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I came here to point this out, and it's especially clear if you contextualize this with the original decision from September: https://www.ded.uscourts.gov/sites/ded/files/opinions/20-613...

They were doing semantic search using embeddings/rerankers.

The point that reading both decisions together compounds is that if they had trained a model on the Bulk Memos and generated novel text instead of doing direct searches, there likely would have been enough indirection introduced to prevent a summary judgement and this would have gone to a jury as the September decision states.

In other words, from their comment:

> But I'm not sure "generative" is that meaningful a distinction here.

The judge would not seem to agree at all.



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