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Leopold Aschenbrenner — 2027 AGI, China/US super-intelligence race, & the return of history

Leopold Aschenbrenner — 2027 AGI, China/US super-intelligence race, & the return of history

33 segments available

Chatted with my friend Leopold Aschenbrenner about the trillion dollar cluster, unhobblings + scaling = 2027 AGI, CCP espionage at AI labs, leaving OpenAI and starting an AGI investment firm, dangers of outsourcing clusters to the Middle East, & The Project. Read the new essay series from Leopold this episode is based on here: https://situational-awareness.ai/ 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒 * Transcript: https://www.dwarkeshpatel.com/p/leopold-aschenbrenner * Apple Podcasts: https://podcasts.apple.com/us/podcast/leopold-aschenbrenner-china-us-super-intelligence-race/id1516093381?i=1000657821539 * Spotify: https://open.spotify.com/episode/5NQFPblNw8ewxKolIDpiYN?si=6NaTHAugT2SxZrspW3lziw * Follow me on Twitter: https://twitter.com/dwarkesh_sp * Follow Leopold on Twitter: https://x.com/leopoldasch 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 00:00:00 The trillion-dollar cluster and unhobbling 00:21:20 AI 2028: The return of history 00:41:15 Espionage & American AI superiority 01:09:09 Geopolitical implications of AI 01:32:12 State-led vs. private-led AI 02:13:12 Becoming Valedictorian of Columbia at 19 02:31:24 What happened at OpenAI 02:46:00 Intelligence explosion 03:26:47 Alignment 03:42:15 On Germany, and understanding foreign perspectives 03:57:53 Dwarkesh's immigration story and path to the podcast 04:03:16 Random questions 04:08:47 Launching an AGI hedge fund 04:20:03 Lessons from WWII 04:29:57 Coda: Frederick the Great

Segments Timeline

1
0:00 - 2:07
2:07 duration446 words

The Trillion-Dollar Cluster Explained

Leopold Aschenbrenner discusses the concept of the trillion-dollar cluster, emphasizing the industrial nature of AI development. He highlights the massive investments required for building AI infrastructure, including power plants and data centers, and the implications of this acceleration for the future of AI and global power dynamics.

"What will be at stake will  not just be cool products  But whether liberal democracy survives, Whether the CCP survives, what the world   order for the next century is going to be The CCP is going to ..."

2
2:07 - 4:30
2:22 duration351 words

AI's Industrial Revolution

Aschenbrenner elaborates on the rapid growth of AI investments, particularly in data centers, and the projected costs associated with building the necessary infrastructure. He discusses the historical context of AI's evolution and the significant financial stakes involved in maintaining technological superiority.

"tell me about the trillion-dollar cluster. Unlike most things that have recently come   out of Silicon Valley, AI is an industrial  process. The next model doesn’t just require   some code. It’s build..."

3
4:30 - 6:59
2:29 duration435 words

Revenue Projections and AI's Future

The conversation shifts to the financial aspects of AI development, with Aschenbrenner estimating the potential revenue from AI products. He explores the feasibility of achieving $100 billion in annual revenue from AI and the implications for major tech companies as they invest heavily in AI capabilities.

"most of them will be inference GPUs. US power  production has barely grown for decades.   Now we’re really in for a ride. When I had Zuck on the podcast,   he was claiming not a plateau per se, but th..."

4
6:59 - 9:39
2:39 duration415 words

Unlocking AI's Potential: The Unhobbling Process

Aschenbrenner introduces the concept of 'unhobbling' in AI, discussing how current models are limited and the potential for future models to operate as agents rather than mere chatbots. He emphasizes the importance of integrating advanced AI systems into workflows to maximize their utility.

"how feasible is $100 billion a year from  AI revenue? It’s a lot more than right   now. If you believe in the trajectory of  AI systems as I do, it’s not that crazy.  There are like 300 million Micros..."

5
9:39 - 12:54
3:15 duration498 words

The Path to True AGI

The discussion focuses on the timeline for achieving true AGI, with Aschenbrenner predicting that by 2027-2028, AI will reach a level of intelligence comparable to the smartest experts. He outlines the challenges and opportunities in developing AI that can perform complex tasks autonomously.

"interacting with them like coworkers. You  can do Zoom calls and Slack with them. You   can ask them to do a project and they go off and  write a first draft, get feedback, run tests on   their code, ..."

6
12:54 - 15:22
2:27 duration402 words

The Role of Pre-Training in AI Development

Aschenbrenner explains the significance of pre-training in AI models, arguing that it provides a foundational advantage for developing general intelligence. He contrasts this with the challenges faced in robotics and the need for models to learn independently.

