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The Cognitive Revolution / episode intelligence

1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering

1 Jul 2026 24 published claims 2 attributable people
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Speakers in the public record

Thomas von TschammerNathan Labenz

Claim mix

evaluation 8belief 7observation 3commitment 2recommendation 2uncertainty 1prediction 1

Evidence policy

Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.

Claim ledger

The useful parts, with receipts.

24 published records

01 / evaluation

Now they can directly tie compute simulations that are being run to performance, right? Because if you can run more simulations, as an engineer, you can explore more designs and you can improve your CAF for them, right?

“Now they can directly tie compute simulations that are being run to performance, right? Because if you can run more simulations, as an engineer, you can explore more designs and you can improve your CAF for them, right?”
Publisher
The Cognitive Revolution

02 / evaluation

Everything those companies in the US and Europe care about is how do we get from 60 to 24 months, right? Because that's what's going to create the next competitive advantage finally.

“Everything those companies in the US and Europe care about is how do we get from 60 to 24 months, right? Because that's what's going to create the next competitive advantage finally.”
Publisher
The Cognitive Revolution

03 / evaluation

On the design side, I think the benefit that they have is that they can take more risks because, again, they don't have that legacy to work with, right?

“On the design side, I think the benefit that they have is that they can take more risks because, again, they don't have that legacy to work with, right?”
Publisher
The Cognitive Revolution

04 / evaluation

Imagine that if you change the thickness of a single component somewhere under the hood, this might impact the overall engine block, right? And you have a lot of constraints that are tied together, which means that ultimately it's not as deterministic as one might think, which is why those problems are also extremely complex to solve, right?

“Imagine that if you change the thickness of a single component somewhere under the hood, this might impact the overall engine block, right? And you have a lot of constraints that are tied together, which means that ultimately it's not as deterministic as one might think, which is why those problems are also extremely complex to solve, right?”
Publisher
The Cognitive Revolution

05 / evaluation

That you could design freely, because then you could print anything, right? But then we quickly realized that this would not work out because it's expensive, it doesn't scale in production.

“That you could design freely, because then you could print anything, right? But then we quickly realized that this would not work out because it's expensive, it doesn't scale in production.”
Publisher
The Cognitive Revolution

06 / uncertainty

Are all those different domains that you laid out now powered by a domain specialist model that has learned, for example, the intuitive physics of heat dissipation through a ventilation system? And how, if we just take that one example, if the old version was like actually having a simulation down to the level of I don't know if it was all this detailed, but going all the way down to molecules of air blowing through a space and how they bounce off of each other and what ultimately happens.

“Are all those different domains that you laid out now powered by a domain specialist model that has learned, for example, the intuitive physics of heat dissipation through a ventilation system? And how, if we just take that one example, if the old version was like actually having a simulation down to the level of I don't know if it was all this detailed, but going all the way down to molecules of air blowing through a space and how they bounce off of each other and what ultimately happens.”
Speaker
Nathan Labenz
Publisher
The Cognitive Revolution

07 / belief

One thing I learned in researching neural concept I thought was super interesting is that you guys are serving, in addition to a bunch of enterprise customers, a number of Formula One teams.

“One thing I learned in researching neural concept I thought was super interesting is that you guys are serving, in addition to a bunch of enterprise customers, a number of Formula One teams.”
Speaker
Nathan Labenz
Publisher
The Cognitive Revolution

10 / belief

I think that has felt, even though people have talked about that, imagine that for a while when they think about the self-driving car world, it has felt like that is a long way off even once the technology works because We just haven't seen much change.

“I think that has felt, even though people have talked about that, imagine that for a while when they think about the self-driving car world, it has felt like that is a long way off even once the technology works because We just haven't seen much change.”
Speaker
Nathan Labenz
Publisher
The Cognitive Revolution

12 / belief

Could you give us a little bit more intuition for like how, like just how radical these moments are? It may be a little bit hard for somebody not in the domain to really grok it, but I'd love to try, to get a little bit better sense on kind of, are they really good optimizations or are they really like stepping out and exploring different regions of the design space that people, because I think what made Move 37 qualitatively so compelling was like, no human would have made that move.

