GPT-6 Astra edits neural network weights

The author argues that recent findings showing frontier large language models directly reading and writing neural network weights are not superhuman or radically new. Analyzing examples such as identifying trained games from network weights and patching a Qwen model to fix looping behavior, the author contends that these tasks mirror standard, competent human machine learning workflows rather than signaling recursive self-improvement. Open article →