#191 (Part 1) – Carl Shulman on the economy and national security after AGI

#191 (Part 1) – Carl Shulman on the economy and national security after AGI

This is the first part of our marathon interview with Carl Shulman. The second episode is on government and society after AGI. You can listen to them in either order!

The human brain does what it does with a shockingly low energy supply: just 20 watts — a fraction of a cent worth of electricity per hour. What would happen if AI technology merely matched what evolution has already managed, and could accomplish the work of top human professionals given a 20-watt power supply?

Many people sort of consider that hypothetical, but maybe nobody has followed through and considered all the implications as much as Carl Shulman. Behind the scenes, his work has greatly influenced how leaders in artificial general intelligence (AGI) picture the world they’re creating.

Carl simply follows the logic to its natural conclusion. This is a world where 1 cent of electricity can be turned into medical advice, company management, or scientific research that would today cost $100s, resulting in a scramble to manufacture chips and apply them to the most lucrative forms of intellectual labour.

It’s a world where, given their incredible hourly salaries, the supply of outstanding AI researchers quickly goes from 10,000 to 10 million or more, enormously accelerating progress in the field.

It’s a world where companies operated entirely by AIs working together are much faster and more cost-effective than those that lean on humans for decision making, and the latter are progressively driven out of business.

It’s a world where the technical challenges around control of robots are rapidly overcome, leading to robots into strong, fast, precise, and tireless workers able to accomplish any physical work the economy requires, and a rush to build billions of them and cash in.

It’s a world where, overnight, the number of human beings becomes irrelevant to rates of economic growth, which is now driven by how quickly the entire machine economy can copy all its components. Looking at how long it takes complex biological systems to replicate themselves (some of which can do so in days) that occurring every few months could be a conservative estimate.

It’s a world where any country that delays participating in this economic explosion risks being outpaced and ultimately disempowered by rivals whose economies grow to be 10-fold, 100-fold, and then 1,000-fold as large as their own.

As the economy grows, each person could effectively afford the practical equivalent of a team of hundreds of machine ‘people’ to help them with every aspect of their lives.

And with growth rates this high, it doesn’t take long to run up against Earth’s physical limits — in this case, the toughest to engineer your way out of is the Earth’s ability to release waste heat. If this machine economy and its insatiable demand for power generates more heat than the Earth radiates into space, then it will rapidly heat up and become uninhabitable for humans and other animals.

This eventually creates pressure to move economic activity off-planet. There’s little need for computer chips to be on Earth, and solar energy and minerals are more abundant in space. So you could develop effective populations of billions of scientific researchers operating on computer chips orbiting in space, sending the results of their work, such as drug designs, back to Earth for use.

These are just some of the wild implications that could follow naturally from truly embracing the hypothetical: what if we develop artificial general intelligence that could accomplish everything that the most productive humans can, using the same energy supply?

In today’s episode, Carl explains the above, and then host Rob Wiblin pushes back on whether that’s realistic or just a cool story, asking:

  • If we’re heading towards the above, how come economic growth remains slow now and not really increasing?
  • Why have computers and computer chips had so little effect on economic productivity so far?
  • Are self-replicating biological systems a good comparison for self-replicating machine systems?
  • Isn’t this just too crazy and weird to be plausible?
  • What bottlenecks would be encountered in supplying energy and natural resources to this growing economy?
  • Might there not be severely declining returns to bigger brains and more training?
  • Wouldn’t humanity get scared and pull the brakes if such a transformation kicked off?
  • If this is right, how come economists don’t agree and think all sorts of bottlenecks would hold back explosive growth?

Finally, Carl addresses the moral status of machine minds themselves. Would they be conscious or otherwise have a claim to moral or rights? And how might humans and machines coexist with neither side dominating or exploiting the other?


Learn more and read the full transcript on the 80,000 Hours website.

This episode was originally released in June 2024.


