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AI Pod by Wes Roth and Dylan Curious | Artificial Intelligence News and Interviews With Experts

AI Safety Expert: All Jobs Gone by 2027 - Dr. Roman Yampolskiy

AI Pod by Wes Roth and Dylan Curious | Artificial Intelligence News and Interviews With Experts

Wes Roth and Dylan Curious

Technology

5.02 Ratings

🗓️ 28 November 2025

⏱️ 94 minutes

🧾️ Download transcript

Summary

In this episode of Dylan and Wes Interview, we dive deep into Professor Roman’s stark warning that whoever builds AGI first still loses to the machine. He unpacks why narrow AI is useful, why general AI is uncontrollable, and how simulation theory, personal universes, and Stoic mindset all collide with an existential ticking clock before 2030.


Transcript

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0:00.0

Big amount of change is guaranteed. Things will not be the same for long.

0:05.0

It doesn't matter who builds and controlled superintelligence, everyone loses.

0:09.0

AI wins. AI could also solve the concept of dying, aging, and give you eternal life and then subject you to suffering forever.

0:17.0

Doesn't matter who builds uncontrolled superintelligence. It's uncontrolled.

0:21.3

Three years ago, one of the engineers at Google said that he thinks models are conscious.

0:26.2

Since AI is a immortal, they can wait a long time to strike against humanity.

0:31.1

Whatever you do, don't build general superintelligence.

0:36.1

My name is Professor Dr. Roman Impulski.

0:40.0

I'm a university professor doing research on AI safety.

0:43.4

I have coined the term AI safety and been doing research on it for over a decade now.

0:48.5

Thank you so much for being here.

0:50.0

It's such an honor.

0:51.6

So I guess let's start here.

0:53.4

You know, for many people, kind of the

0:55.8

Chad GPT moment when they understood that AI was just around the corner. That was just, what,

1:01.1

a few years ago. So not that long ago. You've, of course, been thinking about this, researching this

1:05.6

for decades. Has there been a particular point where you're maybe thinking shifted and you realize that this is a problem that's becoming more and more urgent?

1:14.6

Or perhaps when you realized, hey, this is a big problem, was there some specific moment or your Chad GPT moment that might have happened long before it did for most of us?

1:24.1

It was a bit gradual, but definitely realizing that I went from I read every paper in my domain

1:30.5

of AI safety to I read all the good papers, to I read all the abstracts, to I read all the

1:37.6

titles, to I don't even know what's going on, that just explosion of research. And safety is obviously a tiny subset of AI research.

1:48.0

If you look at machine learning as a discipline, I think all of us can say every day we get

...

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