MIT research enables GPT-6 Astra to directly modify Qwen3.5-0.8B weights without training, improving mathematical performance
MIT CSAIL researchers demonstrated a method called Weight-Space Programming that allows GPT-6 Astra to read and write neural network weights without training or gradients.
Continue looking at this topic
Related contentWhat is Qwen? Choosing between cloud interfaces and local models ↗Hotly discussed viewsToo abstract. Vice President of Alibaba Group and CEO of Qwen Office, Chen Yusen, will appear in Li Jiaqi's livestream tonight to sell his own A... ↗News and AnalysisJoe Tsai of Alibaba: Open source is the only way to advance AI adoption; Qwen open models now exceed 470 versions ↗Return to original text
A short introduction is retained here; the full text from the source website is not reposted. For specific wording and subsequent updates, please refer to the original article.
Open AIHOT original