OpenAI’s Sam Altman sits for an interview with Nicholas Thompson, CEO of The Atlantic, to discuss AI’s trustworthiness, its dangers, and its impact on young people. Altman also discusses his company’s pledge to “stop competing and start assisting” rival projects that approach AGI, and why he thinks we’re not there yet. In a thorough and wide-ranging conversation, Altman opens up about where he thinks AI will go next and the mysteries that he still can’t solve.

Recorded at OpenAI’s offices in San Francisco.

(00:00) Introduction

(02:33) Is our understanding of AI keeping pace with its growth in power?

(05:10) Is chain-of-thought the key to trusting a model?

(11:07) Open source AI, cybersecurity, and "infected" agents

(16:26) Have we hit recursive self-improvement?

(19:18) What does AI do on Sam Altman's computer?

(21:15) Why hasn't AI made an impact in business yet?

(24:04) Will AI make the wealth gap worse?

(27:01) Why do young people hate AI? 

(30:23) The challenges of AI sycophancy 

(33:36) Do you regret making AI so human-like? 

(36:53) Synthetic data and "mad cow disease" 

(39:22) The future of publishing and media 

(41:54) Do we need neurosymbolic AI? 

(43:40) Will you cooperate with Anthropic if they get to AGI first? 

(47:42) What is your advice to parents who are anxious for their kids' future? 

(49:46) If you had infinite resources, what would you pursue??

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AI needs data centers, and those data centers need energy and cooling. Recently, one proposal has captured the popular imagination: put data centers in space, where there’s ample solar energy and naturally cool surroundings. But things aren’t quite that simple, says space architect Ariel Ekblaw of the Aurelia Institute.

On this episode of The Most Interesting Thing in AI, Ekblaw talks with The Atlantic CEO Nicholas Thompson about the possibilities for building structures in space, the innovative designs coming out of the Aurelia Institute, and why data centers in space are a good idea… for certain billionaires. 

Produced in collaboration with PwC.

(00:00) Introduction

(02:22) What is a space architect? 

(04:45) How does someone become a space architect?

(07:39) How do "space Magna-Tiles" work?

(11:00) Why build in space?

(12:45) Will we have chatbots in space?

(15:00) How space will change robotics

(16:56) Why would anyone want to live in space? 

(19:55) Will we actually go to space soon? 

(20:49) Artificial gravity

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Where does AI go next? And what happens to us? Join The Atlantic’s CEO Nicholas Thompson as he speaks with leaders, developers, philosophers, and more about AI’s impacts, present and future. New episodes every Wednesday, starting April 22. 

Produced in collaboration with PwC.

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In this episode, The Atlantic’s CEO Nicholas Thompson speaks with serial entrepreneur and Idealab founder Bill Gross about his latest venture, ProRata, a bold attempt to create a fair exchange of value between AI companies and the creators whose work helped train their models. From inventing search advertising to tackling one of AI’s most urgent ethical challenges, Gross explains how innovation and fair market dynamics can align—and how humans are still underestimating the transformative power of AI.

(00:00) Introduction

(06:32) How Bill invented paid search in the 1990s

(13:29) NYT v. OpenAI as the “lightning strike moment” that inspired ProRata

(16:16) Solving the “impossible problem” of AI attribution

(21:36) ProRata’s plan for revenue sharing between creators and AI companies

(24:13) How YouTube shows revenue sharing could make AI companies even stronger

(28:20) When there will be a one-person company with a billion-dollar valuation

(29:23) AI could be net positive for the climate in as little as five years

(33:01) The most interesting way Bill has used AI recently

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What happens when AI learns faster than its makers can control? In this episode, Nicholas talks with Navrina Singh, founder and CEO of Credo AI, about how regulation could actually accelerate innovation of more responsible, transparent AI. Together, they dig into how governance can help the U.S. compete with China, prevent bias, and keep trust and transparency at the center of the AI revolution.

(00:00) Introduction

(04:09) What we learned from Microsoft’s Tay disaster

(06:58) Why Navrina started Credo AI

(11:12) Managing risk across the AI supply chain

(12:43) Preventing bias in customer support chatbots

(17:54) Is AI making the world less equal?

