Anecdotally, The field of ML suffered from a problem where there were more entrants to the field than available positions/viable work. In many industrial posit

Anecdotally, The field of ML suffered from a problem where there were more entrants to the field than available positions/viable work. In many industrial positions, it was possible to hide a lack of progress behind ambiguity and/or poor metrics. This lead to a large amount of gate keeping for productive work as ultimately there wasn't enough to go around in the typical case. This attitude is somewhat pervasive leading to blogs like the above. Granted, the Nth prompting paper probably isn't interesting - but new programming languages for prompts and prompt discovery techniques are very exciting. I wouldn't be surprised if it turned out that automatic prompt expansion using a small pre-processing model turns out to be an effective technique.