Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Using the provided reference image, preserve the exact square faceted glass perfume bottle with warm amber-gold liquid, crystal stopper, pure white background, soft shadow, and high-key studio lighting. Replace the label text with ‘World Models’ in the same elegant black serif typography. Add a delicate sterling silver chain draped around the bottle neck with a small dainty pendant: a miniature detailed globe with etched continents and tilted axis, rendered in high-fashion jewelry aesthetic with refined metalwork and subtle light reflection.
WorldAgents: Can Foundation Image Models be Agents for 3D World Models?”” TL;DR: reframes image models as multi-agent systems to generate coherent 3D worlds, revealing implicit 3D understanding in 2D foundation models
https://x.com/Almorgand/status/2037577917287301297
Paper review: LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
https://t.co/2dD7hPIURL Nice clean github:
https://t.co/YZ4e1eUACi This is the application of the LeJEPA results to world models, trained offline on experience from three different
https://x.com/ID_AA_Carmack/status/2039046172799578122
🚀 LeWorldModel datasets & checkpoints are now available on Hugging Face!
https://t.co/aiBkDTsNyX You can plug them directly into stable-worldmodel (https://t.co/2eQB7Q0l9i), the engine behind LeWorldModel, to instantly load, run, and start building on top of our models.
https://x.com/quentinlldc/status/2038986438088257558
📍 From Simulation to Reality in Robotics After this, you should understand: • why “”perfect”” simulations fail in the real world • three layers where the Sim-to-Real gap actually hides • the shift from simple modeling to System Fidelity • how modern stacks (Physical AI)
https://x.com/IlirAliu_/status/2037584159040839689
A Mathematical Introduction to Robotic Manipulation. [📍Save for later] It is a foundational robotics textbook that universities use to teach full graduate-level courses. From body motion to manipulation, grasping, control, and nonholonomic planning. This is the mathematical
https://x.com/IlirAliu_/status/2038888028165255348
Every mobile robot has the same problem. The arms are too heavy. Too weak. Too dumb… You bolt on a robot designed for a factory floor and wonder why your AMR’s battery dies in 2 hours. The payload-to-weight ratio kills you. The arm weighs 20kg and lifts 5. Mobile
https://x.com/IlirAliu_/status/2037250829111947708
Just read LeCun’s latest paper. His team trained the first world model that can’t collapse. Let me explain why this matters. It’s called LeWorldModel. World models predict what happens next physically. Objects moving, falling, colliding. That’s the base layer for robots
https://x.com/LiorOnAI/status/2037484990779339064
MolmoBot, our open robotic manipulation suite trained entirely in simulation, now has code, training data, a data generation pipeline, & evals all available. This puts our robotics models within reach of any research lab–no extensive real-world data collection required. 🧵
https://x.com/allen_ai/status/2037590611990094259
RF-DETR by @roboflow now on MLX It can do realtime instance segmentation on-device and enable some cool use cases for visual analysis, monitoring and robotics like Reachy Mini. Also augmented VLM and VLA by preprocessing image and video with areas of interest. New release
https://x.com/Prince_Canuma/status/2039090156188389500
Jim Fan proposes a three-part recipe for embodied AI, drawing parallels from the evolution of digital intelligence: – World Models (pre-training video-based physics) – Action Fine-Tuning (motor control) – Physical RL (infinite environments in neural simulation)
https://x.com/TheHumanoidHub/status/2039060404161425833
Manufacturers can’t trust their simulations. They design in a virtual world then spend weeks debugging on the real production line. That gap is costing time, money, and scale. At @NVIDIAGTC, I sat down with Craig McDonnell from @ABBRobotics to break down: → how they’re
https://x.com/IlirAliu_/status/2037099281694257298
🚀 Unitree open-sources UnifoLM-WBT-Dataset — a high-quality real-world humanoid robot whole-body teleoperation (WBT) dataset for open environments. 🥳Publicly available since March 5, 2026, the dataset will continue to receive high-frequency rolling updates. It aims to establish
https://x.com/UnitreeRobotics/status/2037440578275946551
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