RealtimeWAM for Efficient One-Step Asynchronous World Action Models
October 4, 2026
RealtimeWAM accelerates World Action Models through one-step action generation and asynchronous inference. It uses Teacher-Anchored Consistency Distillation (TACD) to eliminate the efficiency bottlenecks caused by multi-step denoising and sequential expert waiting.
HOW THIS AFFECTS YOU
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builderYou can achieve significantly lower latency in robotics and embodied AI applications using asynchronous execution.
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researcherThe TACD method provides a way to address the local-global error gap in distilled action models.