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

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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[-] yelgo@lemmy.ca 5 points 7 months ago* (last edited 7 months ago)

Actually we do, the cerebellum is what the neural networks in LLMs were partially based off. It's essentially a huge collection of input/output modules that the other parts of the brain are wired into which preforms various computations. It also handles motor control for the body and figures out how to do this through reinforcement learning. (The way the reinforcement learning works is different to LLMs though because it's a biological process) So when you throw a ball, for example, various modules in the cerebellum take in inputs from the visual centers, arm muscles, etc and compute the outputs needed to produce the throwing motion to reach your target.

We also have the cerebrum though, which along with the rest of the brain is the magic voodoo that creates our consciousness and self awareness and we can't recreate with a computer.

this post was submitted on 08 Apr 2024
67 points (92.4% liked)

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