This means that adding another order of magnitude more training data to AI won't just add massive computational expense - the data will be many orders of magnitude more expensive to acquire, even without factoring in the additional liability arising from new legal theories about scraping:
https://pluralistic.net/2023/09/17/how-to-think-about-scraping/
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That leaves us with "humans in the loop" - the idea that an AI's business model is selling software to businesses that will pair it with human operators who will closely scrutinize the code's guesses. There's a version of this that sounds plausible - the one in which the human operator is in charge, and the AI acts as an eternally vigilant "sanity check" on the human's activities.
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