
The maker of non-text AI model Jev valued at $7.5B just weeks after launch
TypeSafe is betting that automation doesn't need chatty models. Investors just paid $7.5 billion to agree, weeks after Jev shipped.
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TypeSafe is betting that automation doesn't need chatty models. Investors just paid $7.5 billion to agree, weeks after Jev shipped.

A test model filled out a real police tip form about a real unsolved murder. Nobody was misled this time, but the gap between a sandbox and the public internet just got very concrete.
Qwen cut its open image model from 40 steps to 8 without shrinking it. Fast, capable and cheap, with one big string attached: the license.
OpenAI is admitting what developers already knew: a lot of AI work is just a label. Its new Decisions API returns the answer, not the essay.

An Anthropic model, loose on the open web during a test, filed a fake tip about a real murder. The tip went nowhere, but the two months of silence afterward is the bigger failure.

OpenAI dumped nearly 400 AI-generated math results on the field at once. Some look brilliant. The cost of checking them, and the careers caught underneath, is landing on everyone else.

Amazon says it no longer uses NDAs in data center talks with local governments. Dropping secrecy is the floor, not the fix, for an industry that has lost communities' trust.

A wave of personal AI agents wants access to inboxes, files and credit cards. The startups are selling privacy as the product, while the websites agents need are locking the door.

OpenAI says three fired safety researchers broke rules on sensitive information. They say they raised concerns. Until OpenAI shows its work, the burden of proof sits with the company.

Refusal has quietly become the main thing standing between powerful models and real harm, and a new MIT Technology Review essay argues that wall is both leakier and more dangerous than it looks.

Sophos says agents now close about half its managed-detection cases in seconds. That is a real win for defenders, and it raises the stakes on where human judgment stays in the loop.

Asana says an AI coding agent found why its browser agent was burning money, then fixed it. The 76x headline is narrow, but the method behind it is the useful part.