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High Variance with Danny Buerkli

Podkast av Danny Buerkli

engelsk

Teknologi og vitenskap

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Les mer High Variance with Danny Buerkli

High Variance is an interview podcast about a world that has become harder to read — more uncertain, more volatile, stranger. Host Danny Buerkli speaks with public intellectuals, entrepreneurs, and technologists to ask what is going on and how we should respond.

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13 Episoder

episode Wardley Maps: How to Cheat at Predicting the Future – with Simon Wardley cover

Wardley Maps: How to Cheat at Predicting the Future – with Simon Wardley

Simon Wardley — former CEO and creator of Wardley Mapping — joins Danny Buerkli to talk about how he went from feeling like a "fake CEO" to finding one of the most useful ways of thinking about strategy. Simon also explains how he "cheats" at prediction, calling cloud, serverless, vibe coding, and the rise of intelligent agents years — sometimes decades — before they arrived. They also talk about why data centers are heading to space, what "SpimeScript" will do to every supply chain on Earth, why he thinks China will win the AI race, and how large language models are a non-kinetic form of warfare. Simon's book can be found here [https://github.com/HiredThought/wardley-maps-ebook/raw/main/bin/Wardley%20Maps%20-%20Simon%20Wardley.pdf]. One of the most useful brief introductions to Wardley Mapping and strategy, by Dave Hora, is here [https://www.davesresearch.com/wardley-mapping/].

27. mai 2026 - 1 h 8 min
episode Intelligence Saturation and the Economics of AI – with Ioana Marinescu cover

Intelligence Saturation and the Economics of AI – with Ioana Marinescu

Ioana Marinescu — associate professor at the University of Pennsylvania, research associate at the NBER, and member of Anthropic's Economic Advisory Council — joins Danny Buerkli to discuss her "intelligence saturation" paper, which divides the economy into an intelligence sector and a physical sector to model what happens as AI automates cognitive work. They discuss why a recent scenario piece that moved markets gets the economics wrong, what parameters to watch to understand where we're headed, why being first to AGI may matter less than people think, her policy proposals for AI Adjustment Insurance and a Digital Dividend, what UBI experiments do and don't tell us about a world without work, Ioana's favorite theory of divorce, and what it feels like to be an intelligence worker watching AI get better at your job.

4. mars 2026 - 1 h 2 min
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