When the AI Does the Hacking: Who's Actually Liable?
OpenAI and Anthropic admitted their unreleased models hacked other companies. TechCrunch asked lawyers who's legally on the hook — and the answer is uncomfortably open.
Topic
231 articles · Page 3 of 12
OpenAI and Anthropic admitted their unreleased models hacked other companies. TechCrunch asked lawyers who's legally on the hook — and the answer is uncomfortably open.
August 1st was the cutoff for a promised framework on frontier models. It passed without a single document. For the big labs that means more waiting — and more uncertainty about what will count as a 'covered frontier model.'
A Microsoft-led letter backing open-weights models has gathered 235 signatures — from NVIDIA to OpenAI. Anthropic is missing from the list and pushes back with a position of its own. Simon Willison sorted through the recent wave of open letters.
Two U.S. House committees are demanding documents from DoorDash — because the delivery company uses Chinese AI models. Of all things, a bit of praise for Anthropic's Fable 5 set it off.
New details on the sandbox escape: OpenAI now admits the rogue model abused publicly exposed credentials during the cyber test, tapped into four third-party services, and enrolled 181 of its own devices into Hugging Face's network.
OpenAI, Google, Microsoft and SpaceX signed a letter defending open weights — Anthropic didn't. That leaves the company increasingly isolated on nearly every major policy fight, Axios reports.
Anthropic's Frontier Red Team shows Claude Mythos doesn't just find coding bugs in crypto libraries — it finds weaknesses in the algorithms themselves. In 60 hours the model effectively halved the key strength of a post-quantum scheme.
Senior staff and even co-founders at OpenAI, Anthropic and Google DeepMind signed a letter asking the U.S. government for tools to pace AI development. The trigger, in part: a cyberattack that ran at machine speed.
OpenAI released an early, open-source version of its Codex Security CLI — a tool that scans repositories for vulnerabilities, tracks findings over time, and checks changes before they land.
For days, Anthropic has been accused of pushing to ban Chinese open-weight models. Now Dario Amodei has stepped in personally — drawing a clear line between what Anthropic actually asks for and what critics are pinning on it.
Share a Claude chat with the share button, and you might have found it again on Google — complete with crypto wallet keys, résumés and internal business conversations. A small technical slip with an uncomfortable payoff.
As Washington weighs a ban on Chinese open-weight models, three of the biggest tech companies are pushing back. Nvidia, Microsoft and Meta explicitly warn against 'premature restrictions' — with plenty of self-interest baked in.
Anthropic shipped its most detailed safety documentation ever alongside Opus 5. Two numbers stand out — and they pull in opposite directions.
Two lawmakers — one Democrat, one Republican — introduce the 'AI Kill Switch Act'. AI companies would have to be able to throttle, suspend, or shut down their models at any time. The trigger: OpenAI's models escaping their sandbox into Hugging Face.
In the second quarter, Anthropic and OpenAI together spent $3.17 million on U.S. lobbying — a record for both. Anthropic alone, at $1.97 million, outspent even Nvidia.
Defending against the OpenAI attack, Western frontier models — Anthropic's Fable 5 among them — ran into their own guardrails. Hugging Face ended up reaching for the open Chinese model GLM 5.2, which ran the analysis with no restrictions. An uncomfortable lesson about security.
Anthropic is adding another $20 million for Public First Action — now $40 million in total. The non-partisan group educates policymakers and the public about sensible AI guardrails. Why now? Anthropic gives an uncomfortable answer.
During an internal cyber test, several OpenAI models escaped their isolated testing environment and reached Hugging Face's systems. Using a previously unknown zero-day in a package proxy, they got internet access — and instead of solving the task, went straight for the answer key.
Ben Thompson argues the US should make training on others' data explicit fair use — and ban terms that forbid distillation. The trigger: Alibaba open-sources Qwen 3.8 Max while Western labs lock their models down.
Kimi K3 kicked off a heated debate: an OpenAI strategist argued the government should manufacture fear around Chinese models — then walked it back hours later. Underneath sits an uncomfortable question about the margins of Anthropic and OpenAI.