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Tech Policy Podcast

#369: AI and State Capacity

Tech Policy Podcast

TechFreedom

Technology

4.845 Ratings

🗓️ 13 March 2024

⏱️ 51 minutes

🧾️ Download transcript

Summary

Samuel Hammond (Foundation for American Innovation) discusses his essays on “AI and Leviathan.” Can government institutions cope with the coming technological disruption of AI? Topics include: - AI’s trajectory - New Deal agencies in an AI world - Public Choice Theory vs. the AI juggernaut - Uber and micro-regime changes - Government as a network of smart contracts - Techno-totalitarianism vs. techno-feudalism - AI Renaissance city states? - Collapse as a feature, not a bug - A techno-optimist’s revealed preferences Links: AI and Leviathan: Part I (https://tinyurl.com/cttzfpcx) AI and Leviathan: Part II (https://tinyurl.com/cn6kc57x) AI and Leviathan: Part III (https://tinyurl.com/4frwprt9) Where is This All Heading? (https://tinyurl.com/nm3np3xj) AI: Dumb human to Einstein in a heartbeat (https://tinyurl.com/yuxcc8pf) Tech Policy Podcast #337: China and Domestic Surveillance (https://tinyurl.com/3eyeyn72) Tech Policy Podcast #327: The Collapse of Complex Societies (https://tinyurl.com/5esaaksf)

Transcript

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0:00.0

Samuel Hammond is here.

0:26.2

He is a senior economist at the Foundation for American Innovation.

0:31.5

He writes a substack called Second Best Ware a while back.

0:36.5

He published a series of illuminating and provocative essays on

0:40.5

AI and Leviathan. Sam touches on an incredible range of topics in these articles, as he does

0:48.7

in all his work. Today, though, we'll be focusing largely on his deep thoughts about whether government institutions

0:57.0

can cope with the coming technological disruption of AI. The answer might well be no. We might

1:05.0

be headed toward techno-futalism or techno-anarchism. And it might be awesome.

1:14.0

This is the tech policy podcast.

1:17.4

I'm Corbyn Barthold.

1:19.4

Sam, welcome.

1:21.7

Thank you for having me.

1:23.1

So I do want to focus on AI and state capacity.

1:27.0

But to understand that state capacity problem, we need to start with how fast the AI is likely

1:35.6

to take off because that's what's going to create the problem.

1:39.9

You have a great timeline in this series of essays where you game out your prediction of where things

1:46.4

are liable to head. Could you help our listeners wrap their heads around just how quickly

1:52.6

you think artificial intelligence is going to advance over the next decade plus?

1:58.5

Yeah, I mean, stepping back, what is the human brain, right? This is a topic of epic

2:04.8

controversy. Does it matter that we're made of meat and carbon? Well, on some dimension,

2:13.1

but what the brain does is primarily digital, right? Synapses firing and wiring.

2:19.7

And there's a remarkable parallel between our digital neural networks,

...

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