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Xiaomi's MiMo-V2.6 Is Now the #1 Open-Weight AI Model in the World

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The most interesting AI lab in the world right now might be a phone company. Xiaomi's MiMo team has released MiMo-V2.6 — two open-weight models, Pro and Flash — and the flagship MiMo-V2.6-Pro has just debuted at the top of Artificial Analysis's Intelligence Index with a score of 46, ahead of every other open model on the planet, including DeepSeek's best. MiMo-V2.6-Pro is a sparse mixture-of-experts model with 1.02 trillion total parameters (42 billion active per token). The smaller Flash variant carries 309 billion total parameters with 15 billion active. Both are natively multimodal — text, image, video, and audio — with a one-million-token context window. The headline grabber is the price tag. Xiaomi says the reinforcement-learning run behind Pro took under six days and cost about $2.62 million. Flash cost roughly $850,000. Not long ago, frontier training runs were talked about in hundreds of millions of dollars; Xiaomi did this one for the price of a nice house. And und...

FAA Starts Testing 'SMART' — an AI System That Predicts Air Traffic Jams Before They Happen

Cover: airport control tower at sunset with AI flight-path overlays — FAA tests SMART AI air traffic system

Your next flight delay might be flagged by AI before it ever happens.

The FAA has started a 90-day pilot of a cloud-based AI platform called SMART — short for Strategic Management of Airspace, Routes and Trajectories — at Washington DC-area airports. The system is designed to predict air traffic flows and spot potential conflicts before they occur, helping reduce delays and improve air-traffic performance.

The soft launch covers Dulles International Airport, Baltimore/Washington International (BWI) and Reagan National Airport, with AI recommendations flowing from the FAA Air Traffic Control System Command Center in Warrenton, Virginia. SMART is part of a nearly $900 million FAA technology contract, and the FAA says a wider rollout is expected to begin in fall 2026.

How it works: the AI analyzes airline schedules, airport capacity, weather conditions and operational constraints to forecast how traffic will flow through the skies. Think of it as a decision-support layer for controllers — an extra set of eyes that watches everything at once and flags problems early.

What it doesn’t do matters just as much. The FAA stresses SMART will not replace human air-traffic controllers, who remain responsible for keeping planes safely separated. Reporting on the program notes it is not intended to direct any flight changes either — the humans stay in charge.

Reaction has been mixed. Some passengers told reporters they had no idea the program was coming, and the launch arrives amid broader public anxiety about AI’s growing role. That’s a fair instinct — aviation is about as safety-critical as technology gets, and trust has to be earned flight by flight.

Why it matters: air traffic delays cost airlines and travelers billions every year, and most of the damage comes from problems that cascade faster than humans can react. An AI that predicts congestion instead of reacting to it could genuinely cut delays. And if a 90-day pilot can prove an AI safety layer works in one of the world’s most tightly regulated industries, expect to see the same pattern — AI that advises, humans that decide — show up in rail, shipping and power grids next.

The take: AI isn’t taking over the tower. It’s helping the tower see around corners. That’s exactly the kind of AI deployment worth rooting for.

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