No, it makes sense: he's coming at it from the perspective of knowing exactly what task you want to accomplish (something like "fixing the grammar in this docum

No, it makes sense: he's coming at it from the perspective of knowing exactly what task you want to accomplish (something like "fixing the grammar in this document.") In such cases, a model only has to be sufficiently smart to work for 99.9999% of inputs — at which point you cross a threshold where adding more intelligence is just making the thing bulkier to download and process, to no end for your particular use-case. In fact, you would then tend to go the other way — once you get the ML model to "solve the problem", you want to then find the smallest and most efficient such model that solves the problem. I.e. the model that is "as stupid as possible", while still being very good at this one thing.