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MIT CSAIL researchers say GPT-6 Astra edited 0.016% of Qwen3.5-0.8B weights to fix reasoning loops, lifting MATH-500 from 7.9% to 48.1% without training.
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 ...
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.
"To improve an AI model's intelligence, you have no choice but to prepare massive amounts of data and GPUs, and run ...
Twine is a free, open-source dev tool for designing interactive fiction and text-based games. Turns out it's perfect for ...
The MIT CSAIL team has proposed a "weight-space programming" method that enables GPT-6 Astra to directly read and modify ...
Scores jumped without learningOn November 2, an experiment published on a research blog by a team at MIT (Massachusetts ...
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 ...
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I made Claude Code, Codex, and Antigravity build their own rivals, and one was in a different league
Why build an app when you can build the app that builds apps?
Explore the essential computer science skills needed to build a successful career, including programming, problem-solving, ...
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