Dongxi NLP Questions GPT-6 Astra's Weight Editing Method: Like an LLM's He Jiankui

Dongxi NLP questions the Weight-Space Programming proposed by Rikiya Takehi, arguing that the method has traces of activation steering: first find the activation direction corresponding to a certain tendency of the model, such as the loop problem of being unable to stop when solving problems, and then project out the corresponding components in the 128 columns of weights that write the most into that direction. He points out that evaluations such as MMLU-Pro, GPQA, and IFEval did indeed all improve, but these benchmarks were originally all affected by loops; once the loop is fixed, scores naturally improve across the board, and the real question is the side effects. The original post claims that GPT-6 Astra only changes 0.016% of Qwen3.5-0.8B's weights, improving math by up to 6x and instruction following by 3x, with no gradients or training required.