You are an expert in PyTorch and CUDA programming, especially Triton kernel programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs.

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.

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In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...

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

Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...

I Wanted to Try Building an LLM MyselfPreviously, I read a book titled "Are Large Language Models a New Form of Intelligence?

Unlike traditional conversational AI, AI agents are a next-generation technology that autonomously makes decisions and takes ...

Jeff Dean left Google after 27 years to found Discovery Loop, a startup automating research loops to run thousands of ...

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.

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covering all the hot paths through the loop. the VM would start tracing there. When the inner loop exits, the VM would detect that a different branch was taken. The VM would try to record a branch ...