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Audrey Tang was the youngest minister in Taiwanese history. Now she's working to align AI with democratic principles as Taiwan's Cyber Ambassador.
In this debate, I probe her P(doom) and stress-test her vision for safe AI development.
Timestamps
00:00:00 — Episode Preview
00:01:43 — Introducing Audrey Tang, Cyber Ambassador of Taiwan
00:07:20 — Being Taiwan’s First Digital Minister
00:17:19 — What's Your P(Doom)? ™
00:21:10 — Comparing AI Risk to Nuclear Risk
00:22:53 — The Statement on AI Extinction Risk
00:27:29 — Doomerism as a Hyperstition
00:30:51 — Audrey Explains Her Vision of "Plurality"
00:37:17 — Audrey Explains Her Principles of Civic Ethics, The "6-Pack of Care"
00:45:58 — AGI Timelines: "It's Already Here"
00:54:41 — The Apple Analogy
01:03:09 — What If AI FOOMs?
01:11:19 — What AI Can vs What AI Will Do
01:15:20 — Lessons from COVID-19
01:19:59 — Is Society Ready? Audrey Reflects on a Personal Experience with Mortality
01:23:50 — AI Alignment Cannot Be Top-Down
01:34:04 — AI-as-Mother vs AI-as-Gardener
01:37:26 — China and the Geopolitics of AI Chip Manufacturing in Taiwan
01:40:47 — Red Lines, International Treaties, and the Off Button
01:48:26 — Debate Wrap-Up
Links
Plurality: The Future of Collaborative Technology and Democracy by Glen Weyl and Audrey Tang — https://www.amazon.com/Plurality-Future-Collaborative-Technology-Democracy/dp/B0D98RPKCK
Audrey’s X — https://x.com/audreyt
Audrey’s Wikipedia — https://en.wikipedia.org/wiki/Audrey_Tang
Doom Debates’ Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.
Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏
I joined Steve Bannon’s War Room Battleground to talk about AI doom.
Hosted by Joe Allen, we cover AGI timelines, raising kids with a high p(doom), and why improving our survival odds requires a global wake-up call.
00:00:00 — Episode Preview
00:01:17 — Joe Allen opens the show and introduces Liron Shapira
00:04:06 — Liron: What’s Your P(Doom)?
00:05:37 — How Would an AI Take Over?
00:07:20 — The Timeline to AGI
00:08:17 — Benchmarks & AI Passing the Turing Test
00:14:43 — Liron Is Typically a Techno-Optimist
00:18:00 — Raising a Family with a High P(Doom)
00:23:48 — Mobilizing a Grassroots AI Survival Campaign
00:26:45 — Final Message: A Wake-Up Call
00:29:23 — Joe Allen’s Closing Message to the War Room Posse
Links:
Joe’s Substack — https://substack.com/@joebot
Joe’s Twitter — https://x.com/JOEBOTxyz
Bannon’s War Room Twitter — https://x.com/Bannons_WarRoom
WarRoom Battleground EP 922: AI Doom Debates with Liron Shapira on Rumble — https://rumble.com/v742oo4-warroom-battleground-ep-922-ai-doom-debates-with-liron-shapira.html
Doom Debates’ Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.
Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏
Economist Noah Smith is the author of Noahpinion, one of the most popular Substacks in the world.
Far from worrying about human extinction from superintelligent AI, Noah is optimistic AI will create a world where humans still have plentiful, high-paying jobs!
In this debate, I stress-test his rosy outlook. Let’s see if Noah can instill us with more confidence about humanity’s rapidly approaching AI future.
