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Claude Opus 5.5

1806 points · 1134 comments · km144

  1. techjamie · · focus · HN ↗
    With the performance gains they're claiming, I wonder if they implemented the Casual Encoder-Decoder technology from DeepSeek 4.1's paper.

    I could see them accomplishing it and seeing gains like this in roughly the correct timeframe, and when I heard about that development I assumed the frontiers would probably jump on it.

    How it works: <a href="https:&#x2F;&#x2F;miraflow.ai&#x2F;blog&#x2F;deepseek-v4-1-flash-causal-encoder-decoder-explained-2026" rel="nofollow">https:&#x2F;&#x2F;miraflow.ai&#x2F;blog&#x2F;deepseek-v4-1-flash-causal-encoder-...

    1. stri8ted · · focus · HN ↗
      This model was likely trained months before deepseek released their paper.
      1. manquer · · focus · HN ↗
        Doesn&#x27;t mean they didn&#x27;t apply something similar. They could have also come up independently with their own version, the speculation is not they copied it, rather that they have performance breakthroughs which perhaps is a result of work in same domain
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