Fair scunes for all!
there's going to be a lot of pressure to make this set of beliefs legible and accountable to the safety team or to states or to the general public.
Where does this pressure come from?
How does the sycophancy compare between o-series models and 4o? AFAIK only o-series have deliberative alignment applied on them.
These machines will soon become the beating hearts of the society in which we live.
An alternative future: due to the high rates of failure, we don't end up deploying these machines widely in production setting, just like how autonomous driving had breakthroughs long ago but didn't end up getting widely deployed today.
How has these predictions shaken out? How does the growth rate of AI Safety researchers compare between academia & industry?
There may be additional societal and political problems afterwards. But none of those problems actually matter unless the technology works.
What do you think of the argument that "There may be additional technical problems afterwards. But none of those problems actually matter unless we have answers for societal and political problems."?
This is not very surprising when we think about the fact that LLMs are statistical next-token predictors.