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The MIT CSAIL team has proposed a "weight-space programming" method that enables GPT-6 Astra to directly read and modify ...
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.
Unlock the transformative power of self-programming with our comprehensive guide on "I 'Program' Myself" — a strategic, ...
MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...
GPT-6 Astra was used by MIT researchers to edit a small part of Alibaba’s Qwen model, improving maths scores without ...
Astra identifies game policies from raw weight matrices and fixes reasoning loops in Qwen3.5-0.8B by editing 0.016% of parameters, lifting MATH-500 scores from 7.9% to 48.1% without training loops.
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 ...
A new MIT CSAIL blog post is making the rounds in AI circles this week, and it describes something that sounds almost ...
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Baseten announced on November 5, 2026 that it has joined the NVIDIA Nemotron Coalition, contributing insights from enterprise ...