Induction Labs Photon-1 Simulates Desktops, Plays Checkers, and Models Billiard Physics From One Pretraining Run

Summary

<p>Most agents that learn from video need to know what action produced each frame. Induction Labs is arguing that this requirement is the bottleneck. Last week, they released imagination models, a foundation model architecture that pretrains on raw video with no action labels at all. Their test system is Photon-1, a sparse 106B-A5B mixture-of-experts (MoE) [&#8230;]</p> <p>The post <a href="https://www.marktechpost.com/2026/07/26/induction-labs-photon-1-simulates-desktops-plays-checkers-and-models-billiard-physics-from-one-pretraining-run/">Induction Labs Photon-1 Simulates Desktops, Plays Checkers, and Models Billiard Physics From One Pretraining Run</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>