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Training data is the raw material of the AI industry. Claude, ChatGPT, Gemini, and the rest are built on top of oceans of stuff. What is that stuff? Books. Blog posts. YouTube videos. Reddit comments. All of it and more, in virtually incomprehensible quantities. Alex Reisner, a staff writer at The Atlantic who has been investigating training data, explains how AI companies get all this data, why they'd really prefer you not know what's in it, and whether training data could ever be a fair trade.
00:00 Intro
01:02 90 Seconds on The Verge
03:18 Why Training Data Matters
08:43 Common Crawl and Filtering
11:51 Academia and Data Laundering
15:37 YouTube as Data Mine
20:01 Synthetic Data Myth
21:59 Paying Creators for Data
23:13 Wrap Up and Credits
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