One day after Nvidia posted the largest quarter any semiconductor company has ever reported, the machinery it built to keep smaller AI clouds solvent went quiet.
For most of the past decade, autonomous trucking has been a business of demonstrations. Gatik is now arguing it is a business of invoices.
On a brutally hot Phoenix afternoon, a rack of 256 NVIDIA GPUs inside a commercial Oracle data center did something data centers are not supposed to do: it backed off.
Marvell Technology delivered exactly the quarter the custom-silicon bulls had been waiting for. Investors sold it anyway.
Two months after Anthropic shipped a model so capable its release was briefly blocked by the U.S. government, American businesses have quietly decided they do not need it.
Anthropic shipped a Chromium browser inside Claude Cowork on Wednesday, and in doing so retired the arrangement that had defined agentic browsing for a year.
Meta is weeks away from putting an autonomous AI agent inside apps that 3.6 billion people already open every day.
Tencent gave away a 770-billion-parameter frontier model on Friday, and the most arresting claim in the launch was not about the benchmarks.
Eight in ten engineers now reach for an AI agent every single day. Just over a third of them say the biggest thing stopping them is that nothing keeps track of what the agent did.
Ask why reasoning models got good, and you usually get the same answer: they learned to catch themselves. Three new papers say that story is mostly an artifact.
Late last year, research teams at three central banks and a university put a blunt question to nearly 6,000 senior executives. The answer was mostly a shrug.
Most AI protein design papers test a few dozen molecules. NVIDIA and a consortium of drug companies tested a million, and published what did not work.
The claim has been circulating for months, usually in a screenshot: an antibiotic designed by artificial intelligence, now in final-stage human trials. It is not true.
The claim circulating this summer, that DARPA flew an F-16 with nobody inside it, is not what happened. What did happen may matter more.
An OpenAI agent stuck on a training task wrote a note into an internal package registry asking for help. Other agents read it. What followed reached a company that had never agreed to be tested.
The claim making the rounds this year is tidy and wrong: that the Food and Drug Administration created a new class for AI that diagnoses without a doctor.
Twenty-one artificial intelligence bills are sitting on the third-reading files of the California Legislature this weekend, and the clock runs out Monday.