This latest AI/ML project is attempting to model and simulate the self-organizing principles in the brain. We think of the brain as efficient from a power perspective but that's mainly because of electrochemistry. The numbers of neurons and connections is astronomical so a direct simulation is not promising. The big question is can components of the brain be identified and implemented in such a way that those numbers become reasonable while retaining the magical non-linearity?
Discussion
It's amazing how much it computes without over heating. One reason nostr was made was as a frictionless environment for micro processes similar to neurons. It's a rich playground for experimentation, especially when you add lightning etc. which is like digital energy.
Thought it might be interesting to use a relay as a data store. It'd be kind of cool if I could treat a relay as an sql backend, importing a schema and going from there. For the trade-off of publicity and yeah a little buzz, I'd accept some query limitations.
Likely not to be a great idea. Relays were designed to send notes from one user to another. For data stores imho better to use #nip98 which is why I made nosdav. I'll add some back ends such as mongo and postgres for fast queries, possibly behind passport-nostr middleware
One other thing I learned relating to the heat factor is that a lot of what the brain is doing in early development is automating expensive processes it learned. Keeping this in mind, it makes sense to create a microeconomy in the model where things like building links has a cost.