Project Eden
tripo3d.ai · 1,849 words · saved by 1 readers
the First World Model for AI-native Multiplayer and Agent Interaction in a Consistent World State
Generative AI has made extraordinary progress in video. With the rise of action-conditioned generation (where models respond to user inputs to produce continuous visual motion), the industry has increasingly begun to frame these systems as "world models." But does predicting the next sequence of pixels equate to simulating a world? Not quite. A video model predicts how pixels should change. A true world model must reason for what those pixels represent: objects, spaces, events, actions, memory, and physical consequences that carry forward over time. To date, research chasing this vision…
saved by
related reading
- [2509.24527] Training Agents Inside of Scalable World Modelsarxiv.org
- How to train a frontier-level world modelnext-state.github.io
- World Models | Rohit Bandarurohitbandaru.github.io
- World Models: Computing the Uncomputablenotboring.co
- A Functional Taxonomy of World Models - Dr. Fei-Fei Lidrfeifei.substack.com
- The Model That Dreams the Worldmoe-capital.com
- The First Fully General Computer Action Model | blogsi.inc
- Can Video World Models Track Unobserved World States?joonghyuk.com
- RTFM: A Real-Time Frame Model | World Labsworldlabs.ai
- Hunyuan-GameCraft-2hunyuan-gamecraft-2.github.io
- How not to do research - Rajan Agarwalrajan.sh
- Genie 3: A new frontier for world modelsdeepmind.google