A writer who has been arguing for forty years that the world is more particular than our ideas about it — and who thinks AI's success may be pulling our shared conceptual framework in the same direction.
David Weinberger's doctoral dissertation at the University of Toronto took Heidegger to task for trying to explain what things are as a class of Being, rather than in terms of their differences. The question of how much our generalizations catch of our actual experience has run through everything since: his teaching career, two pre-Web tech companies, and his books: The Cluetrain Manifesto (1999, co-authored, bestseller), Small Pieces Loosely Joined, Everything Is Miscellaneous, Too Big to Know, and Everyday Chaos. It also explains the seven years he spent writing gags for Woody Allen during the Annie Hall years. Nothing depends more on specificity than a punch line.
His new book, Beautiful Particulars: How AI's Attention to the Smallest of Differences Is Reshaping Our Biggest Ideas (MIT Press, November 3, 2026), is the argument he has been building toward. Machine learning, he argues, pays a kind of attention to particulars that our earlier sense-making frameworks — built on categories and generalizations — could not.
He has been at Harvard's Berkman Klein Center since 2005, first as a fellow, then as a senior researcher, and now as an affiliate; he is also a researcher at Harvard's metaLAB, was a Shorenstein Fellow at the Kennedy School, and directed the Harvard Library Innovation Lab. He spent four years as writer-in-residence with Google's PAIR and Moral Imagination groups. He served two stints as a Franklin Fellow at the State Department. Throughout, he has written hundreds of articles about the meaning of tech for publications including Wired, Scientific American, The New York Times and, The Atlantic.,
You'll take away: a way of thinking about AI that isn't hype and isn't doom. What if the important thing about these systems is that they succeed by steadfastly not reducing particulars to what they have in common? Differences turn out to be connections, too.