@adam_dorr Sounds like some kind of problem. I was able to use it for hours last night and burned like 30% of fable usage. Although I used high, not max.
@DavidSacks@wholemars Sorry, but this is bullshit! Everyone knows that all the models can be jailbraked, just see @elder_plinius. It doesn't appear to be easily fixable. You have been against these kind of restrictions and now you support them??
@NickADobos I don't even want to continue my projects without it. Feels waste of time to spend one day fine tuning something with Opus 4.8 that Fable was able to oneshot. This literally happened.
@DavidSacks@wholemars Sorry, but this is bullshit! Everyone knows that all the models can be jailbraked, just see @elder_plinius. It doesn't appear to be easily fixable. You have been against these kind of restrictions and now you support them??
I do not understand the negativity around Opus 4.8. I wonder if there's some kind of campaign against it. It is clearly better than before. With Opus 4.8 I can again continue a project I got stuck with using Opus 4.7 and GPT 5.5.
@JPKivisto@StochasticStat1 ... been solved.
4) Solve the new problem.
5) etc.
Maybe 2) is too hard, I don't know. Or 3) is not possible, which I doubt.
Anyway, I wouldn't bet against our ability to improve these systems. And not saying LLMs are some holy grail, but even they can be powerful.
@JPKivisto@StochasticStat1 ... in the new space etc. etc. Or do think the LLMs ability to solve things get exhausted when all "obvious" problems have been solved?
So I see it something like this:
1) Solve a "known" problem
2) Retrain autonomously with the solution
3) Figure out new problem as 2) has ...
@JPKivisto I don't care whether something "thinks" or not if it can beat any human in chess or go, or in any game whatsoever, and solve mathematical proofs in split second that no human can do. At that point, whether it thinks or not is just a play on words. That's the trajectory we are on.
@JPKivisto Where and how has it been shown? I use LLMs pretty aggressively and I'm not sure I agree with that. I think it may be possible to form chains, where the LLM "thinks", tries and verifies ane eventually memorizes novel stuff.