Machine learning is often used to predict future values from data. But what if, instead of just predictions, you could ...
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.
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 ...
"To improve an AI model's intelligence, you have no choice but to prepare massive amounts of data and GPUs, and run ...
Unlock the transformative power of self-programming with our comprehensive guide on "I 'Program' Myself" — a strategic, ...
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.
The MIT CSAIL team has proposed a "weight-space programming" method that enables GPT-6 Astra to directly read and modify ...
Gas capacity in ERCOT's interconnection queue is up 85.5% in a year, an AI agent's analysis of public data finds. Jason ...
Claude Code forgets past sessions. Discover how a three-layer memory system preserves decisions, mistakes, and context using Python and Markdown.
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