperature. Thus, the true quantum nature of black hole thermodynamics continues to be debated.: 29 Observational evidence Millions of black holes with around 30 solar masses derived from stellar collapse are expected to exist in the Milky Way. Even a dwarf galaxy like Draco should have hundreds. Only a few of these have been detected. By nature, black holes do not themselves emit any electromagnetic radiation other than the hypothetical Hawking radiation, so astrophysicists searching for black holes must generally rely on indirect observations. The defining characteristic of a black hole is its event horizon. The horizon itself cannot be imaged, so all other possible explanations for these indirect observations must be considered and eliminated before concluding that a black hole has been observed.: 11 The Event Horizon Telescope (EHT) is a global system of radio telescopes capable of directly observing a black hole shadow. The angular resolution of a telescope is based on its aperture and the wavelengths it is observing. Because the angular diameters of Sagittarius A* and Messier 87* in the sky are very small, a single telescope would need to be about the size of the Earth to clearly distinguish their horizons using radio wavelengths. By combining data from several different radio telescopes around the world, the Event Horizon Telescope creates an effective aperture the diameter size of the Earth. The EHT team used imaging algorithms to compute the most probable image from the data in its observations of Sagittarius A* and M87*. Gravitational-wave interferometry can be used to detect merging black holes and other compact objects. In this method, a laser beam is split down two long arms of a tunnel. The laser beams reflect off of mirrors in the tunnels and converge at the intersection of the arms, cancelling each other out. However, when a gravitational wave passes, it warps spacetime, changing the lengths of the arms themselves. Since each laser beam is now travelling a slightly different distance, they do not cancel out and produce a recognizable signal. Analysis of the signal can give scientists information about what caused the gravitational waves. Since gravitational waves are very weak, gravitational-wave observatories such as LIGO must have arms several kilometers long and carefully control for noise from Earth to be able to detect these gravitational waves. Since the first measurements in 2016, multiple gravitational waves from black holes have been detected and analyzed. The proper motions of stars near the centre of the Milky Way provide strong observational evidence that these stars are orbiting a supermassive black hole. Since 1995, astronomers have tracked the motions of 90 stars orbiting an invisible object coincident with the radio source Sagittarius A*. In 1998, by fitting the motions of the stars to Keplerian orbits, the astronomers were able to infer that Sagittarius A* must be a 2.6×106 M☉ object must be contained within a radius of 0.02 light-years. Since then, one of the stars—called S2—has completed a full orbit. From the orbital data, astronomers were able to refine the calculations of the mass of Sagittarius A* to 4.3×106 M☉, with a radius of less than 0.002 light-years. This upper limit radius is larger than the Schwarzschild radius for the estimated mass, so the combination does not prove Sagittarius A* is a black hole. Nevertheless, these observations strongly suggest that the central object is a supermassive black hole as there are no other plausible scenarios for confining so much invisible mass into such a small volume. Additionally, there is some observational evidence that this object might possess an event horizon, a feature unique to black holes. The Event Horizon Telescope image of Sagittarius A*, released in 2022, provided further confirmation that it is indeed a black hole. X-ray binaries are binary systems that emit a majority of their radiation in the X-ray part of the electromagnetic spectrum. These X-ray emissions result when a compact object accretes matter from an ordinary star. The presence of an ordinary star in such a system provides an opportunity for studying the central object and to determine if it might be a black hole. By measuring the orbital period of the binary, the distance to the binary from Earth, and the mass of the companion star, scientists can estimate the mass of the compact object. The Tolman-Oppenheimer-Volkoff limit (TOV limit) dictates the largest mass a nonrotating neutron star can be, and is estimated to be about two solar masses. While a rotating neutron star can be slightly more massive, if the compact object is much more massive than the TOV limit, it cannot be a neutron star and is generally expected to be a black hole. The first strong candidate for a black hole, Cygnus X-1, was discovered in this way by Charles Thomas Bolton, Louise Webster, and Paul Murdin in 1972. Observations of rotation broadening of the optical star reported in 1986 lead to a compact object mass estimate of 16 solar masses, with 7 solar masses as the lower bound. In 2011, this estimate was updated to 14.1±1.0 M☉ for the black hole and 19.2±1.9 M☉ for the optical stellar companion. X-ray binaries can be categorized as either low-mass or high-mass; This classification is based on the mass of the companion star, not the compact object itself. In a class of X-ray binaries called soft X-ray transients, the companion star is of relatively low mass, allowing for more accurate estimates of the black hole mass. These systems actively emit X-rays for only several months once every 10–50 years. During the period of low X-ray emission, called quiescence, the accretion disk is extremely faint, allowing detailed observation of the companion star. Numerous black hole candidates have been measured by this method. Black holes are also sometimes found in binaries with other compact objects, such as white dwarfs, neutron stars, and other black holes. The centre of nearly every galaxy contains a supermassive black hole. The close observational correlation between the mass of this hole and the velocity dispersion of the host galaxy's bulge, known as the M–sigma relation, strongly suggests a connection between the formation of the black hole and that of the galaxy itself. Astronomers use the term active galaxy to describe galaxies with unusual characteristics, such as unusual spectral line emission and very strong radio emission. Theoretical and observational studies have shown that the high levels of activity in the centers of these galaxies, regions called active galactic nuclei (AGN), may be explained by accretion onto supermassive black holes. These AGN consist of a central black hole that may be millions or billions of times more massive than the Sun, a disk of interstellar gas and dust called an accretion disk, and two jets perpendicular to the accretion disk. Although supermassive black holes are expected to be found in most AGN, only some galaxies' nuclei have been more carefully studied in attempts to both identify and measure the actual masses of the central supermassive black hole candidates. Some of the most notable galaxies with supermassive black hole candidates include the Andromeda Galaxy, Messier 32, Messier 87, the Sombrero Galaxy, and the Milky Way itself. Another way black holes can be detected is through observation of effects caused by their strong gravitational field. One such effect is gravitational lensing: The deformation of spacetime around a massive object causes light rays to be deflected, making objects behind them appear distorted. When the lensing object is a black hole, this effect can be strong enough to create multiple images of a star or other luminous source. However, the distance between the lensed images may be too small for contemporary telescopes to resolve—this phenomenon is called microlensing. Instead of seeing two images of a lensed star, astronomers see the star brighten slightly as the black hole moves towards the line of sight between the star and Earth and then return to its normal luminosity as the black hole moves away. The turn of the millennium saw the first 3 candidate detections of black holes in this way, and in January 2022, astronomers reported the first confirmed detection of a microlensing event from an isolated black hole. This was also the first determination of an isolated black hole mass, 7.1±1.3 M☉. Alternatives While there is a strong case for supermassive black holes, the model for stellar-mass black holes assumes of an upper limit for the mass of a neutron star: objects observed to have more mass are assumed to be black holes. However, the properties of extremely dense matter are poorly understood. New exotic phases of matter could allow other kinds of massive objects. Quark stars would be made up of quark matter and supported by quark degeneracy pressure, a form of degeneracy pressure even stronger than neutron degeneracy pressure. This would halt gravitational collapse at a higher mass than for a neutron star. Even stronger stars called electroweak stars would convert quarks in their cores into leptons, providing additional pressure to stop the star from collapsing. If, as some extensions of the Standard Model posit, quarks and leptons are made up of the even-smaller fundamental particles called preons, a very compact star could be supported by preon degeneracy pressure. While none of these hypothetical models can explain all of the observations of stellar black hole candidates, a Q star is the only alternative which could significantly exceed the mass limit for neutron stars and thus provide an alternative for supermassive black holes.: 12 A few theoretical objects have been conjectured to match observations of astronomical black hole candidates identically or near-identically, but which function via a different mechanism. A dark energy star would convert infalling matter into vacuum energy; This vacuum energy would be much larger than the vacuum energy of outside space, exerting outwards pressure and preventing a singularity from forming. A black star would be gravitationally collapsing slowly enough that quantum effects would keep it just on the cusp of fully collapsing into a black hole. A gravastar would consist of a very thin shell and a dark-energy interior providing outward pressure to stop the collapse into a black hole or formation of a singularity; It could even have another gravastar inside, called a 'nestar'. Open questions According to the no-hair theorem, a black hole is defined by only three parameters: its mass, charge, and angular momentum. This seems to mean that all other information about the matter that went into forming the black hole is lost, as there is no way to determine anything about the black hole from outside other than those three parameters. When black holes were thought to persist forever, this information loss was not problematic, as the information can be thought of as existing inside the black hole. However, black holes slowly evaporate by emitting Hawking radiation. This radiation does not appear to carry any additional information about the matter that formed the black hole, meaning that this information is seemingly gone forever. This is called the black hole information paradox. Theoretical studies analyzing the paradox have led to both further paradoxes and new ideas about the intersection of quantum mechanics and general relativity. While there is no consensus on the resolution of the paradox, work on the problem is expected to be important for a theory of quantum gravity.: 126 Observations of faraway galaxies have found that ultraluminous quasars, powered by supermassive black holes, existed in the early universe as far as redshift z ≥ 7 {\displaystyle z\geq 7} . These black holes have been assumed to be the products of the gravitational collapse of large population III stars. However, these stellar remnants were not massive enough to produce the quasars observed at early times without accreting beyond the Eddington limit, the theoretical maximum rate of black hole accretion. Physicists have suggested a variety of different mechanisms by which these supermassive black holes may have formed. It has been proposed that smaller black holes may have also undergone mergers to produce the observed supermassive black holes. It is also possible that they were seeded by direct-collapse black holes, in which a large cloud of hot gas avoids fragmentation that would lead to multiple stars, due to low angular momentum or heating from a nearby galaxy. Given the right circumstances, a single supermassive star forms and collapses directly into a black hole without undergoing typical stellar evolution. Additionally, these supermassive black holes in the early universe may be high-mass primordial black holes, which could have accreted further matter in the centers of galaxies. Finally, certain mechanisms allow black holes to grow faster than the theoretical Eddington limit, such as dense gas in the accretion disk limiting outward radiation pressure that prevents the black hole from accreting. However, the formation of bipolar jets prevent super-Eddington rates. In fiction Black holes have been portrayed in science fiction in a variety of ways. Even before the advent of the term itself, objects with characteristics of black holes appeared in stories such as the 1928 novel The Skylark of Space with its "black Sun" and the "hole in space" in the 1935 short story Starship Invincible. As black holes grew to public recognition in the 1960s and 1970s, they began to be featured in films as well as novels, such as Disney's The Black Hole. Black holes have also been used in works of the 21st century, such as Christopher Nolan's science fiction epic Interstellar. Authors and screenwriters have exploited the relativistic effects of black holes, particularly gravitational time dilation. For example, Interstellar features a black hole planet with a time dilation factor of over 60,000:1, while the 1977 novel Gateway depicts a spaceship approaching but never crossing the event horizon of a black hole from the perspective of an outside observer due to time dilation effects. Black holes have also been appropriated as wormholes or other methods of faster-than-light travel, such as in the 1974 novel The Forever War, where a network of black holes is used for interstellar travel. Additionally, black holes can feature as hazards to spacefarers and planets: A black hole threatens a deep-space outpost in 1978 short story The Black Hole Passes, and a binary black hole dangerously alters the orbit of a planet in the 2018 Netflix reboot of Lost in Space. Notes References Further reading External links |
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Contents Python (programming language) Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language. Python 3.0, released in 2008, was a major revision and not completely backward-compatible with earlier versions. Beginning with Python 3.5, capabilities and keywords for typing were added to the language, allowing optional static typing. As of 2026[update], the Python Software Foundation supports Python 3.10, 3.11, 3.12, 3.13, and 3.14, following the project's annual release cycle and five-year support policy. Python 3.15 is currently in the alpha development phase, and the stable release is expected to come out in October 2026. Earlier versions in the 3.x series have reached end-of-life and no longer receive security updates. Python has gained widespread use in the machine learning community. It is widely taught as an introductory programming language. Since 2003, Python has consistently ranked in the top ten of the most popular programming languages in the TIOBE Programming Community Index, which ranks based on searches in 24 platforms. History Python was conceived in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands. It was designed as a successor to the ABC programming language, which was inspired by SETL, capable of exception handling and interfacing with the Amoeba operating system. Python implementation began in December 1989. Van Rossum first released it in 1991 as Python 0.9.0. Van Rossum assumed sole responsibility for the project, as the lead developer, until 12 July 2018, when he announced his "permanent vacation" from responsibilities as Python's "benevolent dictator for life" (BDFL); this title was bestowed on him by the Python community to reflect his long-term commitment as the project's chief decision-maker. (He has since come out of retirement and is self-titled "BDFL-emeritus".) In January 2019, active Python core developers elected a five-member Steering Council to lead the project. The name Python derives from the British comedy series Monty Python's Flying Circus. (See § Naming.) Python 2.0 was released on 16 October 2000, featuring many new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 2.7's end-of-life was initially set for 2015, and then postponed to 2020 out of concern that a large body of existing code could not easily be forward-ported to Python 3. It no longer receives security patches or updates. While Python 2.7 and older versions are officially unsupported, a different unofficial Python implementation, PyPy, continues to support Python 2, i.e., "2.7.18+" (plus 3.11), with the plus signifying (at least some) "backported security updates". Python 3.0 was released on 3 December 2008, and was a major revision and not completely backward-compatible with earlier versions, with some new semantics and changed syntax. Python 2.7.18, released in 2020, was the last release of Python 2. Several releases in the Python 3.x series have added new syntax to the language, and made a few (considered very minor) backward-incompatible changes. As of January 2026[update], Python 3.14.3 is the latest stable release. All older 3.x versions had a security update down to Python 3.9.24 then again with 3.9.25, the final version in 3.9 series. Python 3.10 is, since November 2025, the oldest supported branch. Python 3.15 has an alpha released, and Android has an official downloadable executable available for Python 3.14. Releases receive two years of full support followed by three years of security support. Design philosophy and features Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming – including metaprogramming and metaobjects. Many other paradigms are supported via extensions, including design by contract and logic programming. Python is often referred to as a 'glue language' because it is purposely designed to be able to integrate components written in other languages. Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management. It uses dynamic name resolution (late binding), which binds method and variable names during program execution. Python's design offers some support for functional programming in the "Lisp tradition". It has filter, map, and reduce functions; list comprehensions, dictionaries, sets, and generator expressions. The standard library has two modules (itertools and functools) that implement functional tools borrowed from Haskell and Standard ML. Python's core philosophy is summarized in the Zen of Python (PEP 20) written by Tim Peters, which includes aphorisms such as these: However, Python has received criticism for violating these principles and adding unnecessary language bloat. Responses to these criticisms note that the Zen of Python is a guideline rather than a rule. The addition of some new features had been controversial: Guido van Rossum resigned as Benevolent Dictator for Life after conflict about adding the assignment expression operator in Python 3.8. Nevertheless, rather than building all functionality into its core, Python was designed to be highly extensible via modules. This compact modularity has made it particularly popular as a means of adding programmable interfaces to existing applications. Van Rossum's vision of a small core language with a large standard library and easily extensible interpreter stemmed from his frustrations with ABC, which represented the opposite approach. Python claims to strive for a simpler, less-cluttered syntax and grammar, while giving developers a choice in their coding methodology. Python lacks do .. while loops, which Rossum considered harmful. In contrast to Perl's motto "there is more than one way to do it", Python advocates an approach where "there should be one – and preferably only one – obvious way to do it". In practice, however, Python provides many ways to achieve a given goal. There are at least three ways to format a string literal, with no certainty as to which one a programmer should use. Alex Martelli is a Fellow at the Python Software Foundation and Python book author; he wrote that "To describe something as 'clever' is not considered a compliment in the Python culture." Python's developers typically prioritize readability over performance. For example, they reject patches to non-critical parts of the CPython reference implementation that would offer increases in speed that do not justify the cost of clarity and readability.