Ψ-0.6 发布：统一视觉语言世界模型中的自适应思维流

Ψ-0.6: Adaptive Streams of Thought in a Unified Vision-Language World Model [R]

AI 导读

Ψ-0.6 是一个统一视觉语言世界模型，可在文字、深度、运动、相机位姿和想象场景等多种思维流中推理，并学习何时使用哪种表示。它在零样本 MindCube 复杂空间推理上超过领先的开源权重模型，在 FlowBench 上预测物体运动优于其他世界模型；模型在仿真房间中训练后可迁移到真实机器人桌面，同时充当感知器、VLM、世界模型、推理器和策略。论文、代码与演示视频均已公开。

正文

Ψ-0.6: Adaptive Streams of Thought in a Unified Vision-Language World Model [R]

Chain-of-thought transformed AI reasoning, but it is limited to words.

What's the physical-world analogue?

Introducing Ψ-0.6, one model that reasons in *streams of thought*: words, depth, motion, camera pose, and imagined scenes. And it learns when to use which!

Ψ-0.6 surpasses leading open-weight models on complex spatial reasoning (MindCube, zero-shot).
On FlowBench, it outperforms other world models at predicting how objects move. Trained on simulated rooms, it transfers to real robot tabletops.
One model as perceiver, VLM, world model, reasoner, and policy. RL learns which representation to reason through.

Thread (with video): https://x.com/khai_loong_aw/status/2115099953433600011

Paper: https://arxiv.org/abs/2610.32177
Website: https://neuroailab.github.io/psi-website/blog/psi-0-6.html
Code: https://github.com/neuroailab/psi-0.6

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