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Elon Musk — "In 36 months, the cheapest place to put AI will be space”

Dwarkesh Podcast

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In this episode, John and I got to do a real deep-dive with Elon. We discuss the economics of orbital data centers, the difficulties of scaling power on Earth, what it would take to manufacture humanoids at high-volume in America, xAI’s business and alignment plans, DOGE, and much more. Watch on YouTube [https://youtu.be/BYXbuik3dgA]; read the transcript [https://www.dwarkesh.com/p/elon-musk]. Sponsors * Mercury [https://mercury.com/personal-banking] just started offering personal banking! I’m already banking with Mercury for business purposes, so getting to bank with them for my personal life makes everything so much simpler. Apply now at mercury.com/personal-banking [https://mercury.com/personal-banking] * Jane Street [https://janestreet.com/dwarkesh] sent me a new puzzle last week: they trained a neural net, shuffled all 96 layers, and asked me to put them back in order. I tried but… I didn’t quite nail it. If you’re curious, or if you think you can do better, you should take a stab at janestreet.com/dwarkesh [https://janestreet.com/dwarkesh] * Labelbox [https://labelbox.com/dwarkesh] can get you robotics and RL data at scale. Labelbox starts by helping you define your ideal data distribution, and then their massive Alignerr network collects frontier-grade data that you can use to train your models. Learn more at labelbox.com/dwarkesh [https://labelbox.com/dwarkesh] Timestamps (00:00:00) - Orbital data centers (00:36:46) - Grok and alignment (00:59:56) - xAI’s business plan (01:17:21) - Optimus and humanoid manufacturing (01:30:22) - Does China win by default? (01:44:16) - Lessons from running SpaceX (02:20:08) - DOGE (02:38:28) - TeraFab Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe [https://www.dwarkesh.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

Highlights

In this wide-ranging conversation, Elon Musk and the host explore the intersection of AI, robotics, space infrastructure, and industrial policy—focusing on concrete engineering challenges and long-term civilizational goals.
02:43
Elon Musk predicts space will be the cheapest and most scalable place for AI in 30–36 months
50:04
The best verifier for RL is reality, and future RL should test technology against the laws of physics.
1:13:20
Pure AI and robotics corporations will outperform those with human involvement quickly
1:24:22
Grok AI from XAI will orchestrate Optimus robot behavior
1:33:43
The U.S. birth rate is low, so it may not compete with China on the human front but could have a chance with robots
2:01:30
Stainless steel outperforms carbon fiber for Starship at cryogenic temperatures—50x cheaper, easier to weld, and enables reduced heat shield mass
2:30:26
The government, as the largest corporation with a monopoly on violence, may be the biggest danger to AI and robotics
2:45:06
Chips are the long-term bottleneck; energy is the short-term constraint for AI development

Chapters

Orbital data centers
00:00
Grok and alignment
36:46
xAI’s business plan
59:56
Optimus and humanoid manufacturing
1:17:21
Does China win by default?
1:30:22
Lessons from running SpaceX
1:44:16
DOGE
2:20:08
TeraFab
2:38:28

Transcript

Elon Musk: So are there really three hours of questions? Or are you fucking serious? Yeah. Dwarkesh Patel: You don't think there's a lot to talk about, Elon? Elon Musk: Holy fuck, man. John: I mean, it's the most interesting point. All the storylines ar...