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>> and that is that we understand (or we think we understand) how our brain/mind works. But the truth is that we don't know. And there's even not a single clue that we actually know too much, and not a clue that our brain/mind and cells work 'as the machines we build'.

>> I highly recommend people in the AI research space should read philosophy and modern linguistics.

I highly recommend the philosophers read some neuroscience. The whole "model weights" thing in AI is modeled after the synaptic connections and between actual neurons. There is already quite a bit known about how the brain works at a low level. There is also a lot that is still unknown. There are also differences between discrete neuron firing and weights as signals, but there is enough similarity to make artificial neural nets useful and do things similar to what real one do.

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> I highly recommend the philosophers read some neuroscience Philosophers do read neuroscience and technical reports on AI.

> The whole "model weights" thing in AI is modeled after the synaptic connections and between actual neurons In reality, it is a really poor and basic model of what is actually happening in a real brain

Brains and modern AI systems (LLMs for example) are structurally different. (Don't get confused by topology. A structure is more than topology: it is also what the structure is made of, thus the properties of the material contribute and define what can emerge atop the structure)

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