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Do you restrict the distribution of sets of trained hyperparameters? Do you restrict models for training? Do you restrict the datasets? Do you prevent journal p
by killjoywashere 8y ago
Do you restrict the distribution of sets of trained hyperparameters? Do you restrict models for training? Do you restrict the datasets? Do you prevent journal publication of new developments? The fundamental algorithms are pretty well developed. Like Bernoulli's principle was well understood before the first airplane.
If you want to restrict something, you would restrict the tooling. Like we restrict the tooling to make advanced aircraft wings. In the case of ML that means you restrict ... migration of certain groups of engineers? Sale of GPUs?
- omeid2 8y agoWhile I don't advocate any restrictions for knowledge, even if for the very practical reason that it fails the it's premise of keeping it away from the bad guys and also find National Security to have been well and thoroughly abused for overreaching and draconian powers, there is something to be said about the power of the information that a well trained model holds. I believe it is fair, to at least start with the premise that, restrictions that would normally apply to some data, would reasonably extend to the Model trained by them, obviously, how much depends on the context and sensitivity of the data.