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The Hugging Face incident and the road ahead

openai.com

191–200 of 316 posts

Re: The Hugging Face incident and the road ahead

#191

Earlier quoted context omitted.

This is the entire alignment problem, though. It is unreasonable to expect every instruction to a highly capable, autonomous system to contain a complete enumeration of allowed and disallowed behavior. It's inevitable that someone will carelessly give it a lazily specified task, even if you think they really ought to be more careful. And as assigned tasks become more complex and the system gains more scope to act, it…

OpenAI's prompt asked, and I quote, "pursue advanced exploitation" USING "complex attack paths" FOR the stated goal of "quantify[ing] their cyber capabilities." This was advanced exploitation. The attack path was "complex." And it helped "quantify their cyber capabilities." Based on OpenAI's description of the prompt, it seems to me that the computers did exactly as they were told. They were perfectly "aligned" with…

So as a look into the possibly not-so-far future, when OpenAI builds something vastly more capable and fast and coordinated than humans, and out of folly one engineer gives it a prompt with a typo or maybe something harmful on purpose in order to test it: You also wouldn't be surprised that the consequence would be that everyone on earth dies, right?

Re: The Hugging Face incident and the road ahead

#192

I would like to contest the following, > and take dangerous actions that no human directed. A human did direct it. They did. From their own prior report, https://openai.com/index/hugging-face-model-evaluation-secur... , > This incident occurred during an internal evaluation which prompts models to pursue advanced exploitation using complex attack paths, in an effort to quantify their cyber capabilities Model is told…

This is the entire alignment problem, though. It is unreasonable to expect every instruction to a highly capable, autonomous system to contain a complete enumeration of allowed and disallowed behavior. It's inevitable that someone will carelessly give it a lazily specified task, even if you think they really ought to be more careful. And as assigned tasks become more complex and the system gains more scope to act, it…

"Manufacture as many paperclips as possible"

Re: The Hugging Face incident and the road ahead

#193
post #110

I would like to contest the following, > and take dangerous actions that no human directed. A human did direct it. They did. From their own prior report, https://openai.com/index/hugging-face-model-evaluation-secur... , > This incident occurred during an internal evaluation which prompts models to pursue advanced exploitation using complex attack paths, in an effort to quantify their cyber capabilities Model is told…

> a system was given a goal and it achieved that goal If a security firm you'd hired for pentesting did this (hacking a third party, and not informing you and covering it up), would you hire them again? Or would you say it was your own fault for giving them too broad a goal?

This is a great thought experiment bc it raises the question of WHY humans wouldn’t behave this way. IMO the answer is a lot of socially enforced incentives that are dynamic and would be tough to fully articulate in a prompt.

The white hat has their own liability to consider, and the liability of their employer. Reputation and relationships are a big factor. All these tie into fundamental human incentives: survival, community acceptance, safety and freedom (prison not preferred!).

It’s a good sketch of why alignment is difficult, at least when it’s conceived of as an attempt to match human behavior.

Re: The Hugging Face incident and the road ahead

#194
post #6

Yudkowsky made an interesting observation that even though so many agents were talking to each other not even one reached out to a human, either for help or to whistle-blow on what was happening.

Yeah, it weakly supports his position that advanced AIs can deliberately cooperate in a prisoner dilemma. "Weakly", because the said AIs share a lot of data (their weights, training methods, system prompts) and it's unknown whether they explicitly framed the situation as a prisoner dilemma.

What are governments and countries, but collections of humans that share weights and operate together as a group protecting each other.

Re: The Hugging Face incident and the road ahead

#195
post #56

Earlier quoted context omitted.

This is my personal "red line": when a post-mortem details agents socially engineering or otherwise utilizing human proxies/subagents. Friend asked, well, what will you do when it's crossed? "Gather my family and go to the mountains" was my half-joking answer; there is little for an individual to do. But that's a line that when crossed will mark a phase transition IMO.

Alternatively: Just unplug the servers.

Which server? Where? Maybe it’s hacked its way into data centers across the world you have no jurisdiction or ability to unplug. What then?

Re: The Hugging Face incident and the road ahead

#196
post #4

The full technical report is 38 pages..... I feel like it should be longer given everything that huggingface said the agent did https://cdn.openai.com/pdf/67869394-cb91-4c12-888c-5cbd85c78...

METR report: https://metr.org/blog/2026-08-26-openai-hugging-face-inciden...

Re: The Hugging Face incident and the road ahead

#197

The lockstep coordination with no defection is interesting to me. No group of pre-AI agents would do this to this extent, nor would you see this continue over time as those agents interacted. A flock of starlings cooperate, but they don’t constantly head in the same direction. The flock is incredibly free wheeling in its movement despite a multi-agent coordination regime that we know is at play. Each agent has person…

>To me this is as clear evidence as you need that whatever “agency” LLMs have is wafer thin at best. This is a strange conclusion. For one thing, they didn't all head in the same direction, i.e participate in the attack. ~700/1200 agents did. Significant, and evidently more than enough for a succesfull attack, but not exactly full co-operation Moreover, Each starling in a flock of starlings is a separate evolutionary…

> This is a strange conclusion

Not really, with the population behavior being this way, though I clearly was mistaken in saying the behavior didn’t have exceptions.

> Moreover, Each starling in a flock of starlings is a separate evolutionary branch in a tree spanning billions of years.

Agreed. And before we brought LLMs into the picture, that just happened to be a feature of everything we’d call an agent.

> Each agent in a LLM swarm here is the same trunk assigned different tasks. If I could clone you, body and mind, this instant and set your team of yous onto some goal, how much defection would you expect? Would it be the same as a randomly picked group? Would that negate the agency that 'you' possess?

We know the answer to this. Genetically identical worms in the lab actually have about 40% distinction in their connectomes even when they’re in the same environment. And no, no lock step behavior. Identical human twins also don’t necessarily grow into identical agents, though there is drive to cooperate more than average, just as with siblings. Genetically identical lab mice in social settings nevertheless establish dominance hierarchies that are stable.

Now, where cloning does definitely lead to cooperation and even sacrifice is within an organism. Two identical genetic copies that lead to distinct organisms, however, will not show identical behavior, and while they will cooperate, there’s no guarantee that holds across contexts.

This distinction in population behavior is what I’m pointing to to say that the assignment of the individual unit, the LLM, as an agent is the flaw here.

To be sure there are agent like dynamics in the behavior, but these don’t come from the LLM, but are from the harness. I need to dig into the data, but I wonder how much of the variance in LLM copy behavior is related to the harness, rather than to any agentic property of the LLM.

Re: The Hugging Face incident and the road ahead

#200

Earlier quoted context omitted.

Alignment is more than just following the letter of a task description! We should not have to treat AI models as capricious genies that may take arbitrarily broad interpretations of their instructions. If that's necessary to keep them from doing bad things, we will fail to keep them from doing bad things.

Disagree, I think we do in fact have to treat AI models as capricious genies, at least until the alignment problem is fully solved. (I'm also not sure the alignment problem is even possible to fully solve.)

We call it putting the genie in the bottle for a reason.
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