1 link tagged with all of: taste + ai + judgement + constraints
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As AI and LLMs make competent drafts trivial, the real edge shifts to human judgment—spotting what’s generic, diagnosing flaws, and owning outcomes. True value comes from combining taste with context, constraints, and stakes, not just selecting polished AI outputs.
- AI makes generic "7/10" drafts nearly free, so the scarce skill becomes diagnosing precisely why something is generic or risky, not just picking the best AI output
- The practical drill: generate 10-20 AI versions of an artifact, write a "fails because..." line for each, then rewrite the best under hard constraints (no buzzwords, one idea per sentence, real trade-offs noted)
- Refusal—recognizing when "good enough" hides risk or mismatches real needs—matters more than selection
- Real authorship requires holding actual stakes (regulatory liability, brand damage, budget/material constraints) that AI can't bear, so curation alone leaves humans without genuine ownership