#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.

Links to learn more, highlights, and full transcript.

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.

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 creates pressure to move economic activity off-planet. 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 AGI 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 is 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?

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?

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

Jaksot(318)

Rebuilding after apocalypse: What 13 experts say about bouncing back

Rebuilding after apocalypse: What 13 experts say about bouncing back

What happens when civilisation faces its greatest tests?This compilation brings together insights from researchers, defence experts, philosophers, and policymakers on humanity’s ability to survive and...

15 Heinä 20254h 26min

#220 – Ryan Greenblatt on the 4 most likely ways for AI to take over, and the case for and against AGI in <8 years

#220 – Ryan Greenblatt on the 4 most likely ways for AI to take over, and the case for and against AGI in <8 years

Ryan Greenblatt — lead author on the explosive paper “Alignment faking in large language models” and chief scientist at Redwood Research — thinks there’s a 25% chance that within four years, AI will b...

8 Heinä 20252h 50min

#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

The era of making AI smarter just by making it bigger is ending. But that doesn’t mean progress is slowing down — far from it. AI models continue to get much more powerful, just using very different m...

24 Kesä 20252h 48min

#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good

#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good

For decades, US allies have slept soundly under the protection of America’s overwhelming military might. Donald Trump — with his threats to ditch NATO, seize Greenland, and abandon Taiwan — seems hell...

12 Kesä 20252h 48min

#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress

#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress

AI models today have a 50% chance of successfully completing a task that would take an expert human one hour. Seven months ago, that number was roughly 30 minutes — and seven months before that, 15 mi...

2 Kesä 20253h 47min

Beyond human minds: The bewildering frontier of consciousness in insects, AI, and more

Beyond human minds: The bewildering frontier of consciousness in insects, AI, and more

What if there’s something it’s like to be a shrimp — or a chatbot?For centuries, humans have debated the nature of consciousness, often placing ourselves at the very top. But what about the minds of o...

23 Touko 20253h 34min

Don’t believe OpenAI’s “nonprofit” spin (emergency pod with Tyler Whitmer)

Don’t believe OpenAI’s “nonprofit” spin (emergency pod with Tyler Whitmer)

OpenAI’s recent announcement that its nonprofit would “retain control” of its for-profit business sounds reassuring. But this seemingly major concession, celebrated by so many, is in itself largely me...

15 Touko 20251h 12min

The case for and against AGI by 2030 (article by Benjamin Todd)

The case for and against AGI by 2030 (article by Benjamin Todd)

More and more people have been saying that we might have AGI (artificial general intelligence) before 2030. Is that really plausible? This article by Benjamin Todd looks into the cases for and against...

12 Touko 20251h

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
psykopodiaa-podcast
voi-hyvin-meditaatiot-2
rss-narsisti
adhd-podi
psykologia
rss-liian-kuuma-peruna
kesken
rss-niinku-asia-on
rss-duodecim-lehti
ihminen-tavattavissa-tommy-hellsten-instituutti
rahapuhetta
aamukahvilla
rss-honest-talk-with-laurrenna
rss-luonnollinen-synnytys-podcast
rss-tietoinen-yhteys-podcast-2
rss-opeklubi
rss-vapaudu-voimaasi
nakokulmia-rikollisuudesta-irrottautumiseen
rss-arkea-ja-aurinkoa-podcast-espanjasta