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To Make Language Models Work Better, Researchers Sidestep Language

We insist that large language models repeatedly translate their mathematical processes into words. There may be a better way.

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‘Paraparticles’ Would Be a Third Kingdom of Quantum Particle

A new proposal makes the case that paraparticles — a new category of quantum particle — could be created in exotic materials.

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Where Does Meaning Live in a Sentence? Math Might Tell Us.

The mathematician Tai-Danae Bradley is using category theory to try to understand both human and AI-generated language.

Intelligence Evolved at Least Twice in Vertebrate Animals

Complex neural pathways likely arose independently in birds and mammals, suggesting that vertebrates evolved intelligence multiple times.

How a Problem About Pigeons Powers Complexity Theory

When pigeons outnumber pigeonholes, some birds must double up. This obvious statement — and its inverse — have deep connections to many areas of math and computer science.

A New Proof Smooths Out the Math of Melting

A powerful mathematical technique is used to model melting ice and other phenomena. But it has long been imperiled by certain “nightmare scenarios.” A new proof has removed that obstacle.

The High Cost of Quantum Randomness Is Dropping

Randomness is essential to some research, but it’s always been prohibitively complicated. Now, we can use “pseudorandomness” instead.

The Mysterious Flow of Fluid in the Brain

A popular hypothesis for how the brain clears molecular waste, which may help explain why sleep feels refreshing, is a subject of debate.

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Why Some People Don’t ‘See’ Mental Imagery: Aphantasia

Christopher W. Young/Quanta Magazine

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The Thought Experiments That Fray the Fabric of Space-Time

These three imagined scenarios lead many physicists to doubt that space-time is fundamental.

The Joy of Why


00:00 / 38:47

Despite the hype, it’s been surprisingly challenging to find quantum algorithms that outperform classical ones. In this episode, Ewin Tang discusses her pioneering work in “dequantizing” quantum algorithms — and what it means for the future of quantum computing.

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