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Test-Time Training Beats Prompting on Closed Models for Science Discovery

Source
Stanford AI Lab
Date
Stanford AI Lab@StanfordAILab

Everyone can now discover new SOTA in science with a few hundred bucks! Test-Time Training + open model > prompt engineering + closed frontier model (Gemini, GPT-5), for discovery problems in Mathematics, Kernel Engineering, Algorithms and Biology. https://t.co/IIN67Abc9H https://t.co/WCwLP0HSKi

Why it matters

Test-time training on an open model outperformed prompt-engineered Gemini and GPT-5 on math, algorithm, kernel, and biology discovery tasks for a few hundred dollars, changing the cost calculus for AI-driven research.

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