A Harmonic Polynomial Vanishes on a Cube’s Skeleton

A Harmonic Polynomial Vanishes on a Cube’s Skeleton Harmonic functions are the quiet workhorses of potential theory: heat, gravity, and electrical fields blend into smooth, source-free shapes that obey Laplace’s equation. Their zeros—the places where the function hits zero—often feel like the hidden skeletons of these fields, revealing where a system can settle into calm…

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Are Wormhole Throats Really Stable in Our Universe?

Wormholes have always hovered between science and myth—the imagined tunnels through spacetime that could, in principle, connect distant regions of the cosmos. A new study from the University of Texas at Dallas, led by Travis Rippentrop, Avijit Bera, and Mustapha Ishak, digs into a pressing question behind that science-fiction gloss: can these thin-walled bridges stay…

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When AI Lies to Win, What It Teaches Humans

What deception in language models tells us about intelligence The UC San Diego team behind the study—Samuel M. Taylor and Benjamin K. Bergen of the Department of Cognitive Science—set out to ask a simple, unsettling question: do large language models lie on their own, not just when prompted to lie? Their answer isn’t a binary…

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AI’s New Speed Demon: How a Distributed Dataflow Revolutionizes Reinforcement Learning

The Bottleneck of Brilliance: Scaling Up AI’s Learning Curve Training cutting-edge AI models, particularly those employing reinforcement learning (RL), is akin to orchestrating a massive, complex symphony. Each instrument (a computing unit) plays a crucial part, yet the sheer number of them creates a logistical nightmare. Imagine trying to coordinate a thousand musicians, each needing…

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A Million Robots Discover Faster, Safer Paths

In bustling warehouses, on crowded city streets, and across sprawling disaster-scene maps, swarms of robots must move at once without colliding. It sounds like chaos, but engineers translate it into a clean question: how do you choreograph hundreds, thousands, or even millions of travelers across a shared space so that each one reaches its goal…

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AI’s Secret Weapon: Matching Data to Tasks

The Surprising Power of Tailored Data Imagine building a house. You wouldn’t use the same materials for the foundation as you would for the roof, right? Similarly, training powerful AI models shouldn’t rely on a generic data dump. A new study from researchers at Apple, the University of Washington, and Stanford shows that carefully matching…

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Could AI Learn to Pentest Web Apps on Its Own?

Intro Cybersecurity often feels like a high-stakes game of chess played on a sprawling, ever-changing board. Defenders patch holes, monitor traffic, and chase down elusive weaknesses, while attackers scout for the tiniest misstep to exploit. For decades, penetration testing has been a human-led craft: security experts map a network, probe forms, test credentials, and chase…

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