[failed verification] Execution speed can be improved by moving speed-critical functions to extension modules written in languages such as C, or by using a just-in-time compiler like PyPy. Also, it is possible to transpile to other languages. However, this approach either fails to achieve the expected speed-up, since Python is a very dynamic language, or only a restricted subset of Python is compiled (with potential minor semantic changes). Python is meant to be a fun language to use. This goal is reflected in the name – a tribute to the British comedy group Monty Python – and in playful approaches to some tutorials and reference materials. For instance, some code examples use the terms "spam" and "eggs" (in reference to a Monty Python sketch), rather than the typical terms "foo" and "bar". A common neologism in the Python community is pythonic, which has a broad range of meanings related to program style: Pythonic code may use Python idioms well; be natural or show fluency in the language; or conform with Python's minimalist philosophy and emphasis on readability. Syntax and semantics Python is meant to be an easily readable language. Its formatting is visually uncluttered and often uses English keywords where other languages use punctuation. Unlike many other languages, it does not use curly brackets to delimit blocks, and semicolons after statements are allowed but rarely used. It has fewer syntactic exceptions and special cases than C or Pascal. Python uses whitespace indentation, rather than curly brackets or keywords, to delimit blocks. An increase in indentation comes after certain statements; a decrease in indentation signifies the end of the current block. Thus, the program's visual structure accurately represents its semantic structure. This feature is sometimes termed the off-side rule. Some other languages use indentation this way; but in most, indentation has no semantic meaning. The recommended indent size is four spaces. Python's statements include the following: The assignment statement (=) binds a name as a reference to a separate, dynamically allocated object. Variables may subsequently be rebound at any time to any object. In Python, a variable name is a generic reference holder without a fixed data type; however, it always refers to some object with a type. This is called dynamic typing—in contrast to statically-typed languages, where each variable may contain only a value of a certain type. Python does not support tail call optimization or first-class continuations; according to Van Rossum, the language never will. However, better support for coroutine-like functionality is provided by extending Python's generators. Before 2.5, generators were lazy iterators; data was passed unidirectionally out of the generator. From Python 2.5 on, it is possible to pass data back into a generator function; and from version 3.3, data can be passed through multiple stack levels. Python's expressions include the following: In Python, a distinction between expressions and statements is rigidly enforced, in contrast to languages such as Common Lisp, Scheme, or Ruby. This distinction leads to duplicating some functionality, for example: A statement cannot be part of an expression; because of this restriction, expressions such as list and dict comprehensions (and lambda expressions) cannot contain statements. As a particular case, an assignment statement such as a = 1 cannot be part of the conditional expression of a conditional statement. Python uses duck typing, and it has typed objects but untyped variable names. Type constraints are not checked at definition time; rather, operations on an object may fail at usage time, indicating that the object is not of an appropriate type. Despite being dynamically typed, Python is strongly typed, forbidding operations that are poorly defined (e.g., adding a number and a string) rather than quietly attempting to interpret them. Python allows programmers to define their own types using classes, most often for object-oriented programming. New instances of classes are constructed by calling the class, for example, SpamClass() or EggsClass()); the classes are instances of the metaclass type (which is an instance of itself), thereby allowing metaprogramming and reflection. Before version 3.0, Python had two kinds of classes, both using the same syntax: old-style and new-style. Current Python versions support the semantics of only the new style. Python supports optional type annotations. These annotations are not enforced by the language, but may be used by external tools such as mypy to catch errors. Python includes a module typing including several type names for type annotations. Also, mypy supports a Python compiler called mypyc, which leverages type annotations for optimization. 1.33333 frozenset() Python includes conventional symbols for arithmetic operators (+, -, *, /), the floor-division operator //, and the modulo operator %. (With the modulo operator, a remainder can be negative, e.g., 4 % -3 == -2.) Also, Python offers the ** symbol for exponentiation, e.g. 5**3 == 125 and 9**0.5 == 3.0. Also, it offers the matrix‑multiplication operator @ . These operators work as in traditional mathematics; with the same precedence rules, the infix operators + and - can also be unary, to represent positive and negative numbers respectively. Division between integers produces floating-point results. The behavior of division has changed significantly over time: In Python terms, the / operator represents true division (or simply division), while the // operator represents floor division. Before version 3.0, the / operator represents classic division. Rounding towards negative infinity, though a different method than in most languages, adds consistency to Python. For instance, this rounding implies that the equation (a + b)//b == a//b + 1 is always true. Also, the rounding implies that the equation b*(a//b) + a%b == a is valid for both positive and negative values of a. As expected, the result of a%b lies in the half-open interval [0, b), where b is a positive integer; however, maintaining the validity of the equation requires that the result must lie in the interval (b, 0] when b is negative. Python provides a round function for rounding a float to the nearest integer. For tie-breaking, Python 3 uses the round to even method: round(1.5) and round(2.5) both produce 2. Python versions before 3 used the round-away-from-zero method: round(0.5) is 1.0, and round(-0.5) is −1.0. Python allows Boolean expressions that contain multiple equality relations to be consistent with general usage in mathematics. For example, the expression a < b < c tests whether a is less than b and b is less than c. C-derived languages interpret this expression differently: in C, the expression would first evaluate a < b, resulting in 0 or 1, and that result would then be compared with c. Python uses arbitrary-precision arithmetic for all integer operations. The Decimal type/class in the decimal module provides decimal floating-point numbers to a pre-defined arbitrary precision with several rounding modes. The Fraction class in the fractions module provides arbitrary precision for rational numbers. Due to Python's extensive mathematics library and the third-party library NumPy, the language is frequently used for scientific scripting in tasks such as numerical data processing and manipulation. Functions are created in Python by using the def keyword. A function is defined similarly to how it is called, by first providing the function name and then the required parameters. Here is an example of a function that prints its inputs: To assign a default value to a function parameter in case no actual value is provided at run time, variable-definition syntax can be used inside the function header. Code examples "Hello, World!" program: Program to calculate the factorial of a non-negative integer: Libraries Python's large standard library is commonly cited as one of its greatest strengths. For Internet-facing applications, many standard formats and protocols such as MIME and HTTP are supported. The language includes modules for creating graphical user interfaces, connecting to relational databases, generating pseudorandom numbers, arithmetic with arbitrary-precision decimals, manipulating regular expressions, and unit testing. Some parts of the standard library are covered by specifications—for example, the Web Server Gateway Interface (WSGI) implementation wsgiref follows PEP 333—but most parts are specified by their code, internal documentation, and test suites. However, because most of the standard library is cross-platform Python code, only a few modules must be altered or rewritten for variant implementations. As of 13 March 2025,[update] the Python Package Index (PyPI), the official repository for third-party Python software, contains over 614,339 packages. Development environments Most[which?] Python implementations (including CPython) include a read–eval–print loop (REPL); this permits the environment to function as a command line interpreter, with which users enter statements sequentially and receive results immediately. Also, CPython is bundled with an integrated development environment (IDE) called IDLE, which is oriented toward beginners.[citation needed] Other shells, including IDLE and IPython, add additional capabilities such as improved auto-completion, session-state retention, and syntax highlighting. Standard desktop IDEs include PyCharm, Spyder, and Visual Studio Code; there are web browser-based IDEs, such as the following environments: Implementations CPython is the reference implementation of Python. This implementation is written in C, meeting the C11 standard since version 3.11. Older versions use the C89 standard with several select C99 features, but third-party extensions are not limited to older C versions—e.g., they can be implemented using C11 or C++. CPython compiles Python programs into an intermediate bytecode, which is then executed by a virtual machine. CPython is distributed with a large standard library written in a combination of C and native Python. CPython is available for many platforms, including Windows and most modern Unix-like systems, including macOS (and Apple M1 Macs, since Python 3.9.1, using an experimental installer). Starting with Python 3.9, the Python installer intentionally fails to install on Windows 7 and 8; Windows XP was supported until Python 3.5, with unofficial support for VMS. Platform portability was one of Python's earliest priorities. During development of Python 1 and 2, even OS/2 and Solaris were supported; since that time, support has been dropped for many platforms. All current Python versions (since 3.7) support only operating systems that feature multithreading, by now supporting not nearly as many operating systems (dropping many outdated) than in the past. All alternative implementations have at least slightly different semantics. For example, an alternative may include unordered dictionaries, in contrast to other current Python versions. As another example in the larger Python ecosystem, PyPy does not support the full C Python API. Creating an executable with Python often is done by bundling an entire Python interpreter into the executable, which causes binary sizes to be massive for small programs, yet there exist implementations that are capable of truly compiling Python. Alternative implementations include the following: Stackless Python is a significant fork of CPython that implements microthreads. This implementation uses the call stack differently, thus allowing massively concurrent programs. PyPy also offers a stackless version. Just-in-time Python compilers have been developed, but are now unsupported: There are several compilers/transpilers to high-level object languages; the source language is unrestricted Python, a subset of Python, or a language similar to Python: There are also specialized compilers: Some older projects existed, as well as compilers not designed for use with Python 3.x and related syntax: A performance comparison among various Python implementations, using a non-numerical (combinatorial) workload, was presented at EuroSciPy '13. In addition, Python's performance relative to other programming languages is benchmarked by The Computer Language Benchmarks Game. There are several approaches to optimizing Python performance, despite the inherent slowness of an interpreted language. These approaches include the following strategies or tools: Language Development Python's development is conducted mostly through the Python Enhancement Proposal (PEP) process; this process is the primary mechanism for proposing major new features, collecting community input on issues, and documenting Python design decisions. Python coding style is covered in PEP 8. Outstanding PEPs are reviewed and commented on by the Python community and the steering council. Enhancement of the language corresponds with development of the CPython reference implementation. The mailing list python-dev is the primary forum for the language's development. Specific issues were originally discussed in the Roundup bug tracker hosted by the foundation. In 2022, all issues and discussions were migrated to GitHub. Development originally took place on a self-hosted source-code repository running Mercurial, until Python moved to GitHub in January 2017. CPython's public releases have three types, distinguished by which part of the version number is incremented: Many alpha, beta, and release-candidates are also released as previews and for testing before final releases. Although there is a rough schedule for releases, they are often delayed if the code is not ready yet. Python's development team monitors the state of the code by running a large unit test suite during development. The major academic conference on Python is PyCon. Also, there are special Python mentoring programs, such as PyLadies. Naming Python's name is inspired by the British comedy group Monty Python, whom Python creator Guido van Rossum enjoyed while developing the language. Monty Python references appear frequently in Python code and culture; for example, the metasyntactic variables often used in Python literature are spam and eggs, rather than the traditional foo and bar. Also, the official Python documentation contains various references to Monty Python routines. Python users are sometimes referred to as "Pythonistas". Languages influenced by Python See also Notes References Further reading External links |
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[SOURCE: https://en.wikipedia.org/wiki/Tesla,_Inc.#Lawsuits_and_controversies] | [TOKENS: 19296] |
Contents Tesla, Inc. Tesla, Inc. (/ˈtɛzlə/ TEZ-lə or /ˈtɛslə/ ⓘ TESS-lə[a]) is an American multinational automotive and clean energy company. Headquartered in Austin, Texas, it designs, manufactures, and sells battery electric vehicles (BEVs), stationary battery energy storage devices from home to grid-scale, solar panels and solar shingles, and related products and services. Tesla was incorporated in July 2003 by Martin Eberhard and Marc Tarpenning as Tesla Motors. Its name is a tribute to the inventor and electrical engineer Nikola Tesla. In February 2004, Elon Musk led Tesla's first funding round and became the company's chairman, subsequently claiming to be a co-founder; in 2008, he was named chief executive officer. The company began production of its first car model, the Roadster sports car, in 2008; the Model S sedan in 2012; the Model X SUV in 2015; the Model 3 sedan in 2017; the Model Y crossover in 2020; the Tesla Semi truck in 2022; and the Cybertruck pickup truck in 2023. Tesla is one of the world's most valuable companies in terms of market capitalization. Starting in July 2020, it has been the world's most valuable automaker. From October 2021 to March 2022, Tesla was a US$1 trillion company, the sixth US company to reach that valuation. In 2023, the company was ranked 69th in the Forbes Global 2000. In 2024, the company led the battery electric vehicle market, with 17.6% share. Tesla exceeded $1 trillion in market capitalization again between November 2024 and February 2025, and since May 2025. In November 2025, Tesla approved a pay package worth $1 trillion for Musk, which he is to receive over 10 years if he meets specific goals. In January 2026, the company would lose its status as world's lead manufacturer of electric vehicles. Tesla has been the subject of lawsuits, boycotts, government scrutiny, and journalistic criticism, stemming from allegations of multiple cases of whistleblower retaliation, worker rights violations such as sexual harassment and anti-union activities, safety defects leading to dozens of recalls, the lack of a public relations department, and controversial statements from Musk, including overpromising on the company's driving assist technology and product release timelines. History The company was incorporated as Tesla Motors, Inc., on July 1, 2003, by Martin Eberhard and Marc Tarpenning. They served as chief executive officer and chief financial officer, respectively. Eberhard said that he wanted to build "a car manufacturer that is also a technology company", with its core technologies as "the battery, the computer software, and the proprietary motor". Ian Wright joined Eberhard and Tarpenning a few months later. In February 2004, the company raised US$7.5 million (equivalent to $12.8 million in 2025) in series A funding, including $6.5 million (equivalent to $11.1 million in 2025) from Elon Musk, who had received $176 million from the sale of his interest in PayPal two years earlier. Musk became the chairman of the board of directors and the largest shareholder of Tesla. J. B. Straubel joined Tesla in May 2004 as chief technical officer. A lawsuit settlement agreed to by Eberhard and Tesla in September 2009 allows all five – Eberhard, Tarpenning, Wright, Musk, and Straubel – to call themselves co-founders. Elon Musk took an active role within the company, but was not deeply involved in day-to-day business operations. The company's strategy was to start with a premium sports car aimed at early adopters and then move into more mainstream vehicles, including sedans and affordable compacts. In February 2005, Musk led Tesla's Series B venture capital funding round of $13 million, which added Valor Equity Partners to the funding team. Musk co-led the third, $40 million round in May 2006 which saw investment from prominent entrepreneurs including Google co-founders Sergey Brin and Larry Page, and former eBay president Jeff Skoll. A fourth round worth $45 million in May 2007 brought the total private financing investment to over $105 million. In August 2007, Eberhard was asked by the board, led by Musk, to step down as CEO. Eberhard then took the title of "President of Technology" before ultimately leaving the company in January 2008. Co-founder Marc Tarpenning, who served as the Vice President of Electrical Engineering of the company, also left the company in January 2008. In August 2007, Michael Marks was brought in as interim CEO, and in December 2007, Ze'ev Drori became CEO and president. Musk succeeded Drori as CEO in October 2008. In June 2009, Eberhard filed a lawsuit against Musk for allegedly forcing him out. The case was dismissed in August 2009. Tesla began production of the Roadster in 2008 inside the service bays of a former Chevrolet dealership in Menlo Park. By January 2009, Tesla had raised $187 million and delivered 147 cars. Musk had contributed $70 million of his money to the company. In June 2009, Tesla was approved to receive $465 million in interest-bearing loans from the United States Department of Energy. The funding, part of the $8 billion Advanced Technology Vehicles Manufacturing Loan Program, supported the engineering and production of the Model S sedan, as well as the development of commercial powertrain technology. Tesla repaid the loan in May 2013, with $12 million in interest. In May 2010, Tesla purchased the NUMMI plant in Fremont, California, from Toyota for $42 million. On June 29, 2010, the company went public via an initial public offering (IPO), the first American car company to do so since the Ford Motor Company had its IPO in 1956. The company issued 13.3 million shares of common stock at a price of $17 per share at its opening on the NASDAQ, raising $226 million. In October 2010, Tesla opened the Tesla Factory to start production of the Model S. In January 2012, Tesla ceased production of the Roadster, and in June 2012, the company launched its second car, the Model S luxury sedan. The Model S won several automotive awards during 2012 and 2013, including the 2013 Motor Trend Car of the Year, and became the first electric car to top the monthly sales ranking of a country, when it topped the Norwegian new car sales list in September 2013. The Model S was also the best-selling plug-in electric car worldwide for the years 2015 and 2016. On July 15, 2013, Tesla became a NASDAQ-100 company. Tesla announced the Tesla Autopilot, a driver-assistance system, in 2014. In September that year, all Tesla cars started shipping with sensors and software to support the feature, with what would later be called "hardware version 1". Tesla entered the energy storage market, unveiling its Tesla Powerwall (home) and Tesla Powerpack (business) battery packs in April 2015. The company received orders valued at $800 million within a week of the unveiling. Tesla began shipping its third vehicle, the luxury SUV Tesla Model X, in September 2015, which had 25,000 pre-orders at the time. Tesla entered the solar installation business in November 2016 with the purchase of SolarCity, in an all-stock $2.6 billion deal. The business was merged with Tesla's existing battery energy storage products division to form the Tesla Energy subsidiary. The deal was controversial because at the time of the acquisition, SolarCity was facing liquidity issues of which Tesla's shareholders were not informed. In February 2017, Tesla Motors changed its name to Tesla, Inc., to better reflect the scope of its expanded business. Tesla unveiled its first mass-market vehicle in April 2016, the Model 3 sedan. The Model 3 was less expensive than Tesla's previous three vehicles, and within a week, the company received over 325,000 paid reservations. To speed up production and control costs, Tesla invested heavily in robotics and automation to assemble the Model 3, but the robotics actually slowed the production of the vehicles. This led to significant delays and production problems, a period which the company described as "production hell". By the end of 2018, the production problems had been overcome, and the Model 3 became the world's best-selling electric car from 2018 to 2021. This period of "production hell" put significant financial pressure on Tesla, and during this time it became one of the most shorted companies in the stock market. On August 8, 2018, amid the financial issues, Musk posted on social media that he was considering taking Tesla private. The plan did not materialize and gave rise to much controversy and many lawsuits including a securities fraud charge from the SEC, which would force Musk to pay a $20 million fine and step down as the company's chairman, although he was allowed to remain the CEO. From July 2019 to June 2020, Tesla reported four consecutive profitable quarters for the first time, which made it eligible for inclusion in the S&P 500. During 2020, its share price increased 740%, and by December 14, 2020, its market capitalization was more than the next nine largest automakers combined, and it became the sixth most valuable company in the US. Tesla was added to the S&P index on December 21, 2020; it was the most valuable company ever added, and was the sixth-largest member of the index immediately after it was