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What Makes for ‘Good’ Mathematics?
Terence Tao, who has been called the “Mozart of Mathematics,” wrote an essay in 2007 about the common ingredients in “good” mathematical research. In this episode, the Fields Medalist joins Steven Strogatz to revisit the topic.
New Theory Suggests Chatbots Can Understand Text
Far from being “stochastic parrots,” the biggest large language models seem to learn enough skills to understand the words they’re processing.
The Year in Computer Science
Artificial intelligence learned how to generate text and art better than ever before, while computer scientists developed algorithms that solved long-standing problems.
AI System Beats Chess Puzzles With ‘Artificial Brainstorming’
By bringing together disparate approaches, machines can reach a new level of creative problem-solving.
The Computing Pioneer Helping AI See
Alexei Efros has spent his career learning how machines see differently from humans. Now he’s helping to bridge the gap.
Tiny Language Models Come of Age
To better understand how neural networks learn to simulate writing, researchers trained simpler versions on synthetic children’s stories.
The Physical Process That Powers a New Type of Generative AI
Some modern image generators rely on the principles of diffusion to create images. Alternatives based on the process behind the distribution of charged particles may yield even better results.
Machine Learning Aids Classical Modeling of Quantum Systems
By using “classical shadows,” ordinary computers can beat quantum computers at the tricky task of understanding quantum behaviors.
Why Mathematical Proof Is a Social Compact
Number theorist Andrew Granville on what mathematics really is — and why objectivity is never quite within reach.