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XPENG's G9L Global Launch: The AI SUV That's Part Car, Part Robot

 Chinese EV maker XPENG just showed the world what it means when a car and a robot share the same brain. On Monday at the 91st Paris Motor Show (October 12–18, Paris Expo Porte de Versailles), the company globally launched the G9L, its “Next-Gen AI Flagship SUV” — the centerpiece of a 1,000+ square metre “Physical AI Museum” in Hall 6. The details Offered in BEV and REEV versions, the G9L is what XPENG calls an AI-defined vehicle. Its intelligent driving runs on the VLA 2.0 model, built for fast cross-region generalization — and powering it all is the Turing AI chip, the very same processor inside XPENG’s IRON humanoid robot. That shared chip is the core of XPENG’s “Physical AI” pitch: one ecosystem spanning the full tech stack, AI vehicles, humanoid robots (mass production of IRON is advancing), flying cars and Robotaxi. Its “Car-as-a-Robot” concept puts vehicle and robotics technology on a common platform, so a breakthrough on one side flows straight to the other. The rollout is ...

Odyssey Just Opened a Free Demo of Odyssey-3 — an AI That Builds Playable Worlds in Real Time

Odyssey-3 world model illustration — an AI-generated 3D world, titled Odyssey Opens Free World Model Demo
Type a sentence, walk around inside the world it creates. That is the promise of Odyssey-3, the new "world model" from California AI startup Odyssey — and since October 11, 2026, anyone can try it: the company opened a free public research preview with an online demo anyone can poke at.


THE DETAILS


Under the hood, Odyssey-3 is an autoregressive diffusion transformer — it continuously generates new video frames from the previous frames plus your actions, so the environment reacts to you in real time. A special training technique cuts down the compute steps needed per frame, which is what makes live generation possible.


The base model has 14 billion parameters and renders at 832 by 480 pixels; the Pro version reaches 1280 by 720. Training data mixed internet videos with event descriptions, video-game footage paired with keyboard-and-mouse inputs, and simulated physical interactions. The free public demo runs on Odyssey-3 Flash, and developers can apply for API access.


Odyssey was founded in 2023 by Oliver Cameron and Jeff Hawke, and raised $310 million in June 2026 from investors including Amazon and AMD Ventures.


WHY IT MATTERS


The headline results are about transfer. Odyssey trained a controller on roughly two hours of Grand Theft Auto V footage — and it could play the game autonomously. Then, with zero extra training, that same controller transferred its skills to Red Dead Redemption 2. In robotics, a controller trained on a few dozen hours of demonstration data operated multiple robotic arms, and Odyssey has worked with Swiss company Flexion on humanoid robot controllers plus a drone controller trained purely on simulated flight data.


World models are becoming a crowded race: Google DeepMind is pushing Genie 3, and AMD announced plans in late September to acquire Fei-Fei Li's startup World Labs for roughly $8.2 billion. The prize is big: robots that learn in simulation instead of the real world, self-driving systems that rehearse edge cases, and eventually games that generate themselves.


THE TAKE


Two honest caveats. Resolution is still modest, and the benchmark claims are company-reported with an asterisk: Odyssey-3 Pro's top score of 66.1 on Physics-IQ Verified's video-to-video physics test came from a selection method that picked one of eight generated videos in a single run — short of the benchmark's own rules. Without the selection trick it averaged 63.37 across four runs. Still, a free demo you can poke at yourself beats a press release: world models are moving from research papers to something you can play with, and Odyssey-3 is the clearest public look yet at where the field is going.

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