#Paper/Research

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.

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.