3min chapter

80,000 Hours Podcast cover image

#90 – Ajeya Cotra on worldview diversification and how big the future could be

80,000 Hours Podcast

CHAPTER

How Much Compute Would It Take to Train a Human Level Model With Today's Machine Learning Models?

Recent discoveries have suggested that if you want to make a model like twice as sophisticated in terms of its like memory or how many strategies it thinks about you only need 1.7 or 1.5 times as much data okay so it's not quite asData intensive as we previously thought yeahOkay going back to the question of how much compute would it take to train a human level model with today's algorithms is there any intuitive way of communicating what probability distribution you gave it? So i mean first of all my colleague Joe Carlsmith recently put out a great detailed report on basically what evidence can we gather from looking at the brain about how powerful the computer you'd need to replicate the tasks of the brain

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