Audit of MIT Weight-Space Programming paper: results hold, safety concerns remain
MIT CSAIL's paper on GPT-6 Astra editing another model's weights was audited by former OpenAI researcher Solomon Mg, who found the core results hold and it is not RSI, though the safety concerns it raises are genuine and some issues remain.
2026-11-04 ~ 2026-11-04 · 2 related posts
- Episode 1: MIT's Weight-Space Programming: GPT-6 Edits Small Model Weights for 6x Math Gains(2026-11-03, 141 posts)
- Episode 2: LLMs Editing Model Weights: From Survey to Self-Editing Experiments(2026-11-03, 5 posts)
- Episode 3: Editing 0.016% of weights fixes Qwen reasoning loops, lifting MATH-500 to 48.1%(2026-11-03, 2 posts)
- Episode 4: AI Figures Debate Models Editing Their Own Weights: RSI Risk and Backprop-Free Training Speculation(2026-11-03, 5 posts)
- Episode 5: Audit of MIT Weight-Space Programming paper: results hold, safety concerns remain(2026-11-04, 2 posts)
- Honesty.Tools audits MIT CSAIL's weight-editing paper: headline result holds, but did the models actually read the weights? — kevrussell · 2026-11-04
- Auditor says viral weight-editing paper overhyped but safety concerns are real — RichmanRonald · 2026-11-04