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What does it mean to treat facts as drafts rather than monuments? If truth is something we approach, how do we act while it’s still provisional? When definitions shift, what really changes? How do better instruments quietly rewrite the world we think we know? Are we mostly refining truths or replacing them? When do scientific metaphors clarify and when do they mislead? What public stories make self-correction legible and trusted? What features make science self-correct rather than self-congratulatory? How should we reward replication, repair, and tool-building? Do we need more generalists - or better bridges between tribes? How does measurement expand the very questions we can ask? Is progress a goal-seeking march or a search for interesting stepping stones? Should we teach computing as a liberal art to widen its aims? Will AI turn software into a home-cooked meal for everyone? How do we design tools that increase wonder, not just efficiency?

Samuel Arbesman is Scientist in Residence at Lux Capital. He is also an xLab senior fellow at Case Western Reserve University’s Weatherhead School of Management and a research fellow at the Long Now Foundation. His writing has appeared in the New York Times, the Wall Street Journal, and The Atlantic, and he was previously a contributing writer for Wired. He is the author of the new book The Magic of Code, and his previous books are Overcomplicated: Technology at the Limits of Comprehension and The Half-Life of Facts: Why Everything We Know Has an Expiration Date. He holds a PhD in computational biology from Cornell University and lives in Cleveland with his family.

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Sam's Recent Titles: The Half-Life of Facts and The Magic of Code

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