Nvidia's CEO told Trump an AI slowdown won't happen on his watch -- a blunt reminder that the safety debate has a very motivated opponent.
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OpenAI just spent $300 million on a camera startup, and it's the clearest sign yet that the next AI battleground is hardware, not just models.
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Apple finally fixed Siri, Microsoft wrote AI models a rulebook, and Superhuman just bought a 400,000-user notetaker -- three signs the AI assistant land grab is entering a new phase.
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OpenAI just validated "describe what you want, get a dashboard" as the future of business analysis -- but its Data agent still sits on top of a warehouse and BI stack you have to buy separately.
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Salesforce unveiled seven named "job-ready" Agentforce agents ahead of Dreamforce 2026. The engineering is real. The packaging is the actual story.
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Sam Altman, Dario Amodei, Barack Obama, and TechCrunch's own newsroom are all suddenly talking caution. Here's why business buyers should read past the headline.
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Obama's call for a "clear plan" on AI safeguards is really a preview of the regulatory uncertainty every business running AI tools should plan for now.
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Garry Tan wants US labs to copy China's playbook, mathematicians are pushing back on AI labs, and an Anthropic researcher just quit warning of superintelligence risk -- all in one week.
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Altman rules out a 2026 IPO and Amodei talks about pacing the frontier -- but the money and the mission are still pulling in opposite directions.
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OpenAI is delaying its IPO and Anthropic is talking about slowing down. For once, the two rivals' incentives might actually line up with yours.
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A new Firecrawl playbook shows how top engineering orgs actually run AI coding agents at scale -- and the numbers say the bottleneck isn't code generation, it's trustworthy review.
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Twenty-five mathematicians just told AI labs to back off their work -- and the fight says a lot about who gets credit, and paid, in the AI era.
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Anthropic's distillation report, an alignment researcher's resignation, and Jensen Huang's growth math all point the same direction: the AI industry is racing itself faster than it can explain itself.
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Two small research advances -- monkey bars and tactile sensing -- hint at where humanoid robots actually need to improve before they're business-ready.
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TechCrunch Disrupt's ticking deadlines and Mark Wahlberg's keynote say more about where AI hype is headed than any product launch this week.
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Garry Tan wants open-weight labs to distill frontier models as a public good, while 25 mathematicians say those same labs are strip-mining their work.
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One AI lab is chasing $2 billion in revenue while another's own researcher just said the industry is gambling with our lives.
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A humanoid robot swinging across monkey bars looks fun on video, but the real signal for business buyers is still years away.
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From Nscale's IPO-track board hire to Listen Labs ditching $1.5B for a Salesforce deal, today's headlines show AI's capital story getting weirder and more revealing.
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Typewise's new $2-per-resolution pricing fixes the fairness problem with per-seat SaaS. It doesn't fix the ownership problem -- and that distinction matters as volume grows.
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AI agents are quietly reshaping public services and dodging bot-detection at the same time -- both stories say more about deployment than models.
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OpenAI pauses Pro sign-ups, Anthropic accuses Chinese labs of distilling Claude, and a new board member signals OpenAI is finally taking alignment risk seriously.
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Today's headlines skip humanoids entirely -- tactile sensing research and cyborg cockroaches are the real story, and that's worth noting.
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OpenAI pausing Pro signups, Anthropic's distillation accusations, and Meta's Muse climbing the charts all point to the same lesson: AI infrastructure is a moving target.
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