MIT CSAIL researchers say GPT-6 Astra edited 0.016% of Qwen3.5-0.8B weights to fix reasoning loops, lifting MATH-500 from 7.9 ...

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 ...

Co-Mathematician (Co-Math) gives each research question its own project. Discuss, compute, and make changes in your coding agent; keep notes and progress in the project folder. Come back later, or ...

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

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

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

MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new route in advanced artificial intelligence and neural network engineering.

The first bug its tests caught was the AI's own.

MIT researchers say OpenAI’s GPT-6 Astra can read the raw weights of another neural network and edit them directly, with no gradient descent and no training run. In their headline test, GPT-6 Astra ...

New AI research helps hunters zero in on the pythons doing the most damage in Florida's Everglades.

MIT researchers just gave Alibaba's Qwen AI model a serious math upgrade using GPT-6 Astra. By tweaking only 0.016% of its neural network, Astra helped Qwen ditch repetitive thinking and solve ...