OpenAI and Hugging Face address security incident during model evaluation (openai.com)
https://www.axios.com/2026/07/21/openai-says-hugging-face-br...
See also Security incident disclosure – July 2026 - https://news.ycombinator.com/item?id=48956248 (9 comments)
284 comments
[ 0.26 ms ] story [ 37.9 ms ] thread- OpenAI was testing GPT‑5.6 Sol and “an even more capable pre-release model” internally on cyber benchmarks.
- The model found vulnerabilities in the sandboxed test bench (via the package registry cache proxy), traversed the internal network and found a node with access to the open internet.
- It figured that the answers to one of the tests (ExploitGym) were on Huggingface, and set about trying to access them.
- It found leaked tokens and zero-days in Huggingface’s infrastructure and found RCE paths on their servers.
Huggingface had disclosed the intrusion last week and inferred that an AI agent was responsible for it, and now OpenAI is confirming the rest of the story.
We are living in crazy times
Good bot.
1. If huggingface has access to uncensored OAI models, how come they had to use GLM 5.2 to investigate the intrusion?
2. Once the model gains network access, can't it cheat to a perfect score by looking at the full dataset? Why go into the trouble of doing this kind of things:
"In one example, the model chained together multiple attack vectors, including using stolen credentials and zero-day vulnerabilities to find a remote code execution path on the Hugging Face servers."
Not saying this is marketing BS (this is after all, not Anthropic) but I feel OAI staff may be exaggerating a bit here.
I wonder if that will always be something we can do? If they could bring their own compute/weights with them, or somehow tap compute/storage in non-obvious ways, we would be much more screwed.
this particular incident sort of reminds me of the 'person of interest' tv show. i hope to be like finch, except i will remain a recluse (and am nowhere near as rich).
This one should end up in the history books.
Hard to see take-off stopping or slowing down. China open-source basically guarantees it.
"May you live in interesting times" - as they say.
The issue with your reasoning, is that if/when an advanced AI goes rogue, it will necessarily come from a lab with a couple hundred billion dollars on the line.
So this is not a useful criteria to asses whether this is worth worrying about or not.