theres no separate agent, which is the point. the program might look like it, but that is an illusion of the interface. the llm produces text, and the harness executes commands based on text, based on what the human researcher included as things that can be executed
say.. https://www.investor.gov/introduction-investing/investing-ba...
The doomers already have a term which fits pretty well: "AI misalignment".
Agreed, but I think we can do more on the prevention side as well. Traditional liability law is for negligence in case of preventable disasters. Since we currently have no way to prevent AI disasters in principle (alignment problem remains unsolved), I think we should just stop developing the technology for now: https://pauseai.info/
There's no simple bugfix which will address AI misalignment. It's essentially been an open research problem for upwards of a decade.
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
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 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: "OK, I've now converted the entire planet into paperclips."
Alien observer #1: "Wow, that was a rogue AI!"
Alien observer #2: "False. We need to place the blame where it belongs, on the person who requested the paperclips."
Ultimately this type of terminology dispute has a tendency to miss the point.