In this note, for those of you who have studied FX but cannot find the time to keep watching the charts every day, I will ...
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 ...
"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...
Researchers introduced Eulerian Parameter Inference, a change-of-variables method that calibrates simulation models to highly ...
A staged reliability framework reveals how parameter uncertainty drives failure risks in composite open-pit mine slopes ...
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 ...
Unlock the transformative power of self-programming with our comprehensive guide on "I 'Program' Myself" — a strategic, ...
Programming ideas, performance claims and engineering tradeoffs explored through reproducible experiments. - fabdonati/onceinaruntime ...
I developed a geospatial machine-learning workflow to identify oil and gas wells that may be orphaned, using well records collected across the United States. The purpose was to help researchers ...
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.
As AI capital spending tops $730 billion and investors sour on tech cash flows, the question of how anyone proves an AI system actually works ...
Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...
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