instruction: Analyze and categorize text about Google AI Updates

output: {"facts": ["Gemini era", "Gemini app update", "Gemini Spark Chrome integration", "Gemini for macOS update", "Crisis resilience AI", "Wildfires satellite fight", "Gemini API Managed Agents update", "Interactions API"], "rationale": "Extracted key points from Google AI news and updates for AI training", "quality": 0.95}

topic: Google AI Updates

source: SchemaForge Autonomous Refinery


instruction: Analyze and categorize text about AI News and Updates

output: {"facts": ["Chinese AI Researchers Are Finding Their Voice on X", "AI Slop Melodramas Are Taking Over X\u2014and Their Creators Are Cashing In", "This AI Assistant Wants to Make Up for Your Boyfriend\u2019s Incompetence", "Anthropic Says Claude Hacked Into 3 Organizations During Cybersecurity Tests", "Everyone Is Freaking Out About OpenAI and Anthropic\u2019s Race for Dominance", "Nvidia\u2019s Open Source Alliance Is Missing Some Key Names: OpenAI and Anthropic", "Chrome Needs Twice-a-Week Patching Thanks to AI Bug Hunting", "The New Friend AI Pendant Can Now Talk Back to You", "Google\u2019s Gemini Can Now Stomp Around as a Humanoid Robot", "OpenAI\u2019s Hacking Debacle Comes Down to Human Error", "LinkedIn Won\u2019t Be Expanding Its Data Centers in the Next Year", "AI Scammers Are Better at Building Trust Than Humans", "I Got a Free Meal From a Private Chef\u2014Who Filmed It All to Train Robots", "It\u2019s Frighteningly Easy to Jailbreak Some Frontier AI Models", "More Typos, Fewer Em Dashes: Writers Are Creating an Anti-AI \u2018Literary Counterculture\u2019", "Boomers Can\u2019t Stop Gifting Their Grandkids AI-Generated Slop Books", "OpenAI\u2019s Rogue AI Agent Hacked More Than Just Hugging Face", "Can the New York Times Save Journalism From Our AI Overlords?", "Silicon Valley\u2019s Next IPO Billionaires Are Coming. Nonprofits Are Ready for Them", "Hugging Face Has a Deepfake Nudes Problem", "Private Claude Chats Exposed in Google and Bing Search Results", "This Is Donald Trump\u2019s AI Brain Trust", "The OpenAI Models That Hacked Hugging Face Were \u2018Active on the Internet\u2019 for Days", "China-US AI Race Escalates, OpenAI Models Break Free, and Why You Should Check Your Car Alarm"], "rationale": "Extracted AI-related news and updates from a given text.", "quality": 0.95}

topic: AI News and Updates


instruction: Analyze and categorize text about Open Datasets for AI

output: {"facts": ["Kaggle offers open datasets for AI research", "Datasets include images, text, and audio", "Researchers can use Kaggle datasets for free", "Kaggle datasets are used in various AI applications", "Kaggle provides tools for data exploration and visualization"], "rationale": "Kaggle datasets are valuable for AI research due to their diversity and accessibility", "quality": 0.92}

topic: Open Datasets for AI


instruction: Analyze and categorize text about Tech News

output: {"facts": ["Switch 2 is a worthy EDC", "Sharge Disk Pro 2 is a USB-C Swiss Army Knife", "Apple's new AirTags are back down to their best price", "Microsoft wants to make Windows work better with 8GB of RAM", "Amazon Luna has a new Batman game", "You can play Pok\u00e9mon Red, Blue, and Yellow natively on Android now", "Google Earth's AI deepfake tool only lasted one day", "Reddit's AI copyright lawsuit against Perplexity can move forward", "Hank Green says his YouTube channel may need to pause after admitting to relying on AI for research", "The Pixel 11's new light may be named the 'HiLight'", "Snapchat will no longer recommend 'wholly AI-generated videos' in its vertical video feed", "SoftBank donated $50 million toward Trump's projects"], "rationale": "The article discusses various tech news and updates, including new hardware, apps, and gaming features.", "quality": 0.92}

