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  • Hi, Kimberly Mullins and team!

    I really enjoyed reading your Privacy Impact Assessment for Perplexity. It’s clear, concrete, and grounded in how libraries actually make decisions. The way you addressed data types, opt-outs, and monitoring responsibility makes this very usable for leadership and policy conversations.

    The video on first-order hallucinations made some interesting points, especially in comparing how the three major LLMs behave differently. It was a helpful reminder that hallucinations are not uniform and that tool choice really matters. Thank you for sharing that resource.

    Also, the brown bag lunch idea feels promising. A simple compare-the-tools activity or shared hallucination example could be an easy, repeatable way to build awareness without creating a heavy training lift for staff.

    Best wishes to Adelphi as you continue your AI journey! We've truly enjoyed having you as part of the cohort.

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