The next frontier isn’t in how well you use software—it’s in how well you become it, encoding your best insights and shaping them into connection, curation, and growth.
This bet—that domain-specific human expertise matters more than volume of human annotation—represents one theory of how to maintain quality in an increasingly synthetic information environment.
As artificial intelligence learns to predict, replicate, and endlessly optimize what is already popular, the risk is not noise but homogeneity. The future promises infinite content that is perfectly tailored, frictionless, and forgettable, generated at scale by systems trained to reinforce existing patterns. In such a landscape, taste becomes one... See more
Curation as a Service (or CaaS) - I believe, as the amount of content on the web increases, there will inevitably be a need for more human curators. People who are domain experts (or have an obsession with a topic) that can sift through the garbage and collect the gems.
Over the past year, working on a book on curation, I have interviewed more than 30 curators—art and conference curators, creative directors, Instagram influencers, radio hosts, coders, and genetic engineers—and all agreed that saying no is at the core of the curatorial ethos . Saying no defines what matters.
What we need is more support for the act of curation itself: Not just paying online creators for their content, but paying curators, sustaining the people who find what you like.
What AI made practical was the thoroughness — more robustness checks, a cleaner structure, tighter linkage between the theoretical claims and the empirical evidence. When the marginal cost of “one more robustness check” or “let’s try restructuring this section” drops to near zero, you do things you would otherwise have compromised on. That is not... See more