Code Mala Tang
Code Mala Tang
Apr 22, 2026 · Artificial Intelligence

How LeWorldModel Achieves Stable End‑to‑End World Modeling with Just Two Losses

LeWorldModel, a 2026 JEPA‑based world model introduced by Yann LeCun and collaborators, solves representation collapse with a minimalist two‑loss objective, delivering a 15‑million‑parameter system that trains in hours, runs 48× faster than prior baselines, and reaches near‑SOTA performance on robot control benchmarks.

JEPARoboticsdeep learning
0 likes · 6 min read
How LeWorldModel Achieves Stable End‑to‑End World Modeling with Just Two Losses
AIWalker
AIWalker
Mar 10, 2026 · Artificial Intelligence

MIGM-Shortcut: Learning Controlled Latent Dynamics to Speed Up Masked Image Generation

The paper introduces MIGM-Shortcut, a self‑supervised method that learns controlled latent‑state dynamics to bypass redundant bidirectional attention in Masked Image Generation Models, achieving over 4× speed‑up on state‑of‑the‑art multimodal diffusion models like Lumina‑DiMOO while preserving image quality.

AIDiffusion ModelsMIGM
0 likes · 8 min read
MIGM-Shortcut: Learning Controlled Latent Dynamics to Speed Up Masked Image Generation