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 ...

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

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% to 48.1% without training.

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 ...

Data scientists, engineers, computer scientists, economists, and in general, professionals with a background in mathematical modeling and a basic knowledge of Python. Illustrate the broad ...

Gas capacity in ERCOT's interconnection queue is up 85.5% in a year, an AI agent's analysis of public data finds. Jason ...

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.

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

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