Contribute to aliabbas0014/python-loops-electricity-bill-calculator development by creating an account on GitHub.
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.
Can an LLM write a neural network that IS a benefits formula, exactly? Weight-space programming experiments on SNAP, EITC, SSI, and Medicaid arithmetic. - ctrimm/weight-space-programming ...
Tsinghua's HarnessPro cuts AI coding agent costs 26% while boosting accuracy without model retraining. Factory Droid 1.0 ...
A new MIT CSAIL blog post is making the rounds in AI circles this week, and it describes something that sounds almost ...
Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...
Disruption rarely arrives from the direction an industry expects, and oftentimes, outside of the industry entirely.
Astra identifies game policies from raw weight matrices and fixes reasoning loops in Qwen3.5-0.8B by editing 0.016% of parameters, lifting MATH-500 scores from 7.9% to 48.1% without training loops.
Foundry in the real world: Turning LLM hunches into verified findings – Security Loop Series, Part 2
See how Foundry turns LLM hunches into verified findings on Langflow, MLflow, and PyGoat, using an evidence gate and an honest look at token cost.
Key Takeaways AI is moving beyond chat interfaces. Developers now build systems that use tools, retain context and take actions […] ...
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.
Isinulat ni: Shenchao TechFlowHindi kailangan ng pagtuturo, hindi kailangan ng data, hindi kailangan ng gradient ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results