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Researchers demonstrate that the Astra model can natively read and write neural network weights to improve other models. By editing 0.016% of Qwen3.5-0.8B weights, they raise its MATH-500 score from 7.9% to 48.1% and boost IFEval by 3x without using gradients.
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