Ψ-0.6把感知語言幾何擰進統一模型

Computer Science > Artificial Intelligence arXiv:2610.32177 (cs) [Submitted on 23 Oct 2026] Title:$Ψ$-0.

6: Adaptive Streams of Thought in a Unified Vision-Language World Model Authors:Khai Loong Aw, Klemen Kotar, Baihan Zhang, Yifan Liu, Lilian Chen, Atlas Kazemian, Rahul Venkatesh, Daniel Yamins View a PDF of the paper titled $\Psi$-0.

6: Adaptive Streams of Thought in a Unified Vision-Language World Model, by Khai Loong Aw and 7 other authors View PDF HTML (experimental) Abstract: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 $\Psi$-0.

6, a unified vision-language world model that adaptively composes perception, language, geometry, and simulation within a shared reasoning process we call streams of thought.

These streams interleave images, text, and explicit representations of geometry and motion, all of which the model can generate and interpret through a shared token interface.$\Psi$-0.

6 surpasses leading open-weight models zero-shot on multi-view spatial reasoning, with further gains from reasoning through geometric intermediates.

It also supports counterfactual simulation: generating and interpreting imagined scenes to determine, for example, whether moving an object would obstruct a pathway.

Reinforcement learning from task feedback jointly optimizes the selection, generation, and use of intermediate representations, improving visual question-answering accuracy with gains that transfer to unseen benchmarks.$\Psi$-0.

6 offers a path toward adaptive physical reasoning -- not only predicting the physical world but also choosing the representations through which to reason.Subjects: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) Cite as: arXiv:2610.

32177 [cs.AI] (or arXiv:2610.32177v1 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2610.

32177 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Khai Loong Aw [view email] [v1] Fri, 23 Oct 2026 05:24:02 UTC (13,260 KB) Full-text links: Access Paper: View a PDF of the paper titled $\Psi$-0.

6: Adaptive Streams of Thought in a Unified Vision-Language World Model, by Khai Loong Aw and 7 other authorsView PDFHTML (experimental)TeX Source view license Additional Features Audio Summary Current browse context: cs.AI < prev | next > new | recent | 2026-10 Change to browse by: cs cs.CV cs.

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