Continual Learning Could Break AI Equality: Personalized Models Will Diverge
theteknosaur · x · 2026-08-10
The author argues that continual learning might make AI far less equalizing than expected. While everyone currently gets the same base model, giving AI months to learn individual tastes, work habits, and standards means that personal assistants will soon diverge drastically. This deep personalization could lead to massive inequality in how effectively different users can leverage their AI.
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