Can Machines Learn without Knowledge?

Topics covered in this episode:

• 00:28 On using ZK Proofs in the context of Machine Learning.

  Lúcás Meier @cronokirby

  I think ZK proofs about ML models are a bit odd, because no one agrees about what the output of the ML model really should be. I guess one use-case would be proving that you're running the same model for different people, but that's limited in scope.

• 14:00 On the centralized force of ML.

  Lúcás Meier @cronokirby

  Machine Learning is a very centralizing force, because of inherent economies of scale and data moats. Also, it's often deployed as a perverse extension of bureaucracy. You get opaque and heartless decisions with no logic nor recourse behind them.

• 25:00 On economies of scale in ZK proving.

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