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.

MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...

A new MIT CSAIL blog post is making the rounds in AI circles this week, and it describes something that sounds almost ...

do-math is a multi-agent management system that provides governance for autonomous mathematical research. It consists of instruction documents that direct agent behavior and a Python program, the ...

MIT CSAIL finds GPT-6 Astra can read and write neural weights directly, fixing Qwen3.5-0.8B math from 7.9% to 48.1% with a 0.016% edit and no gradients.

🛡️ BFIT-NETRA Master Project Dossier: For an all-in-one breakdown covering project introduction, purpose, USP, tech stack, model zoo, training purpose, and blockchain provenance, see NETRA.md. 📘 ...

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