This is a wide-ranging podcast interview (read the transcript) that really first well with today's topics of discussion. Gabriele Scheler talks about the relation between language and thought and the shortcomings of AI in this regard. The flow is informal and there are insights scattered throughout. Like this, for example: "The idea was the neuron has its connections to other neurons, and there's calculations going on in a network. You could call it a horizontal network for calculating information. Then on the other hand, the neuron has, as I said, 15,000 or up to 70,000 different proteins. They interact with each other in an internal signal network. There is a lot of-- There is the metabolic network, of course, which overlaps with it." When AI uses complex neurons like humans do - I wonder what will be the result.
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