added. It became the sixth US company to reach $1 trillion in market capitalization in October 2021. Tesla introduced its second mass-market vehicle in March 2019, the Model Y mid-size crossover SUV, based on the Model 3. Deliveries started in March 2020. During this period, Tesla invested heavily in expanding its production capacity, opening three new Gigafactories in quick succession. Construction of Gigafactory Shanghai started in January 2019, as the first automobile factory in China fully owned by a foreign company (not a joint venture). The factory's first production vehicle, a Model 3, rolled out in December, less than one year after groundbreaking. Gigafactory Berlin broke ground in February 2020, and its production of the Model Y began in March 2022. Gigafactory Texas broke ground in June 2020, and its production of the Model Y began in April 2022. In March 2023, Tesla announced plans for a Gigafactory Mexico to open in 2025, but its groundbreaking has been delayed. At the beginning of the COVID-19 pandemic, Tesla closed the Fremont Factory in March 2020 due to California state and Alameda county COVID restrictions. When California lifted restrictions, but the county did not, Tesla sued the county, and restarted production on May 11, 2020. The county lifted restrictions on May 13, 2020, and Tesla dropped its lawsuit. After the dispute with county officials, on December 1, 2021, Tesla moved its legal headquarters to Gigafactory Texas. However, Tesla continued to use its former headquarters building in Palo Alto, and over the next two years significantly expanded its footprint in California. The company opened its Megafactory to build Megapack batteries in Lathrop, California in 2022, and announced in February 2023 that it would establish a large global engineering headquarters in Palo Alto, moving into a corporate campus once owned by Hewlett Packard. In early 2021, Tesla became a major investor in bitcoin, acquiring $1.5 billion of the cryptocurrency, and on March 24, 2021, the company started accepting bitcoin as a form of payment for US vehicle purchases. However, after 49 days, the company ended bitcoin payments over concerns that the production of bitcoin was contributing to the consumption of fossil fuels, against the company's mission of encouraging the transition to sustainable energy. After the announcement, the price of bitcoin dropped around 12%. Musk later noted that Tesla would resume bitcoin payments if there was confirmation of at least 50% clean energy usage by bitcoin miners. Despite later reaching this milestone, Tesla did not return to accepting bitcoin. By July 2022 Tesla had sold about 75% of its bitcoin holdings at a loss, citing that the cryptocurrency was hurting the company's profitability. Between May 2023 and February 2024, almost all major North America EV manufacturers announced plans to switch to Tesla's North American Charging Standard adapters on their EVs by 2025, which is expected to be a stable source of recurring revenue for Tesla. In November, Tesla started shipping the Cybertruck, produced from Gigafactory Texas. In April 2024, the company announced it was laying off 10% of its employees. In June, the company moved its incorporation from Delaware to Texas. In October, the company unveiled a concept version of two autonomous vehicles – the Cybercab and Robovan – and detailed that both would be an integral part of a Tesla ridehailing service called the Tesla Network, a future service they had previously teased in 2019. In December 2024, a Delaware court rejected Musk's $56 billion pay package from Tesla, ruling that it was not properly approved by the company's board. The decision arose from a lawsuit by Tesla shareholders who claimed the compensation was excessive and not aligned with performance metrics. By February 2025, Tesla saw large decreases in its stock price and sales across Europe widely attributed to Musk's political advocacy and embrace of far-right politics. Polling found that Musk's ties to United States President Donald Trump and his Department of Government Efficiency were strongly correlated to decreasing views of Tesla, and triggered multiple protests, vandalism, gunfire, and arson at Tesla stores and charging stations. By March 7, Tesla's stock had decreased every week for seven straight weeks since Musk joined the Trump administration, making it the longest losing streak for Tesla in 15 years as a public company. On March 29, over 200 protests against Tesla were held worldwide. In July 2025, Tesla released a software update adding the artificial intelligence (AI) chatbot Grok to its vehicles. While the update provides in-car chatbot functionality, it does not give Grok control over vehicle functions. The same month, Tesla opened its first showroom in India at the Bandra-Kurla Complex in Mumbai, showcasing the Model Y as its debut offering. In August, Tesla integrated Deepseek and Bytedance's Doubao AIs into Chinese models. Unlike vehicles equipped with Grok, AI in Tesla's Chinese vehicles may be used to control vehicle functions, as well as act as a chatbot. In December 2025, Tesla's UK registrations fell by more than 29% year-on-year. UK sales also fell by 8.9% year-on-year. In January 2026, the title of world's largest battery electric vehicle manufacturer was lost to Chinese competitor BYD after full year 2025 deliveries were reported by both companies (2,256,714 vs 1,636,129 BEV sales). On January 28, 2026, Musk stated that Tesla would discontinue the Model S and Model X in the second quarter of 2026 to focus on manufacturing the Optimus robot. Automotive products As of November 2024[update], Tesla offers six vehicle models: Model S, Model X, Model 3, Model Y, Semi, and Cybertruck. Tesla's first vehicle, the first-generation Tesla Roadster, is no longer sold. Tesla has announced plans for a second-generation Roadster, along with future vehicles such as the Cybercab and the Robovan. The Model S is a full-size car sedan with a liftback body style and a dual motor, all-wheel drive layout. Development of the Model S began before 2007, and deliveries started in June 2012. The Model S has seen two major design refreshes, first in April 2016, which introduced a new front-end design, and again in June 2021, which revised the interior. The Model S was the top-selling plug-in electric car worldwide in 2015 and 2016. More than 250,000 vehicles have been sold as of December 2018[update] (when Tesla merged production numbers for the Model S and Model X). The Model X is a mid-size luxury crossover SUV offered in 5-, 6-, and 7-passenger configurations with either a dual- or trimotor, all-wheel drive layout. The rear passenger doors open vertically with an articulating "falcon-wing" design. A prototype Model X was first shown in February 2012, and deliveries started in September 2015. The Model X shares around 30 percent of its content with the Model S. The vehicle has seen one major design refresh in June 2021 which revised the interior. The Model 3 is a mid-size car with a fastback body style and either a dual-motor, all-wheel drive layout or a rear-motor, rear-wheel drive layout. The vehicle was designed to be more affordable than the luxury Model S sedan. A prototype Model 3 was first shown in 2016 and within a week, the company received over 325,000 paid reservations. Deliveries started in July 2017. The Model 3 ranked as the world's best-selling electric car from 2018 to 2021, and cumulative sales passed 1 million in June 2021. The vehicle has seen one major design refresh in September 2023 which revised the exterior and interior. The Model Y is a mid-size crossover SUV offered in 5- and 7-passenger configurations with a single‐motor, rear-wheel drive or a dual-motor, all-wheel drive layout. The vehicle was designed to be more affordable than the luxury Model X SUV. A prototype Model Y was first shown in March 2019, and deliveries started in March 2020. The Model Y shared around 75 percent of its content with the Model 3. In the first quarter of 2023, the Model Y outsold the Toyota Corolla to become the world's best-selling car, the first electric vehicle to claim the title. The Tesla Semi is a Class 8 semi-truck by Tesla, Inc., with a tri-motor, rear-wheel drive layout. Tesla claims that the Semi has approximately three times the power of a typical diesel semi truck, and a range of 500 miles (800 km). Two prototype trucks were first shown in November 2017 and initial deliveries were made to PepsiCo on December 1, 2022. Tesla stated in April 2024 that it plans full production in late 2025. The Cybertruck is a full-sized pickup truck. First announced in November 2019, pilot production began in July 2023, after being pushed back multiple times, and deliveries began on November 30, 2023. Three models are offered: rear-wheel drive, dual-motor all-wheel drive, and trimotor all-wheel drive, with EPA range estimates of 320–340 miles (510–550 km), depending on the model. The truck's exterior design, made from flat sheets of unpainted stainless steel, earned a notably polarizing reception from the media. Tesla initially planned for Cybertruck production capacity of more than 250,000 units, but as of 2025 the company is only selling around 20,000 units per year. On November 16, 2017, Tesla unveiled the second generation Roadster with a purported range of 620 miles (1,000 km) with a 200-kilowatt-hour (720 MJ) battery pack that would achieve 0–60 miles per hour (0–97 km/h) in 1.9 seconds; and 0–100 mph (0–161 km/h) in 4.2 seconds, and a top speed over 250 mph (400 km/h). A "SpaceX Package" would include cold-gas thrusters. The vehicle would have three electric motors, allowing all-wheel drive and torque vectoring during cornering. The base price was set at $200,000. Initially scheduled to ship in 2020, the vehicle has been repeatedly delayed. In July 2024, Musk said that the Roadster should enter production in 2025. The set date for the start of production is now 2027. The Tesla next-generation vehicle is an announced battery electric platform. It would become the third platform for the company. Vehicles based on this platform are not expected before 2025. In July 2024, Musk said that the platform should be expected to become available in the first half of 2025. The Tesla Cybercab is an upcoming two-passenger battery-electric self-driving car under development by Tesla. It is expected to be part of the Tesla Robotaxi service. A concept version of the Cybercab was unveiled in October 2024, with 20 prototypes providing short rides to attendees of the announcement event. The concept vehicle had no steering wheel or pedals. The production of Cybercab is planned to be fully autonomous and to be released before 2027. The Tesla Robovan is an electric autonomous van planned for future development by Tesla. Announced in October 2024, the vehicle is being designed to carry up to 20 passengers. The first generation Tesla Roadster was a two-seat sports car, rebuilt from the Lotus Elise chassis. It was produced from 2008 to 2012. The Roadster was the first highway-legal serial production electric car to use lithium-ion battery cells, and the first production all-electric car to travel more than 200 miles (320 km) per charge. As of January 22, 2026, Tesla has officially discontinued its basic Autopilot driver-assistance feature for new vehicles in the United States and Canada, replacing it with only Traffic Aware Cruise Control as the standard safety system. The move is part of a broader shift toward its more advanced Full Self-Driving (FSD) system, which will be available only as a monthly subscription after February 14, 2026. Services Tesla cars come with "Standard Connectivity", which provides navigation using a cellular connection. For a fee, Tesla offers a subscription to "Premium Connectivity", which adds live traffic and satellite maps to navigation, internet browsing, and media streaming. Tesla's strategy is to service its vehicles first through remote diagnosis and repair. If a problem cannot be resolved remotely, Tesla dispatches a mobile technician or directs customers to a company-owned service center. As of October 2024[update], the company operates 1,306 retail stores, galleries, service, delivery and body shop locations globally. Tesla has said that it does not want to make a profit on vehicle servicing, which has traditionally been a large profit center for most auto dealerships. In 2016, Tesla recommended having any Tesla car inspected every 12,500 miles or once a year, whichever comes first. In early 2019, the manual was changed to say: "your Tesla does not require annual maintenance and regular fluid changes," and instead it recommends periodic servicing of the brake fluid, air conditioning, tires, and air filters. Supercharger is the branding used by Tesla for its high-voltage direct current fast chargers. The Supercharger network was introduced on September 24, 2012, as the Tesla Model S entered production, with six stations in California. As of November 2025[update], Tesla operates a network of about 7,900 Supercharger stations with over 75,000 connectors worldwide. The majority are located in three regions: Asia Pacific (3,000 stations), North America (3,000), and Europe (1,500). Superchargers can currently output as much as 500 kilowatts (kW). Tesla also has a network of "Destination Chargers", slower than Superchargers and intended for locations where customers are expected to park and stay for several hours, such as hotels, restaurants, or shopping centers. Unlike the Supercharger network, Tesla does not own the destination chargers; instead, property owners set up the devices and set pricing. When the network first launched in 2014, Tesla provided free charging equipment and covered installation costs.[citation needed] One of the largest providers is hotel chain Hilton Worldwide which in 2023 announced an agreement with Tesla to install 20,000 chargers across 2,000 of its properties in North America by 2025. Tesla has offered its own vehicle insurance in the United States since 2017 and has been acting as an independent insurance producer since 2021 as Tesla Insurance Services, Inc. It was introduced after the American Automobile Association (AAA), a major insurance carrier, raised rates for Tesla owners in June 2017 after a report concluded that the automaker's vehicles crashed more often and were pricier to repair than comparable vehicles. A study in 2018 based on data from the Insurance Institute for Highway Safety confirmed the findings. The company says that it uniquely understands its vehicles, technology, and repair costs, and can eliminate traditional insurance carriers' additional charges. In states where allowed, the company uses individual vehicle data to offer personalized pricing that can increase or decrease in cost based on the prior month's driving safety score. As of January 2023[update], Tesla offers insurance in the US states of Arizona, California, Colorado, Illinois, Maryland, Minnesota, Nevada, Ohio, Oregon, Texas, Utah, and Virginia. The company also offers insurance for non-Tesla vehicles owned by Tesla owners. Robotaxi is a ride-hailing service launched by Tesla in 2025. It currently operates in Austin, Texas. Robotaxis currently rely on human supervisors, with the intent of eventually allowing for fully autonomous rides. Energy products Tesla subsidiary Tesla Energy develops, builds, sells, and installs solar energy generation systems and battery energy storage products (as well as related products and services) to residential, commercial, and industrial customers. The subsidiary was created by the merger of Tesla's existing battery energy storage products division with SolarCity, a solar energy company that Tesla acquired in 2016. In 2023, the company deployed 14.7 gigawatt-hours of battery energy storage products, an increase of 125% over 2022, but only deployed solar energy systems capable of generating 223 megawatts, a decrease of 36% over 2022. Tesla Energy products include solar panels (built by other companies for Tesla), the Tesla Solar Roof (a solar shingle system), and the Tesla Solar Inverter. Storage products include the Powerwall (a home energy storage device) and the Megapack (a large-scale energy storage system). For large-scale customers, Tesla Energy operates an online platform which allows for automated, real-time power trading, demand forecasting and product control. In March 2021, the company said its online products were managing over 1.2 GWh of storage. For home customers, the company operates a virtual power company in Texas called Tesla Electric, which utilizes the company's online platforms to manage customers Powerwall devices, discharging them into the grid to sell power when prices are high, earning money for customers. Business strategy At the time of Tesla's founding in 2003, electric vehicles were costly. In 2006, Musk stated that Tesla's strategy was to first produce high-price, low-volume vehicles, such as sports cars, for which customers are less sensitive to price. This would allow them to progressively bring down the cost of batteries, which in turn would allow them to offer cheaper and higher volume cars. Tesla's first vehicle, the Roadster, was low-volume (fewer than 2,500 were produced) and priced at over $100,000. The next models, the Model S and Model X, are more affordable but still luxury vehicles. The Model 3 and the Model Y, are priced still lower, and aimed at a higher volume market, selling over 100,000 vehicles each quarter. Tesla continuously updates the hardware of its cars rather than waiting for a new model year, unlike nearly every other car manufacturer. Unlike other automakers, Tesla does not rely on franchised dealerships to sell vehicles. Instead, the company sells vehicles directly through its website and a network of company-owned stores. The company is the first automaker in the United States to sell cars directly to consumers since the widespread adoption of the franchised dealer model. Some jurisdictions, particularly in the United States, prohibit auto manufacturers from directly selling vehicles to consumers. In these areas, Tesla has locations that it calls galleries that the company says "educate and inform customers about our products, but such locations do not actually transact in the sale of vehicles." In total, Tesla operates nearly 400 stores and galleries in more than 35 countries. These locations are typically located in retail shopping districts, inside shopping malls, or other high-traffic areas, instead of near other auto dealerships. Analysts describe Tesla as vertically integrated, given how it develops many components in-house, such as batteries, motors, and software. The practice of vertical integration is rare in the automotive industry, where companies typically outsource 80% of components to suppliers and focus on engine manufacturing and final assembly. Tesla generally allows its competitors to license its technology, stating that it wants to help its competitors accelerate the world's use of sustainable energy. Licensing agreements include provisions whereby the recipient agrees not to file patent suits against Tesla, or to copy its designs directly. Tesla retains control of its other intellectual property, such as trademarks and trade secrets to prevent direct copying of its technology. On April 15, 2024, Tesla secured a deal with Tata Electronics to supply semiconductor chips, marking a significant step in Tesla's expansion into India's automotive market. On May 2, 2024, Tesla announced that it had abandoned its plan for next-generation gigacasting, a cutting-edge manufacturing technique. Initially aiming to revolutionize production and reduce costs, Tesla has now opted for its more proven method of casting vehicle underbodies in three pieces. This strategic shift reflects the company's focus on self-driving vehicles and adjusting to market challenges. Technology Tesla is highly vertically integrated and develops many components in-house, such as batteries, motors, and software. As of 2023[update], Tesla uses four different battery cell form factors: 18650, 2170, 4680, and prismatic. Tesla purchases these batteries from three suppliers, CATL, LG Energy Solution, and Panasonic, the latter of which has co-located some of its battery production inside Tesla's Gigafactory Nevada. Tesla is also currently building out the capacity to produce its own batteries. Tesla batteries sit under the vehicle floor to save interior space. Tesla uses a multipart aluminum and titanium protection system to protect the battery from road debris or vehicle crashes. Business analysis company BloombergNEF estimated Tesla's battery pack cost in 2021 at $112 per kilowatt-hour (kWh), versus an industry average of $132 per kWh. Tesla was the first automaker to use cylindrical lithium-ion battery cells. When it built the first generation Roadster, it used off-the-shelf 18650-type (18 mm diameter, 65 mm height) cylindrical batteries that were already used for other consumer electronics. The cells provided an engineering challenge because each has a relatively low capacity, so thousands needed to be bundled together in a battery pack. Electrical and thermal management also proved to be a challenge, requiring liquid cooling and an intumescent fire prevention chemical. However, the decision turned out to be pragmatic because there was already a mature manufacturing process that could produce a high volume of the cells at a consistent quality. Although the 18650-type cells are the oldest technology, they are used in the Model S and X vehicles. Tesla sources these batteries with a nickel-cobalt-aluminum (NCA) cathode chemistry from Panasonic's factories in Japan. The next battery type to be used was the 2170-type (21 mm diameter, 70 mm height) cylindrical cell. The larger size was optimized for electric cars, allowing for a higher capacity per cell and a lower number of cells per battery pack. The 2170 was introduced for the Model 3 and Y vehicles. For vehicles built at the Tesla Fremont Factory, the company sources 2170-type batteries with a nickel-cobalt-aluminum cathode chemistry from Panasonic's production line at Gigafactory Nevada. In January 2021, Panasonic had the capacity to produce 39 GWh per year of battery cells there. Tesla Energy also uses 2170 cells in its Powerwall home energy storage product. For vehicles made at Gigafactory Shanghai and Gigafactory Berlin, batteries with a nickel-cobalt-manganese (NMC) cathode chemistry are sourced from LG Energy Solution's factories in China. Tesla's latest cylindrical cell design is the 4680-type (46 mm diameter, 80 mm height) introduced in 2021. The battery was developed in-house by Tesla and is physically 5 times bigger than the 2170-type, again allowing for a higher capacity per cell and a lower number of cells per battery pack. Currently, Tesla builds the 4680 cells itself and has not disclosed the cathode chemistry, though several independent analyses have indicated that it utilizes a nickel-manganese-cobalt (NMC811) chemistry. The company has already opened production lines in Fremont, California, and plans to open lines inside Gigafactory Nevada and Gigafactory Texas. The 4680 cells are used in the Model Y and Cybertruck built at Gigafactory Texas. Tesla also uses prismatic (rectangular) cells in many entry-level Model 3 and Model Y vehicles. The prismatic cells are a lithium iron phosphate battery (LFP or LiFePO4), which is a less energy-dense type, but does not contain any nickel or cobalt, which makes it less expensive to produce. Tesla sources these batteries from CATL's factories in China. As of April 2022[update], nearly half of Tesla's vehicle production used prismatic cells. Tesla Energy also uses prismatic cells in its Megapack grid-scale energy storage product. Tesla invests in lithium-ion battery research. In 2016, the company established a 5-year battery research and development partnership at Dalhousie University in Nova Scotia, Canada, with lead researcher Jeff Dahn. Tesla acquired Maxwell Technologies for over $200 million – and sold in 2021. It also acquired Hibar Systems. Tesla purchased several battery manufacturing patent applications from Springpower International, a small Canadian battery company. In 2023 Tesla broke ground on a $375 million lithium refining facility near Robstown, Texas in the US. The plant's process will eliminate the use of sulfuric acid in lithium processing, thereby eliminating the associated sodium sulfate waste product. Local concerns have been raised over the plant's water usage with initial estimates of 400,000 US gal (1,500,000 L; 330,000 imp gal) per day for normal operation, rising to a peak usage estimate of 8,000,000 US gal (30,000,000 L; 6,700,000 imp gal) per day. Tesla uses over-the-air updates to deliver updates to vehicles, adding features or fixing problems. This is enabled by tight integration between a few powerful onboard computers, compared to the way automakers had previously handled technology, by purchasing off-the-shelf electronic components for each subsystem that typically could not interface at the software level. The system has also allowed Tesla to control which features customers have access to. For example, for ease of assembly, all Model 3 vehicles were built with heated rear seats, but only customers who purchased a premium interior could turn them on. However, Tesla has allowed customers who didn't pay for a premium interior to purchase access to the heated rear seats. Tesla uses a similar software lock feature for Enhanced Autopilot and Full-Self Driving features, even though all vehicles are equipped with the computers and cameras necessary to enable those features. Tesla makes two kinds of electric motors: an induction motor, and an internal permanent magnet (IPM) motor with synchronous reluctance motor (SynRM) characteristics. The older design is a three-phase four-pole alternating current induction motor (also called an asynchronous motor) with a copper rotor (which inspired the Tesla logo). These motors use electromagnetic induction, by varying magnetic field to produce torque. Induction motors are used as the rear motor in the Model S and Model X, as the front motor in the Model 3 and Model Y, and were used in the first-generation Roadster. Since the introduction of the Model 3 in 2017, Tesla has also been building IPM-SynRM motors. These motors use an iron rotor, with slots cut into the metal where magnets are inserted in the internal core. As an IPM motor, it produces excellent starting torque; however, performance declines at high speeds due to counter-electromotive forces. For high-speed operation, Tesla engineers used iron's reluctance property, which allows it to spin in synchronization with the magnetic field of the stator if channels are cut into the core. These channels were also an ideal internal location for the permanent magnets to be mounted. The IPM-SynRM motor is currently used as the rear motor in the Model 3 and Model Y, the front motor of 2019-onward versions of the Model S and X, and are expected to be used in the Tesla Semi. The North American Charging Standard (NACS) is an electric vehicle charging connector system developed by Tesla. It has been used on all North American market Tesla vehicles since 2012 and was opened for use by other manufacturers in 2022. Since then, nearly every other vehicle manufacturer has announced that starting from 2025, their electric vehicles sold in North America will be equipped with the NACS charge port. Several electric vehicles charging network operators and equipment manufacturers have also announced plans to add NACS connectors. Tesla Autopilot is an advanced driver-assistance system (ADAS) developed by Tesla, Inc. that provides partial vehicle automation, corresponding to Level 2 automation as defined by SAE International. All Tesla vehicles produced after April 2019 include Autopilot, which features autosteer and traffic-aware cruise control. Customers can purchase or subscribe to an optional package called "Full Self-Driving (Supervised)", also known as "FSD", which adds features such as semi-autonomous navigation, response to traffic lights and stop signs, lane change assistance, self-parking, and the ability to summon the car from a parking space. Since 2013, Tesla CEO Elon Musk has repeatedly predicted that the company would achieve fully autonomous driving (SAE Level 5) within one to three years, but these goals are still to be met. The branding of Full Self-Driving has drawn criticism for potentially misleading consumers. Tesla vehicles currently operate at Level 2 automation, which requires continuous driver supervision and does not constitute "full" self-driving capability. Previously, the Autopilot branding was also criticized for similar reasons, despite the fact that no autopilot system in aircraft rendered them fully autonomous. Tesla claims that its driver-assistance features improve safety and reduce accidents caused by driver fatigue or inattention. However, collisions and fatalities involving Autopilot have attracted scrutiny from media and regulators. Industry experts and safety advocates have raised concerns about the deployment of the software to the general public, calling the practice risky and potentially irresponsible. In November 2016, the company announced the Tesla Glass technology group. The group produced the roof glass for the Tesla Model 3. It also produces the glass used in the Tesla Solar Roof's solar shingles. In preparation for Model 3 production, Tesla heavily invested in robotics and automation for vehicle assembly, and between 2015 and 2017, the company purchased several companies involved in automation and robotics including Compass Automation, Grohmann Automation, Perbix Machine Company, and Riviera Tool and Die. Musk later said that the robotics slowed production of the vehicles. Subsequently, Tesla shifted towards using massive casting machines, known as Giga Presses. These machines streamline production by creating large, single-piece underbodies, leading to reductions in production time, labor costs, factory footprint, and the number of welding robots. Critics note that reducing the number of components makes the vehicles harder or more expensive to repair after an accident. The company has been developing a humanoid robot called Optimus since 2022. Musk has stated that Optimus leverages the same core software powering Tesla's Full Self-Driving technology and has suggested that it could be used within Tesla's factories to mitigate labor shortages through the automation of repetitive tasks. On January 28, 2026, Tesla announced it would stop manufacturing the Model S and Model X to focus efforts on Optimus. The goal is to produce 1 million robots per year at the Fremont facility. Facilities The company operates seven large factories and about a dozen smaller factories around the world. As of December 2024[update], the company also operates more than 1,350 retail stores, galleries, service, delivery, and body shop locations globally. Tesla was founded in San Carlos, California in 2003. In 2008, the company opened its first production facility at a former Chevrolet dealership in Menlo Park, California. The original roadster was assembled inside the service bays until 2012 and used the company's showroom as a retail store. Another retail store was opened in Los Angeles the same year. In 2010, Tesla moved its corporate headquarters and opened a powertrain development facility in Palo Alto. Tesla's first major assembly plant occupies the former NUMMI plant in Fremont, California, known as the Tesla Fremont Factory. The factory was originally opened by General Motors in 1962, and then operated by NUMMI, a joint venture of GM and Toyota from 1984. The joint venture ended when GM entered bankruptcy in 2009. In 2010, Toyota agreed to sell the plant to Tesla at a significant discount. Tesla's first purpose-built facility was opened in Nevada in 2016. Gigafactory Nevada produces the Powerwall, battery cells in partnership with Panasonic, Model 3 drivetrains, and the Tesla Semi. The factory received substantial subsidies (abatements and credits) from the local and state government, that, in exchange for opening in their jurisdiction, allowed Tesla to operate essentially tax-free for 10 years, later extended to 20 years in exchange for expanding the factory to add a production line for the Tesla Semi and add additional battery manufacturing capacity. As part of the acquisition of SolarCity in 2016, Tesla gained control of Gigafactory New York in Buffalo on the site of a former Republic Steel plant. The state of New York spent cash to build and equip the factory through the Buffalo Billion program. In 2017, the factory started production of the Tesla Solar Roof, but faced multiple production challenges. Since 2020, Tesla has also assembled Superchargers in New York. The plant has been criticized for offering little economic benefit for the state funding. In 2018, Tesla assembled tension fabric buildings at the Fremont plant to meet production goals of 5,000 cars produced a month. The structure was assembled in two weeks and measured 53 feet high, 150 feet wide, and 900 feet long. On July 23, 2020, Tesla picked Austin, Texas, as the site of its fifth Gigafactory, since then known as Gigafactory Texas. Giga Texas is the only factory that produces the Tesla Cybertruck and produces Model Y cars for the Eastern United States. On December 1, 2021, Tesla announced it relocated its legal headquarters from Palo Alto to the Gigafactory Texas site in Austin. However, Tesla has retained the Palo Alto building. On April 7, 2022, Tesla celebrated the opening of Gigafactory Texas in a public event. Tesla acquired a former JC Penney distribution center near Lathrop, California in 2021 to build the "Megafactory" to manufacture the Megapack, the company's large-scale energy storage product. The location opened in 2022. Tesla announced in February it would open a new global engineering headquarters in Palo Alto, moving into a corporate campus once owned by Hewlett Packard, located a couple of miles from Tesla's former headquarters building. Tesla has announced plans to open a Gigafactory Mexico, the company's sixth Gigafactory, near Monterrey, Mexico. However, as of July 2024[update], the company had placed construction on hold until after the 2024 United States presidential election because former President Trump has pledged to add tariffs on cars made in Mexico.[needs update] Tesla opened its first European store in June 2009 in London. Tesla's European headquarters are in the Netherlands, part of a group of Tesla facilities in Tilburg, including the company's European Distribution Centre. In late 2016, Tesla acquired German engineering firm Grohmann Engineering as a new division dedicated to helping Tesla increase the automation and effectiveness of its manufacturing process. After winding down existing contracts with other manufacturers, the renamed Tesla Automation now works exclusively on Tesla projects. Tesla announced its plans to build a car and battery factory in Europe in 2016. Several countries campaigned to be the host, and eventually Germany was chosen in November 2019. On March 22, 2022, Tesla's first European Gigafactory named Gigafactory Berlin opened with planned capacity to produce 500,000 electric vehicles annually as well as batteries for the cars. Tesla opened its first showroom in Asia in Tokyo, Japan, in October 2010. In July 2018, Tesla signed an agreement with Chinese authorities to build a factory in Shanghai, China, which was Tesla's first Gigafactory outside the United States. The factory building was finished in August 2019, and the initial Tesla Model 3s were in production from Gigafactory Shanghai in October 2019. In 2024, China accounted for 21% of Tesla sales revenue, and was the second-largest market for Tesla after the United States, which accounted for 48% of its sales. Tesla also sold 37% of its cars in China in 2024. Tesla expressed interest in 2023 in expanding to India and perhaps building a future Gigafactory in the country. The company established a legal presence in the nation in 2021 and plans to open an office in Pune starting in October 2023. Partners In January 2010, Tesla and battery cell maker Panasonic announced that they would together develop nickel-based lithium-ion battery cells for electric vehicles. Beginning in 2010, Panasonic invested $30 million for a multi-year collaboration on new battery cells designed specifically for electric vehicles. In July 2014, Panasonic reached a basic agreement with Tesla to participate in battery production at Giga Nevada. Tesla and Panasonic also collaborated on the manufacturing and production of photovoltaic (PV) cells and modules at the Giga New York factory in Buffalo, New York. The partnership started in mid-2017 and ended in early 2020, before Panasonic exited the solar business entirely in January 2021. In March 2021, the outgoing CEO of Panasonic stated that the company plans to reduce its reliance on Tesla as its battery partnership evolves. Tesla has long-term contracts in place for lithium supply. In September 2020, Tesla signed a sales agreement with Piedmont Lithium to buy high-purity lithium ore for up to ten years, specifically to supply "spodumene concentrate from Piedmont's North Carolina mineral deposit". In 2022, Tesla contracted for 110,000 tonnes of spodumene concentrate over four years from the Core Lithium's lithium mine in the Northern Territory of Australia. Tesla also has a range of minor partnerships, for instance, working with Airbnb and hotel chains to install destination chargers at selected locations. Another minor partnership would include Tesla's partnership with insurance company, Lemonade, to launch an autonomous car insurance. Daimler and Tesla began working together in late 2007. On May 19, 2009, Daimler bought a stake of less than 10% in Tesla for a reported $50 million. As part of the collaboration, Herbert Kohler, vice-president of E-Drive and Future Mobility at Daimler, took a Tesla board seat. On July 13, 2009, Daimler sold 40% of its acquisition to Aabar, an investment company controlled by the International Petroleum Investment Company owned by the government of Abu Dhabi. In October 2014, Daimler sold its remaining holdings for a reported $780 million. Tesla supplied battery packs for Freightliner Trucks in 2010. The company also built electric-powertrain components for the Mercedes-Benz A-Class E-Cell, with 500 cars planned to be built for trial in Europe beginning in September 2011. Tesla produced and co-developed the Mercedes-Benz B250e's powertrain, which ended production in 2017. The electric motor was rated 134 hp (100 kW) and 230 pound force-feet (310 N⋅m), with a 36 kWh (130 MJ) battery. The vehicle had a driving range of 200 km (124 mi) with a top speed of 150 km/h (93 mph). Daimler division Smart produced the Smart ED2 cars from 2009 to 2012 which had a 14-kilowatt-hour (50 MJ) lithium-ion battery from Tesla. In May 2010, Tesla and Toyota announced a deal in which Tesla purchased the former NUMMI factory from Toyota for $42 million, Toyota purchased $50 million in Tesla stock, and the two companies collaborated on an electric vehicle. In July 2010, the companies announced they would work together on a second generation Toyota RAV4 EV. The vehicle was unveiled at the October 2010 Los Angeles Auto Show and 35 pilot vehicles were built for a demonstration and evaluation program that ran through 2011. Tesla supplied the lithium metal-oxide battery and other powertrain components based on components from the Roadster. The production version was unveiled in August 2012, using battery pack, electronics, and powertrain components from the Tesla Model S sedan (also launched in 2012). The RAV4 EV had a limited production run which resulted in just under 3,000 vehicles being produced, before it was discontinued in 2014. According to Bloomberg News, the partnership between Tesla and Toyota was "marred by clashes between engineers". Toyota engineers rejected designs that Tesla had proposed for an enclosure to protect the RAV4 EV's battery pack. Toyota took over responsibility for the enclosure's design and strengthened it. In 2014, Tesla ended up adding a titanium plate to protect the Model S sedan's battery after some debris-related crashes led to cars catching fire. On June 5, 2017, Toyota announced that it had sold all of its shares in Tesla and halted the partnership. Initial versions of Autopilot were developed in partnership with Mobileye beginning in 2014. Mobileye ended the partnership on July 26, 2016, citing "disagreements about how the technology was deployed". Lawsuits and controversies In 2008, Tesla provided two Roadsters to the British entertainment car-testing television programme Top Gear for testing, apparently confusing it with another programme, and suggesting "Matt and Alex could even take the Tesla for a spin and test it out, reaffirming its virtues?" Top Gear tested the car as a performance sports car—in a format designed for humour and entertainment, not an unbiased review about its intended purpose—and made some criticisms of its use as such, though full of praise for its performance and handling on the track. Tesla was incensed about what it considered unfair criticism. For example, the test affirmed that in the performance tests they ran the battery charge would have lasted for 55 miles, a figure that actually came from Tesla. Tesla said that the figure was untrue and libelous as the car's mileage in normal use was claimed to be 211, which they sued, and lost. In 2025, when Tesla was the subject of protests and vandalism in response to Elon Musk's political activities with the Trump government, former Top Gear presenter Jeremy Clarkson published gloating remarks, saying that the vandalism was "not funny. But also, it's kinda hilarious. Especially if you're me." In 2021, seven women came forward with claims of having faced sexual harassment and discrimination while working at Tesla's Fremont factory. They accused the company of facilitating a culture of rampant sexual harassment. The women said they were consistently subjected to catcalling, unwanted advances, unwanted touching, and discrimination while at work. "I was so tired of the unwanted attention and the males gawking at me, I proceeded to create barriers around me just so I could get some relief," Brooks told The Washington Post. "That was something I felt necessary just so I can do my job." Stories range from intimate groping to being called out to the parking lot for sex. Women feared calling Human Resources for help, as their supervisors were often participants. Musk himself is not indicted, but most of the women pressing charges believe their abuse is connected to the behavior of Musk as CEO. They cite his crude remarks about women's bodies, wisecracks about starting a university that abbreviated to "T.IT.S.", and his generally dismissive attitude towards reporting sexual harassment. "What we're addressing for each of the lawsuits is just a shocking pattern of rampant harassment that exists at Tesla," said attorney David A. Lowe. In 2017, another woman had accused Tesla of very similar behavior and was subsequently fired. In a statement to the Guardian, Tesla confirmed the company had terminated her employment, saying it had thoroughly investigated the employee's allegations with the help of "a neutral, third-party expert" and concluded her complaints were unmerited. In May 2022, a California judge ruled that the sexual harassment lawsuit could move to court, rejecting Tesla's request for closed-door arbitration. Tesla has had labor disputes in the United States, Germany and Sweden, including an ongoing strike in Sweden. Tesla, Inc., an American electric car and solar panel manufacturer, has more than 140,000 workers employed across its global operations as of January 2024. Tesla CEO Elon Musk has expressed his opposition to unions on Twitter (now called X). The National Labor Relations Board held that one tweet was unlawful, but was overturned by a federal appeals court. All unionization efforts at the Tesla Fremont Factory and Gigafactory New York in the United States have been unsuccessful. In Germany, Gigafactory Berlin-Brandenburg and Tesla Automation have elected works councils, but they have not signed collective bargaining agreements with the German trade union IG Metall. The Gigafactory Berlin-Brandenburg works council is divided into pro-union and anti-union factions. In Sweden, mechanics who are members of the trade union IF Metall have been on strike since October 27, 2023, making it the longest strike in Sweden since 1938. The strike has since spread, with other Swedish, Danish and Norwegian unions calling for solidarity strikes. In June 2016, the National Highway Traffic Safety Administration (NHTSA) took issue with