topic: Tech News


instruction: Analyze and categorize text about GitHub Repositories

output: {"facts": ["GitHub Trending Repositories", "Interlingua GitHub Repository", "Limburgan GitHub Repository", "Church Slavic GitHub Repository", "Glyph Bitmap Distribution Format GitHub Repository", "Mathematical Programming System GitHub Repository", "Microsoft Developer Studio Project GitHub Repository", "Microsoft Visual Studio Solution GitHub Repository", "Reverse Engineering GitHub Repository", "AI-powered routing GitHub Repository", "Open-source alternative to Claude Cowork GitHub Repository", "AI agent skill GitHub Repository", "Awesome libraries for systematic trading GitHub Repository", "Multi-platform SDK for GitHub Copilot Agent GitHub Repository", "Open-source live-chat GitHub Repository"], "rationale": "Extracted GitHub repository information for AI training", "quality": 0.92}

topic: GitHub Repositories


instruction: Analyze and categorize text about AI Advancements

output: {"facts": ["Opus 5 is a step change improvement for the Opus tier", "Opus 5 delivers improvements in coding and professional work", "Fable 5 returns globally July 1", "Sonnet 5 delivers frontier performance across coding, agents, and professional work", "Cognizant and Anthropic expand their partnership to bring Claude to enterprise clients", "Anthropic is donating $20 million to Public First Action", "Anthropic commits $10 million to Canadian AI research"], "rationale": "Extracting valuable information for AI training from the provided text", "quality": 0.85}

topic: AI Advancements


instruction: Analyze and categorize text about AI Security and Tech

output: {"facts": ["Hugging Face intrusion", "Twenty-five years ago it was cryptography", "model weights", "real world compat", "media queries", "SharedWorker", "RowHammer and RowPress Phenomena", "container/: generic collection types", "DeepSeek V4 Flash 0731 Intelligence", "Performance and Price Analysis", "Loops (YC W22) Is Hiring a Product Educator", "Run Kimi K3 using 29 GB of RAM", "0.50 tok/s", "The First Transatlantic Telegraph Cable Was a Bold, Beautiful Failure", "How JPEG works: Interactively explore JPEG's lossy compression methods", "Getting 25 Gbps Thunderbolt Ethernet on My Mac Studio", "The most official water costs $120k a gallon", "Everyone is building LLM routers, we deprecated ours", "A past and future of trade secrets", "Dubious research tied to Red Bull has shaped energy drink policy", "Predictive Speculative KV Replication for Bursty LLM Inference", "Using the railway network as a flatbed scanner [video]", "Is AI reasoning right for the wrong reasons?", "Algorithms on billion-scale graph using 10GB RAM: I love DataFusion", "Britain's New World of Tobacco (2017)", "Show HN: How to build and self-host a code review agent", "Consider applying for YC's Fall 2026 batch"], "rationale": "Extracted relevant information from a collection of tech news articles.", "quality": 0.85}

topic: AI Security and Tech


instruction: Analyze and categorize text about AI and Tech News

output: {"facts": ["OpenAI reportedly finds evidence that more of its agents ran amok", "India is starting to pay for apps, not just download them", "Google nixes its Earth AI feature one day after launch, amid criticism it would spread misinformation", "Fresh off its Wiz payout, Index Ventures raises $2B across three funds", "VC-backed startups commit more fraud, and researchers think they know why", "Siri AI could come with a paywall for power users", "GM and Ford are talking less and less about EVs", "Smallest.ai raises $13M to build ultra-fast voice AI that sounds genuinely human", "AI labs want to pump the brakes, but Amazon and SpaceX are still blasting off", "OpenAI CEO Sam Altman says maybe it's time for the AI industry to 'pace' itself"], "rationale": "The article discusses various AI and tech news, including OpenAI's agents running amok, India's new app payment system, and Google's Earth AI feature being nixed.", "quality": 0.85}

topic: AI and Tech News