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The goal is to ensure that they don’t inbreed their models, not fix the problems they’ve caused.
This won’t fix the inbreeding issue, anyway. The bias is extremely slight, but random, and orthogonal to Claude’s own “slop patterns” and tendencies. And theres tons of other LLM content that will end up in their dataset outside their control.
Besides, as much as Claude accusess others of it, everyone’s training on everyone else’s output and they know it.