benchmarking, i.e., the act of building and applying benchmarks, is a new(ish) form of data activation: a way of turning domain data into something models can be measured against, ranked by, and eventually trained on. i wrote about data activation a while back, and i want to come back to it, because i think benchmarking is one of the cleaner examples of the thing i was reaching for then. ...