Artificial intelligence

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

Explore the year’s most surprising computational revelations, including a new fundamental relationship between time and space, an undergraduate who overthrew a 40-year-old conjecture, and the unexpectedly effortless triggers that can turn AI evil.

Large language models such as ChatGPT come with filters to keep certain info from getting out. A new mathematical argument shows that systems like this can never be completely safe.

If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?

The V-JEPA system uses ordinary videos to understand the physics of the real world.

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 do.

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

You’re carrying around in your head a model of how the world works. Will AI systems need to do the same?

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side.