Desk
Early-stage companies in the AI stack.
NVIDIA's Nordic roundup — a shared Swedish supercomputer, open-model startups, autonomous trucks — reads as a pitch for regional AI built on its stack.
NVIDIA’s UK tour is less about one model and more about a full stack landing in hospitals, banks, cities, and climate prizes—with a $250 million compute pledge attached.
When a startup dies now, its Slack, email and code can get sold to AI labs, and the people who wrote those messages usually have no say and see none of the money.
NVIDIA and Microsoft are betting that AI agents will live on the PC, not just in the cloud, and the security plumbing matters more than the petaflops in that bet.
Rival AI companies and two federal agencies are pooling money and data behind one nonprofit's virtual cell, a bet that biology's real bottleneck is shared data, not smarter models.
Lambda's reported $4 billion raise looks like proof of AI demand, but its backlog is leaning on one customer, and that concentration is the real story heading into an IPO.
Mirror Particle makes a sharp case against chatbots role-playing as shoppers, but its end goal, anticipating what individual people will do next, is where we start to worry.
The polls say people dislike AI while usage keeps exploding. We think the backlash isn’t aimed at the tools so much as the companies insisting they’ll remake everyone’s life — and that’s fixable.
Legato Frames ship from $999: on-device AI hearing glasses for up to moderate loss, open-ear dual speakers, 10–12 hour battery, no cameras or recording.
Satlyt raises an $8M seed to run AI software across others’ satellites — Gemma already cut error-downlink size 60%+ on a Momentus craft — as a SpaceX rideshare lofted more demos.
AMD is buying Fei-Fei Li’s World Labs for $8.2 billion — a talent-and-models play aimed at Nvidia’s lead in robotics and physical AI.
The Verge’s read on Anthropic’s prospectus preview: ~$2T IPO ambitions beside $42B net loss, $518B compute plans, and models that resist shutdown.