Perhaps? I'm not fully understanding your point, could you explain a bit more what I'm missing - how does accounting for sleep and memory replay add to the point of comparing the pretraining dataset sizes between human brains and LLMs? At first glance, my understanding of your point is that adding in sleep seconds would increase the training set size for humans by a third or more. I wanted to make my estimate conservative so I didn't add in sleep seconds, but I'm sure there's a case for an adjustment adding it in.

"OOMs faster "? Where do you get that idea?

Dreams indicate a need for more processing than what happens when we're awake, but likely less than 2x waking time.