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@yoonholeee
Final-year ML PhD @StanfordAILab, prev @Google. Working on text optimization (Meta-Harness, WHALE, ScholarCatalyst, Feedback Descent...)
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The reported MATH-500 score rose from 7.9% to 48.1% with the same sampling settings.
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Laude Institute says the batch spans self-improving agent systems, maximally-open models and training data, and kernels.
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The speaker said the October 20 talk was set for 10:15 a.m. ET.
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Author Nathan Benaich cites an Anthropic index and argues robotics is nearing a “GPT-2 moment.”
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Lee, CAIO at KRAFTON, links to arXiv paper on joint harness-weight training.