"Again, if it’s 100 tokens a minute, a few million  tokens is a few months of working time. There’s a   lot more you can do in a few months of working  time than just getting an answer right now. The  ..."

7
15:22 - 18:06
2:44 duration407 words

Learning by Doing: The Future of AI Training

The segment concludes with a discussion on the importance of self-directed learning for AI models. Aschenbrenner draws parallels between human learning processes and AI development, suggesting that future models will need to engage in deeper, more meaningful learning to unlock their full potential.

"First of all, pre-training is magical.  It gave us a huge advantage for models of   general intelligence because you can predict the  next token. But there’s a common misconception.   Predicting the n..."

8
17:55 - 20:07
2:11 duration351 words

Learning Like Humans

In this segment, Aschenbrenner draws parallels between human learning processes and AI training. He explains how self-directed learning, akin to studying a dense textbook, can lead to deeper understanding and retention, and discusses the implications of in-context learning for AI models, highlighting the importance of practice and failure in the learning journey.

"I don’t know, between six months and three  years. But it's possible. It’s also very   related to the issue of the data wall. Here’s one  intuition on learning by yourself. Pre-training   is kind of l..."

9
20:07 - 22:00
1:53 duration320 words

The 2023 AI Explosion

Aschenbrenner reflects on the pivotal year of 2023 for AI, marked by the explosive popularity of ChatGPT and GPT-4. He discusses the resulting surge in capital investments and revenue for AI companies, predicting that the momentum will continue to build, leading to significant advancements and a shift in public perception regarding AGI.

"By the way, if that take sounds familiar it's  because it was part of the question I asked   John Schulman. It goes to illustrate the thing  I said in the intro. A bunch of the things I've   learned a..."

10
22:00 - 24:09
2:08 duration374 words

The Future of AGI and Economic Impact

This segment explores the potential economic and political ramifications of AGI as it becomes more integrated into the workforce. Aschenbrenner speculates on the societal reactions to AI replacing jobs and the broader implications for national security, particularly in the context of the US-China superintelligence race.

"as somebody who was really following the AI stuff. What were you doing in 2023?  OpenAI. When you were at OpenAI in 2023, it was a  weird thing. You almost didn't want to talk about   AI or AGI. It wa..."

11
24:09 - 26:42
2:32 duration417 words

The Intelligence Explosion

Aschenbrenner delves into the concept of the intelligence explosion, where AGI could rapidly advance AI research and development. He discusses the potential for AI to automate cognitive jobs, leading to a rapid acceleration of technological progress and the implications for military competition and national power.

"worker. Your stuff is not going to matter. So that's done. SF, this crowd, is paying   attention now. Who is going to be paying  attention in 2026 and 2027? Presumably,   these are years in which hund..."

12
26:42 - 29:11
2:28 duration372 words

Geopolitical Tensions and AI Espionage

In this segment, Aschenbrenner highlights the geopolitical stakes surrounding AI development, particularly the potential for espionage and competition between the US and China. He emphasizes the urgency for nations to recognize the strategic importance of superintelligence and the lengths to which countries may go to secure their AI capabilities.

"They’re superbly competent at all things. They're going to figure out robotics. We   talked about that being a software problem. Well,  you have a billion super smart — smarter than the   smartest hum..."

13
29:11 - 31:39
2:28 duration416 words

The Race for Superintelligence

Aschenbrenner discusses the implications of the race for superintelligence, considering how quickly advancements could occur once AGI is achieved. He speculates on the transformative effects this could have on various sectors, including military and technological fields, and the potential for a decisive advantage in global power dynamics.

"it's going to be an extremely  intense international competition.  One thing I'm uncertain about in this picture  is if it’s like what you say, where it's more   of an explosion. You’ve developed an A..."

14
31:39 - 34:09
2:29 duration339 words

Historical Context and Future Stakes

In this concluding segment, Aschenbrenner reflects on the historical context of technological competition, drawing parallels to past global conflicts. He raises critical questions about whether current leaders will recognize the stakes involved in the AI race and the potential for significant geopolitical shifts as nations respond to the emerging realities of superintelligence.

"more people. The trend lines will become clear. You will see some amount of the COVID dynamic.   COVID in February of 2020 honestly feels a lot  like today. It feels like this utterly crazy thing   is..."

15
33:30 - 35:56
2:26 duration328 words

History's Return and Global Stakes

Aschenbrenner reflects on the historical context of global conflicts and the stakes involved in the superintelligence race. He compares the current geopolitical climate to past wars, emphasizing the need for the U.S. to recognize the high stakes of competition with China. The discussion underscores the importance of understanding history to navigate future challenges in international relations.

"Again, a lot of this really depends on how  much people are feeling it and how much people   are seeing it. Our generation is so used to  peace, American hegemony and nothing matters.   The historical..."

