“Much of the public response to language models like OpenAI’s ChatGPT has focused on all the jobs they appear poised to automate. But behind even the most impressive AI system are people — huge numbers of people labeling data to train it and clarifying data when it gets confused. Only the companies that can afford to buy this data can compete, and those that get it are highly motivated to keep it secret. The result is that, with few exceptions, little is known about the information shaping these systems’ behavior, and even less is known about the people doing the shaping.” Josh Dzieza in The Verge with an interesting look at the humans driving machine learning. AI Is a Lot of Work. “As the technology becomes ubiquitous, a vast tasker underclass is emerging — and not going anywhere.”