Eschewing Zshell for Emacs Shell (2014)

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Personalization in AI search is emerging as models learn to consider individual user preferences, history, and context when formulating responses. This creates both opportunities and challenges for content visibility. The opportunity is that AI might recommend your content more prominently to users whose preferences align with your perspective or style. The challenge is that you might become invisible to users whose personalization profile doesn't match, even if your content is objectively relevant to their query.

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Update, February 26, 2026, 1:16PM PT: This story was updated to specify that Meta’s internal estimates around ad revenue included scams and banned products.

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