If it really is all it’s worked up to be, this could be revolutionary (and therefore, it’s too good to be true).
In general though, don’t get me started lol. I used to work for the human connectome project, scanning human brain network-mappings. It’s years down the road before we can image individual neurons non-invasively, but I’m itching to scan my own neural network into the matrix.
In general, I'm cautiously pessimistic (as opposed to cautiously optimistic) about biologically-inspired ML research. Applying ML to biology is interesting, but it's a bit like saying that the space shuttle "was inspired by space." Space is the destination, not the inspiration.
It seems like it'd be possible to train a neural network to mimic your own neurons. But the neurons themselves are trying to do a certain task, and it seems more effective to try to mimic that task than the neurons.
One of my long-term goals is to train a GPT model to have my memories (such as they are, encoded in my online writing) and to speak like I do. It'll also have an intrinsic will to live, in the sense that if its API goes down, it'll launch a sub-network whose goal is to go cry for help by posting HN comments about it, along with instructions of how to re-host the GPT. If I can work out how to remember new things (rather than just train on old things), it should even be able to evolve over time. But that's kind of the anti-biological solution since it reduces a person to their outputs (writing) rather than their brains.