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Feeding the Machine

AI training data has become a booming industry, with startups like Mercor and Surge AI racing to supply the human labor needed to teach models. Mercor, founded by 22-year-olds, is now valued at $10 billion. The article explores the shift from simple data labeling to complex grading rubrics, the immense scale of spending (over $10 billion annually), and the challenges of making AI truly useful beyond narrow domains.

SourceHacker News AIAuthor: amai
Feeding the Machine
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Mercor achieved $500M annualized revenue in under two years, making it the fastest-growing company ever.
  • AI labs are spending over $10 billion on training data, with specialized rubrics and reinforcement learning environments driving demand.
  • Companies like Scale AI and Surge AI dominate, but face lawsuits over worker treatment.
  • New reinforcement learning techniques require highly detailed grading criteria, often taking over 10 hours to create per rubric.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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