Simulation is the 'GPU of intelligence' — not a single super-intelligent CPU-like model, but many diverse, human-flawed models whose collective emergent phenomena produce the most valuable insights.
Jun Park draws an analogy: today's frontier models are like a CPU of intelligence — one very smart, rational unit. Simulation, by contrast, is the GPU of intelligence — many individually imperfect models that, when combined, produce emergent collective phenomena that can model society, policy outcomes, and complex market dynamics. ✦ AI generated
Jun Park · 20VC · 2026-08-01 · original ↗
starts at this moment · 54:02
“In 10 years time, what is the craziest thing that you can see happening?”
What I see today that's prominent in AI space is what I consider to be the CPU of intelligence unit. You have this one language model that's really large that's very smart that can do very complex reasoning tasks that's like CPU. What I see coming and what I think simulation as a field can offer is the GPU of intelligence unit. As I mentioned before, Simile does not care about creating really smart super intelligent machines. What we care about is creating models that are as smart as we — I fail at a lot of things. I want to make sure that the model that represents me fails the same way. But the beautiful part about people is individually we have so much diversity, so much different takes in our world that makes individuals so interesting. But also when they come together as a large collective, the emerging phenomena that we're able to draw out is some of the most wonderful thing that we can see in our world. Creating a society, creating an amazing process that actually allows us to make all these achievement — can we actually replicate that in simulation?
verbatim transcript · starts at 54:02
54:02actually say is I am someone who is fascinated by history of technology and analogies that we can draw from it. What I see today that's prominent in AI space is what I consider to be the CPU of intelligence unit. you have this one language model that's really large that's very smart that can do very complex reasoning tasks that's like CPU what I see coming and what I think
54:33simulation as a field can offer is the GPU of intelligence unit as I mentioned before simile does not care about creating really smart super intelligent machines what we care about is creating models that are as smart as we I I fail at a lot of things. I want to make sure that the model that represents me fails the same way. But the beautiful part about people is
55:02individually we have so much diversity, so much different takes in our world that makes individuals so interesting. But also when they come come together as a large collective the emerging phenomena that we're able to draw out is some of the most wonderful thing that we can see in our world. Creating a society creating an amazing process that actually allows us to make all these achievement. Can we actually replicate
55:28that in simulation? I think it's going to be quite inspiring. What's the crazy prediction then that every single person will have a replicable twin that acts and behaves like them in a simulated world? I think that's the vision. The vision here is again representation at scale. We as a society have found over the years many different ways to represent our members. Sometimes it's a form of government, sometimes is
55:55actually companies company. We are as a society allocating capital to make sure that they serve the society and the needs of people. But if we can actually create an artifact and that in a much more scalable and granular way represent all the individuals. What are the new kind of policies new kind of companies that can be created on the basis of it? I actually do think it's quite