Can AI Fix Another AI's Brain? MIT Researchers Use GPT-6 Astra to Boost Qwen's Maths Skills
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Can AI fix another AI's brain? MIT researchers use GPT-6 Astra to boost Qwen's maths skills
What happens when one AI tries to fix another? MIT researchers used OpenAI's GPT-6 Astra to modify Alibaba's Qwen AI model directly, boosting its maths scores without retraining it.
MIT researchers have tasked the OpenAI model to correct the shortcomings of Chinese Qwen. The AI independently found the cause of the failures and changed the parameters of the neural network without additional training.
Four MIT researchers say that GPT-6 Astra can directly read and modify the parameters of other d的IA models. What can be done to correct an IA without retraining it? "LLMs can read and write natively the weights of the neural networks." It is on this statement that the blog post published on the 2nd of May is opened.
MIT Researchers Show GPT-6 Astra Can Rewrite Another AI's Brain Without Training It
Qwen3.5-0.8B, a small open-weight model from Alibaba, also saw GSM8K accuracy rise from 13.8% to 67.1% and IFEval from 21.0% to 62.3%. The researchers call the result early "sparks" of a capability, and it has not yet been tested on larger models.
A team of researchers from MIT CSAIL states that a border LLM can directly interpret and modify neural weights, without resorting to traditional training. In a Qwen3.5-0.8B test, an edition of just 0.016% of the parameters coincided with marked improvements in mathematics and instruction follow-up, although other experiments show that the method still has important limits. *** The authors report that GPT-6 Astra identified network behaviors from…
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