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GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.

2.3 Application of the framework and principles Subsequently, we started with a basic prompt that only contains the context and instructions, gradually enriching the structural framework of our ...

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Conclusion: The 0.016% weight edit fixed "premature termination due to thinking loops," and even unedited models can reach an ...

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It might say "If there's traffic on Main Street, take the highway instead. If construction is blocking the highway, try the scenic route." Programs use exactly the same type of conditional logic to ...

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MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...