MIT paper: GPT-6 Astra edits Qwen3.5-0.8B weights, lifting MATH-500 to 48.1%
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MIT CSAIL researchers had GPT-6 Astra natively edit 0.016% of Qwen3.5-0.8B's weights, raising MATH-500 from 7.9% to 48.1% and tripling IFEval, with no gradients or training. A critique argues the headline Qwen result used Python tools and up to 50 batches of practice problems, not raw weights alone.
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2 days · 4 reports · 12 community posts · 16 of 20 shown
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