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AI Models Learn by Generating and Solving Their Own Coding Problems

AI Models Learn by Generating and Solving Their Own Coding Problems
Researchers from Tsinghua University, the Beijing Institute for General Artificial Intelligence, and Pennsylvania State University have created a system that lets large language models pose challenging Python coding problems for themselves, solve them, and use the outcomes to improve. The approach, called Absolute Zero Reasoner, showed notable gains in coding and reasoning abilities for open‑source models and suggests a new path toward more autonomous AI learning. Leia mais →

Chinese Photonic AI Chips Claim Massive Speed Gains Over Nvidia GPUs

Chinese Photonic AI Chips Claim Massive Speed Gains Over Nvidia GPUs
Researchers in China have unveiled photonic AI chips that reportedly outperform conventional Nvidia GPUs by up to 100 times on narrowly defined generative tasks. The hybrid ACCEL system combines optical and analog electronic components, while the all‑optical LightGen chip contains more than two million photonic neurons. Both platforms claim dramatic improvements in speed and energy efficiency for image‑related workloads, though they are targeted at specialized applications rather than general‑purpose computing. Leia mais →