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"Bot" doesn't carry any implication of unintended behavior. You could call it a "buggy" bot, but these aren't ordinary software bugs.

There's no simple bugfix which will address AI misalignment. It's essentially been an open research problem for upwards of a decade.

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Fuzzer, then. It implies random behavior, which isn't unintended like you suggest. The agent's/bots/fuzzers have certain capabilities, so it's on their operator to make sure they don't do things they shouldn't
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>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

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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.

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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

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