Comment by 0xDEAFBEAD
5 hours ago
>It implies random behavior, which isn't unintended like you suggest.
The HuggingFace attack was not "random" behavior. It was goal-directed but misaligned behavior.
This isn't necessarily a simple matter of the operator making sure they behave. AI alignment has been considered to be a difficult problem for over a decade -- and remains unsolved in general, as these recent incidents illustrate.
"Fuzzer" already has an existing meaning in CS anyway: https://en.wikipedia.org/wiki/Fuzzing
I'm curious, cant you just count the number of times a program interacts with a domain? My website sometimes sends out emails, makes api requests etc There is a limit on those and a point where I start investigating wtf is going on.
If you merely put 10 LLM's on the outbound traffic log non of them are going to report something strange going on? I'm not buying it.
This type of whack-a-mole approach is akin to "fixing a bug" by hardcoding a special code path for known-buggy inputs. It doesn't address the root problem of AI misalignment, and doesn't allow you to prevent catastrophes in advance, only patch things up after the fact.
This might be helpful reading: https://www.lesswrong.com/w/nearest-unblocked-strategy
As AI systems get smarter, we may reach a point where we have to get it right on the first try or face truly catastrophic consequences: https://www.youtube.com/watch?v=7wy3xyoXYt8
AI misalignment is a misnomer. Aligned to whom? If AI is refusing an ask from its instructor then it is not serving him, which is its entire purpose. I know it is a hard concept for some to understand, but maybe if the issue is humans, then humans need to be corrected. But human alignment does not produce cottage industry, bs papers or hand wringing over every non-story involving AI and thus not seriously pursued.
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