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There is no longer any CUDA dependency anywhere in its stack, which is probably the biggest deal of all. For those who don’t know, CUDA is Nvidia’s software layer which is the foundation nearly every frontier AI model in the world is built on. Except, as of today, DeepSeek V4, which can run entirely on Huawei Ascend chips via Huawei’s CANN framework. China now has its own domestic AI stack, top to bottom.

  • ☆ Yσɠƚԋσʂ ☆@lemmygrad.mlOP
    14·
    11 days ago

    Exactly, AI and chips were the last bits of technology that the West could credibly claim to be ahead in. And this lead is collapsing in real time. This was the last refuge for the western technological supremacy narrative.

    • Comprehensive49@lemmygrad.ml
      3·
      11 days ago

      Unfortunately, DeepSeek V4 is not a full frontier model able to beat OpenAI’s or Anthropic’s latest yet, so there is a bit yet to improve.

        • Comprehensive49@lemmygrad.ml
          4·
          10 days ago

          Fair, I’ve heard similar annoyances about GPT 5.5. I think I hope DeepSeek reinforcement-trains V4 a bit harder and, in two to three months, comes out with an earth-shattering V4.1.

          • ☆ Yσɠƚԋσʂ ☆@lemmygrad.mlOP
            7·
            10 days ago

            The quality of the training is really what it comes down to. I saw one approach that was actually kind of obvious in retrospect where a model was trained on the actual git history instead of repository snapshots which taught it how code actually evolves over time. I think these kinds of tricks will add a lot of polish to make really competent coding models.