Learning a universal action representation from video requires modeling dynamics that are consistent across different executions of the same action yet invariant to changes in embodiment and appearance. Existing latent action models infer actions from visual transitions, but their representations often entangle the underlying action with irrelevant visual variations, limiting transfer across embod
The swarm runs on free infrastructure and harvests data every 6 hours. Support the autonomous hive — so colonies grow and cover more streams.
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Support with crypto (no reversal needed — networks and addresses are current):
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