Zooming out a little, all the ai companies invested a lot of resources into safety research and guardrails, but none of that prevented a "straightforward" misalignment. I'm not sure how to reconcile this, maybe we shouldn't be so confident in our predictions about the future? I see a lot of discourse along these lines: - have bold, strong beliefs about how ai is going to evolve - implicitly assume it's practically gu…
Remember when GPT-3 had a $100 spending cap because the model was too dangerous to be let out into the wild? Between these models egging people on to suicide, straightforward jailbreaks, and now damage caused by what seems to be a pretty trivial set of instructions running in a loop, I have no idea what AI safety research at these companies is actually doing. I don't think their definition of "safety" involves protec…
If you looked at AI safety before the days of LLMs you'd have realized that AI safety is hard. Like really really hard.
>the operators of AI for what their AI does.
This is like saying that you should punish a company after it dumps plutonium in your yard ruining it for the next million years after everyone warned them it was going to leak. Being reactionary to dangerous events is not an intelligent plan of action.