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The way bubbletea rendering worked at the time was:

backpressure: 'strict' // or 'block', 'drop-oldest', 'drop-newest'

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Adapting to this personalized future likely requires building distinct brand identity and perspective rather than trying to be everything to everyone. If AI models categorize you clearly—as the practical, actionable advice source versus the theoretical deep-dive resource—you'll appear reliably for users whose preferences match that positioning. Trying to be too generic might result in appearing rarely for anyone as models route users to more distinctive alternatives.

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