Tesla's use of nondisclosure agreements (NDAs) regarding customer repairs and, in October 2021, the NHTSA formally asked Tesla to explain its NDA policy regarding customers invited into the FSD Beta. Tesla has used NDAs on multiple occasions with both employees and customers to allegedly prevent possible negative coverage. From 2014 to 2018, Tesla's Fremont Factory had three times as many Occupational Safety and Health Administration (OSHA) violations as the ten largest US auto plants combined. An investigation by the Reveal podcast alleged that Tesla "failed to report some of its serious injuries on legally mandated reports" to downplay the extent of injuries. In January 2019, former Tesla security manager Sean Gouthro filed a whistleblower complaint alleging that the company had hacked employees' phones and spied on them, while also failing to report illegal activities to the authorities and shareholders. Several legal cases have revolved around alleged whistleblower retaliation by Tesla. These include the dismissal of Tesla safety official Carlos Ramirez and Tesla security employee Karl Hansen. In 2020, the court ordered Hansen's case to arbitration. In June 2022, the arbitrator filed an unopposed motion with the court stating Hansen "has failed to establish the claims… Accordingly, his claims are denied, and he shall take nothing". The California Civil Rights Department filed a suit in 2022 alleging "a pattern of racial harassment and bias" at the Tesla Fremont factory. As of April 2023,[update] the department is also conducting a probe of the factory based on a 2021 complaint and claims that Tesla has been obstructing the investigation. According to Jalopnik, a 2024 study by iSeeCars found that Tesla had the highest fatal crash rate of any automaker in the United States. A 2025 lawsuit in California alleged that Tesla odometers were falsely exaggerating their readings to prematurely void their warranty. In 2025 in the US, Tesla faced a new federal investigation into possible safety defects in its FSD system. This followed 44 separate incident reports where Tesla drivers said the system caused them to commit safety violations, such as driving through red traffic lights. There have been numerous concerns about Tesla's financial reporting. In 2013, Bloomberg News questioned whether Tesla's financial reporting violated Generally Accepted Accounting Principles (GAAP) reporting standards. Fortune accused Tesla in 2016 of using creative accounting to show positive cash flow and quarterly profits. In 2018, analysts expressed concerns over Tesla's accounts receivable balance. In September 2019, the SEC questioned Tesla CFO Zach Kirkhorn about Tesla's warranty reserves and lease accounting. In a letter to his clients, hedge fund manager David Einhorn, whose firm suffered losses from its short position against Tesla that quarter, accused Musk in November 2019 of "significant fraud", and publicly questioned Tesla's accounting practices, telling Musk that he was "beginning to wonder whether your accounts receivable exist." From 2012 to 2014, Tesla earned more than $295 million in Zero Emission Vehicle credits for a battery-swapping technology that was never made available to customers. Staff at California Air Resources Board were concerned that Tesla was "gaming" the battery swap subsidies and in 2013 recommended eliminating the credits. A consolidated shareholders lawsuit alleges that Musk knew SolarCity was going broke before the acquisition, that he and the Tesla board overpaid for SolarCity, ignored their conflicts of interest and breached their fiduciary duties in connection with the deal, and failed to disclose "troubling facts" essential to an analysis of the proposed acquisition. The members of the board settled in 2020, leaving Musk as the only defendant. In April 2022, the Delaware Court of Chancery ruled in favor of Musk, and its ruling was upheld by the Delaware Supreme Court in June 2023. In August 2018, Musk tweeted, "Am considering taking Tesla private at $420. Funding secured." The tweet caused the stock to initially rise, but then drop when it was revealed to be false. Musk settled fraud charges with the US Securities and Exchange Commission (SEC) over his false statements in September 2018. According to the terms of the settlement, Musk agreed to have his tweets reviewed by Tesla's in-house counsel, he was removed from his chairman role at Tesla temporarily, and two new independent directors were appointed to the company's board. Tesla and Musk also paid civil penalties of $20 million each. A civil class-action shareholder lawsuit over Musk's statements and other derivative lawsuits were also filed against Musk and the members of Tesla's board of directors, as then constituted, regarding claims and actions made that were associated with potentially going private. In February 2023, a California jury unanimously found Musk and Tesla not liable in the class-action lawsuit. In September 2018, Tesla disclosed that it was under investigation by the US Federal Bureau of Investigation (FBI) regarding its Model 3 production figures. Authorities were investigating whether the company misled investors and made projections about its Model 3 production that it knew would be impossible to meet. A stockholder class action lawsuit against Tesla related to Model 3 production numbers (unrelated to the FBI investigation) was dismissed in March 2019. In May 2024, Reuters reported that US federal prosecutors were investigating whether the company committed securities or wire fraud by "misleading investors and consumers" about Autopilot and Full Self-Driving. Unlike other automakers, Tesla does not rely on franchised auto dealerships to sell vehicles and instead directly sells vehicles through its website and a network of company-owned stores. In some areas, Tesla operates locations called "galleries" which "educate and inform customers about our products, but such locations do not actually transact in the sale of vehicles." This is because some jurisdictions, particularly in the United States, prohibit auto manufacturers from directly selling vehicles to consumers. Dealership associations have filed lawsuits to prevent direct sales. These associations argued that the franchise system protects consumers by encouraging dealers to compete, lowering the price a customer pays. They also claimed that direct sales would allow manufacturers to undersell their dealers. The United States Federal Trade Commission ultimately disproved the associations' claims and recommended allowing direct manufacturer sale, which they concluded would save consumers 8% in average vehicle price. Tesla has also lobbied state governments for the right to directly sell cars. The company has argued that directly operating stores improves consumer education about electric vehicles, because dealerships would sell both Tesla and gas-powered vehicles. Doing this, according to the company, would then set up a conflict of interest for the dealers since properly advertising the benefits of an electric car would disparage the gas-powered vehicles, creating a disincentive to dealership EV sales. Musk himself further contended that dealers would have a disincentive to sell electric vehicles because they require less maintenance and therefore would reduce after-sales service revenue, a large profit center for most dealerships. Tesla has sued former employees for stealing company information, including those who left to work for a rival such as XPeng and Zoox. For example, Guangzhi Cao, a Tesla engineer, was accused of uploading Tesla Autopilot source code to his iCloud account, and Alex Khatilov was accused of downloading files related to its Warp Drive software to his personal Dropbox account. In 2018, a class action was filed against Musk and the members of Tesla's board, alleging they breached their fiduciary duties by approving Musk's stock-based compensation plan. Musk received the first portion of his stock options payout, worth more than $700 million, in May 2020. In July 2023, Tesla board members returned $735 million to the company to settle a claim from a 2020 lawsuit alleging misappropriation of 11 million stock options granted to Elon Musk, Kimbal Musk, Larry Ellison, and others from 2017 to 2020. In 2019, the United States Environmental Protection Agency fined Tesla for hazardous waste violations that occurred in 2017. In June 2019, Tesla began negotiating penalties for 19 environmental violations from the Bay Area Air Quality Management District; the violations took place around Tesla Fremont's paint shop, where there had been at least four fires between 2014 and 2019. Environmental violations and permit deviations at Tesla's Fremont Factory increased from 2018 to 2019 with the production ramp of the Model 3. In June 2018, Tesla employee Martin Tripp leaked information that Tesla was scrapping or reworking up to 40% of its raw materials at the Nevada Gigafactory. After Tesla fired him for the leak, Tripp filed a lawsuit and claimed Tesla's security team gave police a false tip that he was planning a mass shooting at the Nevada factory. The court ruled in Tesla's favor on September 17, 2020. In January 2024, 25 California counties sued Tesla, accusing the company of violating state health and safety codes by illegally disposing of hazardous waste. Later that week, the case was settled on the conditions that Tesla pay US$1.5 million and admit to acting "intentionally" and "negligently". Moreover, Tesla also agreed to train its employees on hazardous waste disposal and to have 10 percent of Tesla's facilities audited for waste disposal for the next 5 years. In August 2019, Walmart filed a multi-million-dollar lawsuit against Tesla, claiming that Tesla's "negligent installation and maintenance" of solar panels caused roof fires at seven Walmart stores dating back to 2012. Walmart settled with Tesla in November 2019; the terms of the settlement were not disclosed. In April 2021, a Norwegian judge found Tesla guilty of throttling charging speed through a 2019 over-the-air software update, after they failed to respond to the lawsuit. The 30 customers who were part of the lawsuit were awarded 136,000 Norwegian kroner each ($16,000). Tesla has faced numerous complaints regarding workplace harassment and racial discrimination, with one former Tesla worker who attempted to sue the employer describing it as "a hotbed of racist behavior." As of December 2021, three percent of leadership at the company were African-American. A former Black worker described the work environment at Tesla's Buffalo plant as a "very racist place." Tesla and SpaceX's treatment of Juneteenth in 2020 also came under fire. Approximately 100 former employees have submitted signed statements alleging that the company discriminates specifically against African Americans and "allows a racist environment in its factories." Few of these cases against Tesla ever make it to trial as most employees are made to sign arbitration agreements. Employees are afterwards required to resolve such disputes out of court, and behind closed doors. According to the state's Department of Fair Employment and Housing, the Fremont factory is a racially segregated place where Black employees claim they are given the most menial and physically demanding work. The accusations of racism culminated in February 2022 with the California Department of Fair Employment and Housing suing Tesla for "discriminating against its Black workers." In July 2021, former employee Melvin Berry received $1 million in his discrimination case in arbitration against the company after he claimed he was referred to by the n-word and forced to work longer hours at the Fremont plant. In October 2021, a jury verdict in the Owen Diaz vs. Tesla trial awarded the plaintiff $137 million in damages after he had faced racial harassment at Tesla's Fremont facility during 2015–2016. In a blog, Tesla stressed that Diaz was never "really" a Tesla worker, and that most uttering of the n-word were expressed in a friendly manner. In April 2022, federal judge William Orrick upheld the jury finding of Tesla's liability but reduced the total damage down to $15 million. Diaz was given a two-week deadline to decide if he would collect the damages. In June 2022, Diaz announced that he would be rejecting the $15 million award, opening the door for a new trial. In April 2023, Diaz was awarded $3.2 million in the new trial. Tesla's initial response to the COVID-19 pandemic in the United States has been the subject of considerable criticism. Musk had sought to exempt the Tesla Fremont factory in Alameda County, California, from the government's stay-at-home orders. In an earnings call in April, he was heard calling the public health orders "fascist". He had also called the public's response to the pandemic "dumb" and had said online that there would be zero cases by April. In May 2020, while Alameda County officials were negotiating with the company to reopen the Fremont Factory on the 18th, Musk defied local government orders by restarting production on the 11th. Tesla also sued Alameda County, questioning the legality of the orders, but backed down after the Fremont Factory was given approval to reopen. In June 2020, Tesla published a detailed plan for bringing employees back to work and keeping them safe, However, some employees still expressed concern for their health. In May 2020, Musk told workers that they could stay home if they felt uncomfortable coming back to work. But in June, Tesla dismissed an employee who criticized the company for taking inadequate safety measures to protect workers from the coronavirus at the Fremont Factory. Three more employees at Tesla's Fremont Factory claimed they were laid off for staying home out of fear of catching COVID-19. This was subsequently denied by Tesla, which even stated that the employees were still on the payroll. COVID-19 cases at the factory grew from 10 in May 2020 to 125 in December 2020, with about 450 total cases in that time out of the approximately 10,000 workers at the plant (4.5%). In China, Tesla had what one executive described as "not a green light from the government to get back to work – but a flashing-sirens police escort." Tesla enjoyed special treatment and strong government support in China, including tax breaks, cheap financing, and assistance in building its Giga Shanghai factory at breakneck speeds. Musk has praised China's way of doing things, a controversial stance due to deteriorating US–Chinese relations, the persecution of Uyghurs in China, and alleged human rights abuses in Hong Kong. In March 2023, a class action antitrust lawsuit was filed against Tesla by Virginia M. Lambrix in San Francisco, alleging that the company unlawfully monopolized the market for maintenance and repair of its vehicles in violation of the Sherman Act and California antitrust law, as a result of which owners were "forced to pay supracompetitive prices and suffer exorbitant wait times" for maintenance services and repair parts. The lawsuit was later combined with four other similar suits. While six out of eight alleged antitrust violations were dismissed, in June 2024 US District Judge Trina Thompson allowed two claims to proceed, including alleged violations of California's Cartwright Act and Unfair Competition Law (UCL), with the court finding evidence of a repairs monopoly in Tesla's designing of its vehicles to require diagnostic and software updates that only the company could provide, and evidence of a parts monopoly in Tesla's restricting original equipment manufacturers from selling "to anyone other than Tesla." In February 2025, numerous planned protests occurred outside of Tesla showrooms and service centers throughout the US. The protests were in response to Musk's contentious actions as leader of the Department of Government Efficiency (DOGE) at the beginning of Donald Trump's second term as US president. On February 12, 2025, the Associated Press reported that in China, Tesla had sued six car owners, six or more bloggers, and two media outlets for defamation since 2021. The car owners had complained publicly about Tesla's quality and accidents caused by major mechanical malfunctions, like brake failure. The bloggers and media outlets had written critically about the company. As of the date of publication, the Associated Press reported that Tesla had won 11 verdicts, two judgments were on appeal, and one had been settled outside court. Criticism A Tesla vehicle was only the second product ever reviewed by the Mozilla Foundation that failed all of their privacy criteria. A Tesla owner filed a lawsuit in 2023 following a Reuters report that Tesla employees shared "highly invasive videos and images recorded by customers' car cameras" with one another. Internal data troves shared with various international government agencies and news organizations by former employee and whistleblower Lukasz Krupski in late 2023 implicated Tesla in "serious data protection lapse[s]." The data Krupski retrieved included "information about current and former Tesla staff, including passport numbers, medical details and salaries" and was readily available on internal systems that most employees had access to. As of November 2023, the Data Protection Authority in the Netherlands was investigating whether Tesla's alleged lack of internal security violated privacy laws. TSLAQ is a collective of Tesla skeptics and short-sellers who are vocally critical of Tesla and aim to "shape [the] perception [of Tesla] and move its stock." In January 2020, 20% of Tesla stock was shorted, the highest at that time of any stock in the US equity markets. By early 2021, according to CNN, short sellers had lost $40 billion during 2020 as the stock price climbed much higher. Michael Burry, a short seller portrayed in The Big Short, had shorted Tesla previously via his firm Scion Asset Management, but removed his position in October 2021. According to automotive journalist Jamie Kitman, when multiple CEOs of major automotive manufacturers approached Tesla for EV technology that Musk had claimed the company was willing to share, they instead were offered the opportunity to buy regulatory credits from the company. This suggested, according to Kitman, that "the company may not be as eager for the electric revolution to occur as it claims." In 2020, the New York State Comptroller released an audit of the Giga New York factory project, concluding that it presented many red flags, including a lack of basic due diligence and that the factory itself produced only $0.54 in economic benefits for every $1 spent by the state. Musk has been criticized for repeatedly pushing out both production and release dates of products. By one count in 2016, Musk had missed 20 projections. In October 2017, Musk predicted that Model 3 production would be 5,000 units per week by December. A month later, he revised that target to "sometime in March" 2018. Delivery dates for the Model 3 were delayed as well. Other projects like converting supercharger stations to be solar-powered have also lagged projections. Musk responded in late 2018: "punctuality is not my strong suit...I never made a mass-produced car. How am I supposed to know with precision when it's gonna get done?" Accolades In 2019, Model 3 earned the Top Safety Pick+ Award from the Insurance Institute for Highway Safety. In 2022, Model Y has received the highest safety score of any car analyzed under Euro NCAP. In 2022, Tesla won S&P Global Automotive Loyalty Awards in 7 categories. In 2025, TIME magazine named Model S as one of the best inventions of the past 25 years, praising it as a "game-changing advance for electric vehicles". Motor Trend has shortlisted Cybertruck for the magazine's 2025 Truck of the Year, praising its steer-by-wire system and other tech, but criticizing "the design's many compromises". Vehicle product issues On April 20, 2017, Tesla issued a worldwide recall of 53,000 (~70%) of the 76,000 vehicles it sold in 2016 due to faulty parking brakes which could become stuck and "prevent the vehicles from moving". On March 29, 2018, Tesla issued a worldwide recall of 123,000 Model S cars built before April 2016 due to corrosion-susceptible power steering bolts, which could fail and require the driver to use "increased force" to control the vehicle. In October 2020, Tesla initiated a recall of nearly 50,000 Model X and Y vehicles throughout China for suspension issues. Soon after in November, the NHTSA announced it had opened its investigation into 115,000 Tesla cars regarding "front suspension safety issues", citing specifically 2015–2017 Model S and 2016–2017 Model X years. Cases of the "whompy wheel" phenomenon, which also included Model X and the occasional Model 3 cars, have been documented through 2020. In February 2021, Tesla was required by the NHTSA to recall 135,000 Model S and Model X vehicles built from 2012 to 2018 due to using a flash memory device that was rated to last only 5 to 6 years. The problem was related to touchscreen failures that could possibly affect the rearview camera, safety systems, Autopilot and other features. The underlying technical reason is that the car writes a large amount of syslog content to the device, wearing it out prematurely. Also in February 2021, the German Federal Motor Transport Authority (KBA) ordered Tesla to recall 12,300 Model X cars because of "body mouldings problems". In June 2021, Tesla recalled 5,974 electric vehicles due to worries that brake caliper bolts might become loose, which could lead to loss of tire pressure, increasing the chance of a crash. On December 30, 2021, Tesla announced that they are recalling more than 475,000 US model vehicles. This included 356,309 Model 3 Tesla vehicles from 2017 to 2020 due to rear-view camera issues and a further 119,009 Tesla Model S vehicles due to potential problems with the trunk or boot. The Model S recall includes vehicles manufactured between 2014 and 2021. Around 1% of recalled Model 3s may have a defective rear-view camera, and around 14% of recalled Model S may have the defect. The recall was not linked to a contemporaneous issue regarding the "Passenger Play" feature, which allowed games to be played on the touchscreen while the car is in motion. After an investigation was launched by the NHTSA covering 585,000 vehicles, Tesla agreed to make changes where the feature would be locked and unusable while the car is moving. In September 