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https://arxiv.org/abs/2504.08637
Biological neurons are capable of complex computation, but as shown by this research, biological neural networks mostly don’t utilize this capability. This means that real biological neurons can be approximated effectively using simple calculations, i.e., artificial neural networks. This challenges the long-held belief that artificial neural networks are inherently different from biological networks, and that the difference might just be in substrate and not in function. This shows that AI could theoretically approximate human brains, meaning that there is no inherent functional limitation keeping AI from reaching human-level intelligence.
submitted by /u/PianistWinter8293
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