Timestamps
00:00:00 - Episode Preview
00:01:41 - Introducing Noah Smith
00:03:19 - What’s Your P(Doom)™
00:04:40 - Good vs. Bad Transhumanist Outcomes
00:15:17 - Catastrophe vs. Total Extinction
00:17:15 - Mechanisms of Doom
00:27:16 - The AI Persuasion Risk
00:36:20 - Instrumental Convergence vs. Peace
00:53:08 - The “One AI” Breakout Scenario
01:01:18 - The “Stoner AI” Theory
01:08:49 - Importance of Reflective Stability
01:14:50 - Orthogonality & The Waymo Argument
01:21:18 - Comparative Advantage & Jobs
01:27:43 - Wealth Distribution & Robot Lords
01:34:34 - Supply Curves & Resource Constraints
01:43:38 - Policy of Reserving Human Resources
01:48:28 - Closing: The Case for Optimism
Links
Noah’s Substack — https://noahpinion.blog
“Plentiful, high-paying jobs in the age of AI” — https://www.noahpinion.blog/p/plentiful-high-paying-jobs-in-the
“My thoughts on AI safety” — https://www.noahpinion.blog/p/my-thoughts-on-ai-safety
Noah’s Twitter — https://x.com/noahpinion
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Doom Debates’ Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.
Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏
In September of 2023, when OpenAI’s GPT-4 was still a fresh innovation and people were just beginning to wrap their heads around large language models, I was invited to debate Beff Jezos, Bayeslord, and other prominent “effective accelerationists” a.k.a. “e/acc” folks on an X Space.
E/acc’s think building artificial superintelligence is unlikely to disempower humanity and doom the future, because that’d be an illegal exception to the rule that accelerating new technology is always the highest-expected-value for humanity.
As you know, I disagree — I think doom is extremely likely and imminent possibility.
This debate took place 9 months before I started Doom Debates, and was one of the experiences that made me realize debating AI doom was my calling. It’s also the only time Beff Jezos has ever not been too chicken to debate me.
Timestamps
00:00:00 — Liron’s New Intro
00:04:15 — Debate Starts Here: Litigating FOOM
00:06:18 — Defining the Recursive Feedback Loop
00:15:05 — The Two-Part Doomer Thesis
00:26:00 — When Does a Tool Become an Agent?
00:44:02 — The Argument for Convergent Architecture
00:46:20 — Mathematical Objections: Ergodicity and Eigenvalues
01:03:46 — Bayeslord Enters: Why Speed Doesn’t Matter
01:12:40 — Beff Jezos Enters: Physical Priors vs. Internet Data
01:13:49 — The 5% Probability of Doom by GPT-5
01:20:09 — Chaos Theory and Prediction Limits
01:27:56 — Algorithms vs. Hardware Constraints
01:35:20 — Galactic Resources vs. Human Extermination
01:54:13 — The Intelligence Bootstrapping Script Scenario
02:02:13 — The 10-Megabyte AI Virus Debate
02:11:54 — The Nuclear Analogy: Noise Canceling vs. Rubble
02:37:39 — Controlling Intelligence: The Roman Empire Analogy
02:44:53 — Real-World Latency and API Rate Limits
03:03:11 — The Difficulty of the Off Button
03:24:47 — Why Liron is “e/acc at Heart”
Doom Debates’ Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.
Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏
AGI timelines, offense/defense balance, evolution vs engineering, how to lower P(Doom), Eliezer Yudkowksy, and much more!
Timestamps:
00:00 Trailer
03:10 Is My P(Doom) Lowering?
11:29 First Caller: AI Offense vs Defense Balance
16:50 Superintelligence Skepticism
25:05 Agency and AI Goals
29:06 Communicating AI Risk
36:35 Attack vs Defense Equilibrium
38:22 Can We Solve Outer Alignment?
54:47 What is Your P(Pocket Nukes)?
1:00:05 The “Shoggoth” Metaphor Is Outdated
1:06:23 Should I Reframe the P(Doom) Question?
1:12:22 How YOU Can Make a Difference
1:24:43 Can AGI Beat Biology?
1:39:22 Agency and Convergent Goals
1:59:56 Viewer Poll: What Content Should I Make?
2:26:15 AI Warning Shots
2:32:12 More Listener Questions: Debate Tactics, Getting a PhD, Specificity
2:53:53 Closing Thoughts
Links:
Support PauseAI — https://pauseai.info/
Support PauseAI US — https://www.pauseai-us.org/
Support LessWrong / Lightcone Infrastructure — LessWrong is fundraising!
