Mindblown: a blog about philosophy.

  • The Annotation Bottleneck — Failure Modes, Diagnostic Signals, and a Validation Framework 

    The Problem Nobody Talks About  Synthetic data generation pipelines for robot imitation learning have matured fast. Tools like IsaacMimic and SkillGen can take a handful of human demonstrations and generate thousands of training episodes at scale. When the pipeline works, the results are compelling. When it doesn’t, the failure is rarely where people expect.  The physics are mature. The policy architectures are well-validated. The demonstration collection, assuming…

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