🚨 What if the brain and machines reasoned the same way?

👉 Classic AI systems (like machine learning or generative models), are systems that need to train with data. After practice comes learning. But what is the difference with the brain?

👉 The human brain has two learning systems: a bottom-up system and a top-down system. The bottom-up system takes data from the outside (bottom) to bring it back to the brain (up). The brain will train thanks to this. The top-down system is a Bayesian system that makes assumptions about the world and corrects our potential predictions. For example, if I learned that birds can fly and I come across an ostrich, I will assume that bird flies. Seeing that I am wrong, I will modify my hypothesis of the birds to adapt it to reality. This is the strength and difference of the human brain vis-à-vis the machine.