📄 Showing the "Simple" version — "Popular" is not ready yet. Add it to favorites to help prioritize it. Ask for the full read

The modern standard approach to AI training is like a child locked in a library: he remembers millions of books but doesn't know that fire burns and falling hurts. Our brain, built from carbon and other simple substances, works differently: first, the body explores the world through movements, touches, mistakes, and only then do words gain meaning.

Neuroscientists have identified five innate mechanisms of this 'grounded' cognition: spatial mapping, grasping, recognizing one's own actions — they are active even before speech. They are united by entropy, a measure of disorder that drives the brain to seek novelty, ordering the world. Infants distinguish their own actions from others' in the first months — this builds the sense of 'self' and empathy.

The takeaway for AI: it's pointless to stuff it with texts. A machine needs a body capable of falling and learning from its mistakes. Then physical intuition, imagination, social sense will emerge. This process, like the expansion of the universe, will open new horizons of understanding. The breakthrough will happen not in a data library, but on a robot playground where they'll get bumps and bruises.