Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Using the provided reference image, preserve the exact weathered wooden crate construction with horizontal dark reddish-brown slats, iron hardware, and hand-painted black stencil text layout, but replace the address text with ‘World Models’ in the same loose hand-painted style. Position the crate on a wooden dock with its lid partially open, revealing a detailed miniature landscape diorama inside — tiny trees, roads, buildings, weather systems — lit by soft early spring morning light that rakes across both the crate’s textured exterior and the intricate simulated world within.
If you’ve been curious about world models, read this. Got an early preview of the blog and it does a thorough job of unpacking the ill tailored tapestry of world model initiatives.
https://x.com/bilawalsidhu/status/2034679032642416664
World Models: Computing the Uncomputable
https://www.notboring.co/p/world-models
The future of work is world models – by Rohit Krishnan https://www.strangeloopcanon.com/p/the-future-of-work-is-world-models
no pretrained encoder, no complex tricks. LeWorldModel shows how JEPA-based World Models can be trained end-to-end from raw pixels with just 2 loss terms ~15M params, single GPU, and ~48× faster planning than foundation-model world models.
https://x.com/robotsdigest/status/2036104283192709345
LeWorldModel: Yann LeCuns Radical Simplification of World Models Just Made Physics-Aware AI Practical In the race for artificial general intelligence, two paths have emerged. One is the familiar scale everything route: bigger LLMs trained on ever-larger text corpora. The other,
https://x.com/BrianRoemmele/status/2036826341581185171
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