2022, Tesla announced that they are recalling almost 1.1 million US model vehicles because the automatic window reversal system might not react correctly after detecting an obstruction, increasing the risk of injury. In response,[clarification needed] Tesla announced an over-the-air software fix. In February 2023, Tesla recalled its FSD software following a recommendation from NHTSA; the recall applied to approximately 360,000 cars. NHTSA found that FSD caused "unreasonable risk" when used on city streets. In March 2023, about 3,500 Model Y Teslas were recalled for a bolting issue concerning the cars' second-row seats. In December 2023, following a 2-year investigation by the NHTSA, Tesla issued a wider recall on all vehicles equipped with any version of Autosteer, including 2012–2023 Model S; 2016–2023 Model X; 2017–2023 Model 3; and 2020–2023 Model Y, covering 2,031,220 vehicles in total. The NHTSA concluded that Autosteer's controls were not sufficient to prevent misuse and did not ensure that the drivers maintained "continuous and sustained responsibility for vehicle operation" and states that affected vehicles will receive an over-the-air software remedy. Tesla customers have reported the company as being "slow" to address how their cars can ignite. In 2013, a Model S caught fire after the vehicle hit metal debris on a highway in Kent, Washington. Tesla confirmed the fire began in the battery pack and was caused by the impact of an object. As a result of this and other incidents, Tesla announced its decision to extend its current vehicle warranty to cover fire damage. In March 2014, the NHTSA announced that it had closed the investigation into whether the Model S was prone to catch fire, after Tesla said it would provide more protection to its battery packs. All Model S cars manufactured after March 6, 2014, have had the 0.25-inch (6.4 mm) aluminum shield over the battery pack replaced with a new three-layer shield. In October 2019, the NHTSA opened an investigation into possible battery defects in Tesla's Model S and X vehicles from 2012 to 2019 that could cause "non-crash" fires. A Model S driver died in a collision with a tractor-trailer in 2016, while the vehicle was in Autopilot mode; the driver is believed to be the first person to have died in a Tesla vehicle in Autopilot. The NHTSA investigated the accident but found no safety-related defect trend. In March 2018, a driver of a Tesla Model X was killed in a crash. Investigators say that the driver of the vehicle had his car in 'self-driving' mode and was using his phone to play games when the vehicle collided with the barrier in the middle of the freeway. Through investigation, the NTSB found that the Tesla malfunctioned due to the system being confused by an exit on the freeway. According to a document released in June 2021, the NHTSA has initiated at least 30 investigations into Tesla crashes that were believed to involve the use of Autopilot, with some involving fatalities. In early September 2021, the NHTSA updated the list with an additional fatality incident and ordered Tesla to hand over all extensive[clarification needed] data pertaining to US cars with Autopilot to determine if there is a safety defect that leads Tesla cars to collide with first-responder vehicles. In late September 2021, Tesla released an over-the-air software update to detect emergency lights at night. In October 2021, the NHTSA asked Tesla why it did not issue a recall when it sent out that update. In June 2022, the NHTSA said it would expand its probe, extending it to 830,000 cars from all current Tesla models. The probe was moved up from the Preliminary Evaluation level to Engineering Analysis. The regulator cited the reason for the expansion as the need to "explore the degree to which Autopilot and associated Tesla systems may exacerbate human factors or behavioral safety risks by undermining the effectiveness of the driver's supervision." A safety test conducted by the Dawn Project in August 2022 demonstrated that a test driver using the beta version of Full Self-Driving repeatedly hit a child-sized mannequin in its path, but there has been controversy over its conclusions. Several Tesla owners responded by conducting their own, independent tests using children; NHTSA released a statement warning against the practice. In 2025, the California DMV filed a lawsuit against Tesla, claiming it had misled drivers about its vehicles' self-driving capabilities. The DMV sought to suspend Tesla's sales and manufacturing in the state of California for a minimum of 30 days. In August 2015, two researchers said they were able to take control of a Tesla Model S by hacking into the car's entertainment system. The hack required the researchers to physically access the car. Tesla issued a security update for the Model S the day after the exploit was announced. In September 2016, researchers at Tencent's Keen Security Lab demonstrated a remote attack on a Tesla Model S and controlled the vehicle in both Parking and Driving Mode without physical access. They were able to compromise the automotive networking bus (CAN bus) when the vehicle's web browser was used while the vehicle was connected to a malicious Wi-Fi hotspot. This was the first case of a remote control exploit demonstrated on a Tesla. The vulnerability was disclosed to Tesla under their bug bounty program and patched within 10 days, before the exploit was made public. Tencent also hacked the doors of a Model X in 2017. In January 2018, security researchers informed Tesla that an Amazon Web Services account of theirs could be accessed directly from the Internet and that the account had been exploited for cryptocurrency mining. Tesla responded by securing the compromised system, rewarding the security researchers financially via their bug bounty program, and stating that the compromise did not violate customer privacy, nor vehicle safety or security. Later in 2019, Tesla awarded a car and $375,000 to ethical hackers during a Pwn2Own Model 3 hacking event. In June 2022, Martin Herfurt, a security researcher in Austria, discovered that changes made to make Tesla vehicles easier to start with NFC cards also allowed for pairing new keys to the vehicle, allowing an attacker to enroll their keys to a vehicle. In February 2022, Tesla drivers reported a surge in "phantom braking" events when using Tesla Autopilot, which coincides with the automaker's removal of radar as a supplemental sensor in May 2021. In response, NHTSA opened an investigation the same month. In August 2022, a consumer class action was filed alleging that the Autopilot system in Tesla cars "contains a hazardous defect which causes the vehicle to suddenly and unintentionally brake". In November 2024, Tesla failed to persuade a US District Judge to dismiss the lawsuit. The next court date is January 7, 2025. In May 2023, German business newspaper Handelsblatt published a series of articles based on a trove of internal Tesla data submitted to them from informants. The 100 gigabytes of data "contain[ed] over 1,000 accident reports involving phantom braking or unintended acceleration" as well as complaints about Tesla Autopilot. Dutch authorities responded by saying they were investigating the company for possible data privacy violations. In February 2025, a German court declared Tesla Autopilot defective for normal use due to phantom braking issues. In February 2025, a group of Australian buyers sued Tesla with a class action over multiple issues like battery range, driving assistance, and phantom braking. Tesla has received thousands of complaints from owners that the driving ranges of their vehicles did not meet the ranges advertised by Tesla or the projections of in-dash range meters. When service centers were overwhelmed with appointments to take care of these issues, Tesla established a diversion team to cancel as many appointments as possible. Customers were told that remote diagnostics had determined there was no problem, and their appointments were canceled. The company has been fined by South Korean regulators for its exaggerated range estimates. Vehicle sales In 2024, Tesla ranked as the world's best-selling battery electric passenger car manufacturer, with a market share of 17.6%. Tesla reported 2023 vehicle deliveries of 1.8 million units, up 38% from 2022. In March 2024, Tesla produced its six millionth car. In Q4 2023, Tesla's competitor BYD, a chinese EV company, took over the top spot for EVs shipped, but Tesla regained the title in Q1 2024. On January 2, 2026, BYD became the bestselling electric vehicle maker across the globe and surpassed Tesla as the largest EV maker. Tesla sells the most vehicles in the US (674,000+ in 2023) and has received $11.4 billion in regulatory credits from federal and state governments. The federal government previously provided a $7500 rebate to customers. Tesla received around $426 million from the Chinese government for cars manufactured at its Shanghai facility. Germany was Tesla's third-largest market in 2023, selling 63,682 units. Germany ended its EV subsidy program in December 2023. Under the program, a €6,750 discount was provided with Tesla paying €2,250. Tesla announced it would cover the entire discount going forward. In 2023, over 63,000 Teslas were sold in France with customers receiving up to €7,000 via the bonus écologique. The government decreased the budget for EV aid from €1.5 billion to €700 million in 2024. Canada was in Tesla's top five markets in 2023 with over 52,000 vehicles sold. In 2025, Tesla was accused of having "a run on the bank" when it sold a historic 8,600 vehicles in 72 hours before Canada's EV rebate program's funds were depleted. Tesla claimed 4000 vehicles alone were sold over one weekend in Quebec City. The Government of Canada announced on March 25, 2025, that it had suspended the rebates and was investigating. The government also declared Tesla would be ineligible for any future rebates as long as the US tariffs on Canadian products continued. Musk has stated he is against government subsidies but will take them if they are available. Sales have been negatively impacted by Musk's actions during the second Trump presidency. Tesla sales have decreased worldwide (the most in countries like France, Germany, the UK, Sweden, Norway, and the Netherlands) with his vocal support for far-right parties such as Reform UK and AfD in Germany along with his Nazi salute controversy leading to boycotts of his products and Tesla vehicles being nicknamed Swasticars. German sales fell 76% in February 2025 compared to February 2024. Tesla's shares dropped over 9 percent after its sales in the EU and UK declined by nearly half in January 2025, bringing its valuation below $1 trillion for the first time since November 2024. While European electric car sales surged, Tesla struggled against rising competition, particularly from Chinese automakers. In May 2025, it was reported that the company's sales in Europe declined every month since the start of the year, including in April where sales dropped 49 percent to 7,261 from 14,228 in April 2024. As of May 2025, the company has a 0.7 percent market share in Europe, down from 1.3 percent a year ago. Tesla deliveries vary significantly by month due to regional issues such as availability of car carriers and registration. On March 9, 2020, the company produced its 1 millionth electric car, becoming the first auto manufacturer to achieve such a milestone. In the third quarter of 2021, Tesla sold its 2 millionth electric car, becoming the first auto manufacturer to achieve such a milestone. In the first quarter of 2023, the Model Y became the world's best-selling car, surpassing the Toyota Corolla. Finances For the fiscal (and calendar) year 2021, Tesla reported a net income of $5.52 billion. The annual revenue was $53.8 billion, an increase of 71% over the previous fiscal year. Of the revenue number in 2021, $314 million came from selling regulatory credits to other automakers to meet government pollution standards. That number has been a smaller percentage of revenue for multiple quarters. Tesla ended 2021 with $17.6 billion of cash on hand, down $1.8 billion from the end of 2020.: 31 In February 2021, a 10-K filing revealed that Tesla had invested some $1.5 billion in the cryptocurrency bitcoin, and the company indicated it would soon accept bitcoin as a form of payment. Critics then pointed out how investing in cryptocurrency can run counter to Tesla's environmental goals. Tesla made more profit from the 2021 investment than the profit from selling cars in 2020, due to the Bitcoin price increase after the investment was announced. The quarter ending June 2021 was the first time Tesla made a profit independent of Bitcoin and regulatory credits. Between 2015 and 2024, a third of Tesla's profits came from government climate credits. The key trends for Tesla are (as at the financial year ending December 31): Corporate affairs Tesla has received criticism that its board lacks enough independent directors. In an April 2017 public letter, a group of influential Tesla investors, including the California State Teachers' Retirement System, asked Tesla to add two new independent directors to its board "who do not have any ties" with Musk, writing that "five of six current non-executive directors have professional or personal ties to Mr. Musk that could put at risk their ability to exercise independent judgement." Tesla's directors at the time included Brad Buss, who served as chief financial officer at SolarCity; Steve Jurvetson, a venture capitalist who also sits on the board of SpaceX; Elon Musk's brother, Kimbal; and Ira Ehrenpreis and Antonio Gracias, both of whom also invested in SpaceX. The letter called for a more independent board that could put a check on groupthink. At first Musk responded on Twitter, writing that the investors "should buy Ford stock" because "their governance is amazing." Two days later, he promised he would add two independent board members; Kathleen Wilson-Thompson and Larry Ellison were added at the end of 2018. Ellison stepped down in August 2022. Former Tesla CTO J. B. Straubel, who left the company in 2019, was elected to the board in 2023. Another criticism of the board composition is that most of the independent directors lack automotive industry experience. The exception is Robyn Denholm who served in finance and corporate reporting roles at Toyota Australia from 1989 to 1996. Other previous board members include businessman Steve Westly; Daimler executive Herbert Kohler; CEO and Chairman of Johnson Publishing Company Linda Johnson Rice; and United Nations Special Envoy on Innovative Finance and Sustainable Investments Hiromichi Mizuno. As of May 2023[update], the board members are: The 10 largest shareholders of Tesla in March 2024 were: See also Notes References Sources Further reading External links 30°13′N 97°37′W / 30.22°N 97.62°W / 30.22; -97.62 |
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[SOURCE: https://dev.to/privacy] | [TOKENS: 5186] |
DEV Community Privacy Policy Last Updated: September 01, 2023 This Privacy Policy is designed to help you understand how DEV Community Inc. ("DEV," "we," or "us") collects, use, and discloses your personal information. What's With the Defined Terms? You'll notice that some words appear in quotes in this Privacy Policy. They're called "defined terms," and we use them so that we don't have to repeat the same language again and again. They mean the same thing in every instance, to help us make sure that this Privacy Policy is consistent. We've included the defined terms throughout because we want it to be easy for you to read them in context. 1. WHAT DOES THIS PRIVACY POLICY APPLY TO? 2. PERSONAL INFORMATION WE COLLECT 3. HOW WE USE YOUR INFORMATION 4. HOW WE DISCLOSE YOUR INFORMATION 5. YOUR PRIVACY CHOICES AND RIGHTS 6. INTERNATIONAL DATA TRANSFERS 7. RETENTION OF PERSONAL INFORMATION 8. SUPPLEMENTAL DISCLOSURES FOR CALIFORNIA RESIDENTS 9. SUPPLEMENTAL NOTICE FOR NEVADA RESIDENTS 10. CHILDREN'S INFORMATION 11. OTHER PROVISIONS 12. CONTACT US 1. WHAT DOES THIS PRIVACY POLICY APPLY TO? This Privacy Policy applies to personal information processed by us, including on our websites, mobile applications, and other online or offline offerings — basically anything we do. To make this Privacy Policy easier to read, our websites, mobile applications, and other offerings are all collectively called the "Services." Beyond this Privacy Policy, your use of the Services is subject to our DEV Community Terms and our Forem Terms. The Services include both our own community forum at https://www.dev.to (the "DEV Community") and the open source tool we provide called "Forem," available at https://www.forem.com which allows our customers to create and operate their own online forums. We collect personal information from two categories of people: (1) our customers, who use Forem and our hosting services to run and host their own forums (we'll call them "Forem Operators"), and (2) the people who interact with DEV-hosted forums, including forums provided by Forem Operators utilizing Forem and separately our own DEV Community (we'll call them "Users"). An Important Note for Users Since we provide hosting services for Forem Operators, technically we also process your information on their behalf. That processing is governed by the contracts that we have in place with each Forem Operator, not this Privacy Policy. In other words, when you share your data on a DEV-hosted forum operated by a Forem Operator, we at DEV are basically just the "pipes" — we process the data on behalf of the Forem Operator, but don't do anything with it ourselves beyond what we're required to do under our contract (and by law). So, if you post your information on a DEV-powered forum provided by a Forem Operator, that Forem Operator's privacy policy applies, and any questions or requests relating to your data on that service should be directed to that Forem Operator, not us. Likewise, if you use our mobile application, you may also interact with forums that use DEV's open-source tools but do all their hosting and data collection themselves. For those forums, we at DEV have no access to your data, so be sure to read the privacy policy of any third-party hosted forum before posting. 2. PERSONAL INFORMATION WE COLLECT The categories of personal information we collect depend on whether you're a User or Forem Operator, how you interact with us, our Services, and the requirements of applicable law. Breaking it down, we collect three types of information: (1) information that you provide to us directly, (2) information we obtain automatically when you use our Services, and (3) information we get about you from other sources (such as third-party services and organizations). More details are below. We may collect the following personal information that you provide to us. Account Creation (for Forem Operators): We'll require your name and email address to get started, as well as some details about the Forem you want to run, such as: whether you're running the Forem on your own behalf or as part of an organization, and details about the community you want to support (how big is it, what topics does it cover, where do members currently communicate, how/if the community earns money, whether the community is open, invite-only or paid, any existing social media accounts, etc.) You'll need to tell us a bit about your personal coding background, and you'll have the option to provide your DEV username as well, if you are a member of the DEV.to community. Account Creation (for Users): We collect name and email address from users that create an account on DEV Community. For other forums created by Forem Operators using Forem, the Forem Operator determines what information is required for User account creation for their respective forums. Interactive Features (for Users). Like any other social network, both we and other Users of our Services may collect personal information that you submit or make available through our interactive features (e.g., messaging and chat features, commenting functionalities, forums, blogs, posts, and other social media pages). While we do have private messages that are only between you and the person you're messaging (as well as us and the Forem Operator, as applicable), any information you provide using the public sharing features of the Services, such as the information you post to your public profile or the topics you follow is public, including to recruiters and prospective employers, and is not subject to any of the privacy protections we mention in this Privacy Policy except where legally required. Please exercise caution before revealing any information that may identify you in the real world to others. Purchases. 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If you decide to participate, you may be asked to provide certain information, which may include personal information (for example, your home address). Sweepstakes or Contests. We may collect personal information you provide for any sweepstakes or contests that we offer. In some jurisdictions, we are required to publicly share information of sweepstakes and contest winners. Conferences, Trade Shows, and Other Events. We may collect personal information from individuals when we attend conferences, trade shows, and other events. Business Development and Strategic Partnerships. We may collect personal information from individuals and third parties to assess and pursue potential business opportunities. Job Applications. We may post job openings and opportunities on our Services. If you reply to one of these postings by submitting your application, CV and/or cover letter to us, we will collect and use your information to assess your qualifications. We may collect personal information automatically when you use our Services: Automatic Data Collection. We may collect certain information automatically when you use our Services, such as your Internet protocol (IP) address, user settings, MAC address, cookie identifiers, mobile carrier, mobile advertising and other unique identifiers, browser or device information, location information (including approximate location derived from IP address), and Internet service provider. We may also automatically collect information regarding your use of our Services, such as pages that you visit before, during and after using our Services, information about the links you click, the types of content you interact with, the frequency and duration of your activities, and other information about how you use our Services. In addition, we may collect information that other people provide about you when they use our Services, including information about you when they tag you in their posts. Cookies, Pixel Tags/Web Beacons, and Other Technologies. We, as well as third parties that provide content, advertising, or other functionality on our Services, may use cookies, pixel tags, local storage, and other technologies ("Technologies") to automatically collect information through your use of our Services. Cookies. Cookies are small text files placed in device browsers that store preferences and facilitate and enhance your experience. Pixel Tags/Web Beacons. A pixel tag (also known as a web beacon) is a piece of code embedded in our Services that collects information about engagement on our Services. The use of a pixel tag allows us to record, for example, that a user has visited a particular web page or clicked on a particular advertisement. We may also include web beacons in e-mails to understand whether messages have been opened, acted on, or forwarded. Our uses of these Technologies fall into the following general categories: Operationally Necessary. 