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You say this as if artificial training data cannot be high quality.
Think of it this way, do you think most of the data it’s trained on across the open web is high quality? Something has to determine whether it’s “high quality” or not.
Everytime someone uses an LLM the results, their prompt, the response to the results, etc. all act as indicators to the machine learning model to condition it in the right direction. So, “without contributing new data” is false. Usage of AI helps to determine what is good data, what is bad data — something we must do with human-made data and artificial data.
No ML companies are worried about having high quality artificial training data for this and a variety of other reasons.