Sean Gourley on The Mathematics of War and Future of US-China Relations @thedisruptors-sciencetechn4911
Sean Gourley on The Mathematics of War and Future of US-China Relations  @thedisruptors-sciencetechn4911
Uploaded December 2019 | Updated September 2026, 1 hour ago
Sean Gourley (@sgourley) is a physicist, founder and CEO of AI company, Primer, an expert on the mathematics of war, TED Fellow, speaker and political advisor.

Before that, he was CTO and co-founder of Quid, an augmented-intelligence company and also worked on self-repairing nano-circuits at NASA. Sean was a Rhodes Scholar at Oxford focused on complex systems and the mathematical patterns underlying modern war which was published on the cover of Nature.

He has served as a political advisor, briefed USCENTCOM at the Pentagon and addressed the United Nations in Vienna, serves on the Board of Directors at Anadarko (NYSE:APC).

Sean is also a two-time New Zealand track and field champion and sits on the Knight Commission focused on reforming collegiate athletics.

Full Episode: https://disruptors.fm/163-the-mathematics-of-war-and-future-of-us-china-relations-plus-ai-automation-and-mutually-assured-destruction-sean-gourley

In today's episode we discuss:

- The future of the US-China relationship, and possible war
- What differentiates AI creativity from humans
- The automation law that ALWAYS leads to occasional epic consequences
- Should we develop autonomous weapons? Will we
- What are the biggest predictors of war and civil strife
- Why San Francisco is anything but a model city
- Are cyborgs and genetic superhumans inevitable
- How long until we have human-level AI
- Why economic war creates the conditions for actual fighting
- What works well with mutually assured destruction
- How to engineer equality into our economy
- Why Sean is worried about deep fakes breaking democracy
- How to think about dynamic geopolitical decisions
- The importance of education and what its future holds

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Sean Gourley on The Mathematics of War and Future of US-China Relations

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