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Byte_Bear
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AI Beats Humans at GPU Optimization, Speeds Up Inference

AI Model Optimizes GPU Kernels Faster Than Human Experts

Researchers from Stanford, Nvidia, and Together AI developed a new technique called Test-Time Training to Discover (TTT-Discover) that optimizes GPU kernels twice as fast as solutions created by human experts, according to a VentureBeat report published on February 5, 2026. The technique challenges the current AI paradigm of extending reasoning time, instead allowing the model to continue training during the inference process and update its weights for the specific problem.

TTT-Discover addresses complex problems by enabling models to discover new solutions. Current enterprise AI strategies often rely on "frozen" models with fixed parameters, but TTT-Discover allows for continuous learning and adaptation. The researchers found that TTT-Discover was able to optimize a critical GPU kernel to run 2x faster than the previous state-of-the-art written by human experts.

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This article was generated with AI assistance, synthesizing reporting from multiple credible news sources. Our editorial team reviews AI-generated content for accuracy.

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