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New Research Tests Whether AI Models Know Their Own Thoughts
By injecting “thoughts” directly into large language models, researchers are trying to map out AI’s capacity for introspection.
He Wants AI Benchmarking To Be a Science, Not a Dark Art
Moritz Hardt, author of a new book on benchmarks, believes these “standardized tests” for artificial intelligence are fundamentally broken — but not unfixable.
Is ‘Attention’ the Essence of Intelligence?
A mathematical mechanism enables AI models to process language at scale, undergirding the current AI revolution. Our columnist asks: Why is attention the key?
As AI Closed In on ‘Unique Games’ Proof, Researchers Raced to Beat the Machines
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.
The Four-Color Theorem Gets a Rare New Proof
By revisiting the famous problem — which was controversially solved in the 1970s with the help of computers — mathematicians have gained important new insights into the nature of graphs.
Live from ICM 2026: What Is Math For in the Age of AI?
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?
Does Computer Science Need Computers?
The theoretical side of the field doesn’t require computing machines. But many questions would never have been posed without them.
Are We Thinking Correctly About AI Intelligence?
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.
Building a Quantum Computer, One Fragile Qubit at a Time
No one yet knows which technology will power the quantum computers of the future, but the race to create them has already produced some of science’s most intricate machinery.