The Kotwel Knowledge Base
Practical articles on data quality, human insight, AI systems, and the flywheels that turn learning into durable advantage.
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5 articles found
How autonomy is graded by who holds the fallback rather than by form factor, why the rare moments inside millions of fleet miles decide deployment, and what it takes to keep those moments time aligned, consistently typed, and findable later.
Where the seven-decade-old engineering discipline ends and trained behavior begins, why 4.7 million installed machines still run on specified motion, and what breaks when a robot has to handle variation nobody wrote down.
How AI systems join language, vision, audio, and physical sensor signals into one representation, why the shared time reference rather than the model is the real reliability surface, and how time-aligned corpora changed what these systems can be trained on.
How learned intelligence moves into physical action, why state transitions make robot data difficult, and how the field shifted robot behavior out of engineered code and into datasets and learned parameters.
How embodied agents learn through the closed loop of perception, action, and consequence, why data trustworthiness rather than data volume decides whether a policy transfers, and how pooled cross-embodiment corpora changed the field.
