AI modifies Qwen’s weights and improves its math performance

Can one AI improve another without retraining it? An MIT experiment shows how GPT-6 Astra modified a small portion of Qwen3.5-0.8B’s weights and improved its math performance.

We explain what it means to intervene directly in a model’s parameters, why this result does not demonstrate recursive self-improvement in the strict sense, and what possibilities and risks it raises. The improvement has not been quantified, and its effects on other tasks remain an open question.

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🤖 AI-generated content: the script, voices, and images in this episode were produced using artificial intelligence tools.

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