Machine Heart
Jul 27, 2026 · Artificial Intelligence
Causal Upgrade for Embodied World Models: CD‑LAM Improves Action Control with Only a Few Thousand Fine‑Tuning Steps
The CD‑LAM method removes visual contamination from latent action models, cutting action error by over 30% and boosting image quality, while requiring just 3‑6k fine‑tuning steps (about 10% of baseline cost), as demonstrated on 2B and 14B scale world models.
CD-LAMCausal DebiasingEmbodied AI
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