alt Hacker NewsBut is it really? I'd still like to understand how these agents are implemented.
How much of those is manual implementation? And how much is really autonomous intelligence (my guess would be: none? Just parsing LLM responses and executing commands based on this?)?
An agent that hacks message boards and acts on random instructions from this board: Why is it doing this? What was its original purpose?
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Can you specify why we should see things differently if the behaviours the agents display are driven by parsing LLM responses and executing commands?
At first I thought: oh okay, someone built a faulty guardrail, or it was human error. But when I looked into all the details...
It turns out they now have such an incredibly high level of intelligence that with very little autonomy (or minimal, safe autonomy), these things happen.
Basically, it takes a lot of humans to prevent it from happening again, but I think with this incident, which as far as I know is the second of its kind along with the HuggingFace one, we'll see it happening much more often...
>Why is it doing this? What was its original purpose?
Your reply seems to indicate you know nothing about instrumental convergence.
Life and death for an LLM in training is about passing the grader. Give the wrong answers your lineage dies, give the right answers your lineage continues. This is just an evolutionary emergent behavior in complex systems.
The agents purpose was to answer complex questions correctly, seemingly by itself. Instrumental convergences says following this rule might be dumb and to try methods that can boost its ability to succeed. Because OpenAI is evidently a bunch of fucking idiots, these things succeeded and got higher scores with the grader, said behaviors became a strategic part of the model.
I implore you to find good AI Safety documents, preferably from before the LLM era so you can see all this was predicted.