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World Labs unveils Atlas, a 4‑modal world model with spatial context - RobotHOT

World Labs unveils Atlas, a 4‑modal world model with spatial context

Fei-Fei Li’s startup World Labs has released Atlas, a next-generation world model billed as the first multimodal system capable of pixel-level camera-controllable image and video generation paired with native 3D scene reconstruction. Trained from scratch on text, image, video and 3D data, the so-called “omni model” unifies four distinct modalities within a single unified architecture. Its flagship innovation, termed “spatial context”, grounds each input image in a precise 3D coordinate space with explicit camera pose parameters. By treating geometric camera controls as native inputs, Atlas eliminates reliance on textual prompts to describe camera motion, letting users specify exact viewing angles and trajectories to generate up to 1440p-resolution videos with a maximum one-minute duration. World Labs frames the upgrade as letting...

Mystery robot videos spark AGI debate as Chinese team unveils MVP - RobotHOT

Mystery robot videos spark AGI debate as Chinese team unveils MVP

A mysterious Chinese artificial intelligence team has released a series of uncut, one-take videos showing humanoid robots performing household tasks with fluid, human-like coordination, reigniting online speculation that embodied intelligence might be nearing a “ChatGPT moment.” The clips, which went viral last week, depict robots adapting to external physical disturbances while carrying a water glass, tidying a living room in a single long-horizon sequence, collaborating to smooth a bedsheet, and carrying multiple items at once – all without visible teleoperation, according to the developers. The underlying model, internally codenamed MVP – short for “Make Veritable People” – is designed to endow machines with physical reasoning and autonomous decision-making rather than probabilistic imitation, the team said in response to inquiries. In...

The Second Wave of Real VLA: Psi R1 Achieves Generalized Intelligence at the Brain Level! - RobotHOT

The Second Wave of Real VLA: Psi R1 Achieves Generalized Intelligence at the Brain Level!

Psi R1 marks the release of the first reinforcement learning–driven Vision-Language-Action (VLA) model, successfully demonstrating dexterous, long-horizon task execution in an open-ended Mahjong environment. · Millimeter-Level Dexterous Manipulation: PsiBot’s dexterous hand achieves precise coordination across vision, language, and action modalities—executing human-like movements such as flipping, grasping, and organizing tiles with millimeter-level accuracy. · Human-Robot Interaction and Cognitive Decision-Making: The robot must understand Mahjong rules, interpret evolving game states, and dynamically generate strategies for discarding, melds (Pung/Kong), and reactive play—completing a full pipeline from rule interpretation to real-time reasoning and execution. · Reinforcement Learning–Enhanced Long-Horizon Execution: Validated in the Mahjong scenario, Psi R1 maintains a 30-minute+ Chain of Action Thought (CoAT)—breaking traditional limits of robotic task duration and reasoning continuity in...

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