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Matching papers

Apple-π: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence

40 upvotes · 17 JUL 2026 · Runmao Yao, Kairui Hu, Yukang Cao et al.

This paper introduces a benchmark to evaluate video generation models' ability to reason about physical laws, which is crucial for creating reliable world simulators. Practitioners caring about developing more realistic and physically intelligent AI models will find this research valuable.

video generationphysical intelligencelaw-grounded reasoningclassical mechanicsscientific reasoningworld models

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL

5 upvotes · 7 MAY 2026 · Darshan Deshpande

This paper develops a new type of artificial intelligence model that can simulate complex environments and make decisions in them, which could be useful for training robots and other agents to perform tasks in the real world. Practitioners might care because these models could help solve problems in areas like robotics, autonomous vehicles, and healthcare.

reinforcement learningworld modelsagentic RLmasked diffusion language modelstransition-dynamics