If your robot can’t produce an audit trail you’d show an insurance adjuster, it’s not “autonomous” it’s a liability.Fabric’s real product isn’t a robot; it’s a documentation layer that makes physical actions inspectable and disputable. Fabric treats actions/skills like transactions on an immutable ledger, so “what I did + why” can be replayed, challenged, and attributed across contributors and operators. The paper calls this a public coordination system for data, computation, and oversight, plus a “Global Robot Observatory” where humans can observe and critique machines. A warehouse bot drops a pallet. Today you get a private log file and a blame game. In Fabric’s world, you’d expect a shared record: which skill module was loaded, which update was deployed, and who bonded stake against the task so disputes aren’t emotional, they’re evidentiary. Richer traces raise privacy risk and invite adversarial “record gaming”. Fabric sketches verification + penalty economics (validators, slashing), but the governance details decide if this stays honest.
What’s the minimum on-chain record that still settles disputes? Who decides when a skill update is safe enough to ship?
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