MIT CSAIL Experiment: GPT-6 Astra Directly Interprets and Modifies Neural Network Weights

The MIT CSAIL team reports early experiments in which GPT-6 Astra can interpret and modify neural network weights without writing training loops. In one test on Qwen, the authors claim that small weight changes significantly improved math and instruction-following scores, but the results remain preliminary. The findings were published by Rikiya Takehi and colleagues and sparked 623 comments on Hacker News.