Sublime

brains are already organized and knowledgeable.

However, one of its obvious shortcomings is that it is totally lacking in precision.

The deeper our brain processes information, the better we can remember.

The theory precisely explains how to update our beliefs after each observation.

Learning requires two structures: an immense set of potential models and an efficient algorithm to adjust them to reality.

They incorporate, in their very architecture, a strong hypothesis: what I learn in one place can be generalized everywhere else.

In this view, learning becomes similar to programming: it consists of selecting the simplest internal formula that fits the data, among all those available in the language of thought.

consolidation which happens in all domains: a shift from slow, conscious, and effortful processing to fast, unconscious, and automatic expertise.

For optimal learning, the brain must avoid any distraction.