The last decade has seen vast improvements in humanoid robots, but graduating to widespread use might require going back to the fundamentals.

Our tales of AI developing the will to survive, commandeer resources, and manipulate people say more about us than they do about language models.

AI is being used to prove new results at a rapid pace. Mathematicians think this is just the beginning.

Landing a job as a CS grad is still possible with the right approach

One Steve to rule them all, One Steve to find them, One Bill to bring them all, and in the darkness bind them (or, the role of the 7400…

The idea that artificial intelligence can “reason” is more intuitive than ever. But intuitions can be wrong, and the science is far from settled.

Computer scientist Melanie Mitchell discusses why artificial intelligence doesn’t “think” or “reason” like humans, and how we can create better methods for measuring machine cognition.

In this special live recording from the International Congress of Mathematicians in Philadelphia, July 2026, the central question discussed was what do mathematicians really value about doing mathematics in the first place?

In the shadow of a rumored AI proof of one of the biggest problems in their field, three computer scientists rushed to publish their own milestone result.

A mathematical mechanism enables AI models to process language at scale, undergirding the current AI revolution. Our columnist asks: Why is attention the key?

Moritz Hardt, author of a new book on benchmarks, believes these “standardized tests” for artificial intelligence are fundamentally broken — but not unfixable.