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China AI

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Oct 15

Oct 15Thu
  1. Kling AIOfficialAI score38
    Image from @Kling_ai's post

    Kling AI releases Kling 4.0 with MCP and CLI access

    AIKling AI says Kling 4.0 is now fully available, accessible through a refreshed creation interface at kling.ai and through MCP and CLI for video creation workflows.

  2. SGLangOfficialAI score71

    SGLang adds Day-0 support for StepFun's open-weight Step 5 Preview

    AISGLang announces Day-0 support for StepFun's Step 5 Preview, a 600B-parameter sparse MoE model with 27B active per token and a 1M-token context window.

    Why it matters: The post names the inference and training setup, including hybrid attention and Day-0 RL support, showing how the open-weight model is served and trained.

  3. Ant LingOfficialAI score30

    Ant Ling thanks vLLM for day-0 support of Ling-3.1-flash

    AIAnt Ling thanks the vLLM project for making Ling-3.1-flash runnable on developers' own infrastructure from day one. vLLM announced day-0 support for the model, which has about 560B total parameters, about 25B active per token, and up to a 1M-token context.

  4. LeiphoneNewsAI score62

    Tim Cook says Apple Intelligence will use Alibaba's Qwen model in China

    AIApple executive chairman Tim Cook said in Shanghai that Apple Intelligence with Alibaba's Qwen model has been approved and a beta will launch in China later in October.

    Why it matters: The report ties Apple Intelligence's China rollout to an approved Alibaba Qwen model, clarifying which features launch first and which are excluded.

  5. PandailyNewsAI score75

    StepFun releases open weights for Step 5 Preview and publishes its architecture blog

    AIStepFun released the open weights for its Step 5 Preview model, a sparse mixture-of-experts model with 600B total parameters, 27B active per token, and a 1 million token context window.

    Why it matters: The article details the 92-layer design, Sparse GQA attention, and training choices behind a long-context agent model, which helps readers compare architectures for million-token workloads.