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AI news

5 stories that day · 1 model · 2 open source · 1 research · 1 trending

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Also that day

  1. Open source

    Ricursive Intelligence releases Ripple-65B Preview, an open-weight model for agentic coding (opens the original source in a new tab)

    The lab, which builds AI for chip design, says it trained the model from scratch for $32M, that it leads US open-weight models on TerminalBench 2.1, and that it runs on local machines like DGX Spark.

    Ricursive Intelligence · Original source (opens in a new tab)

  2. Open source

    Moonshot AI publishes the open weights of Kimi K3.1 Pro on Hugging Face (opens the original source in a new tab)

    Moonshot says the model is natively multimodal (built to handle more than text), reads up to 1 million tokens at once, and got better at coding, 3D creation and financial research.

    Moonshot AI · Original source (opens in a new tab)

  3. Research

    Google Research helps people define fuzzy ideas like 'healthy food' for an image sorter by talking it through (opens the original source in a new tab)

    Agile Deliberation shows people borderline images to react to instead of making them write prompts. In 18 live sessions, users reported less stress and their labels stayed more consistent.

    Google Research · Original source (opens in a new tab)

  4. Trending

    MindStudio finds Nvidia RTX Spark laptops run AI models far slower on Linux than on Windows (opens the original source in a new tab)

    Plugged in, the graphics chip is held near 780 MHz on Linux because its power table is encrypted. GPT-OSS-120B ran at 13.9 tokens a second there, against 65.4 on Windows.

    582 points on Hacker News

    MindStudio · Original source (opens in a new tab)

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