When AI reasoning goes wrong: Microsoft Research shows more tokens can mean more problems
Not all AI scaling strategies are equal. Longer reasoning chains are not sign of higher intelligence. More compute isn’t always the answer.Read More
Here’s What Happened to Those SignalGate Messages
A lawsuit over the Trump administration’s infamous Houthi Signal group chat has revealed what steps departments took to preserve the messages—and how little they actually saved.
Explainable AI for ship navigation raises trust, decreases human error
A team has developed an explainable AI model for automatic collision avoidance between ships.
Programmable photonic chip uses light to accelerate AI training and cut energy use
Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough that could dramatically speed up AI training, reduce energy use and even pave the way for fully light-powered computers.
Amex GBT puts AI at the center of SOC automation, threat modeling, incident response
Amex GBT CISO David Levin is accelerating AI security, cutting false positives and speeding SOC response to anticipate and shut down threats.Read More
A Cybersecurity Professor Disappeared Amid an FBI Search. His Family Is ‘Determined to Fight’
The abrupt firing of Xiaofeng Wang and his wife from Indiana University last month shocked the academic community and is stoking fears that Chinese-born scholars are being targeted.
AI tool to better assess Parkinson’s disease, other movement disorders
A groundbreaking open-source computer program uses artificial intelligence to analyze videos of patients with Parkinson’s disease and other movement disorders. The tool, called VisionMD, helps doctors more accurately monitor subtle motor changes, improving patient care and advancing clinical research.
Over-training large language models may make them harder to fine-tune
A small team of AI researchers from Carnegie Mellon University, Stanford University, Harvard University and Princeton University, all in the U.S., has found that if large language models are over-trained, it might make them harder to fine-tune. In their paper posted on the arXiv preprint server, the group compared the impact of different amounts of …
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Beyond ARC-AGI: GAIA and the search for a real intelligence benchmark
GUEST: Intelligence is pervasive, yet its measurement seems subjective. At best, we approximate its measure through tests and benchmarks. Think of college entrance exams: Every year, countless students sign up, memorize test-prep tricks and sometimes walk away with perfect scores. Does a single number, say a 100%, mean those who got it share the sa…Read …
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FTC v. Meta Trial: The Future of Instagram and WhatsApp Is at Stake
The blockbuster antitrust case begins Monday. Its outcome could impact how Big Tech companies grow—but the government has a long way to go to prove its case.