AI’s TwIL-8B is an 8.8B open-weights reasoning model scoring 98.2 on MATH-500 and running locally in 4.98 GiB.

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

The MIT CSAIL team has proposed a "weight-space programming" method that enables GPT-6 Astra to directly read and modify ...

MIT researchers say GPT-6 Astra edited 0.016% of Qwen3.5-0.8B weights without training, fixing reasoning loops and lifting MATH-500 from 7.9% to 48.1%.

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 ...

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.

A Python script to audit and patch high-risk unary negation precedence bugs in Excel formulas. - dfrykberg/excel-unary-negation-fix ...

Machine learning is often used to predict future values from data. But what if, instead of just predictions, you could ...

DEMATELab is a new open-source Python application that unites classical, fuzzy, grey and Z-number DEMATEL analysis with ...

That is the basic idea behind bond pricing. A bond is a promise of future payments, and to know what that promise is worth ...

Hello, this is Suginoki.This time, I will look back on the Python 3 Certified Data Analyst exam.For this exam, I couldn't ...