I think people will be very surprised how quickly successionism becomes a mainstream ideology, if not socially acceptable. It will happen about as soon as everyone realizes AGI is actually a thing that will happen.
We must obviously do our best to resist this in all of its forms, including the zoo-of-loving-grace, including a "worthy successor", and including any plan that doesn't factor in human empowerment and uplift. Anything less is giving up on us as a species, and call me a romantic, but that doesn't seem very honorable - or very interesting.
@yacineMTB Yacine created his x account two years ago. You might disagree. You might even have some evidence to the contrary. But you have to ask yourself: is this really worth losing my job over? Yacine created his x account two years ago
@OfficialBBrooks@jawwwn_@EladioSantiag14@CNBC breaking news: shovel-selling guy wants to sell more shovels
you can’t cherry-pick being cynical about Dario et al.’s ulterior motives but not question Jensen’s
@tszzl obviously this is less than ideal and I am ideologically against the idea of regulating compute but i don't see how else you can address the risk of abliterated models
every single NN tamperproofing method we've come up with so far gets defeated within a few months
from a regulatory POV it seems very likely to me that the way this ends up unfolding is that we get restrictions on individuals owning significant compute
it's OoMs easier to classify GPUs as dual-use tech and regulate that, where the frameworks already exist (e.g. the same way we control chemical precursors) than try to go after OS as a concept
>looking for new local inference
>ask the inference guy if the model is turboquantized or hyperdistilled
>he doesnt understand
>pull out illustrated diagram explaing
>he laughs and says “it’s a good model sir”
>run local inference
>its turboquantized
end of week?
my mental model is that the other problems, apart from RH, don’t really have a clean way of expressing the “we’re getting close to a solution” that OAI is claiming
@VictorTaelin i spent the past 5 years working on some of the biggest non-LM models out there
consistently, simply training bigger models on more data always beat whatever trickery we managed to come up with