In my experience, there's an opposing "bitter lesson" when trying to make incremental, tactical progress in user-facing AI / ML applications: _you're not a rese

In my experience, there's an opposing "bitter lesson" when trying to make incremental, tactical progress in user-facing AI / ML applications: _you're not a researcher_. Stay to tried-and-true, boring ML methods that have been proven at scale and then add human knowledge and rules to make it all work. Then, as the article mentions, some new fundamental shift happens, and practitioners need to jump over to a completely new way of working. Monkeypatching to make it all work. Rinse repeat.