16
35:56 - 38:03
2:06 duration359 words

The Dangers of Superintelligence

In this segment, Aschenbrenner explores the terrifying possibilities that superintelligence could bring, particularly in authoritarian regimes. He discusses how advanced technologies could enable oppressive governments to maintain control and eliminate dissent. The conversation raises critical questions about the future of democracy and the potential for dictatorship in the age of superintelligence.

"The great power conflict definitely seems  compelling. All kinds of different things   seem much more likely when you think  from a historical perspective. You   zoom out beyond the liberal democracy ..."

17
38:03 - 40:07
2:04 duration348 words

The Role of AI Researchers in China

Aschenbrenner questions the motivations of AI researchers in China who may be contributing to the CCP's agenda. He discusses the potential for Western-educated researchers to resist authoritarian control and the implications for global AI development. This segment highlights the human element in the technological race and the ethical considerations surrounding AI research.

"things I took away from growing up in Germany. A  lot of this stuff feels more visceral. My mother   grew up in the former East, my father in the  former West. They met shortly after the Wall fell.   ..."

18
40:07 - 41:14
1:07 duration209 words

The Power Dynamics in AI Labs

This segment delves into the shifting power dynamics within AI labs, where employees currently hold significant influence. Aschenbrenner warns that this power may diminish as automation increases. He draws parallels to historical events, emphasizing the need for lab employees to recognize their current leverage and use it wisely in the face of impending changes.

"Will they be in charge though? In some  sense, this is also the case in the   US. This is like the rapidly depreciating  influence of the lab employees. Right now,   the AI lab employees have so much ..."

19
41:14 - 43:29
2:14 duration407 words

National Security and AI Clusters

Aschenbrenner discusses the strategic importance of building AI clusters in the U.S. versus authoritarian regimes. He highlights the risks associated with outsourcing AI development to countries like the UAE, where security concerns could arise. The conversation emphasizes the need for the U.S. to maintain control over AI technology to prevent potential threats from adversarial nations.

"Interesting. Let's go back to the $100 billion  revenue question. The companies are trying to   build clusters that are this big. Where  are they building it? Say it's the amount   of energy that woul..."

20
43:29 - 45:01
1:31 duration288 words

The Compute Ratio and Global Competition

In this segment, Aschenbrenner explains the significance of compute ratios in the context of AI development. He discusses how a slight advantage in computational power could lead to significant geopolitical consequences. The conversation highlights the urgency of maintaining a competitive edge in AI technology to prevent adversaries from gaining the upper hand.

"Another thing is they can just seize the compute.  The issue here is people right now are thinking   of this as ChatGPT, Big Tech product  clusters. The clusters being planned now,   three to five yea..."

21
45:01 - 46:40
1:39 duration261 words

Navigating the AI Arms Race

Aschenbrenner outlines the potential dangers of an AI arms race, particularly in a scenario where the U.S. and China are in close competition. He emphasizes the importance of strategic planning and caution to avoid self-destructive outcomes. This segment underscores the need for careful consideration of national security in the rapidly evolving landscape of AI technology.

"You can do a lot with 33 million extremely  smart scientists. That might be enough   to build the crazy bio weapons. Then  you're in a situation where they stole   the weights and they seized the comp..."

22
46:40 - 49:43
3:03 duration577 words

Paths to Building AI Clusters in the U.S.

Aschenbrenner discusses the feasibility of building AI clusters in the U.S. and the challenges involved. He presents two potential paths: utilizing natural gas or pursuing green energy projects. The conversation highlights the need for regulatory reform and a national commitment to ensure that the U.S. remains competitive in the global AI landscape.

"If you're in this really tight race, this  sort of feverish struggle, that's when   there's the greatest peril of self-destruction. Presumably the companies that are trying to build   clusters in the ..."

23
49:13 - 50:28
1:15 duration231 words

Natural Gas vs. Green Energy for AGI

Aschenbrenner outlines two potential paths for powering AGI clusters in the U.S.: utilizing natural gas or pursuing green energy megaprojects. He emphasizes the need for a deregulatory push to facilitate the development of renewable energy sources and the importance of balancing climate commitments with national security interests.

"I think natural gas production in the United  States has almost doubled in a decade. You do   that one more time over the next seven years, you  could power multiple trillion-dollar data centers.  The..."

24
50:28 - 52:06
1:38 duration265 words

Lessons from WWII Industrial Mobilization

Reflecting on World War II, Aschenbrenner draws parallels between past industrial mobilization in the U.S. and current challenges in AGI development. He discusses labor agitation during the war and the latent industrial capacity that eventually led to rapid mobilization, suggesting that similar potential exists today despite current obstacles.

