顶会具身辩论赛实况：徐丹飞激辩，PI连输三轮，谷歌大佬倒戈

TL;DR - At an RSS 2026 workshop, robotics experts debated how world models should be structured, controlled, and trained. The emerging view favors modular models, action-grounded evaluation, and combining internet-scale human video with precise robot data.

• Separating world and policy models currently offers better real-time efficiency, debugging, and handling of failure versus success data.
• Action value, physical consistency, and semantic priors were favored over pixel-level realism for contact-rich tasks.
• Human videos provide scale and long-tail coverage, while embodied robot data supplies precise dynamics and control signals.
• A proposed hybrid data flywheel uses world models to bridge broad internet data with high-quality robot experience.