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Would it be possible for a pass-through of 'bad' or 'faulty' data to mess up their model at a large enough scale?

If the data can be used to improve the model it seems like data could be used to damage it, in theory.



I think ihws2 was saying sharpening tools to mean filing bug reports and feature requests for tensorflow and the cloud service.




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