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AI one-percenters seizing power forever is the real doomsday scenario, warns AI godfather
(www.businessinsider.com)
this post was submitted on 30 Oct 2023
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That is literally modelling how your and all our brains work, so no, neuromorphic computing / approximate computing is still the way to go. It's just that neuromorphic computing does not necessarily equal LLMs. Paired with powerful mixed analogue and digital signal chips based on photonics, we will hopefully at some point be able to make neural networks that can scale the simulation of neurons and synapses to a level that is on par or even superior to thr human brain.
Neural networks have been phenomenal in the results they have achieved, out doing support vector machines, random trees, Markov models etc... But I do wonder if there is a bias towards it being able to mimick what the brain does like the other post said, and where are the limits.
For example in medicine, we want to spot unknown correlations to improve things like drug discovery, stratified medince, strange patterns in disease within a population that suggests unknown factors at play... There might be a mathematical model better that convolutional neural networks that doesn't mimick the brain, but we maybe need an ai to develop that, maybe like deep thought in hgttg!
Hgttg?
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