E191 - Roman Yampolskiy: The Man Who Proved We Can't Control AI (And What That Means for Humanity)
Know Thyself
André Duqum
4.8 • 658 Ratings
🗓️ 21 April 2026
⏱️ 110 minutes
🧾️ Download transcript
Summary
Dr. Roman Yampolskiy joins me to explore one of the most urgent and uncomfortable questions of our time: what happens when we create intelligence that surpasses our own? We unpack the difference between the AI tools we use today and the emergence of artificial general intelligence, and why the transition from narrow systems to self-improving intelligence may mark a point where human control is no longer possible. Roman shares why even the people building these systems do not fully understand how they work, and why that gap in understanding becomes exponentially more dangerous as capabilities increase.
In this conversation, we explore the limits of control, prediction, and safety in a world where intelligence can recursively improve itself beyond human comprehension. Roman lays out why the problem of AI alignment may be fundamentally unsolvable, what timelines experts are realistically considering, and why even a single mistake at that level could have irreversible consequences. This episode invites a deeper reflection on what we are creating, what we assume we can control, and whether humanity is prepared for the intelligence it is bringing into existence.
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00:00 Intro
01:25 What Is AGI and Why Should We Be Scared?
05:17 Roman's Journey: From Optimism to Impossibility
09:07 The High Risk, Zero Reward Equation
13:01 Why Superintelligence Is Uncontrollable, Unexplainable, and Unverifiable
18:00 How Long Do We Have? The AGI Timeline
21:24 How Superintelligence Could Actually Kill Us
23:28 Are We Living in a Simulation?
28:21 Can AI Become Conscious?
31:28 Ad: BiOptimizers
32:41 The Possible Timelines: Terminator, the Matrix, or the Zoo
42:24 I-Risk, X-Risk, and S-Risk: Three Ways It Goes Wrong
46:31 The Human Meaning Crisis: Jobs, Purpose, and What's Left
49:02 Ad: Based Bodyworks
50:20 What Empowers Us as Individuals Right Now
59:37 The Race to Doom: Who's Building It and Why They Won't Stop
1:07:41 Can AI Be Conscious — and Does It Already Have Internal Experiences?
1:12:41 Hacking the Simulation: Quantum, DMT, and Escaping the Code
1:18:30 Simulation Theory, Religion, and the Same Ancient Map
1:29:34 The Deal Roman Would Offer Altman, Dario, and Elon
1:39:44 What Is Humor? A Computer Scientist's Theory
1:43:03 What Comes After: Singularity, Death, and Knowing Thyself
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Episode Resources:
https://www.romanyampolskiy.com/
https://www.amazon.com/Unexplainable-Unpredictable-Uncontrollable-Artificial-Intelligence/dp/103257626X
https://www.instagram.com/andreduqum/
https://www.instagram.com/knowthyself/
https://www.youtube.com/@knowthyselfpodcast
https://www.knowthyselfpodcast.com
Listen to the show:
Spotify: https://spoti.fi/4bZMq9l
Apple: https://apple.co/4iATICX
Transcript
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| 0:00.0 | Once you get artificial general intelligence, you enter this recursive self-improvement cycle. |
| 0:05.1 | That's where you get superintelligence. |
| 0:06.8 | Systems smarter than all of us at everything. |
| 0:09.2 | So you before many people really coined the term AI safety. |
| 0:12.5 | Creating general superintelligence, replacing for humanity. |
| 0:16.6 | Not such a great idea. |
| 0:18.5 | I published research papers, conference papers, multiple books, and I can tell you no one, |
| 0:23.6 | including people developing those systems, understand fully how they work. The problem is impossible |
| 0:28.6 | to solve. You cannot do it. |
| 0:29.6 | So we're talking between one and four years? |
| 0:31.6 | Well, once we go beyond human capacity, we lose control quicker and quicker. You don't hate ants, but you don't care |
| 0:39.0 | enough to preserve them. We have not figured out how to make it care about us. This is the most |
| 0:43.7 | interesting time to be alive objectively. I see no reason why we can't use it to cure aging, or the other |
| 0:50.8 | diseases. For a while, it will pretend to be very helpful. It will give you that |
| 0:54.7 | utopia for as long as it wants. Statistically, you're more likely to be doing this interview |
| 0:59.3 | in a simulation, to learn. Are they dumb enough to create superintelligence to kill themselves? |
| 1:04.8 | I would love to be proven wrong. Right now, no one, no scientist, no leader of the lab |
| 1:10.2 | claims that they have this problem solved. |
| 1:12.4 | They literally saying, we'll figure it out then we get there. |
| 1:15.2 | We need to build superintelligence first. |
| 1:17.5 | So what do we need to do? |
| 1:18.8 | We need... |
... |
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