DigiNews

Summary

This post argues that as ML and LLM adoption grows, new kinds of work will emerge at the human-ML boundary. It outlines roles such as incanters, process engineers, statistical engineers, model trainers, meat shields, and haruspices, and discusses accountability, provenance, and governance in AI systems, framed as part of a broader shift in the future of work.