Joon Sung Park

speaker

581 appearances 1 recordings 1 series first heard Aug 2026 last heard 1 Aug

Joon Sung Park’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Aug 2026 with 1.

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch · 20VC: The Best AI Companies Have Unique Data Acquisition Strategies | Will Simile Kill Kalshi, Polymarkets and NASDAQ | How to Sign Fortune 500 Companies As Customers in Weeks with Joon Sung Park, Simile · 1 Aug 2026 podcast

And imagine now if we were to bring this to real life in a world like the one we live in, the amount of memory that we accumulate is huge.

So the problem becomes, how do you make sense of this large quantity of memory?

So imagine you went to get omelet five times in a day.

You want to make sense of that aside from, oh, I went to get omelet five times throughout the week or something like that.

So we had this concept of reflection, which basically was every certain interval, it's like a shower thought.

You ask agent explicitly to get a bunch of their memory pieces and basically make sense of them.

Why did you get omelet so often this week?

Were you busy?

Do you like omelet?

Why are you studying for this test so hard?

You are in library every single day.

Does this matter to you?

And they will actually start formulating ideas that are more higher level than what happens on the ground truth.

So gradually, they start to realize, oh, this particular research topic, I'm actually quite invested in it.

This might actually have something to do with my childhood or my fundamental memory.

This actually shapes who they are as a person.

So that ends up becoming a very useful function in creating these agents that have personality, that actually has a point of view on the world, that can actually make sense of a lot of this data.

So that's how we did it back in the day.

We are a company that is creating foundation model of human behavior that can then be used to create simulations of individuals, simulation of subpopulations, and down the line, the simulation of the entire ecosystem and even the market.

So the way we see it is if you look at large-language model companies today, fundamentally the task they have at hand is to create super rational, intelligent machines that are good at coding, that are good at natural sciences and mathematics.

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