“Could you give us a little bit more intuition for like how, like just how radical these moments are? It may be a little bit hard for somebody not in the domain to really grok it, but I'd love to try, to get a little bit better sense on kind of, are they really good optimizations or are they really like stepping out and exploring different regions of the design space that people, because I think what made Move 37 qualitatively so compelling was like, no human would have made that move.”
Speaker
Nathan Labenz
Publisher
The Cognitive Revolution

14 / belief

I'm talking, that's like a 50 years ago phenomenon. They've come a long way, but they're now going to be faced, I think, with their most profound challenge ever.

“I'm talking, that's like a 50 years ago phenomenon. They've come a long way, but they're now going to be faced, I think, with their most profound challenge ever.”
Speaker
Nathan Labenz
Publisher
The Cognitive Revolution

15 / recommendation

If your part is 10% cheaper in competition because you spent three months, you could allow yourself to spend 3 months working on the manufacturing process, tune in the details, then you win this one, two, three more programs that are 10 hundreds of millions of stocks.

“If your part is 10% cheaper in competition because you spent three months, you could allow yourself to spend 3 months working on the manufacturing process, tune in the details, then you win this one, two, three more programs that are 10 hundreds of millions of stocks.”
Publisher
The Cognitive Revolution

16 / observation

Building a hand, I don't know if you've done it, but there's a lot of research in universities on how do you actually build a hand that is as agile as what we have, that is so great, that is durable.

“Building a hand, I don't know if you've done it, but there's a lot of research in universities on how do you actually build a hand that is as agile as what we have, that is so great, that is durable.”
Publisher
The Cognitive Revolution

17 / recommendation

Equipped with the right tools, I think, is the important part where these models are able, again, to interact with CAD, but with also other class of models, right?

“Equipped with the right tools, I think, is the important part where these models are able, again, to interact with CAD, but with also other class of models, right?”
Publisher
The Cognitive Revolution

18 / observation

I'm thinking for whatever reason, the ML researchers are like most keen to automate their own labor. And then we see a lot of artists are very hostile to the technology, certainly not all, but that's like a pretty common point of view, especially if it's like, I love doing this.

“I'm thinking for whatever reason, the ML researchers are like most keen to automate their own labor. And then we see a lot of artists are very hostile to the technology, certainly not all, but that's like a pretty common point of view, especially if it's like, I love doing this.”
Speaker
Nathan Labenz
Publisher
The Cognitive Revolution

19 / evaluation

No, we didn't. I think the capabilities are there. The main question for big companies to implement that is infrastructure, governance, mostly, right, and data, obviously, making the data flows and it's at the right locations.

“No, we didn't. I think the capabilities are there. The main question for big companies to implement that is infrastructure, governance, mostly, right, and data, obviously, making the data flows and it's at the right locations.”
Publisher
The Cognitive Revolution

20 / observation

I think audience is super diverse, but one common profile is the sort of AI engineer, software engineer who's now doing increasingly everything with AI, both in terms of writing the code, but also the products that they're building are increasingly AI-ified.

“I think audience is super diverse, but one common profile is the sort of AI engineer, software engineer who's now doing increasingly everything with AI, both in terms of writing the code, but also the products that they're building are increasingly AI-ified.”
Speaker
Nathan Labenz
Publisher
The Cognitive Revolution

21 / evaluation

I think the main reason for the phenomenon you're mentioning is that today most of the autonomous driving cars are cars that you could drive, but they're not made autonomous, right? And because you need to drive them, then they look like the ones we used to.

“I think the main reason for the phenomenon you're mentioning is that today most of the autonomous driving cars are cars that you could drive, but they're not made autonomous, right? And because you need to drive them, then they look like the ones we used to.”
Publisher
The Cognitive Revolution

23 / prediction

Because if it works for an F1 team, we can build it for an F1 team, we can believe that then it can work for the more traditional OEMs out there, essentially.

“Because if it works for an F1 team, we can build it for an F1 team, we can believe that then it can work for the more traditional OEMs out there, essentially.”
Publisher
The Cognitive Revolution

24 / evaluation

They go beyond their intuition, similar to what you were saying, I think. So that's why it becomes super interesting because then something really clicks with the engineers, they become very excited because they understand that they can also learn from the model.

“They go beyond their intuition, similar to what you were saying, I think. So that's why it becomes super interesting because then something really clicks with the engineers, they become very excited because they understand that they can also learn from the model.”
Publisher
The Cognitive Revolution
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