"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...
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 ...
Machine learning is often used to predict future values from data. But what if, instead of just predictions, you could ...
Researchers have released bryne, an open-source Python framework built on DUNE-FEM that turns rapid finite element prototypes into reusable, metadata-rich and reproducible multiphysics simulations.
Why some tables should never exist: how a data engine cuts copies, memory use, and wasted CPU, from node-to-node access to ...
The everyday technology we use in the 21st century didn't just show up overnight — the origins of many can be traced to ...
Unlock the transformative power of self-programming with our comprehensive guide on "I 'Program' Myself" — a strategic, ...
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 ...
Researchers combined rapid freeze–thaw testing, CT scanning and finite element simulation to track mesoscale damage in ...
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.
Programming ideas, performance claims and engineering tradeoffs explored through reproducible experiments. - fabdonati/onceinaruntime ...
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 ...
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