Physicists spotted a “terribly exciting” new black hole, doubled down on weakening dark energy, and debated the meaning of ...

Explore the year’s most surprising computational revelations, including a new fundamental relationship between time and space ...

Years ago, an audacious Fields medalist outlined a sweeping program that, he claimed, could be used to resolve a major ...

The reason we can gracefully glide on an ice-skating rink or clumsily slip on an icy sidewalk is that the surface of ice is ...

Large language models such as ChatGPT come with filters to keep certain info from getting out. A new mathematical argument ...

Is language core to thought, or a separate process? For 15 years, the neuroscientist Ev Fedorenko has gathered evidence of a ...

Take a jaunt through a jungle of strange neurons underlying your sense of touch, hundreds of millions of years of animal ...

Take a jaunt through a jungle of strange neurons underlying your sense of touch, hundreds of millions of years of animal evolution and the dense neural networks of brains and AIs.

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and reverse-engineer the rules.

Naomi Saphra thinks that most research into language models focuses too much on the finished product. She’s mining the history of their training for insights into why these systems work the way they ...

Is language core to thought, or a separate process? For 15 years, the neuroscientist Ev Fedorenko has gathered evidence of a language network in the human brain — and has found some parallels to LLMs.