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Natural language processing

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Tiny Language Models Come of Age

October 5, 2023

To better understand how neural networks learn to simulate writing, researchers trained simpler versions on synthetic children’s stories.

Q&A

Why Mathematical Proof Is a Social Compact

August 31, 2023

Number theorist Andrew Granville on what mathematics really is — and why objectivity is never quite within reach.

Secret Messages Can Hide in AI-Generated Media

May 18, 2023

In steganography, an ordinary message masks the presence of a secret communication. Humans can never do it perfectly, but a new study shows it’s possible for machines.

Chatbots Don’t Know What Stuff Isn’t

May 12, 2023

Today’s language models are more sophisticated than ever, but they still struggle with the concept of negation. That’s unlikely to change anytime soon.

A New Approach to Computation Reimagines Artificial Intelligence

April 13, 2023

By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently — than before.

The Unpredictable Abilities Emerging From Large AI Models

March 16, 2023

Large language models like ChatGPT are now big enough that they’ve started to display startling, unpredictable behaviors.

To Teach Computers Math, Researchers Merge AI Approaches

February 15, 2023

Large language models still struggle with basic reasoning tasks. Two new papers that apply machine learning to math provide a blueprint for how that could change.

Machines Learn Better if We Teach Them the Basics

February 1, 2023

A wave of research improves reinforcement learning algorithms by pre-training them as if they were human.

Researchers Gain New Understanding From Simple AI

April 14, 2022

Language processing programs are notoriously hard to interpret, but smaller versions can provide important insights into how they work.

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