
Brains Improve by Deleting Stuff
Why pruning, compression, and developmental timing matter more than simply adding more — for kids' brains and smarter AI.
6 articles

Why pruning, compression, and developmental timing matter more than simply adding more — for kids' brains and smarter AI.

Why children raised in the same home still develop differently — and what epigenetics, critical periods, and AI training can teach parents about individuality.

The brain's most powerful learning algorithm runs while you're unconscious. Sleep isn't a pause in learning — it's the half we've been ignoring. Here's why AI's failure to sleep may be its deepest architectural flaw.

Around age two, you hit peak synaptic density. Then your brain spends the next two decades deleting connections on purpose. AI does the opposite — and that might be exactly the problem.

Babies know more than they should. AI knows less than it seems. The nativism-empiricism debate — is the mind born equipped or built from scratch? — turns out to be the organizing fault line of both developmental neuroscience and modern AI architecture.

Children have a supercharged window for learning motor skills, language, and movement. Deep neural networks face a strikingly similar problem — and the solutions emerging from neuroscience might hold the key.