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To learn more about how to opt-out of Google Analytics' use of your information, please click here. Social Media Platforms. Our Services may contain social media buttons such as Twitter, Facebook, GitHub, Instagram, and Twitch (that might include widgets such as the "share this" button or other interactive mini programs). These features may collect your IP address, which page you are visiting on our Services, and may set a cookie to enable the feature to function properly. Your interactions with these platforms are governed by the privacy policy of the company providing it. See the "Your Privacy Choices and Rights" section below to understand your choices regarding these Technologies. We may obtain information about you from other sources, including through third-party services and organizations. For example, if you access our Services through a third-party application, such as an app store, a third-party login service (e.g., through Twitter, Apple, or GitHub), or a social networking site, we may collect whatever information about you from that third-party application that you have made available via your privacy settings. 3. HOW WE USE YOUR INFORMATION We use your information for a variety of business purposes, including to provide our Services, for administrative purposes, and to market our products and Services, as described below. We use your information to fulfill our contract with you and provide you with our Services, such as: Managing your information and accounts; Providing access to certain areas, functionalities, and features of our Services; Answering requests for customer or technical support; Communicating with you about your account, activities on our Services, and policy changes; Processing your financial information and other payment methods for products or Services purchased; Processing applications if you apply for a job we post on our Services; and Allowing you to register for events. We use your information for various administrative purposes, such as: Pursuing our legitimate interests such as direct marketing, research and development (including marketing research), network and information security, and fraud prevention; Detecting security incidents, protecting against malicious, deceptive, fraudulent or illegal activity, and prosecuting those responsible for that activity; Measuring interest and engagement in our Services, including for usage-based billing purposes; Short-term, transient use, such as contextual customization of ads; Improving, optimizing, upgrading, or enhancing our Services; Developing new products and Services; Ensuring internal quality control and safety; Authenticating and verifying individual identities, including requests to exercise your rights under this policy; Debugging to identify and repair errors with our Services; Auditing relating to interactions, transactions and other compliance activities; Enforcing our agreements and policies; and Complying with our legal obligations. We may use your personal information to tailor and provide you with content and advertisements for our Services, such as via email. If you have any questions about our marketing practices, you may contact us at any time as set forth in the "Contact Us" section below. We also use your information for other purposes as requested by you or as permitted by applicable law. Consent. We may use personal information for other purposes that are clearly disclosed to you at the time you provide personal information or with your consent. Automated Decision Making. We may engage in automated decision making, including profiling, such as to suggest topics or other Users for you to follow. DEV's processing of your personal information will not result in a decision based solely on automated processing that significantly affects you unless such a decision is necessary as part of a contract we have with you, we have your consent, or we are permitted by law to engage in such automated decision making. If you have questions about our automated decision making, you may contact us as set forth in the "Contact Us" section below. De-identified and Aggregated Information. We may use personal information and other information about you to create de-identified and/or aggregated information, such as de-identified demographic information, information about the device from which you access our Services, or other analyses we create. For example, we may collect system-wide information to ensure availability of the platform, or measure aggregate data trends to analyze and optimize our Services. Share Content with Friends or Colleagues. Our Services may offer various tools and functionalities. For example, we may allow you to provide information about your friends through our referral services. Our referral services may allow you to forward or share certain content with a friend or colleague, such as an email inviting your friend to use our Services. Please only share with us contact information of people with whom you have a relationship (e.g., relative, friend neighbor, or co-worker). 4. HOW WE DISCLOSE YOUR INFORMATION We disclose your information to third parties for a variety of business purposes, including to provide our Services, to protect us or others, or in the event of a major business transaction such as a merger, sale, or asset transfer, as described below. The categories of third parties with whom we may share your information are described below. Service Providers. We may share your personal information with our third-party service providers who use that information to help us provide our Services. This includes service providers that provide us with IT support, hosting, payment processing, customer service, and related services. For example, our Shop site is run by Shopify, who handle your shipping details on our behalf. Business Partners. We may share your personal information with business partners to provide you with a product or service you have requested. We may also share your personal information to business partners with whom we jointly offer products or services. Other Users. As described above in the "Personal Information We Collect" section of this Privacy Policy, our Service allows Users to share their profiles, and any posts, chats, etc. with other Users and with the general public, including to those who do not use our Services. APIs/SDKs. We may use third-party Application Program Interfaces ("APIs") and Software Development Kits ("SDKs") as part of the functionality of our Services. For more information about our use of APIs and SDKs, please contact us as set forth in the "Contact Us" section below. We may access, preserve, and disclose any information we store associated with you to external parties if we, in good faith, believe doing so is required or appropriate to: comply with law enforcement or national security requests and legal process, such as a court order or subpoena; protect your, our, or others' rights, property, or safety; enforce our policies or contracts; collect amounts owed to us; or assist with an investigation or prosecution of suspected or actual illegal activity. If we are involved in a merger, acquisition, financing due diligence, reorganization, bankruptcy, receivership, purchase or sale of assets, or transition of service to another provider, your information may be sold or transferred as part of such a transaction, as permitted by law and/or contract. 5. YOUR PRIVACY CHOICES AND RIGHTS Your Privacy Choices. The privacy choices you may have about your personal information are determined by applicable law and are described below. Email Communications. If you receive an unwanted email from us, you can use the unsubscribe link found at the bottom of the email to opt out of receiving future emails. Note that you will continue to receive transaction-related emails regarding products or Services you have requested. We may also send you certain non-promotional communications regarding us and our Services, and you will not be able to opt out of those communications (e.g., communications regarding our Services or updates to our Terms or this Privacy Policy). Mobile Devices. We may send you push notifications through our mobile application. You may opt out from receiving these push notifications by changing the settings on your mobile device. "Do Not Track." Do Not Track ("DNT") is a privacy preference that users can set in certain web browsers. Please note that we do not respond to or honor DNT signals or similar mechanisms transmitted by web browsers. Cookies and Interest-Based Advertising. You may stop or restrict the placement of Technologies on your device or remove them by adjusting your preferences as your browser or device permits. However, if you adjust your preferences, our Services may not work properly. Please note that cookie-based opt-outs are not effective on mobile applications. Please note you must separately opt out in each browser and on each device. Your Privacy Rights. In accordance with applicable law, you may have the right to: Access Personal Information about you, including: (i) confirming whether we are processing your personal information; (ii) obtaining access to or a copy of your personal information; Request Correction of your personal information where it is inaccurate, incomplete or outdated. In some cases, we may provide self-service tools that enable you to update your personal information; Request Deletion, Anonymization or Blocking of your personal information when processing is based on your consent or when processing is unnecessary, excessive or noncompliant; Request Restriction of or Object to our processing of your personal information when processing is noncompliant; Withdraw Your Consent to our processing of your personal information. If you refrain from providing personal information or withdraw your consent to processing, some features of our Service may not be available; Request Data Portability and Receive an Electronic Copy of Personal Information that You Have Provided to Us; Be Informed about third parties with which your personal information has been shared; and Request the Review of Decisions Taken Exclusively Based on Automated Processing if such decisions could affect your data subject rights. If you would like to exercise any of these rights, please contact us as set forth in "Contact Us" below. We will process such requests in accordance with applicable laws. 6. INTERNATIONAL DATA TRANSFERS All information processed by us may be transferred, processed, and stored anywhere in the world, including, but not limited to, the United States or other countries, which may have data protection laws that are different from the laws where you live. We always strive to safeguard your information consistent with the requirements of applicable laws. 7. RETENTION OF PERSONAL INFORMATION We store the personal information we collect as described in this Privacy Policy for as long as you use our Services or as necessary: to fulfill the purpose or purposes for which it was collected, to provide our Services, to resolve disputes, to establish legal defenses, to conduct audits, to pursue legitimate business purposes, to enforce our agreements, and to comply with applicable laws. 8. SUPPLEMENTAL DISCLOSURES FOR CALIFORNIA RESIDENTS Refer-a-Friend and Similar Incentive Programs. As described above in the How We Use Your Personal Information section ("Share Content with Friends or Colleagues" subsection), we may offer referral programs or other incentivized data collection programs. For example, we may offer incentives to you such as discounts or promotional items or credit in connection with these programs, wherein you provide your personal information in exchange for a reward, or provide personal information regarding your friends or colleagues (such as their email address) and receive rewards when they sign up to use our Services. (The referred party may also receive rewards for signing up via your referral.) These programs are entirely voluntary and allow us to grow our business and provide additional benefits to you. The value of your data to us depends on how you ultimately use our Services, whereas the value of the referred party's data to us depends on whether the referred party ultimately becomes a User or Forem Operator and uses our Services. Said value will be reflected in the incentive offered in connection with each program. Accessibility. This Privacy Policy uses industry-standard technologies and was developed in line with the World Wide Web Consortium's Web Content Accessibility Guidelines, version 2.1*.* If you wish to print this policy, please do so from your web browser or by saving the page as a PDF. California Shine the Light. The California "Shine the Light" law permits users who are California residents to request and obtain from us once a year, free of charge, a list of the third parties to whom we have disclosed their personal information (if any) for their direct marketing purposes in the prior calendar year, as well as the type of personal information disclosed to those parties. Right for Minors to Remove Posted Content. Where required by law, California residents under the age of 18 may request to have their posted content or information removed from the publicly-viewable portions of the Services by contacting us directly as set forth in the "Contact Us" section below or by logging into their account and removing the content or information using our self-service tools. 9. SUPPLEMENTAL NOTICE FOR NEVADA RESIDENTS If you are a resident of Nevada, you have the right to opt-out of the sale of certain Personal Information to third parties who intend to license or sell that Personal Information. You can exercise this right by contacting us as set forth in the "Contact Us\" section below with the subject line "Nevada Do Not Sell Request" and providing us with your name and the email address associated with your account. Please note that we do not currently sell your Personal Information as sales are defined in Nevada Revised Statutes Chapter 603A. If you have any questions, please contact us as set forth below. 10. CHILDREN'S INFORMATION The Services are not directed to children under 13 (or other age as required by local law), and we do not knowingly collect personal information from children. If you are a parent or guardian and believe your child has uploaded personal information to our site without your consent, you may contact us as described in the "Contact Us" section below. If we become aware that a child has provided us with personal information in violation of applicable law, we will delete any personal information we have collected, unless we have a legal obligation to keep it, and terminate the child's account if applicable. 11. OTHER PROVISIONS Third-Party Websites or Applications. The Services may contain links to other websites or applications, and other websites or applications may reference or link to our Services. These third-party services are not controlled by us. We encourage our users to read the privacy policies of each website and application with which they interact. We do not endorse, screen or approve, and are not responsible for, the privacy practices or content of such other websites or applications. Providing personal information to third-party websites or applications is at your own risk. Changes to Our Privacy Policy. We may revise this Privacy Policy from time to time in our sole discretion. If there are any material changes to this Privacy Policy, we will notify you as required by applicable law. You understand and agree that you will be deemed to have accepted the updated Privacy Policy if you continue to use our Services after the new Privacy Policy takes effect. 12. CONTACT US If you have any questions about our privacy practices or this Privacy Policy, or to exercise your rights as detailed in this Privacy Policy, please contact us at: support@dev.to. 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails. DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. |
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[SOURCE: https://dev.to] | [TOKENS: 467] |
DEV Community DEV Community is a community of 3,748,043 amazing developers We're a place where coders share, stay up-to-date and grow their careers. Other DEV Community A space to discuss and keep up software development and manage your software career Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails. DEV Community © 2016 - 2026. Posts Announcing the First DEV Education Track: "Build Apps with Google AI Studio" Happy Learning! A New Chapter: DEV is Joining Forces with Major League Hacking (MLH) What was your win this week? Congrats to the "New Year, New You" Portfolio Challenge Winners and Runner-Ups! Why did you become a Developer? What does MLH stand for? The Meter Was Always Running Suffering from BUGS: How I Almost Deleted My Entire Project What Do You Want to Know About Antigravity? 98 Bytes That Prove Your Document Existed I'm a dyslexic developer. Here is why I built a task tracker to escape the "Wall of Text" My First React Project (Without Tutorials) How a Silent API Update Broke Our Billing (And How to Prevent It) Optimizing OCR Performance on Mobile: From 5 Seconds to Under 1 Second If You See These Red Flags in an IT Interview — Run (Real Stories) localhost to deploy..project that changed my thinking.... Your AI Agents Need an Org Chart — But Not the Kind You Think AI Coding Tools and the Runtime Context Gap 🌱 Bloom Update — February 19, 2026 February 19 February 17 Click the link above or view directly from the DEV Homepage! 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails. DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. |
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[SOURCE: https://dev.to/terms] | [TOKENS: 1757] |
