writing
Essays on the craft and economics of training AI, from the people who do it.
It looks like a creative writing exercise. It isn't. A look at why the labs hand you an awkward random sentence, and what they're actually watching for.
The work isn't hard. Staying consistent across hundreds of near-identical decisions is. A practical framework for ad classification.
You're not writing a clean script for a human. You're making training data for a speech model. Why precision beats readability on CrowdGen.
Voice characteristics, speaking style, and the inline tags that trip everyone up. What QA actually wants on Cardamom HybX tasks.