"We have to do at least one. Then this  stuff is possible in the United States.  Before the conversation I was reading a good book  about World War II industrial mobilization in the   United States cal..."

25
52:06 - 53:02
0:55 duration197 words

China's Industrial Capacity and AGI

Aschenbrenner examines China's industrial capabilities in the context of the AGI race. He warns against underestimating China's potential to scale up AI production and emphasizes the need for the U.S. to remain vigilant and proactive in its approach to AGI development and competition.

"It wasn’ just that. Before 1939, the American  military was in total shambles. You read about   it and it reads a little bit like the German  military today. Military expenditures were I think   less ..."

26
53:02 - 54:31
1:28 duration231 words

The Middle East's Role in the AGI Landscape

Discussing the geopolitical implications of AGI, Aschenbrenner argues that if the U.S. does not engage with Middle Eastern countries, they may turn to China for AI development. He advocates for a coalition of democracies to lead AGI development while also considering the interests of other nations, including those with authoritarian regimes.

"some point, the same way the United States and  a lot of people in the US government are going   to wake up, the CCP is going to wake up. Companies realize that scaling is a thing.   Obviously their w..."

27
54:31 - 56:41
2:10 duration342 words

The Bidding War for AGI

Aschenbrenner raises concerns about the potential for a bidding war over AGI technology among global powers. He reflects on past strategies employed by OpenAI to leverage competition between the U.S., China, and Russia, questioning the ethics and implications of such an approach in the context of national security.

"work with them, they'll just support China. There's some merit to the argument in the   sense that we should be doing benefit-sharing  with them. On the road to AGI, there should be   two tiers of coa..."

28
56:41 - 1:00:39
3:58 duration712 words

Espionage and the Threat of AI Theft

In this segment, Aschenbrenner discusses the risks of espionage in the AI sector, highlighting the ease with which sensitive information can be stolen. He emphasizes the importance of securing AI algorithms and the potential consequences of losing proprietary technology to adversaries like China.

"Suppose you're right. We ended up in this place  because, as one of our friends put it, the Middle   East has billions or trillions of dollars up  for persuasion like no other place in the world.  Wit..."

29
1:00:39 - 1:02:55
2:15 duration415 words

The Secrets Behind AGI Development

Aschenbrenner delves into the significance of secrets in the race for AGI, arguing that while compute power is crucial, the underlying algorithms and insights are equally important. He discusses the need for robust security measures to protect intellectual property and the implications of sharing knowledge in the AI community.

"espionage, it needs to be much more intense. The thing that people aren't paying enough   attention to is the secrets. The compute stuff is  sexy, but people underrate the secrets. The half   an order..."

30
1:02:55 - 1:05:23
2:27 duration431 words

Historical Parallels in Secrecy and Innovation

Drawing historical parallels, Aschenbrenner reflects on the secrecy surrounding the development of the atomic bomb during WWII. He questions whether the current AI landscape will repeat past mistakes regarding information sharing and the potential consequences of premature disclosure of critical advancements.

"all this stuff was published until recently. Look at Chinchilla Scaling laws, MoE papers,   transformers. All that stuff was published.  That's why open source is good and why China   can make some go..."

31
1:05:13 - 1:06:59
1:46 duration339 words

The Race for AI Superiority

Aschenbrenner explores the competitive landscape of AI development, emphasizing that even a small lead can have significant implications. He discusses the potential for an intelligence explosion and how a slight advantage in AI capabilities could lead to drastic changes in global power dynamics, echoing historical patterns of technological advancement.

"The reason this would matter is if being  one year ahead would be a huge advantage.   In the world where you deploy AI over time  they're just going to catch up anyway.  I interviewed Richard  Rhodes,..."

32
1:06:59 - 1:08:39
1:40 duration297 words

The Dangers of a Neck-and-Neck Race

This segment delves into the risks associated with a close race in AI development between the U.S. and China. Aschenbrenner warns that a minimal lead could lead to dangerous military escalations and the emergence of new weapons of mass destruction. He stresses the need for careful alignment and strategic planning to navigate this volatile landscape.

"might be the difference between a system that's  sort of human-level and a system that is vastly   superhuman. It might be like five OOMs. Look at the current pace. Three years ago,   on the math benc..."

33
1:08:39 - 1:09:30
0:50 duration139 words

Geopolitical Implications of AI

Aschenbrenner highlights the often-overlooked geopolitical implications of AI advancements. He argues that the ongoing scaling of AI technology will reshape global relations and national security, similar to how COVID-19 shifted priorities worldwide. The segment emphasizes the urgency for leaders to recognize and address these emerging challenges.

"So you have to look at it from the point of  view that these technologies are dangerous,   from the alignment point of view. It might be  really important during the intelligence explosion   to have a..."