Image created with Gemini. Image prompt: Vintage book-jacket illustration of an Edwardian Dubliner in a flat cap and round wire spectacles peering through an antique wooden stereoscope viewer, its twin lenses projecting layered translucent scenes of a Dublin street floating in front of him, a cloth-bound blue book open on a table beside him with pages drifting into matching illustrations, bold serif title AR/VR set across the top like a book cover, flat inked colors in Shakespeare blue, cream, lemon yellow and slate gray with a single warm brick accent, letterpress and screen-print texture, soft overcast daylight, landscape 16:9 composition with generous headroom.
[2606.17030] Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation
https://arxiv.org/abs/2606.17030
📣 Introducing the Qwen-Robot Suite — Qwen-RobotNav, Qwen-RobotManip, Qwen-RobotWorld, three foundation models, a full stack for embodied intelligence. 🧭 Qwen-RobotNav — the gateway to mobility. • Unifies 5 navigation tasks in one model: instruction following, point-goal,
https://x.com/Alibaba_Qwen/status/2066870197122899980
Well I know the first thing I’m doing when fable access is restored 👀
https://x.com/bilawalsidhu/status/2067328315023560928
Holy crap this looks amazing! You can stack multiple image references w/ camera paths and get a continuous, seamless shot.
https://x.com/bilawalsidhu/status/2066527291337826755
Reskin the world wide web
https://x.com/bilawalsidhu/status/2066948626106958196
China too quick with it. Huawei users can natively capture a 3d gaussian splat and set it as their wallpaper.
https://x.com/bilawalsidhu/status/2066617540923490439
Building AI Agents for AR Glasses and XR Devices with NVIDIA XR AI | NVIDIA Technical Blog
https://developer.nvidia.com/blog/building-ai-agents-for-ar-glasses-and-xr-devices-with-nvidia-xr-ai/
City scale 3d gaussian splats just hit different – well done apple maps
https://x.com/bilawalsidhu/status/2066175946831348094
MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer”” TL;DR: learns a continuous mesh latent space and generates vertices and connectivity in parallel with flow matching, producing quality 3D meshes up to 18× faster than autoregressive.
https://x.com/Almorgand/status/2065557982985719841
MolmoMotion: Language-guided 3D motion forecasting
https://huggingface.co/blog/allenai/molmomotion
A multimodal data capture rig built for Physical AI training: Synchronizing RGB video, stereo IR depth, real-time 3D hand reconstruction, and 23×20 tactile pressure grids from sensor gloves during a cucumber-slicing task. The video from Grace Zhang visualizes aligned streams:
https://x.com/IlirAliu_/status/2066437515150586008
I have a fun, oddly useful AI benchmark: “”build me a procedurally generated 3D simulation showing the evolution of a harbor town from 3000 BC to 3000 AD, it should look beautiful & allow me to have some control over it”” Play the gallery of 20 models:
https://x.com/emollick/status/2067294892687024304
Google got tired of all the vibe coded simulators built on 3d tiles and said – screw it, flight sim on web, free for all – no need to burn api credits. The deeper lore here is that flight sim has long been an easter egg feature exclusive to the legacy earth pro desktop app.
https://x.com/bilawalsidhu/status/2065834228818866255
A robotics world model predicting 3D motion traces of semantic points instead of pixels or latents. Semantic points? Like objects, hands, and contacts! The approach uses video-only pretraining via TraceExtract on human videos to build an interpretable “physical language” that
https://x.com/IlirAliu_/status/2066582302952448302
By treating natural language as a universal action interface，Qwen-RobotWorld bridges the gap between general video generation models and domain-specific embodied models — this converts end-effector poses, steering commands, and navigation waypoints into a single interface,
https://x.com/Alibaba_Qwen/status/2066870210716647591
I made Physical AutoResearch sound simple (conceptually), but it took a village to pull off and lots of design thinking into the robot /loopcraft. The hardest part is everything we need to setup *before* pressing Enter. Here’s a behind-the-scene tour: 1. Safety harness Letting
https://x.com/DrJimFan/status/2067283904986517866
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