But it doesn't parallelize. Watching 1000 babies for their first 0.365 days isn't going to reveal their potential. More practically, deep learning experiments

But it doesn't parallelize. Watching 1000 babies for their first 0.365 days isn't going to reveal their potential. More practically, deep learning experiments were tried in the 80s, but the results weren't encouraging. If they'd left the experiments running for a sufficiently long time, they might have gotten great results. But they gave it a few days, saw the loss rate plateau and hit ^C, and that was that. Most likely, the early deep learning experiments had some parameters wrong. Wisdom about choosing parameters only came once people could run multiple experiments in a week. So it's likely the same with some hypothetical AGI. Early experiments will have some parameters wrong, and it'll either go into seizures or catatonia. We won't be able to get the parameters right until we can run experiments faster than human brains. Say, simulating 5 years of life in a week, or 250x real time.