[maciejgryka]

Yes, compute is absolutely the limiting factor today. Not only because the space of hyperparameters is huge and having more compute would make it easier/possible to explore. But also, weirdly, because inference becomes increasingly important for training, which means even more compute! A lot of work these days goes into getting better data and it turns out that using an existing large model to create/curate data for you works really well.