Skip to content
Live
Industry#Open source
  1. TechCrunch · AI82

    After Huang Renxun's departure, NVIDIA's investment contraction may leave a gap in AI startup funding

    Multiple investors and founders interviewed by TechCrunch believe that after Huang Renxun's departure as CEO of NVIDIA, the company's investment in AI startups may be significantly tightened. According to PitchBook data, NVIDIA participated in 105 funding rounds this year and was often the largest investor, having invested in CoreWeave, Crusoe, Mistral AI, Lambda, and Black Forest Labs, and acquired Hugging Face for 13 billion USD.

    Why it matters: The article presents multiple perspectives on the potential tightening of NVIDIA's investment strategy after Huang Renxun's departure, allowing readers to understand the changes in the funding landscape of AI startups.

  1. QbitAI75

    Tencent's Hy4 calls have increased tenfold, WorkBuddy has been expanded, Agent Arena's first open-source model

    Tencent announced on November 5 that due to the surge in Hy4 calls, WorkBuddy has been expanded tenfold and the free experience quota for users has been increased. Hy4 ranks second among Chinese models on the Artificial Analysis Intelligence Index and is ranked 13th on the Agent Arena overall list, ranking first among open-source models.

    Why it matters: After the release of Tencent Hy4, calls surged and were expanded tenfold, while also providing a comparison of the rankings in Artificial Analysis and Agent Arena and the cost per single task.

  1. QbitAI78

    FaceWall AI's ForgeKernel live stream generated an operator from scratch, 9.8% faster than DeepSeek FlashMLA and announced open-source.

    FaceWall AI's operator generation system ForgeKernel generated the DeepSeek-V4.1 FlashMLA Prefill operator from scratch on an NVIDIA B200, with a final time of 472 microseconds, 9.8% faster than FlashMLA's 518 microseconds. The entire process took 22.5 hours, 42 iterations, and 32 versions, using 1 B200 and 22 GPU hours.

    Why it matters: The original provided live stream iteration data and Ascend 3 benchmark results can be used to judge the path of operator generation shifting from manual tuning to intelligent agent self-evolution.

  2. QbitAI72

    Zhiyuan releases GO-3 Preview and WITA-OMNI dual models and introduces Worken labor unit

    Zhiyuan released the embodied base model GO-3 Preview and the full-modal interactive large model WITA-OMNI at the Innovation Day. The former topped the RoboDojo, RoboTwin, and RoboColiseum rankings, while the latter led the Daily-Omni, TimeLens-Bench, EmbSpatialBench, and MMAU rankings.

    Why it matters: Zhiyuan provides dual model rankings, tri-intelligent hardware, and an open-source OS plan at once, allowing comparison with its production line test data to judge the implementation level.

  1. Anthropic Newsroom71

    Anthropic has donated the Agent Skills standard to the Agentic AI Foundation

    Anthropic announced that it is donating the Agent Skills open standard to the Linux Foundation's Agentic AI Foundation (AAIF), a foundation co-founded by Anthropic, Block, and OpenAI. Anthropic had previously donated MCP to it.

    Same story · 2 outlets

    Why it matters: The original text explains the adoption scale and governance transfer of Agent Skills, allowing readers to judge who will maintain this intelligent agent skills standard in the future.

You are all caught up