> But as the model advances, they will train less and less.
They sure have a lot of training to do between now and whenever that happens. Rolling back from 5 to whatever was before it is their own admission of this fact.
> But as the model advances, they will train less and less.
They sure have a lot of training to do between now and whenever that happens. Rolling back from 5 to whatever was before it is their own admission of this fact.
I think that actually proves the opposite. People wanted an old model, not a new one, indicating that for that user base they could have just... not trained a new model.
That is for a very specific class of usecases. If they would turn up the sycophancy on the new model, those people would not call for the old onee.
The reasoning here is off. It is like saying new game development is nearly over as some people keep playing old games.
My feeling: we've yet barely scrarched the surface on the milage we can get out of even today's frontier models, but we are just at the beginning of a huge runway for improved models and architectures. Watch this space.
for their user base, sure
for their investors, however, they are promising a revolution
If people want old models, they can go to any of the competitor's , deepseek, claud, opensources, etc... That's not good news for OpenAI.