Robot deployment needs a data loop: Dyna processes TBs daily
JasonMa2020 · x · 2026-08-28
Dyna shared lessons on putting robots into production, emphasizing that a strong general model is insufficient without observability, auto-labeling, and evaluation systems. They built a continuous learning loop that processes over a terabyte of data daily, auto-labeled into SOP steps, outcomes, and failure modes. New deployments now achieve ROI in as little as three days, revealing the data flywheel behind scalable robotics.
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