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

MIT researchers show that OpenAI's GPT-6 Astra can read and deliberately rewrite the weights of other AI models without traditional 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 but still hits clear limits. The article GPT-6 Astra sees the matrix and reprograms other AI models directly through their weights appeared first on The Decoder .
This is a short summary published by AI Global Wire. The full article is owned and hosted by The Decoder — open it there to read it in full.
Read the full story at The Decoder- OpenAI
- Verktyg
- Forskning
Related AI news
- Tencent releases Hy4, powerful frontier LLM introducing visual understanding and computer useSiliconANGLE · November 4, 2026
- Anthropic's new prototype proves which model wrote an AI response without exposing its weightsThe Decoder · November 4, 2026
- Sam Altman addresses RAM comments: people should ‘put as much as they want in their computers’The Verge AI · November 4, 2026
- OpenAI to acquire Pierre Computer Company, Inc.OpenAI · November 4, 2026
- Revolut tog hem sin AI och minskade kostnaderna med 90 procentComputer Sweden · November 4, 2026
- Canva säger upp över 1200 anställdaComputer Sweden · November 4, 2026