GPT-6 Astra reportedly edits another AI model's weights without retraining
GPT-6 Astra is claimed to modify only 0.016% of Qwen3.5-0.8B's weights without gradients or retraining, improving reasoning, math results, and instruction following.
GPT-6 Astra reportedly edits another AI model's weights without retraining
GPT-6 Astra is claimed to directly change the internal parameters of another neural network without computing gradients or performing additional training.
By modifying only 0.016% of Qwen3.5-0.8B's weights, Astra reportedly:
- eliminated reasoning loops;
- improved performance on mathematical tasks by up to six times;
- tripled the model's ability to follow instructions.
This suggests that AI may begin autonomously fixing other AI models by changing them from the inside.
Why it matters
AnalysisIf validated, weight-space programming could reduce reliance on fine-tuning and enable AI systems to self-correct or optimize other models.
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