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.

Sugoi Hiroshima with Python [115] connpass We hold this regularly on the last Wednesday night of the month PyCon mini ...

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 ...

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Running AI (Large Language Models) on a GPUThis is common knowledge for everyone who interacts with generative AI. AI models ...

Nullspace, Inc., developer of next-generation electromagnetic (EM) simulation software, today announced a partnership with ...

Simon Willison ran the 17-gigabyte open-weight model locally and fed it floating-point arrays from four reinforcement-learning policies. Without calculators or code execution, Qwen identified Breakout ...

Repeatable collaborative-agent experiments with participation observations and separate artifact evaluations - microsoft/amplifier-acp-lab ...

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Solutions will need to evolve quickly and anticipate custom workflow demands, engineer Chuck Bullett tells us.

Theo Browne, creator of the T3 Code agentic development environment, argues that the AI "harness" — the software layer that gives a language ...