"Competent output is now cheap, allowing for rapid generation of materials like landing pages and pitch decks. This shift emphasizes the importance of judgment and taste in tech, as the ability to discern quality becomes a key differentiator."
"Taste is not merely about personal aesthetics; it is about making distinctions under uncertainty. Most significant work lacks perfect data, requiring individuals to make informed decisions about what resonates with customers and what does not."
"Taste manifests in three areas: what you notice, what you reject, and how well you can articulate what feels wrong. The ability to diagnose issues is crucial, as many can sense something is off, but few can pinpoint the exact reasons."
AI and LLMs have made producing competent outputs inexpensive, shifting the focus to judgment and taste. Individuals who excel are those who can discern quality and authenticity. However, relying solely on AI outputs risks reducing humans to mere reviewers. The true opportunity lies in merging taste with context and constraints to create unique solutions. Taste is defined as the ability to distinguish under uncertainty, manifesting in what one notices, rejects, and can articulate as problematic, moving from subjective feelings to precise diagnoses.
Read at Raj Nandan Sharma
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