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by Robotbeat 1190 days ago
Well it’s not quite that simple. Brains use spiking neural networks, not the kind used typically in artificial neural networks like those used by LLMs. The “weights” can be changed over time, new connections and even new neurons formed. And the number of connections (“weights”) is about 500-1000x more in our brain than GPT-3. The connection topography is a lot different.

But ultimately, our brains are still just made of neurons. As far as we know, there isn’t some sort of extreme molecular computing going on (ie memories directly stored in RNA or whatever) or any large scale quantum mechanics (temperature too high).

The differences between AI approaches like artificial neural networks and our animal meat brains could be just the difference between a propeller and flapping wings. Same base mechanics (airfoil producing lift as thrust), different substantiation.

1 comments

Do you consider that every neuron in the brain has unique DNA and ancestorship ?
It seems no. Those are facts - whoever argue with facts (parent still downvoted?).. is an idiot.

https://www.scientificamerican.com/article/scientists-surpri...

https://www.science.org/doi/10.1126/science.aab1785 - Somatic mutation in single human neurons tracks developmental and transcriptional history

(good luck simulating that)