GPT-6 Astra edits a small model’s weights, pointing to AI debugging
Quick take Qwen’s weak MATH-500 performance was attributed primarily to repetitive “thinking” loops that consumed its output limit, rather than an inability to reason mathematically. Astra’s intervention was concentrated in two tensors, while the experiment involved tools, hypothesis testing, valid…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-11-12 14:06 · DEV Community — Machine Learning
GPT-6 Astra edits a small model’s weights, pointing to AI debugging