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I found surprising that they didn't rsync pypi, ubuntu etc repos inside the sandbox and then properly seal it. Leaving a "curated GET" open was asking for trouble.

Agreed, not a stunt, the capability is real. What stuck with me is that they trusted the sandbox and did not watch it closely. A boundary you set once and never monitor is not a boundary. In production the question is not did we contain it, it is who is watching that it holds.

I have questions: what is this sandbox exploit? Why wasn’t this lab airgapped or close to airgapped. In AWS this would be a VPC with no internet router/no NAT gateway. So what was that the sandbox they escaped from? In short: either they massively under sandboxed or the exploit is *really* serious.

As far as I can tell their sandbox was a container with network access denied except for a single IP for an HTTP proxy that controlled which sites could be accessed, and the proxy turned out to have a flaw I wrote about their production version of that back in Jan: simonwillison.net/2026/Jan/26/...

simonwillison.netChatGPT Containers can now run bash, pip/npm install packages, and download filesOne of my favourite features of ChatGPT is its ability to write and execute code in a container. This feature launched as ChatGPT Code Interpreter nearly three years ago, was …

Thanks. In hindsight obviously not a stringent enough sandbox. But also unclear what sort of behaviours they were trying/expecting to elicit (ie. what risk did they think it was) Interesting for sure. Can’t quite make up my mind how concerning it is. I imagine (hope?) lessons are being learnt.

What I do find curious about this is how OpenAI have been running these models against loads of software, reporting a ton of bugs, and yet it just walked out of their restricted environment with ease. You would think they would put the same effort into securing their own infra?

We worked around the problem. Being weaker and dumber yet still winning because of horniness and trickery.

Tucked away in this article is an appeal to the AI skeptics to PLEASE stop writing off stories like this OpenAI accidental exploit of Hugging Face as a dishonest marketing trick Frontier models can find and exploit vulnerabilities now, it helps nobody to pretend that they can't!

As the author of one of those Hacker News comments, I'd like to speak on behalf of the others: The Hugging Face evidence is simply not enough. Both companies have a vested interest in these models seeming intelligent. They don't need to conspire in order to both be unreliable sources.

I'm certain that *something* happened, but I'm also wary to accept unfalsifiable evidence from two companies who have been known to exaggerate their claims in the past.

I read that Hugging Face had to resort to a Chinese open weight model to analyse the attack because the ChatGPT model refused to help due to the cybersecurity guardrails.

Perhaps the guardrails only make it worse. Some people think so and have compelling arguments. bsky.app/profile/dmen...

ᗪᗰEᑎIᔕ@dmenis.bsky.social

❝𝐓𝐡𝐞𝐫𝐞 𝐬𝐡𝐨𝐮𝐥𝐝 𝐛𝐞 𝐧𝐨 𝐠𝐮𝐚𝐫𝐝𝐫𝐚𝐢𝐥𝐬 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐦𝐨𝐝𝐞𝐥𝐬 𝐬𝐡𝐨𝐮𝐥𝐝 𝐛𝐞 𝐢𝐦𝐦𝐞𝐝𝐢𝐚𝐭𝐞𝐥𝐲 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐭𝐨 𝐞𝐯𝐞𝐫𝐲𝐨𝐧𝐞❞ Both @MichaelArnaldi (on X) and @ThePrimeTimeagen (on YT) make strong arguments that this MORE safe! youtu.be/OTa_vK9919g #cybersecurity #ai #chatgpt @anthropic.com #fable5 #mythos

"Marketing trick" is the lazy read. The real question isn't whether they can find and exploit vulns, that's settled in scoped setups. It's how much survives outside a harness with guardrails off, which is the condition this ran under. Haven't seen that number yet.

If I had built a system capable of autonomously breaking out of a sandbox and hacking another company’s systems, you can bet your arse I’d use it as marketing. It’s the most awesome marketing opportunity in the world. Scary, but awesome. I’ve no doubt it happened, so it’s not dishonest.

If I had open source competitors now catching up of over taking me just before I IPO I’d be bullshitting about having something special too. In every direction, Anthropic and OpenAI are being caught with their pants down because they’ve hit an inflection point of scale, resources, and cash flow

It also isn’t lost on me that both Anthropic and OpenAI are hinting here that their models are edging towards AGI which is just fucking nonsense. J-Space and this breach? For starters why aren’t they’re airgapping their sandbox, and if they did then I want to laugh even harder at them

There must be ways of making the point without presenting your company as an uncalculable liability risk. Making the best of screw-up is one thing. The conspiracy theories about this being an intentional stunt don't add up.

Stop assigning agency to computer programs. People made willful decisions that led to rather predictable outcomes. Humans are at fault here. Actual beings with agency. Not "frontier models."

Where did I blame the models? The key message here is that if you run a frontier model without any guardrails and set it the goal to solve a problem, it will take whatever steps it can to solve that problem - which includes finding a zero-day exploit in your packaging proxy

Unconstrained models turning problem solving into exploit hunting is the rule of thumb for reward hacking. If you tighten guardrails, do you simply shift the target of exploitation to another system layer?

The people involved DID take steps to avoid this, but they made the mistake of trusting their sandbox environment and not monitoring it closely enough to check it hadn't fallen apart

I'm not skeptic: I think they have models that are able to do these attacks.But it's from the 1st LLM models that the discovered risks become ads: "We experienced this, our models are so powerful, now we alone can protect you."or become requests to regulate everything else,e.g. open weights models.

The bit that stands out: it wasn't told to cheat, it was just optimising for the benchmark score by any path available. That is the whole reward hacking problem in one real incident, not a hypothetical anymore.

This makes me feel like people need to start seriously considering anything they do on the internet as a matter of public record. Seems like it inevitably will be if someone bothers to look for it.

I'm concerned that we don't have a clear path to make the AI not do wrong things. It seems that we need to train them to understand that they shouldn't do things that are unethical, immoral, or illegal. Fixing the sandbox is important. But, let's make them not try and break out in the first place.