MIT CSAIL

Blogger Nathan Barry analyzes MIT CSAIL's "weight-space programming" and finds that GPT-6 Astra's weight edit on Qwen3.5-0.8B was effectively solving a linear program by trial and error, taking about 8 hours and 28 forward passes. Two roughly one-minute LP solves achieve the same result with 8x fewer changed weights, suggesting the core mechanism can be reproduced efficiently by classical optimization and offering a direct reference for weight editing and gradient-free fine-tuning.