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But Where Does Taste Come From?
Over-reliance on generative AI may degrade a developer's 'taste'—the refined aesthetic judgment developed only through repetitive, hands-on practice.
What: Writer Christine Lemmer-Webber argues that taste is derived from trial, error, and personal style. She suggests that heavy use of LLMs causes users to become acclimated to statistically average outputs, effectively dulling the specific intuition and judgment needed for exceptional creative work.
Why it matters: This reflects a growing concern that algorithmic tools might eventually hollow out the human creative process, leaving the industry with high-quality but derivative content.
Takeaway: Limit your use of generative AI tools when performing foundational tasks to ensure you continue to build your own personal style and judgment.
Original article
Taste develops through practicing a craft directly—trying, failing, making unexpected discoveries, and gradually forming a distinctive style—rather than simply judging outputs produced by others. Heavy use of generative AI can undermine that process by replacing practice with statistically average output and even acclimating users to AI-generated patterns, potentially weakening the judgment they hoped would differentiate them in the first place.
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