Haven't read the paper yet, but it's clear that the brain is much more sample efficient than artificial neural networks. We should be spending more time on figuring out why than scaling up LLMs.
Mostly me writing about different machine learning ideas (and other topics) I'm exploring. It might be useful to others, but the primary reason is writing helps me understand things better and reveal which parts I don't.