Gemini portrait misses revive the case for user-adjustable AI “knobs”
yacineMTB · x · 2026-07-26
A quoted post recalls an old Gemini example in which, after 49 attempts, the model still struggled to generate a portrait that looked like a 17th-century physicist.
The author uses that case to argue for personalized, adjustable AI controls: instead of one-size-fits-all systems with embedded values, users should be able to tune the trade-off between truthfulness and normative alignment themselves — while acknowledging the risk of filter bubbles.
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