alt Hacker NewsOnly if you ignore almost every input and output that neurons have.
https://www.quantamagazine.org/ai-is-nothing-like-a-brain-an... https://pmc.ncbi.nlm.nih.gov/articles/PMC9665914/
This is why making more neuromorphic NNs is still an active area of research, although they typically all focus on another extremely simplified model (spiking neural networks).
I don't ignore anything. I just refuse to accept the magical thinking around biological machines that are our brains/bodies. There are inputs, there are outputs, there is hidden function.
And it seems that, given enough input/outputs/compute, it is possible to train the necessary function.
Details of how the building bricks look like (matmul, electromagnetism or quantum effects) are not that relevant in the broader picture.
What is missing right now, is the fact that the function in question changes over time in biomachines, while our LLMs are static at inference time.