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this post was submitted on 03 Nov 2026
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FWIW I always felt my contribution would have been towards "real" AI rather than the current pseudo-AI stuff that is all the rage. In addition to being a programmer, I also have a background in evolutionary biology and neuroanatomy. The "neural networks" that are part of current AI were originally based on the understanding of how neurons function that existed in the 1970s, and they were (and are still) a poor implementation of that level of knowledge. IMHO true AI can be achieved by more accurate simulation of how real neurons and real neural networks function and how they have come about in the real world through hundreds of millions of years of evolution by natural selection.
That being said, "real" AI is probably going to be even worse for humanity than this current stuff is, so at least I'm glad that blood won't be on my hands.
I really don't understand this perspective, and it's my biggest gripe with Chollet and his ilk as well. What, in your opinion, makes neuro-symbolic AI inherently superior to (the currently better performing) statistical methods?