$\Psi$-0.6: Adaptive Streams of Thought in a Unified Vision-Language World Model
Humans reason about the physical world by flexibly combining different forms of inference as a problem unfolds. Achieving this flexibility is a major open challenge in AI: capabilities often remain separated across specialized models, limiting how they can be composed and jointly adapted to a task. We introduce $\Psi$-...
Khai Loong Aw, Klemen Kotar, Bai-Han Zhang et al.
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