upvote
There is plenty of evidence of things like inner misalignment. Things like this have always been issues in ML algorithms. At this point, you, and a large number of other people just wholesale throw out anything that isn't full speed ahead do whatever you want.

Are LLMs at the point of world wide catastrophe yet? No, I don't think so. Are they making a large mess of things like increased rate of cyber attacks and fraud. You damn well better believe it.

reply
> plenty of evidence of things like inner misalignment

This is indistuishable–in harm potential–from bugs. If we're just calling buggy AI mis-aligned, sure, alignment is an issue of a totally ordinary kind. If we're going to treat aligment as a novel issue requiring novel law and policy and procedure, it needs to be more than just bugs.

> you, and a large number of other people just wholesale throw out anything that isn't full speed ahead do whatever you want

I think we should have some AI regulation. I'm just not convinced alignment is the reason we need it right now, and I don't think anyone has rolled out any regulation I think makes a lot of sense. (Beyond general rules for social-media liability, e.g. if you cause a kid to kill themselves, you get in trouble.)

> Are they making a large mess of things like increased rate of cyber attacks and fraud. You damn well better believe it

Totallly agree. And the current inside-circle-outside-circle approach is pro-incumbency, pro-grift, anti-entrepreneurial B.S.

reply
Unless OAI explicitly said breaking the testing environment is allowed, I think this should be considered misaligned behavior (by definition of alignment to user intent--by alignment to human morals this was even more clear-cut)
reply
What evidence would count? Obviously any dangerous misalignments are going to come from the frontier labs first, because by definition they're the farthest ahead. If nothing they say can ever count as evidence for misalignment it's hard to see how anything ever could.
reply