unknown

no pretrained encoder, no complex tricks.

LeWorldModel shows how JEPA-based World Models can be trained end-to-end from raw pixels with just 2 loss terms 
~15M params, single GPU, and ~48× faster planning than foundation-model world models.

<p>no pretrained encoder, no complex tricks.

LeWorldModel shows how JEPA-based World Models can be trained end-to-end from raw pixels with just 2 loss terms 
~15M params, single GPU, and ~48× faster planning than foundation-model world models.</p>

Yann LeCun

LeWorldModel demonstrates that JEPA-based World Models can be trained end-to-end without a pretrained encoder or complex tricks, suggesting a simpler approach to world model training in AI/ML research.