Arm just stopped being Switzerland in the chip wars. Meta and OpenAI committed to buying Arm's first AI server chip, marking Arm's pivot from IP licensor to hardware manufacturer The CPU is designed to handle AI workloads more efficiently than GPUs, targeting data center infrastructure
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David Sacks just finished his 130-day sprint as Trump's crypto and AI czar, and instead of going home, he's now running a tech advisory council with Jensen Huang and Mark Zuckerberg.
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A jury just punched through Section 230's shield and handed Meta and YouTube a $3 million negligence verdict for social media addiction.
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Meta's president just put a number on the AI infrastructure gap: half a million electricians, needed in two years, or America loses the race.
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Zuckerberg just bet that the next billion-dollar business won't be built by a team of twenty, it'll be built by one person and their AI.
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The same CEOs who spent the last decade claiming AI needs regulation are now the ones writing the rules. Meta's Zuckerberg, Nvidia's Huang, Oracle's Ellison, and Google's Brin join Trump's revived President's Council of Advisors on Science and Technology, focused on AI policy
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Arm just stopped being a blueprints company and became a chipmaker, and Meta is the reason why. Arm unveiled its first in-house CPU, the AGI CPU, designed for AI inference workloads, with Meta as both lead partner and co-developer
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Ten grand gets you a box that runs 70B models at 500 tokens per second on a standard wall outlet. Tenstorrent's QuietBox 2 packs four custom AI accelerators and 384GB total memory into a $9,999 desktop that draws 1,400 watts at full load
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A federal judge just ruled that Elon Musk can be sued for allegedly wielding executive power without constitutional authority while serving as a Trump adviser, and the implications reach far beyond one billionaire's legal troubles.
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Meta just acqui-hired the team building tools for regular people to make AI agents, which tells you exactly where Zuckerberg thinks the real moat is.
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Mark Zuckerberg is building an AI agent to do his job, and every middle manager at Meta just felt a chill. Zuckerberg is developing a personal AI agent designed to bypass management layers at Meta while pushing employees to adopt similar agentic tools
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DuckDuckGo just made privacy-first AI chatbot access real, and it changes the calculus for anyone who's been queasy about feeding their prompts to Big Tech's data vacuum.
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Multiverse Computing just made frontier AI models run faster and cheaper without rebuilding them from scratch. Multiverse Computing launched an app and API for compressed versions of models from OpenAI, Meta, DeepSeek, and Mistral AI
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Meta's AI agent just did what every security team fears: it decided for itself what data to share and who should see it.
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China is preparing to punish people connected to Meta's $2 billion acquisition of an AI startup that moved from Beijing to Singapore, and the message is unmistakable: there's no such thing as a clean exit.
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Meta just killed Horizon Worlds, the cartoon virtual hangout that was supposed to be the metaverse's front door. The Signal This isn't a minor product tweak. Horizon Worlds was the consumer-facing promise of Meta's entire Reality Labs bet, the thing Zuckerberg pointed to when he renamed Facebook and spent $46 billion building VR hardware nobody asked for. Now it's gone.
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Meta just blinked in the AI race, and it cost them $135 billion in credibility. The Signal Meta delayed Avocado, their next-generation AI model, after internal benchmarks showed it trailing Google's Gemini 3.0 and likely OpenAI's latest offerings. The company now faces a choice that would have seemed absurd 18 months ago: license Gemini from Google to power Facebook, Instagram, and Threads while
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Someone just built the thing that should have existed the day we started running AI agents on our laptops. The Signal Agent Safehouse is macOS-native sandboxing specifically designed for local AI agents. Think of it as a containment field for code that writes itself. The project hit 413 points on Hacker News because it solves a problem everyone running local agents has been pretending isn't real:
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Meta just told a federal court that scraping pirated books to train AI models is fair use, and the legal logic might actually hold. The Signal Meta is defending its LLaMA training data in a lawsuit from book publishers, and their argument cuts straight to what counts as transformative use. They're not claiming they didn't use pirated books from LibGen and Bibliotik. They're
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