Recommended Reading from Tech Founders

A focused reading list led by Packy McCormick’s recommendation of Natural General Intelligence, with additional picks on the videogame crash, Feynman’s Challenger investigation, and the logic of longtermism.

An organic founder conversation surfaces two software classics with concrete lineage; Garry Tan also amplifies a quantitative Waymo safety article, with its empirical claims separated from its broader learning-curve argument.

A focused set of authentic recommendations led by Dario Amodei’s AI-safety letter, with complementary lenses on agentic work, AI-risk taxonomy, moral judgment, and skepticism about doomer narratives.

Organic recommendations from Elon Musk, Sarah Guo, Martin Casado, Brian Armstrong, Morgan Housel, Tobi Lütke, and Tim Ferriss, organized around operational failure, evaluation, software defensibility, durable primary sources, and a lighter film reset.

A pair of current AI recommendations turns the safety debate into concrete reading on incident evidence, evaluator access, and verification economics, followed by deeply personal leadership, culture, and technical picks.

Martin Casado’s unambiguous endorsement of *The Contagion of Fear* leads four organic recommendations on AI risk, frontier regulation, antitrust, and the provenance of online policy debates.

A high-signal recommendation list led by Dario Amodei’s three-step frontier-pacing essay, with companion reads on AI control, knowledge-rich education, and an archival AI-risk classic.

A selective resource list built around strong personal endorsements and recommendations that come with a usable lens—from Michael Levin’s theory of minds to Samsung’s AI-memory architecture, Musashi’s model of skill transitions, and practical sales craft.

Packy’s strongest reading pointer is Hamilton Helmer’s *7 Powers*, read through the lens of counter-positioning. The useful qualification is that it creates a temporary opening against incumbents; durable advantage must follow.

A compact set of organic recommendations centered on practical judgment: Bill Gurley’s method for interrogating AI claims, Kevin Kelly’s audience-building classic, and a Max Richter interview on creative constraint, followed by two clearly caveated leads.