This AI Grows a Brain During Training (Pathway’s AI w/ Zuzanna Stamirowska)
episodePreviously titled “Inside Pathway’s Brain-Like AI: Zuzanna Stamirowska on Continual Learning, Memory & Real-Time Reasoning” — renamed by the publisher on Aug 4, 2026
Transcript
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What is the main topic discussed in this episode?
We believe we're on a faster way to AGI. Whenever two neurons were interested by something, the connection between them becomes stronger. And this is memory. We actually saw the emergence of just this kind of brain appearing. We can actually glue two separately trained models together and they become one. I remember we all rushed into the office. Then I see the brain and was like, whoa.
Welcome, humans, to the Neuron AI Explained podcast. I'm Corey Knowles and joined, as always, by my partner in crime here, Grant Harvey. How are you, Grant?
Doing good. Doing good. Thanks for having me.
Of course. Of course. Quite the guest. You come every time. You just never stop showing up, right? I just got to do something different, you know, I'll switch it up. Well, we have an incredibly fascinating guest today that we're both really excited about. Grant, you want to tell them about her?
So we have invited Zuzana Stamorowska, CEO of Pathway, one of the boldest challengers to the reigning transformer-based AI paradigm. And today we dig into what live AI really means, why Pathway is banking on it, and whether this could be the next major architectural leap in AI.
Zuzana, welcome to The Neuron. We're so excited.
Hello. Hi, Corey. Hi, Grant. I mean, thank you so much for having me. Great to see you guys.
Well, I guess to get started, one of the first things that kind of stood out to us was how did you go from studying at a French school for politicians to complexity science and A.I. ?
So have you guys seen that movie, The Beautiful Mind? Yes, I love it. There's this scene where actually he gets a Nobel Prize and they're like, oh, those people who bring him pens, right? And I remember my dad always cried at that scene. He was like, for him, it was like the most beautiful romantic thing that, you know, it was so funny. I mean, a big guy always crying. And then, I mean, actually, when I was studying at that school for, you know, French kind of presidents or whatever, I actually went to Stockholm School of Economics and I got the chance to take a course in game theory. And I think, oh, game theory. Well, this sounds cool. You know, having seen John Nash in the movie and all of that.
How does Pathway's BDH architecture differ from traditional Transformers?
And I actually took a course in game theory. And I remember I was sitting there, coming from a very different background than the other students in a way. And I just saw all the results of the games without doing the math. And actually the guy who was teaching it was sitting on the Nobel Prize Committee. So it was just an amazing course. It was just so beautiful. I became obsessed with it. I understood that, okay, that was like, I felt like fish in the water, finally, as if somebody, you know, finally showed me the real thing I should be doing that just felt so natural. And I said, okay, this is it. I mean, there is nothing else I can or I should be doing in my life. At the same time, I was training in the kind of management consulting, because this is what folks do at Stockholm School of Economics.
I mean, I got a lot of exposure to all of this. But then I knew, okay, okay, how do I make it happen? And I guess I was like, lucky enough, you know, to actually, I have met John Nash once. So that was kind of cool.
Well, what was the context or how did that happen?
And there was a conference in Lisbon and he was actually a speaker there. Oh, wow. Yeah. And then I actually went to, I had an option actually to go to a called Polytechnique for like my master's, et cetera. And yeah, and then, so I did my master's specializing in game theory on graphs. And game theory on graphs actually very quickly evolves into complexity science. Once you do it, I mean, we have, you know, small particles, big structures. It's more interesting, more fun if the structure keeps on changing. And then you try to play a game on like an infinitely changing structure that keeps on growing. I mean, this sounds tricky. It is.
What? Like it's hard?
Yeah. But of course, for, you know, for like a pretty long time, we're trying to crack it and kind of just bring it to some more universal levels of math.
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Chapters
8 chapters
1
What is the main topic discussed in this episode?
0:00–2:11
2
How does Pathway's BDH architecture differ from traditional Transformers?
2:11–6:20
3
What is the significance of memory in AI according to Zuzanna?
6:20–10:52
4
How does BDH enable continual learning and adaptation?
10:52–14:48
5
What are the real-world applications of Pathway's technology?
14:48–18:48
6
What challenges does Pathway face in achieving AGI?
18:48–22:26
7
How does Pathway ensure safety and predictability in AI?
22:26–26:18
8
What future innovations does Zuzanna foresee with BDH?
26:18–48:45
Speakers
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