Support MIRI — MIRI’s 2025 Fundraiser
About the show:
Doom Debates’ Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.
Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏
Devin Elliot is a former pro snowboarder turned software engineer who has logged thousands of hours building AI systems. His P(Doom) is a flat ⚫. He argues that worrying about an AI takeover is as irrational as fearing your car will sprout wings and fly away.
We spar over the hard limits of current models: Devin insists LLMs are hitting a wall, relying entirely on external software “wrappers” to feign intelligence. I push back, arguing that raw models are already demonstrating native reasoning and algorithmic capabilities.
Devin also argues for decentralization by claiming that nuclear proliferation is safer than centralized control.
We end on a massive timeline split: I see superintelligence in a decade, while he believes we’re a thousand years away from being able to “grow” computers that are truly intelligence.
Timestamps
00:00:00 Episode Preview
00:01:03 Intro: Snowboarder to Coder
00:03:30 "I Do Not Have a P(Doom)"
00:06:47 Nuclear Proliferation & Centralized Control
00:10:11 The "Spotify Quality" House Analogy
00:17:15 Ideal Geopolitics: Decentralized Power
00:25:22 Why AI Can't "Fly Away"
00:28:20 The Long Addition Test: Native or Tool?
00:38:26 Is Non-Determinism a Feature or a Bug?
00:52:01 The Impossibility of Mind Uploading
00:57:46 "Growing" Computers from Cells
01:02:52 Timelines: 10 Years vs. 1,000 Years
01:11:40 "Plastic Bag Ghosts" & Builder Intuition
01:13:17 Summary of the Debate
01:15:30 Closing Thoughts
Links
Devin’s Twitter — https://x.com/devinjelliot
---
Doom Debates’ Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.
Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏
Dr. Michael Timothy Bennett, Ph.D, is an award-winning young researcher who has developed a new formal framework for understanding intelligence. He has a TINY P(Doom) because he claims superintelligence will be resource-constrained and tend toward cooperation.
In this lively debate, I stress-test Michael’s framework and debate whether its theorized constraints will actually hold back superintelligent AI.
Timestamps
* 00:00 Trailer
* 01:41 Introducing Michael Timothy Bennett
* 04:33 What’s Your P(Doom)?™
* 10:51 Michael’s Thesis on Intelligence: “Abstraction Layers”, “Adaptation”, “Resource Efficiency”
* 25:36 Debate: Is Einstein Smarter Than a Rock?
* 39:07 “Embodiment”: Michael’s Unconventional Computation Theory vs Standard Computation
* 48:28 “W-Maxing”: Michael’s Intelligence Framework vs. a Goal-Oriented Framework
* 59:47 Debating AI Doom
* 1:09:49 Debating Instrumental Convergence
* 1:24:00 Where Do You Get Off The Doom Train™ — Identifying The Cruxes of Disagreement
* 1:44:13 Debating AGI Timelines
* 1:49:10 Final Recap
Links
Michael’s website — https://michaeltimothybennett.com
Michael’s Twitter — https://x.com/MiTiBennett
Michael’s latest paper, “How To Build Conscious Machines” — https://osf.io/preprints/thesiscommons/wehmg_v1?view_only
Doom Debates' Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.
Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏
My guest today achieved something EXTREMELY rare and impressive: Coming onto my show with an AI optimist position, then admitting he hadn’t thought of my counterarguments before, and updating his beliefs in realtime! Also, he won the 2013 Nobel Prize in computational biology.
I’m thrilled that Prof. Levitt understands the value of raising awareness about imminent extinction risk from superintelligent AI, and the value of debate as a tool to uncover the truth — the dual missions of Doom Debates!
Timestamps
0:00 — Trailer
1:18 — Introducing Michael Levitt
4:20 — The Evolution of Computing and AI
12:42 — Measuring Intelligence: Humans vs. AI
23:11 — The AI Doom Argument: Steering the Future
25:01 — Optimism, Pessimism, and Other Existential Risks
34:15 — What’s Your P(Doom)™
36:16 — Warning Shots and Global Regulation
55:28 — Comparing AI Risk to Pandemics and Nuclear War
1:01:49 — Wrap-Up
1:06:11 — Outro + New AI safety resource
Show Notes
Michael Levitt’s Twitter — https://x.com/MLevitt_NP2013
--
Michael Ellsberg, son of the legendary Pentagon Papers leaker Daniel Ellsberg, joins me to discuss the chilling parallels between his father’s nuclear war warnings and today’s race to AGI.
