Neural networks

AI may sound like a human, but that doesn’t mean that AI learns like a human. In this episode, Ellie Pavlick explains why understanding how LLMs can process language could unlock deeper insights into both AI and the human mind.

An exploration of how artificial intelligence is changing what it means to do science and math, and what it means to be a scientist.

AI researchers are using techniques inspired by neuroscience to study how language models work — and to reveal how perplexing they can be.

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions.

Researchers in “natural language processing” tried to tame human language. Then came the transformer.

A simple primer to the 19 most important concepts in artificial intelligence.

The brain’s astounding cellular diversity and networked complexity could show how to make AI better.

Modern thinking machines owe their existence to insights from the physics of complex materials.

We insist that large language models repeatedly translate their mathematical processes into words. There may be a better way.