Quo Vadis, World Modeling? Towards Interactive World Proxies for Continually Improving Agents
Shanghai AI Laboratory
Survey arguing agents need dynamic interaction feedback beyond static supervision, proposing 'Agent-Centric Interactive World Proxies' that model agent-usable information transitions (execution outcomes, retrieved skills, verification signals) rather than raw physical state prediction.
Why it matters
30 upvotes on HuggingFace Daily Papers; a position paper as world-model research shifts from physics simulation toward agent-training substrates.
Importance: 2/5
Notable position/survey paper reframing world-model research around agent training rather than a new empirical result.
Sources
official
Quo Vadis, World Modeling?