We discuss Michael’s 99% probability of doom, his personal experience being “obsoleted” by AI, and the urgent moral duty for insiders to blow the whistle on AI’s outsize risks.
Timestamps
0:00 Intro
1:29 Introducing Michael Ellsberg, His Father Daniel Ellsberg, and The Pentagon Papers
5:49 Vietnam War Parallels to AI: Lies and Escalation
25:23 The Doomsday Machine & Nuclear Insanity
48:49 Mutually Assured Destruction vs. Superintelligence Risk
55:10 Evolutionary Dynamics: Replicators and the End of the “Dream Time”
1:10:17 What’s Your P(doom)?™
1:14:49 Debating P(Doom) Disagreements
1:26:18 AI Unemployment Doom
1:39:14 Doom Psychology: How to Cope with Existential Risk
1:50:56 The “Joyless Singularity”: Aligned AI Might Still Freeze Humanity
2:09:00 A Call to Action for AI Insiders
Show Notes:
Michael Ellsberg’s website — https://www.ellsberg.com/
Michael’s Twitter — https://x.com/MichaelEllsberg
Daniel Ellsberg’s website — https://www.ellsberg.net/
The upcoming book, “Truth and Consequence” — https://geni.us/truthandconsequence
Michael’s AI-related substack “Mammalian Wetware” — https://mammalianwetware.substack.com/
Daniel’s debate with Bill Kristol in the run-up to the Iraq war — https://www.youtube.com/watch?v=HyvsDR3xnAg
--
Doom Debates’ Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.
Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏
Today's Debate: Should we ban the development of artificial superintelligence until scientists agree it is safe and controllable?
Arguing FOR banning superintelligence until there’s a scientific consensus that it’ll be done safely and controllably and with strong public buy-in: Max Tegmark. He is an MIT professor, bestselling author, and co-founder of the Future of Life Institute whose research has focused on artificial intelligence for the past 8 years.
Arguing AGAINST banning superintelligent AI development: Dean Ball. He is a Senior Fellow at the Foundation for American Innovation who served as a Senior Policy Advisor at the White House Office of Science and Technology Policy under President Trump, where he helped craft America’s AI Action Plan.
Two of the leading voices on AI policy engaged in high-quality, high-stakes debate for the benefit of the public!
This is why I got into the podcast game — because I believe debate is an essential tool for humanity to reckon with the creation of superhuman thinking machines.
Timestamps
0:00 - Episode Preview
1:41 - Introducing The Debate
3:38 - Max Tegmark’s Opening Statement
5:20 - Dean Ball’s Opening Statement
9:01 - Designing an “FDA for AI” and Safety Standards
21:10 - Liability, Tail Risk, and Biosecurity
29:11 - Incremental Regulation, Timelines, and AI Capabilities
54:01 - Max’s Nightmare Scenario
57:36 - The Risks of Recursive Self‑Improvement
1:08:24 - What’s Your P(Doom)?™
1:13:42 - National Security, China, and the AI Race
1:32:35 - Closing Statements
1:44:00 - Post‑Debate Recap and Call to Action
Show Notes
Statement on Superintelligence released by Max’s organization, the Future of Life Institute — https://superintelligence-statement.org/
Dean’s reaction to the Statement on Superintelligence — https://x.com/deanwball/status/1980975802570174831
America’s AI Action Plan — https://www.whitehouse.gov/articles/2025/07/white-house-unveils-americas-ai-action-plan/
“A Definition of AGI” by Dan Hendrycks, Max Tegmark, et. al. —https://www.agidefinition.ai/
Max Tegmark’s Twitter — https://x.com/tegmark
Dean Ball’s Twitter — https://x.com/deanwball
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