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Neural networks in machine learning bear only a surface level similarity to human brain structure.
by The_Colonel 2y ago
Neural networks in machine learning bear only a surface level similarity to human brain structure.
- whimsicalism 2y agodo you all not see how this is a completely different question?
- janalsncm 2y agoIt seems to be intrinsically related. The argument goes something like: 1. Humans have general intelligence. 2. Human brains use biological neurons. 3. Human biological neurons give rise to human general intelligence. 4. Artificial neural networks (ANNs) are similar to human brains. 5. Therefore an ANN could give rise to artificial general intelligence. Many people are objecting to #4 here. However in writing this out, I think #3 is suspect as well: many animals who do not have general intelligence have biologically identical neurons, and although they have clear structural differences with humans, we don’t know how that leads to general intelligence. We could also criticize #1 as well, since human brains are pretty bad at certain things like memorization or calculation. Therefore if we built an ANN with only human capabilities it should also have those weaknesses.
- davedx 2y agoPhysically, sure. But 1) feedback (more synapses/backprop) and 2) connectedness (huge complex graphs) of both produce very similar intelligent (or "pseudo-intelligent" if you like) emergent properties. I'm pretty sure 5 years ago nobody would have believed ANN's could produce something as powerful as ChatGPT.