Build to learn
Marty Cagan on the distinction between product discovery (“build to learn”) and product delivery (“build to earn”), and why AI makes the former more important, not less.
The hard part is building the product sense necessary to evaluate the learnings and guide the direction.
Similarly, an AI editor could confirm or deny whether a paper’s claims are likely to be true, but in a coming age of radical overabundance of valid research it’s the taste of the editor that matters — selecting which papers their audience would actually care about. Product sense works the same way: it isn’t verification, it’s curation.