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Fei-Fei Li, LeCun, Hassabis: What Do They Mean by “World Model”?

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Demis Hassabis, Yann LeCun, Fei-Fei Li – they all talk about “building a world model.” Some of them are dedicating their professional lives to it!


But do they mean the same?


So before joining the World Models workshop at Chicago Booth, I wanted to answer a basic question: what do researchers mean by a world model, and how many different ideas are sitting under this name?


World models are absolutely fascinating area of research with its GPT moment still in the nearest future. 

This episode is based on the current research and provides a comprehensive overview of three broad approaches: generating future observations, predicting inside learned representations such as JEPA, and learning only what a planner needs to make decisions.


*Watch it.*

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Attention Span is here to show you AI isn’t magic. Sometimes the best way to understand a model is to change the background to purple and see what breaks.


*Links:* 

Demis Hassabis on world models

https://www.youtube.com/watch?v=sZaM6MadDZU

Yann LeCun on world models

https://www.youtube.com/watch?v=8sS9UJzb_t4

Fei-Fei Li on large world models

https://www.youtube.com/watch?v=pNYVckbCFuk

Beyond LLMs: JEPA and the Road to AGI – the main milestones so far https://www.youtube.com/watch?v=z0fh0SY3VWc

stable-worldmodel https://github.com/galilai-group/stable-worldmodel/issues/153

VideoPhy-2, a benchmark https://arxiv.org/pdf/2503.06800 

Physion-Eval https://arxiv.org/html/2603.19607v1 

What Is JEPA? LeCun Architecture & World Models https://www.turingpost.com/p/jepa 


#WorldModels #AI #MachineLearning #YannLeCun #FeiFeiLi #DemisHassabis #JEPA #PhysicalAI #TuringPost #AttentionSpan

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