Ai Video

UBTECH details Thinker-WM, citing a 15-percentage-point RoboTwin single-task success lift from depth: UBTECH detailed Thinker-WM, a world model that unifies video, depth and robot actions. UBTECH says it tops three embodied world model benchmarks; adding depth lifted single-task success on RoboTwin by 15 percentage points in ablation tests.

Robotics • Pandaily

Xiaomi Just Showed Us What Million-Dollar RL Training Looks Like: A video analyzes Xiaomi's reported $3.47 million spend on only 30 reinforcement-learning training steps for frontier agentic RL. It walks through the training process and the scale involved.

Xiaomi • bycloud

Meta's Muse Spark Open is an 816B-parameter open-weight multimodal model: Meta’s Muse Spark Open is a new open-weight model with 816 billion parameters that processes text, images, video, and audio with up to one million tokens of context. It performs roughly on par with the most capable open-weight Chinese AI models on benchmarks and is optimized to run locally on Apple's M5 Ultra.

Meta • The Decoder

Kunlun Tech releases open-source Matrix-Game 4.0 for one RTX 5090: Kunlun Tech released Matrix-Game 4.0 on October 15, an open-source system combining a game engine with real-time AI video rendering on a single consumer graphics card. The company says it delivers 480p gameplay at 60 fps on an Nvidia RTX 5090 with input-to-response latency below 150 milliseconds.

AI Gaming • TechNode

Nature Will unveils Natura-1, a 50B MoE pretrained on 1M hours of human video: Nature Will's Natura-1 is a 50-billion-parameter MoE pretrained on one million hours of first-person human video. The model was then adapted with limited robot data to control 20-DoF robot hands.

Robotics • Pandaily