Possible solutions to that problem mentioned by the Journal on Monday include training models on “synthetic” data created by their own models or so-called “curriculum learning,” which involves feeding models high-quality data in an ordered fashion in hopes that they can use make “smarter connections between concepts” using far less information, but neither approach is proven, yet. But the companies’ other option is using whatever they can find, whether they have permission or not, and based on multiple lawsuits filed in the last year or so, that way is, let’s say, more than a little fraught.

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