Comment by nodja
> Genuine question: How is it possible for OpenAI to NOT successfully pre-train a model?
The same way everyone else fails at it.
Change some hyper parameters to match the new hardware (more params), maybe implement the latest improvements in papers after it was validated in a smaller model run. Start training the big boy, loss looks good, 2 months and millions of dollars later loss plateaus, do the whole SFT/RL shebang, run benchmarks.
It's not much better than the previous model, very tiny improvements, oops.
add to it multiple iterations of having to restart pretraining from some earlier checkpoint when loss plateaus too early or starts increasing due to some bugs…