A recent article from Quanta Magazine captures a familiar rhythm in AI history. World models are now treated as a resurgence, but the idea traces back at least to 1943, when early computational thinkers began formalizing internal representations of the world as a prerequisite for reasoning. What is changing now is not the ambition, but the feasibility. Compute, data, and tooling have finally caught up to ideas that were intellectually sound but practically premature. Progress here looks less like invention and more like retrieval.
Read the article here:
https://www.quantamagazine.org/world-models-an-old-idea-in-ai-mount-a-comeback-20250902/
Takeaway : AI advances by remembering what it once knew.
