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#Paper/Research

#Paper/Research

Sep 21

Sep 21Mon
  1. Xiaomi MiMoOfficialAI score67

    Xiaomi MiMo open-sources Pro, Flash, and a 9B distilled model

    AIXiaomi MiMo announced open-source releases of Pro and Flash, the MiMo-V2.6-Distill-Qwen-9B model, a technical report, over 7K RL task environments, an end-to-end RL framework, and composable mini-harnesses. The attached table shows MiMo-V2.6-Distill-Qwen-9B after SFT and after RL compared with Qwen3.5-9B, with RL scores higher on most listed benchmarks, such as SWE-bench Verified at 66.2 versus 60.0.

    Why it matters: The table compares a 9B distilled model against Qwen3.5-9B on coding, cyber, and agent benchmarks, showing how the reinforcement learning stage changes results.

    Image from @XiaomiMiMo's post

Sep 8

Sep 8Tue
  1. Google DeepMind · YouTubeOfficialAI score78

    DeepMind releases AlphaGenome Atlas, a predictive map of every possible DNA letter change

    AIGoogle DeepMind has used AlphaGenome to predict the molecular impact of every possible single-letter change in the human genome, around nine billion variants. The resulting AlphaGenome Atlas is a 1PB dataset that assigns each variant an AlphaGenome Variant Impact (AVI) score, covering both coding and non-coding variations, and is available to researchers worldwide. The video notes that AlphaGenome has not been validated or approved for any clinical use.

    Why it matters: The release supplies a precomputed impact score for every possible single-letter genome change, which lets researchers look up variants without running the model themselves.

Sep 3

Sep 3Thu
  1. Google DeepMind · YouTubeOfficialAI score72

    Google DeepMind's WeatherNext 3 offers hourly, 5km-resolution weather forecasts

    AIGoogle DeepMind introduced WeatherNext 3, a weather forecasting model that learns directly from satellite feeds and ground-level weather station data. It produces a fresh forecast every hour, compared with the six-hour refresh typical of traditional models, with native 5km resolution for temperature and humidity. It is available through Google Search, Gemini, Google Maps and more.

    Why it matters: The source shows a shift from six-hourly to hourly refresh and 5km local resolution, which matters for energy planning and local forecasting.

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