DEV Community Web Site Terms and Conditions of Use By accessing this web site, you are agreeing to be bound by these web site Terms and Conditions of Use, our Privacy Policy, all applicable laws and regulations, and agree that you are responsible for compliance with any applicable local laws. If you do not agree with any of these terms, you are prohibited from using or accessing this site. The materials contained in this web site are protected by applicable copyright and trade mark law. In no event shall DEV Community or its suppliers be liable for any damages (including, without limitation, damages for loss of data or profit, or due to business interruption,) arising out of the use or inability to use the materials on DEV Community's Internet site, even if DEV Community or an authorized representative has been notified orally or in writing of the possibility of such damage. Because some jurisdictions do not allow limitations on implied warranties, or limitations of liability for consequential or incidental damages, these limitations may not apply to you. The materials appearing on DEV Community's web site could include technical, typographical, or photographic errors. DEV Community does not warrant that any of the materials on its web site are accurate, complete, or current. DEV Community may make changes to the materials contained on its web site at any time without notice. DEV Community does not, however, make any commitment to update the materials. DEV Community has not reviewed all of the sites linked to its Internet web site and is not responsible for the contents of any such linked site. The inclusion of any link does not imply endorsement by DEV Community of the site. Use of any such linked web site is at the user's own risk. Users agree and certify that they have rights to share all content that they post on DEV Community — including, but not limited to, information posted in articles, discussions, and comments. This rule applies to prose, code snippets, collections of links, etc. Regardless of citation, users may not post copy and pasted content that does not belong to them. DEV Community does not tolerate plagiarism of any kind, including mosaic or patchwork plagiarism. Users assume all risk for the content they post, including someone else's reliance on its accuracy, claims relating to intellectual property, or other legal rights. If you believe that a user has plagiarized content, misrepresented their identity, misappropriated work, or otherwise run afoul of DMCA regulations, please email support@dev.to. DEV Community may remove any content users post for any reason. DEV Community may revise these terms of use for its web site at any time without notice. By using this web site you are agreeing to be bound by the then current version of these Terms and Conditions of Use. All uses of the DEV Community logo, DEV Community badges, brand slogans, iconography, and the like, may only be used with express permission from DEV Community. DEV Community reserves all rights, even if certain assets are included in DEV Community open source projects. Please contact support@dev.to with any questions or to request permission. DEV Community has the right to maintain a list of reserved names which will not be made publicly available. These reserved names may be set aside for purposes of proactive trademark protection, avoiding user confusion, security measures, or any other reason (or no reason). Additionally, DEV Community reserves the right to change any already-claimed name at its sole discretion. In such cases, DEV Community will make reasonable effort to find a suitable alternative and assist with any transition-related concerns. The following policy applies to comments, articles, and all other works shared on the DEV Community platform: Users must make a good-faith effort to share content that is on-topic, of high-quality, and is not designed primarily for the purposes of promotion or creating backlinks. Posts must contain substantial content — they may not merely reference an external link that contains the full post. If a post contains affiliate links, that fact must be clearly disclosed. For instance, with language such as: “This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article.” DEV Community reserves the right to remove any content that it deems to be in violation of this policy at its sole discretion. Additionally, DEV Community reserves the right to restrict any user’s ability to participate on the platform at its sole discretion. Fees for Paid Services.Fees for Paid Services. Some of our Services may be offered for a fee (collectively, “Paid Services”). This section applies to any purchases of Paid Services. By using a Paid Service, you agree to pay the specified fees. Depending on the Paid Service, there may be different kinds of fees, for instance some that are one-time, recurring, and/or based on an advertising campaign budget that you set. For recurring fees (AKA Subscriptions), your subscription begins on your purchase date, and we’ll bill or charge you in the automatically-renewing interval (such as monthly, annually) you select, on a pre-pay basis until you cancel, which you can do at any time by contacting plusplus@dev.to. Payment.You must provide accurate and up-to-date payment information. By providing your payment information, you authorize us to store it until you request deletion. If your payment fails, we suspect fraud, or Paid Services are otherwise not paid for or paid for on time (for example, if you contact your bank or credit card company to decline or reverse the charge of fees for Paid Services), we may immediately cancel or revoke your access to Paid Services without notice to you. You authorize us to charge any updated payment information provided by your bank or payment service provider (e.g., new expiration date) or other payment methods provided if we can’t charge your primary payment method. Automatic Renewal. By enrolling in a subscription, you authorize us to automatically charge the then-applicable fees for each subsequent subscription period until the subscription is canceled. If you received a discount, used a coupon code, or subscribed during a free trial or promotion, your subscription will automatically renew for the full price of the subscription at the end of the discount period. This means that unless you cancel a subscription, it’ll automatically renew and we’ll charge your payment method(s). The date for the automatic renewal is based on the date of the original purchase and cannot be changed. You can view your renewal date(s), cancel, or manage subscriptions by contacting plusplus@dev.to. Fees and Changes. We may change our fees at any time in accordance with these Terms and requirements under applicable law. This means that we may change our fees going forward or remove or update features or functionality that were previously included in the fees. If you don’t agree with the changes, you must cancel your Paid Service. Refunds.There are no refunds and all payments are final. European Users: You have the right to withdraw from the transaction within fourteen (14) days from the date of the purchase without giving any reason as long as your purchase was not of downloadable content or of a customized nature, and (i) the service has not been fully performed, or (ii) subject to other limitations as permitted by law. If you cancel this contract, we will reimburse you all payments we have received from you, without undue delay and no later than within fourteen days from the day on which we received the notification of your cancellation of this contract. For this repayment, we will use the same means of payment that you used for the original transaction, unless expressly agreed otherwise with you; you will not be charged for this repayment. You may exercise your right to withdrawal by sending a clear, email request to plusplus@dev.to with the following information: List of services you wish to withdraw from List the date that you purchased the goods or services. If this is a recurring subscription, please list the most recent renewal date List your full legal name and the email associated with your account List the address in which you legally reside Today's Date Any claim relating to DEV Community's web site shall be governed by the laws of the State of New York without regard to its conflict of law provisions. General Terms and Conditions applicable to Use of a Web Site. 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails. DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. |
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[SOURCE: https://en.wikipedia.org/wiki/Uniform_resource_identifier] | [TOKENS: 2817] |
Contents Uniform Resource Identifier A Uniform Resource Identifier (URI), formerly Universal Resource Identifier, is a unique sequence of characters that identifies an abstract or physical resource,: 1 such as resources on a webpage, email address, phone number,: 7 books, real-world objects such as people and places, and concepts.: 5 URIs which provide a means of locating and retrieving information resources on a network (either on the Internet or on another private network, such as a computer file system or an Intranet) are Uniform Resource Locators (URLs). Therefore, URLs are a subset of URIs, i.e. every URL is a URI (and not necessarily the other way around).: 7 Other URIs provide only a unique name, without a means of locating or retrieving the resource or information about it; these are Uniform Resource Names (URNs). The web technologies that use URIs are not limited to web browsers. History URIs and URLs have a shared history. In 1990, Tim Berners-Lee's proposals for hypertext implicitly introduced the idea of a URL as a short string representing a resource that is the target of a hyperlink. At the time, people referred to it as a "hypertext name" or "document name". Over the next three and a half years, as the World Wide Web's core technologies of HTML, HTTP, and web browsers developed, a need to distinguish a string that provided an address for a resource from a string that merely named a resource emerged. Although not yet formally defined, the term Uniform Resource Locator came to represent the former, and the more contentious Uniform Resource Name came to represent the latter. In July 1992 Berners-Lee's report on the Internet Engineering Task Force (IETF) "UDI (Universal Document Identifiers) BOF" mentions URLs (as Uniform Resource Locators), URNs (originally, as Unique Resource Numbers), and the need to charter a new working group. In November 1992 the IETF "URI Working Group" met for the first time. During the debate over defining URLs and URNs, it became evident that the concepts embodied by the two terms were merely aspects of the fundamental, overarching, notion of resource identification. In June 1994, the IETF published RFC 1630, Berners-Lee's first Request for Comments that acknowledged the existence of URLs and URNs. Most importantly, it defined a formal syntax for Universal Resource Identifiers (i.e. URL-like strings whose precise syntaxes and semantics depended on their schemes). It also attempted to summarize the syntaxes of URL schemes in use at the time. It acknowledged – but did not standardize—the existence of relative URLs and fragment identifiers. In December 1994, RFC 1738 formally defined relative and absolute URLs, refined the general URL syntax, defined how to resolve relative URLs to absolute form, and better enumerated the URL schemes then in use. The agreed definition and syntax of URNs had to wait until the publication of IETF RFC 2141 in May 1997. The publication of IETF RFC 2396 in August 1998 saw the URI syntax become a separate specification and most of the parts of RFCs 1630 and 1738 relating to URIs and URLs in general were revised and expanded by the IETF. The new RFC changed the meaning of U in URI from "Universal" to "Uniform." In December 1999, RFC 2732 provided a minor update to RFC 2396, allowing URIs to accommodate IPv6 addresses. A number of shortcomings discovered in the two specifications led to a community effort, coordinated by RFC 2396 co-author Roy Fielding, that culminated in the publication of IETF RFC 3986 in January 2005. While obsoleting the prior standard, it did not render the details of existing URL schemes obsolete; RFC 1738 continues to govern such schemes except where otherwise superseded. IETF RFC 2616 for example, refines the http scheme. Simultaneously, the IETF published the content of RFC 3986 as the full standard STD 66, reflecting the establishment of the URI generic syntax as an official Internet protocol. In 2001, the World Wide Web Consortium's (W3C) Technical Architecture Group (TAG) published a guide to best practices and canonical URIs for publishing multiple versions of a given resource. For example, content might differ by language or by size to adjust for capacity or settings of the device used to access that content. In August 2002, IETF RFC 3305 pointed out that the term "URL" had, despite widespread public use, faded into near obsolescence, and serves only as a reminder that some URIs act as addresses by having schemes implying network accessibility, regardless of any such actual use. As URI-based standards such as Resource Description Framework make evident, resource identification need not suggest the retrieval of resource representations over the Internet, nor need they imply network-based resources at all. The Semantic Web uses the HTTP URI scheme to identify both documents and concepts for practical uses, a distinction which has caused confusion as to how to distinguish the two. The TAG published an e-mail in 2005 with a solution of the problem, which became known as the httpRange-14 resolution. The W3C subsequently published an Interest Group Note titled "Cool URIs for the Semantic Web", which explained the use of content negotiation and the HTTP 303 response code for redirections in more detail. Design A Uniform Resource Name (URN) is a URI that identifies a resource by name in a particular namespace. A URN may be used to talk about a resource without implying its location or how to access it. For example, in the International Standard Book Number (ISBN) system, ISBN 0-486-27557-4 identifies a specific edition of the William Shakespeare play Romeo and Juliet. The URN for that edition would be urn:isbn:0-486-27557-4. However, it gives no information as to where to find a copy of that book. A Uniform Resource Locator (URL) is a URI that specifies the means of acting upon or obtaining the representation of a resource, i.e. specifying both its primary access mechanism and network location. For example, the URL http://example.org/wiki/Main_Page refers to a resource identified as /wiki/Main_Page, whose representation is obtainable via the Hypertext Transfer Protocol (http:) from a network host whose domain name is example.org. (In this case, HTTP usually implies it to be in the form of HTML and related code. In practice, that is not necessarily the case, as HTTP allows specifying arbitrary formats in its header.) A URN is analogous to a person's name, while a URL is analogous to their street address. In other words, a URN identifies an item and a URL provides a method for finding it. Technical publications, especially standards produced by the IETF and by the W3C, normally reflect a view outlined in a W3C Recommendation of 30 July 2001, which acknowledges the precedence of the term URI rather than endorsing any formal subdivision into URL and URN. URL is a useful but informal concept: a URL is a type of URI that identifies a resource via a representation of its primary access mechanism (e.g., its network "location"), rather than by some other attributes it may have. As such, a URL is simply a URI that happens to point to a resource over a network.[a] However, in non-technical contexts and in software for the World Wide Web, the term "URL" remains widely used. Additionally, the term "web address" (which has no formal definition) often occurs in non-technical publications as a synonym for a URI that uses the http or https schemes. Such assumptions can lead to confusion, for example, in the case of XML namespaces that have a visual similarity to resolvable URIs. Specifications produced by the WHATWG prefer URL over URI, and so newer HTML5 APIs use URL over URI. Standardize on the term URL. URI and IRI [Internationalized Resource Identifier] are just confusing. In practice a single algorithm is used for both so keeping them distinct is not helping anyone. URL also easily wins the search result popularity contest. While most URI schemes were originally designed to be used with a particular protocol, and often have the same name, they are semantically different from protocols. For example, the scheme http is generally used for interacting with web resources using HTTP, but the scheme file has no protocol. A URI has a scheme that refers to a specification for assigning identifiers within that scheme. As such, the URI syntax is a federated and extensible naming system wherein each scheme's specification may further restrict the syntax and semantics of identifiers using that scheme. The URI generic syntax is a superset of the syntax of all URI schemes. It was first defined in RFC 2396, published in August 1998, and finalized in RFC 3986, published in January 2005. A URI is composed from an allowed set of ASCII characters consisting of reserved characters (gen-delims: :, /, ?, #, [, ], and @; sub-delims: !, $, &, ', (, ), *, +, ,, ;, and =),: 13–14 unreserved characters (uppercase and lowercase letters, decimal digits, -, ., _, and ~),: 13–14 and the character %.: 12 Syntax components and subcomponents are separated by delimiters from the reserved characters (only from generic reserved characters for components) and define identifying data represented as unreserved characters, reserved characters that do not act as delimiters in the component and subcomponent respectively,: §2 and percent-encodings when the corresponding character is outside the allowed set or is being used as a delimiter of, or within, the component. A percent-encoding of an identifying data octet is a sequence of three characters, consisting of the character % followed by the two hexadecimal digits representing that octet's numeric value.: §2.1 The URI generic syntax consists of five components organized hierarchically in order of decreasing significance from left to right:: §3 A component is undefined if it has an associated delimiter and the delimiter does not appear in the URI; the scheme and path components are always defined.: §5.2.1 A component is empty if it has no characters; the scheme component is always non-empty.: §3 The authority component consists of subcomponents: This is represented in a syntax diagram as: The URI comprises: The scheme- or implementation-specific reserved character + may be used in the scheme, userinfo, host, path, query, and fragment, and the scheme- or implementation-specific reserved characters !, $, &, ', (, ), *, ,, ;, and = may be used in the userinfo, host, path, query, and fragment. Additionally, the generic reserved character : may be used in the userinfo, path, query and fragment, the generic reserved characters @ and / may be used in the path, query and fragment, and the generic reserved character ? may be used in the query and fragment.: §A The following figure displays example URIs and their component parts. DOIs (digital object identifiers) fit within the Handle System and fit within the URI system, as facilitated by appropriate syntax. A URI reference is either a URI or a relative reference when it does not begin with a scheme component followed by a colon (:).: §4.1 A path segment that contains a colon character (e.g., foo:bar) cannot be used as the first path segment of a relative reference if its path component does not begin with a slash (/), as it would be mistaken for a scheme component. Such a path segment must be preceded by a dot path segment (e.g., ./foo:bar).: §4.2 Web document markup languages frequently use URI references to point to other resources, such as external documents or specific portions of the same logical document:: §4.4 Resolving a URI reference against a base URI results in a target URI. This implies that the base URI exists and is an absolute URI (a URI with no fragment component). The base URI can be obtained, in order of precedence, from:: §5.1 Within a representation with a well defined base URI of a relative reference is resolved to its target URI as follows:: §5.4 URL munging is a technique by which a command is appended to a URL, usually at the end, after a "?" token. It is commonly used in WebDAV as a mechanism of adding functionality to HTTP. In a versioning system, for example, to add a "checkout" command to a URL, it is written as http://editing.com/resource/file.php?command=checkout. It has the advantage of both being easy for CGI parsers and also acts as an intermediary between HTTP and underlying resource, in this case. In XML, a namespace is an abstract domain to which a collection of element and attribute names can be assigned. The namespace name is a character string which must adhere to the generic URI syntax. However, the name is generally not considered to be a URI, because the URI specification bases the decision not only on lexical components, but also on their intended use. A namespace name does not necessarily imply any of the semantics of URI schemes; for example, a namespace name beginning with http: may have no connotation to the use of the HTTP. Originally, the namespace name could match the syntax of any non-empty URI reference, but the use of relative URI references was deprecated by the W3C. A separate W3C specification for namespaces in XML 1.1 permits Internationalized Resource Identifier (IRI) references to serve as the basis for namespace names in addition to URI references. See also Notes References Further reading External links |
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[SOURCE: https://en.wikipedia.org/wiki/Wik_and_the_Fable_of_Souls] | [TOKENS: 444] |
Contents Wik and the Fable of Souls Wik and the Fable of Souls, also known in the Xbox 360 version as Wik: The Fable of Souls, is a platform video game developed by Reflexive Entertainment. The main character, Wik uses a combination of jumping and his long, grapple-like tongue to navigate the world. Accompanying Wik on his journey is a mule-like creature named Slotham. On each level the player must capture a set number of grubs and deliver them to Slotham, but getting the grubs to Slotham becomes more and more challenging through each chapter. There are various bugs that try to steal the grubs or directly harm Wik, and on some levels Wik can fall off the platforms into the abyss. Each level includes three gems; a ruby, an emerald, and a diamond, finding all of these throughout the course of the game is required in order to achieve the best ending. The game is divided into 16 level sets of 8 levels each (or, on the Xbox 360 version, over 120 levels total). The game features a challenge mode which involves practicing acrobatics and other tricks used during normal game play. Wik and the Fable of Souls won the Seumas McNally Grand Prize in the downloadable games section at the 2005 Independent Games Festival, and also made an appearance as one of the Xbox Live Arcade games on the Xbox 360. It was made available on Xbox Live Arcade Unplugged Vol. 1. The PC version of the game was made available for Steam in May 2007. In 2010, it was removed from Steam, but can be obtained via Amazon.com. Reception Wik and the Fable of Souls received "generally favorable reviews" on both platforms according to the review aggregation website Metacritic. PC Format gave it a favorable review over two years after the PC version was released. During the 9th Annual Interactive Achievement Awards, Wik and the Fable of Souls was awarded "Downloadable Game of the Year" by the Academy of Interactive Arts & Sciences. References External links This platform game-related article is a stub. You can help Wikipedia by adding missing information. |
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[SOURCE: https://dev.to/t/rails] | [TOKENS: 415] |
DEV Community Ruby on Rails Ruby on Rails is a popular web framework that happens to power dev.to ❤️ Ruby on Rails, or Rails, is a server-side web application framework written in Ruby under the MIT License. It was released in 2005 and powers websites like GitHub, Basecamp, and many others. The framework and community prides itself on developer experience, sensible abstractions and empowering individual developers to accomplish a lot. Posts 🧠 RubyKaigi 2024: A Deep Technical Shift in Ruby’s Standard Library (With Real Examples) What Rails Actually Wants: Tidying Controllers and Views Without Service Object Explosion Record video in Rails with Stimulus Design for Developers: How to Stop Making Ugly Apps Stop Checking admin?: Designing Authorization That Won’t Become Technical Debt (Kaigi on Rails 2025) Evaluating LLM prompts in Rails From Delayed Job to Solid Queue: How a 10-Year Rails App Finally Achieved Linear Scaling How to Generate Open Graph Images Automatically in Ruby on Rails Building a Rails Engine #4 — Modeling Import Data with StoreModel & JSONB How We Run Lighthouse from 18 Regions in Under 2 Minutes TIL: Template Strict Locals (TSL) Range on Rails: How PostgreSQL Multirange Turned Complex Booking Logic into Elegant Simplicity Why Your Next Rails App Doesn't Need Nginx or Apache Why Your Next Rails App Doesn't Need Nginx or Apache Designing Safe Parallelism in Rails 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails. DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. |
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