Could real neurons be used for LLMs? (lemm.ee)

submitted 7 months ago by flashgnash@lemm.ee to c/asklemmy@lemmy.ml

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There's a video on YouTube where someone has managed to train a network of rat neurons to play doom, the way they did it seems reminiscent of how we train ML models

I am under the impression from the video that real neurons are a lot better at learning than simulated ones (and much less power demanding)

Could any ML problems, such as natural language generation be solved using neurons instead and would that be in any way practical?

Ethically at this point is this neuron array considered conscious in any way?

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[-] themusicman@lemmy.world 6 points 7 months ago

First time I've come across the Chinese Room, but it's pretty obviously flawed. It's not hard to see that collectively the contents of the room may understand Chinese in both scenarios. The argument boils down to "it's not true understanding unless some component part understands it on its own" which is rubbish - you can't expect to still understand a language after removing part of your brain

[-] teawrecks@sopuli.xyz 1 points 7 months ago

Hah, tbh, I didn't realize it was originally formulated to argue against consciousness in the room. When I originally heard it it was presented as a proper thought problem with no "right" answer. So I honestly remembered it as a sort of illustration of the illusion that is consciousness. But it's been a while since I've discussed it with others, mostly I've just thought about it in the context of recent AI advancements.

this post was submitted on 08 Apr 2024

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