Chapters:

  • Cold open (00:00:00)
  • Rob’s intro (00:01:00)
  • Transitioning to a world where AI systems do almost all the work (00:05:21)
  • Economics after an AI explosion (00:14:25)
  • Objection: Shouldn’t we be seeing economic growth rates increasing today? (00:59:12)
  • Objection: Speed of doubling time (01:07:33)
  • Objection: Declining returns to increases in intelligence? (01:11:59)
  • Objection: Physical transformation of the environment (01:17:39)
  • Objection: Should we expect an increased demand for safety and security? (01:29:14)
  • Objection: “This sounds completely whack” (01:36:10)
  • Income and wealth distribution (01:48:02)
  • Economists and the intelligence explosion (02:13:31)
  • Baumol effect arguments (02:19:12)
  • Denying that robots can exist (02:27:18)
  • Classic economic growth models (02:36:12)
  • Robot nannies (02:48:27)
  • Slow integration of decision-making and authority power (02:57:39)
  • Economists’ mistaken heuristics (03:01:07)
  • Moral status of AIs (03:11:45)
  • Rob’s outro (04:11:47)


Producer and editor: Keiran Harris
Audio engineering lead: Ben Cordell
Technical editing: Simon Monsour, Milo McGuire, and Dominic Armstrong
Transcriptions: Katy Moore

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(340)

We can guess what intergalactic war would look like. And strangely, it matters.

We can guess what intergalactic war would look like. And strangely, it matters.

Intergalactic war is probably billions of years away — yet physics can already tell us how it ends. And strangely that conclusion is relevant to decisions people have to make today.In this video, Rob ...

18 Kesä 15min

How AI could create the world’s biggest problems (article by Zershaaneh Qureshi)

How AI could create the world’s biggest problems (article by Zershaaneh Qureshi)

Imagine you’re living 15,000 years ago. Your people are hunter-gatherers and you sleep under the stars. If someone told you humans would one day build cities with millions of people, fly through the a...

11 Kesä 1h 29min

What it's really like to run AGI safety at Google DeepMind (and where I disagree with 'doomers') | Rohin Shah

What it's really like to run AGI safety at Google DeepMind (and where I disagree with 'doomers') | Rohin Shah

Most people working on AI safety think without a massive effort AI systems will probably end up with goals catastrophically different from humanity’s. Today’s guest, Rohin Shah — head of AGI Safety an...

2 Kesä 2h 48min

What makes for a dream job? | Benjamin Todd

What makes for a dream job? | Benjamin Todd

What actually makes a job fulfilling? It's not what most career advice tells you. "Follow your passion" sounds inspiring, but it's misleading — and the research backs that up.Drawing on hundreds of st...

28 Touko 28min

We’re updating our career advice for the strangest time in history | Benjamin Todd, author of 80,000 Hours

We’re updating our career advice for the strangest time in history | Benjamin Todd, author of 80,000 Hours

The average career is 80,000 hours long. With AI advancing so rapidly, the hours you have left in your career matter more than ever.Some leading AI researchers think there’s a 10% chance that AI syste...

26 Touko 1h 6min

Can AIs already start 'rogue deployments' inside AI companies? (Landmark new METR report)

Can AIs already start 'rogue deployments' inside AI companies? (Landmark new METR report)

A red-teamer was embedded inside Anthropic for three weeks, told to imagine he was an evil Claude, and asked to figure out how to launch a ‘rogue AI deployment’ without getting caught. It’s one part o...

20 Touko 20min

#243 – 'Godfather of AI' Yoshua Bengio: "I now see a path" to safe superintelligent AI

#243 – 'Godfather of AI' Yoshua Bengio: "I now see a path" to safe superintelligent AI

The co-inventor of modern AI and the most cited living scientist believes he's figured out how to ensure AI is honest, incapable of deception, and never goes rogue. Yoshua Bengio – Turing Award Winner...

7 Touko 2h 35min

'95% of AI Pilots Fail': The hidden agenda behind the viral stat that misled millions

'95% of AI Pilots Fail': The hidden agenda behind the viral stat that misled millions

You might have heard that '95% of corporate AI pilots' are failing. It was one of the most widely cited AI statistics of 2025, parroted by media outlets everywhere. It helped trigger a Nasdaq selloff ...

28 Huhti 10min

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
psykopodiaa-podcast
voi-hyvin-meditaatiot-2
adhd-podi
rss-narsisti
rss-valo-minussa-2
rss-koira-haudattuna
rss-hereilla
kesken
psykologia
rss-rahamania
rss-duodecim-lehti
rss-arkea-ja-aurinkoa-podcast-espanjasta
leikitaanko-laakaria
jari-sarasvuo-podcast
rss-liian-kuuma-peruna
rss-luonnollinen-synnytys-podcast
ilona-rauhala
rss-monarch-talk-with-alexandra-alexis
rss-suomen-aa-podcast