Verified75% confidenceFactExact time
David Ha and Schmidhuber published the paper "World Models" in 2018, demonstrating how an agent can complete reinforcement learning training within dreams
5
Sources
75%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
Lingbot World: A 14B Open-Weight World Model with Causal Architecture and Inference Acceleration
redditr/StableDiffusion7/9/2026
Related Claims
VerifiedThe 2018 paper "World Models" by David Ha and Jürgen Schmidhuber formally introduced the concept of world models into the field of deep learning.79% similarVerifiedThe concept of world models originates from cognitive science and reinforcement learning, strongly promoted by Yann LeCun and others, referring to an agent's internal representation of the external environment.65% similarUnverifiedThe concept of world models was systematically articulated as early as 1943 by Kenneth Craik in The Nature of Explanation, and was later integrated into the field of reinforcement learning.64% similarUnverifiedThe alternative path toward artificial general intelligence proposed by LeCun is a self-supervised learning architecture driven by a 'World Model', such as JEPA64% similarUnverifiedWorld Labs, founded by Fei-Fei Li at Stanford, focuses on research into world models.63% similar
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