Labor Exploitation at Scale

Wang recognized the insatiable need for high-quality training data and built a model to provide the high-octane fuel for modern AI. He became the youngest self-made billionaire at 24.

His company, Scale AI, performs the arduous task of making Big Tech’s raw data deployment-ready. Turns out AI isn’t magic. Armies of flesh-and-blood laborers are needed to label, tag, correct errors, and sort raw data that is fed into our beloved AI models like ChatGPT, Claude, and Llama. This data refinement is performed by a vast global workforce, including hundreds of thousands of gig workers.

READ MORE ON SUBSTACK >

Previous
Previous

The Copyright Reckoning

Next
Next

Unlocking Potential with AI