Profile 10 min read

Lessons from Nadia Asparouhova

Nadia Asparouhova is an independent researcher and writer studying the internet’s socioeconomic mechanics. By treating open-source software as public infrastructure, she reveals the hidden labor behind it and asks how funding and online culture shape knowledge work.
Profile 9 min read

Lessons from Michael Nielsen

Michael Nielsen helped establish quantum computing before turning to the mechanics of scientific discovery. His work on networked science, spaced repetition, and cognitive tools examines collaboration, technology’s effects on thought, and how subjects are learned.
Profile 10 min read

Lessons from Lee Cronin

Lee Cronin is Glasgow’s Regius Professor of Chemistry and builder of the Chemputer. His Assembly Theory links molecular complexity to physical memory and construction steps, reframing questions about life’s origins, programmable matter, and time itself.
Profile 8 min read

Lessons from Tony Blair

Tony Blair served as UK Prime Minister and led Labour to three consecutive victories by combining center-left policies with free-market economics. His perspective examines government leadership, public-sector reform, and the practical constraints of political power.
Profile 8 min read

Lessons from Scott Young

Scott Young is a writer and self-experimenter whose Ultralearning framework turns intense self-directed projects into a method: use aggressive focus and direct practice to expose false competence, break skill plateaus, and build durable systems for lifelong education.
Profile 9 min read

Lessons from Joseph Henrich

Joseph Henrich is an anthropologist and evolutionary biologist studying culture-driven human evolution. His WEIRD psychology critique connects marriage, religion, and shared learning to changing minds while exposing behavioral science’s reliance on a historical outlier population.
Profile 8 min read

Lessons from Bryan Caplan

Bryan Caplan is a George Mason University economist who challenges conventional thinking on democracy, education, parenting, and immigration, using theory, empirical evidence, and public bets to examine voter irrationality and the signaling value of college degrees.
Profile 11 min read

Lessons from Scott Aaronson

Scott Aaronson is a theoretical computer scientist studying quantum computers, from the boundaries of BQP to statistical watermarks for AI text. His work joins rigorous thinking about information and computation with a practiced instinct for debunking scientific hype.

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