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MIT researchers use GPT-6 Astra to edit Qwen's open weights, boosting math performance

This story is from 2026-11-02. It is preserved in the archive; the latest stories are on the live feed.

MIT researchers used GPT-6 Astra to directly edit Qwen's open model weights, described as 'gene editing for neural networks,' improving math performance. Separately, Deep Principle released Hydrogen-1.0, an MIT-licensed gated BF16 open-weights model with 262K context.

Read the full story at VentureBeat AI ↗

Timeline · 2 reports

  1. 2026-11-03 14:16 · DEV Community — Machine Learning
    Hydrogen-1.0 MIT Open Weights: Gated BF16, NVFP4 262K Context Cliff, and Vendor FSR vs GPT-6 Astra
  2. 2026-11-02 22:16 · VentureBeat AI
    'Like gene editing for neural networks': MIT researchers used GPT-6 Astra to edit Qwen's open weights directly, boosting math performance

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