Issue 2026-11-03 · Industry · 研究 · 模型发布
Study questions LLMs' ability to read neural net weights
A paper says GPT-6 Astra can directly inspect and edit small-network weights, notably improving a 0.8B Qwen model's math. A critic argues human researchers could do the same tasks and that labeled input channels make the results far less superhuman than claimed.
Read original ↗- Study probes Qwen's 'Wait' reasoning loops
- User has Claude hand-edit Gemma neurons to tune Italian translation
- Community discusses Qwen 3.8 27B interpreting model weights
- User mines 16 years of city council notes with local Qwen model
- Open-source research proposes new sparse attention for ultra-long context