3min chapter

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis cover image

E26: [Bonus Episode] Connor Leahy on AGI, GPT-4, and Cognitive Emulation w/ FLI Podcast

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

CHAPTER

The Constraints of the Human Brain

I think of the human brain as having internally very high dimensional quote unquote representation similar to latent spaces inside of, you know, GPT models. And they're trying to encode these things into these very low dimensional model next that we're trying to use is quite hard. So if you have a design for an AGI that can do science that involves every step of the way you have to pass along high dimensional tensors, this is not how humans do it. Because this is not possible. Humans cannot do this. It's like the inside of the brain to be way more complicated than the larger system. Does that make any sense?

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