My first thought when reading the docs was: this is a game changer for the efficiency of applied ML (nlp, vision, speech) phd students. Coming from a school where there's a bit of a libertarian "write it all yourself, from scratch!" ethos, I always marveled at how much mileage other students got from research groups that built off a common codebase. Exciting to start to see glimmers of that possibility across the entire field.