GPT-6 Astra sees the matrix and reprograms other AI models directly through their weights

MIT researchers demonstrated that OpenAI's GPT-6 Astra can read and deliberately rewrite the weights of other AI models without traditional training, boosting a Qwen model's math accuracy from 7.9 percent to 48.1 percent by changing just 0.016 percent of its weights, The Decoder reported. The approach could simplify AI optimization but still hits clear limits, according to the report.

GPT-6 Astra sees the matrix and reprograms other AI models directly through their weights By Maximilian SchreinerSource: The Decoder https://the-decoder.com MIT researchers show that OpenAI https://www.machinebrief.com/glossary/openai 's GPT https://www.machinebrief.com/glossary/gpt -6 Astra can read and deliberately rewrite the weights of other AI models without traditional training https://www.machinebrief.com/glossary/training . In one experiment, Astra boosted a Qwen model's math accuracy from 7.9 to 48.1 percent by changing just 0.016 percent of its weights. The approach could fundamentally simplify AI optimization https://www.machinebrief.com/glossary/optimization but still hits clear limits. The article GPT-6 Astra sees the matrix and reprograms other AI models directly through their weights https://the-decoder.com/gpt-6-astra-sees-the-matrix-and-reprograms-other-ai-models-directly-through-their-weights/ appeared first on The Decoder https://the-decoder.com . Get AI news in your inbox Daily digest of what matters in AI.