Qwen 3.8 27B on a laptop can interpret neural network weights too
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In “Sparks of Weight-Space Programming,” Takehi, Teoh, Zhang, and Khattab report that frontier models such as GPT-6 Astra can read and edit raw weight strings. Simon Willison says Qwen 3.8 27B on his laptop matches that ability; the paper cites Astra lifting Qwen3.5-0.8B’s MATH-500 from 7.9% to 48.1% after changing 0.016% of weights.
Continue in the app — vote & join in ➔Source: Simon Willison (AI) · via ahirlevel.hu