2026-10-22 11:03 UTC
It isn’t, but that’s not how LLMs are built. If you want to go that route, you can read Jeff Hawkins 1000 brains.
The short and sweet is he argues you can’t get artificial general intelligence the way we make LLMs, you need to basically create neurons and let them connect and interact in novel ways.
Linear algebra in neural networks isn’t really that, despite the name.
Replies (1)
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@Artisian@lemmy.world 2026-10-22 15:44
Linear algebra + sigmoids are enough to approximate any function from R to R; in particular, a small set of a few layers of LLM neurons can connect and interact in pretty novel ways. There are some things they can’t do, and those things aren’t computable. If our brains can do non-computable things, then our brains are super-turing (and this, given the evidence, seems pretty unlikely right?).