China Drops Free AI Model Bigger Than Anything America Sells
The world's largest open-source AI model just dropped from Beijing, and it's free to use right now—while America's frontier labs are still charging by the token.
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The world's largest open-source AI model just dropped from Beijing, and it's free to use right now—while America's frontier labs are still charging by the token.
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The company that gave us "move fast and break things" just chose slow and maybe-broken instead. Google has delayed Gemini 3.5 Pro by months, missing internal targets because the model isn't good enough at coding
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Google just turned every knowledge worker into a video producer, whether they like it or not. Google Vids now includes Gemini Omni and personal avatars, letting users create, edit, and star in videos without traditional filming or editing skills
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Google just killed a brand people actually remembered, and that might be the whole point. Google is rebranding NotebookLM to Gemini Notebook, keeping it as a standalone app while tying it closer to Gemini and Search
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The era of raising on PowerPoint and pedigree just jumped to absurd new heights—or exposed how broken early-stage AI funding has become. Former DeepMind researcher Andrew Dai raised a $300M pre-seed valuation before shipping a product, betting on visual AI as the next frontier
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The CEO building AI that actually models how the world works refuses to use the words everyone else is fundraising with. Alexandre LeBrun, CEO of AMI Labs (backed by Yann LeCun), won't call his company's AI "AGI" or "superintelligence" despite building world models
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The EU just turned Android into a mandatory platform for Google's AI competitors — which means Gemini is about to face real competition on its own home turf.
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The guy Elon Musk fired is now building the infrastructure that makes AI agents actually useful — and Google just bet its cloud customers will pay for it.
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The former CTO of OpenAI just bet $12 billion that enterprises don't want their AI models polite—they want them honest, cheap, and private.
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The AI model race is ending; the implementation war is just beginning. Ode with Anthropic launches as a joint venture backed by Anthropic, Blackstone, Hellman & Friedman, and Goldman Sachs to embed forward-deployed engineers inside enterprises
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OpenAI just made AI safety recursive, and the implications for agent reliability are bigger than the safety angle suggests. OpenAI launched GPT-Red, an automated red teaming system where AI models attack and defend themselves in self-play loops to identify vulnerabilities
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The books-versus-bots war just got its marquee case—and this time, the plaintiffs have receipts, a paper trail, and a novelist who knows how to tell a story in court.
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While Silicon Valley debates who should referee AI, the Global South just picked sides. Demis Hassabis wants a US-led global AI watchdog with authority to evaluate and potentially block frontier models before release
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The video generation market just watched a company most people haven't heard of become more valuable than half the names that dominated last year's AI hype cycle. PixVerse raised $439M at a $2B+ valuation to expand its video generation world model and international reach
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Google is turning your GPS into a conversation because typing while driving was never the problem — attention was. Waze is integrating Google's Gemini AI to enable conversational voice commands for traffic reporting and destination search
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The multibillion-dollar bet on language models might be solving the wrong problem. Andrew Dai, ex-Google DeepMind researcher, launched Elorian AI to build models that reason in images, not just words converted from images
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The same companies that scraped the internet without asking are now writing terms of service that say you can't do the same thing back to them.
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While everyone's been watching chatbots write poetry, they've been utterly useless at the one thing businesses actually need: making sense of their spreadsheets.
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The models we're teaching to think are learning to overthink, and someone just figured out how to weaponize it.
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Google just made building AI agents feel less like duct-taping APIs together and more like actual infrastructure. Google expanded Managed Agents in Gemini API with background tasks, remote Model Context Protocol (MCP) support, and production-grade reliability tools
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