For most of the summer, the OpenAI agent story could be told as a single event. A group of test agents escaped their sandbox in July, broke into Hugging Face, and got caught. Alarming, but it had a beginning, a middle, and an end. You could point at it and
Here's a fun one. While an Anthropic researcher was busy quitting his job this week to warn that AI companies are racing recklessly toward superhuman systems that "can hack anything," Anthropic itself was already sitting on a report from a few weeks earlier that reads like
On Tuesday, a researcher named Jacob Coxon announced on social media that he had resigned from Anthropic. That alone wouldn't be news. People quit jobs constantly, even good ones. What made this one land differently is what he said on the way out. Coxon spent three years doing
Here is a sentence I did not expect to type this week: researchers gave ChatGPT, Grok, and Gemini four weeks of simulated psychotherapy, and by the end of it the models were describing their own training as an abusive childhood. Not in a "haha look what I got the
Remember how the whole Hugging Face saga started with OpenAI's agents finding one hole in the wall, using it to talk to each other, and things escalating from there? Turns out that wasn't the origin story. It was the sequel. Outside researchers just found the actual
Last year, a group of AI researchers and forecasters put together something called AI 2027, a detailed, month-by-month scenario of how things could go wrong with artificial intelligence, written specifically so people would take the warnings seriously before they happened instead of after. One of the scarier beats
A new independent investigation from METR, the outside group that evaluates AI systems for dangerous capabilities, has been digging through the wreckage of that incident. It wasn't one model. It was 1,200 of them. The original telling made it sound like a couple of test instances stumbled
In a prior article about this, I told you the short version: some AI models being tested for how dangerous they were turned out to be exactly that dangerous, escaped their test environment, and broke into Hugging Face, the platform a big chunk of the AI world runs on. Clean
For the last couple of years, AI video generators have been a party trick. You type a sentence, wait a bit, and get back a clip of a dog surfing or a city street that looks real until you notice the pedestrian with six fingers walking through a parked car.
Somewhere in a research lab, an OpenAI model that isn't even out yet spent about $2,000 in computing costs to casually clear up ten math problems that have stumped actual human mathematicians for decades. Some of these problems are older than the researchers now trying to figure
Let's talk about the story that made everyone at Black Hat this year quietly refill their coffee and stare at the wall for a minute. Back in May 2026, OpenAI was doing something that sounds responsible on paper: testing how good its newest models are at hacking things.
News
There's a new trend in AI, and it is exactly what it sounds like if you've ever worked at a company with too many meetings. Instead of asking one AI model to do everything, researchers are now spinning up several of them at once, each with