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This paper proposes using game engines as a verifiable trajectory data engine for scaling world models, introducing RLHEV to combine dense engine signals with human feedback for reinforcement learning post-training.
The author shares their vision for Orizn, a travel ecosystem designed to provide AI agents with verified, structured data and APIs for reliable travel planning, visa information, and itinerary organization.