Lessons from Wade Davis

Anthropologist and ethnobotanist Wade Davis has spent his career documenting indigenous cultures and the natural world. He is best known for the concept of the ethnosphere, arguing that human cultural diversity is just as fragile and important as biological diversity.

Lessons from Maxim Bar Kogan

As CEO of Onyx Security, Maxim Bar Kogan is building infrastructure to govern autonomous AI agents in the enterprise. Drawing on his background in military intelligence and offensive cyber operations, he argues that traditional security tools fail against unpredictable AI systems.

Lessons from Hilary Allen

American University law professor Hilary Allen studies the intersection of new technology and financial regulation. She coined "driverless finance" to describe how automated algorithms and cryptoassets threaten traditional banking stability.

Lessons from Amit Agarwal

Amit Agarwal helped scale Datadog from its early stages into a major public software company as its Chief Product Officer and President.

Lessons from Reynold Xin

Reynold Xin co created Apache Spark and co founded Databricks. He went from writing distributed systems code at UC Berkeley to designing databases for a world where AI agents write most queries.

Lessons from Stephan Crétier

Stephan Crétier turned a $25,000 second mortgage into GardaWorld, a $14 billion enterprise built on aggressive acquisitions and early predictive intelligence.

Lessons from Behzod Sirjani

Behzod Sirjani is an advisor, researcher, and founder of Yet Another Studio who previously led research operations at Slack and Facebook.

Lessons from Chris Manning

Chris Manning is a Stanford professor of linguistics and computer science who has spent decades studying how computers process human language.

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