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Simulation and world models are essential for training but require rigorous sim-to-real validation; relying solely on synthetic data carries significant financial and operational risk.

Impact: Reduces costly real-world testing cycles while maintaining high confidence in system safety and operational readiness.

— from Physical AI Strategy: Platform Consolidation & Engineering Shifts · Latent Space: The AI Engineer Podcast· Apr 28, 2026