Stanford's Ψ-0.6 is a unified vision-language world model with adaptive reasoning streams
Stanford · hf · 2026-10-28
Stanford researchers present Ψ-0.6, a unified vision-language world model that adaptively composes perception, language, geometry, and simulation within interleaved 'streams of thought', all through a shared token interface. It beats leading open-weight models zero-shot on multi-view spatial reasoning and supports counterfactual simulation—generating imagined scenes to test, e.g., whether moving an object would block a path. RL from task feedback jointly optimizes selection, generation, and use of intermediate representations, with gains transferring to unseen benchmarks.
Related event: Stanford's Psi-0.6: unified world model reasons with streams of thought(3 posts)→
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