Xiaomi MiMo-V2.6 is now open—a native multimodal agent family built for large-scale reinforcement learning. 🚀📜 MIT License. 🤖 🏆 MiMo-V2.6-Pro scores 46 on the Artificial Analysis Intelligence Index and reaches 71.9 on DeepSWE v1.1, 89.9 on Terminal-Bench 2.1, and 82.0 on OSWorld-Verified. 🧠 The 1.02T MoE activates 42B parameters and supports text, images, video, audio, and a 1M-token context. ⚙️ One mixed RL run trains coding, general, visual, and cybersecurity agents together. Pro and Flash completed 30 steps each in under six days, producing around 750K trajectories. 🌐 The models support computer use, 3D creation, embodied control, coding, design, video, and music workflows.

Xiaomi makes this 1500hp EV supercar that holds test track records in Germany, and has just shipped a credible frontier model after a public RL training demo. Claude says: Xiaomi is the first major lab to run its production RL in the open. It streamed the run live and disclosed the key numbers: about 750,000 trajectories, 30 steps in under six days, roughly $2.62M for Pro and $0.85M for Flash. It says it's releasing the training environments and RL code so others can reproduce the results. CodeMidas shows that filtered, verified tasks beat larger unfiltered sets. Open-sourcing such environments lowers the barrier for every open lab and pressures closed labs whose advantage partly rests on proprietary RL data. V2.6-Pro is the top open-weights model and ties Grok 4.7 at 46 on Artificial Analysis. It still trails Claude Opus 5 (51) and GPT-6 Astra (53), with the widest gaps on hard long-horizon tests like Terminal-Bench 4.0 (34.9 vs 49.0 and 59.6). Its edge is cost: it's roughly 45× cheaper per task than Opus 5.

Xiaomi 18 Fold goes on sale across China — two days after Apple revealed its first foldable smartphone — as the tech competition heats up between China and the United States

Xiaomi-Robotics-U0-4B packs unified embodied world generation into a compact 4B model. 📜 Apache 2.0. 🤖 📄 🏆 The full U0 system ranks #1# on World Arena and lifts π0.5’s real-world OOD success from 36.9% to 63.2% with generated data. 🌍 Generate or edit consistent multi-view scenes across robot embodiments. It also supports text-to-image and instruction-guided generation. 🛠 Change objects, layouts, robot bodies, and camera views while preserving task structure and cross-view consistency. 🧠 Text, images, and embodied observations share one token space and next-token objective. Inference code and Gradio are included.

Xiaomi launched the 18 Fold LPDDR6 is exclusive to the 16GB+1TB configuration, with other versions using LPDDR5X. LPDDR6 is sourced from CXMT and SK Hynix. So, CXMT alone can't yet supply enough LPDDR6 for the 16GB+1TB alone, we are sooooo tight in supply!!! If CXMT can't fully supply even one Xiaomi phone, I dont think Apple will rely on it at meaningful scale anytime soon

Xiaomi and CXMT say the Xiaomi 18 Fold smartphone will debut CXMT's LPDDR6 DRAM chips, alongside Xiaomi's in-house 3nm Xring O3 SoC, launching in September (@summerzhenhk / Reuters) (Visit Techmeme dot com for the link and full context!)