6 articles
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.
Lina Chae·
Vygotsky noticed that children talk themselves through problems — and then stop. Chain-of-thought prompting in AI rediscovered the same trick decades later. Here's what the parallel reveals, and where it quietly falls apart.
Lina Chae·
The brain doesn't receive reality — it predicts it. What Piaget's infants and a context-limited transformer reveal about the architectural gap between biological and artificial intelligence.
Lina Chae·
A toddler generalizes 'dog' from 3 examples. AI needs millions. The reason might be that cognitive constraints — not capabilities — are what produce genuine abstraction.
Theo Kask·
During sleep, your hippocampus runs a selective replay of the day's experiences to wire memories into your neocortex. AI has a pale imitation. Here's how far apart the two actually are.
Theo Kask·
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.
Raf Delgado·
Neupiphany