(19:40) Ethics vs. speed in the AI race with China

(21:40) How governance leads to better, faster products

(28:04) Why there’s no perfect AI regulation right now

(31:14) Preparing for a world where AI governs itself

(34:15) The most interesting way Navrina has used AI

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The space race has gone private, and in this new world, efficiency is key. United Launch Alliance CEO Tory Bruno explains how a legacy rocket maker remade itself to compete in an industry full of startups. From load analysis and low-earth-orbit satellite monitoring to rockets with autonomous flight systems, Bruno unpacks what happens when machine learning meets computational fluid dynamics in our atmosphere. Plus, why AI might be critical to landing  a man on Mars—and getting them home alive.

(00:00) Introduction

(01:38) From backyard rockets to Boeing and Lockheed (Tory Bruno)

(03:58) Transforming ULA for a new space race

(06:09) The physics of launch: energy, precision, and peril

(08:41) Reprogramming flight paths with AI

(10:55) The coming age of autonomous and reusable rockets

(16:27) When we'll really send humans to Mars—and bring them back

(19:36) How AI could help us find, and talk to, alien life

(29:20) AI in the space economy (Joe Schurman)

(34:16) The $2 trillion future of space

(37:51) The most interesting way Joe has used AI

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How do you digitize the physical world? In this episode, Nick talks with University of Glasgow chemistry professor Lee Cronin, founder of Chemify—a company that is using AI to turn molecules to code s—about his quest to create a programming language for chemistry, what it means to “print” molecules, and how his team is able to discover new drugs and materials through their “chemputer.” He also discusses how the work is offering new insights into the origins of life on Earth and how to identify it on other planets.

(00:00) Introduction

(01:45) From setting fires to studying life

(05:00) Creating a programming language for chemistry

(09:20) Designing and “printing” new molecules

(10:45) How hype has distorted AI’s promise

(14:17) From sand to cells: the origin of life

(16:01) Assembly theory and the bridge from nonlife to life

(19:15) What it would take for AI to come alive

(23:48) The most interesting way Lee has used AI

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What does it take to succeed in the disruptive world of AI? In this episode, Atlantic CEO Nicholas Thompson sits down with Matt Wood, PwC’s Global  and U.S. Commercial Technology and Innovation Officer, to trace his path from medical school and protein folding research to Amazon Web Services and now PwC. They discuss the transformative power of AI; why, when disruptive forces emerge, companies may be better off doubling down on their core identity rather than reinventing themselves; and how the organizations of the future may be reshaped by autonomous agents working alongside humans.

(00:00) Introduction

(02:16) Matt's path from medicine to machine learning

(05:47) The Human Genome Project and the data explosion

(09:28) The AI inflection point

(11:41) Why AI’s biggest impact will be organizational, not technical

(13:30) How companies navigate disruption without losing identity

(19:18) The coming flattening of organizations

(22:02) Managing teams of humans and agents

(25:41) The most interesting way Matt has used AI

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Can AI unlock your full potential as an athlete? In this episode, Nicholas speaks with Will Ahmed, founder and CEO of Whoop, about how wearable technology and AI are transforming health, performance, and longevity. From monitoring sleep and recovery to analyzing biomarkers and offering personal health insights, Ahmed shares how Whoop is pushing the boundaries of what’s possible in healthcare in the age of AI. 

(00:00) Introduction

(02:09) What WHOOP measures and how it works

(09:20) What new metrics could reveal about the mind and body

(15:25) How AI advances are changing WHOOP

(18:16) Balancing personalization with privacy

(24:00) Measuring health span and longevity

(24:37) When performance and health diverge

(27:31) The future of preventative, AI-driven health

(30:39) The most interesting way Will has used AI

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In this episode, Atlantic CEO Nicholas Thompson speaks with Ohad Elhelo, co-founder and CEO of AUI, about neuro-symbolic systems. Apollo-1, AUI's neuro-symbolic foundational model, promises both the fluency of generative models and the reliability of symbolic reasoning, an AI method that uses symbols and explicit rules to represent knowledge and perform logical inference. Could this hybrid architecture finally unlock task-oriented AI at scale?

(00:00) Introduction

(02:57) A rift in the AI community

(04:59)  Why neuro-symbolic AI could succeed where chatbots have failed

(12:04) How AUI built its model

(19:11) How to solve the hallucination problem

(25:46) Business use cases for neuro-symbolic AI

(30:48) What happens once Apollo One launches

(35:03) The most interesting way Ohad has used AI

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