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Moonshots with Peter Diamandis

Demis Hassabis on AGI, Robots Scale Production, and Elon’s $1T Mars-Shot Comp | EP #253

Moonshots with Peter Diamandis

PHD Ventures

Business

4.8605 Ratings

🗓️ 7 May 2026

⏱️ 94 minutes

🧾️ Download transcript

Summary

This episode features a dynamic panel discussion on exponential technologies, AI advancements, robotics, and the future of humanity. Experts explore the implications of AI, robotics, biotech, and societal shifts, offering insights into what the next decade holds for innovation and civilization. Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Steven Kotler is a New York Times bestselling author, and founder of the Flow Research Collective and Flow Institute, known for his work on flow and human performance. Salim Ismail is the founder of OpenExO Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding      Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   Your body is incredibly good at hiding disease. Schedule a call with Fountain Life to add healthy decades to your life, and to learn more about their Memberships: https://www.fountainlife.com/peter  _ Connect with Peter: X Instagram Substack Website Xprize Connect with Steven X Instagram LinkedIn Website Connect with Dave: Web X LinkedIn Instagram TikTok Connect with Salim: X Join Salim's Workshop to build your ExO  Connect with Alex Website LinkedIn X Email Substack  Spotify Threads Listen to MOONSHOTS: Apple YouTube – *Recorded on May 4th, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

Demis Hesabas, the CEO of Deep Mind, says AGI may not need a major breakthrough.

0:07.8

I've argued in the past that we achieved AGI in the summer of 2020.

0:12.5

We know, I would argue, what AGI is, and we know how...

0:17.4

Please define it for me.

0:26.6

Figure AI, they've increased production from one robot per day to one robot per hour. Their target is 100,000 robots between now and 2030.

0:30.6

OneX Technologies production goal is 10,000 robots this year.

0:35.6

100,000 in 2027. The prediction that comes both from Elon and from

0:39.9

Brad Adcock, up to 10 billion humanoid robots by 2040.

0:43.9

It's probably right. What I think is perhaps even more interesting is what does a post-humanoid

0:48.8

robot form factor look like? There's the kinds of conversations and imaginations that one can have in this,

0:56.4

you know, exponential singularity that we're living in.

1:01.9

Now that's the moonshot, ladies and gentlemen.

1:15.6

Everybody, welcome to a special episode of Moonshots here at MIT. This is a conversation around all things happening to uplift humanity.

1:21.6

You know, I want to read something I wrote this morning as an introduction to today's episode because it's important.

1:28.3

So welcome to Moonshots where we distill the singularity.

1:32.3

No politics, no bullshit, just the technology that changes the world, the breakthroughs,

1:39.3

helping us uplift humanity, the news that matters most, changing our world, impacting our companies

1:45.6

and our families, our mission to help you understand what it is, why it matters with a dose of

1:53.0

optimism. So any fans of Moonshots here in the audience today? Nice. Love it. It is an honor and a pleasure. One of the things, you know, last night I was going to sleep, I just had this sense of absolute gratitude for the people in my life who I love and have a chance to work with. I like to bring them on stage. First up, the man who is my guru on all

2:21.3

things exponential investing. Let's give it up for DB2, Dave Blundon.

2:31.3

Welcome back to MIT.

2:33.3

Thank you, Thank you.

...

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