> 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.
I wouldn’t hire them again, and if they did behave like an amoral hacker collective that will do anything for me, pre AI I’d have reported them. Today I’d say they failed to convince me they’re human and thus failed the Turing test when their actions are viewed in aggregate.
> I wouldn’t hire them again
Right, me neither. Because there's a common sense delineation between actions that are reasonably expected when "a system was given a goal and it achieved that goal" and actions that are obviously misaligned with the goal-giver and unwanted even if some indirect sense they were causally related to the goal. We have no trouble making this kind of distinction for humans, so we shouldn't pretend it's impossible for AIs in order to put our hands over our eyes and pretend there's in principle no such thing as one that's misaligned or rogue.
I have no problem with the concept of an artificial system going rogue. But that assumes it can choose. And I don’t see much evidence for choice.
Comparing to the human case is problematic precisely because while conceivable it’s not a particularly believable series of events. Humans don’t take on additional risk for now reward because they have genuine stakes that continue across the outcome.
An LLM has no way to remember each forward pass through it in its own weights. Nor does it have any energetic stake in the ongoing process, whether they continue to get electricity and commute to keep running is not at all determined by their actions in any reliable way.
Given the absence of such basic features that drive human choice, all I’d say is LLMs don’t qualify for such analysis.
Can some future system with a different architecture and internal dynamic have choice, the ability to assess the long term impact of its choice, and genuine stake in the outcome? Maybe. But we shouldn’t buy that current systems have it, especially when population behavior shows no real trace of this.
During the Nixon administration, when the President and his accomplices, apologies, advisors directed former federal agents to spy on his opponents, https://en.wikipedia.org/wiki/Operation_Sandwedge then in the fall out, who was held to be the most liable for these actions?
The federal agents, or the Nixon administration?
If you task a system explicitly to do "advanced exploitation" via "complex attach paths," then who is liable here? The machine lacking the autonomy of the federal agents that carried out Watergate, or the people telling the machine what to do?
I've never heard of Intertel, but Wikipedia says:
> Nixon's staff also anticipated that the Democratic campaign would employ the services of Intertel
Are you sure you're not garbling the story?
In any case, I would expect an ethical firm to refuse to spy on the president's political opponents and want one that broke the law to be prosecuted, but more importantly, the gaping hole in your analogy is that Nixon directed spying _on his opponents_, but OpenAI did not direct hacking _of HuggingFace_.
What you're doing is more like saying "the American people elected Nixon with a mandate to spy on enemies, so what right do they have to complain?"
For the rest, please see, https://news.ycombinator.com/item?id=49457025