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 some of the surprising things you end up seeing was the simulation itself was set the day before Valentine's Day.

And you actually see these agents come together, have parties, like self-organize.

So they would actually plan parties.

They would decorate the cafe.

We thought that was really interesting.

Now, two fundamental contribution from that work.

One was it was one of the earliest example of creating agents.

So this particular set of agents were paired with back in the day, GPT-3.5, Text DaVinci.

So we didn't quite have ChatGPT back then.

And then was paired with memory planning and reflection.

Really the first times that those concepts came out to be an explicit part of the architecture in, quote unquote, agentic workflows.

The reason why we actually got that inspiration was if you had more than one agent side by side, you want them to remember each other.

Back in the day, language models didn't really have the concept of memory.

So I thought, okay, you have to give them the memory so that they don't say, hey, nice meeting you every time they meet their roommate.

So we had them have this concept of memory and planning and reflection to make sense of very long-term landscape.

So back in the day, it was actually, the initial idea was fairly simple.

that these language models are actually quite good at parsing natural language, so we'll put everything in markdown text file.

That was it.

That sort of worked.

Now, the issue there, however, is because the language models have context window, and even today, even if the context window is getting larger, the kind of experiences that these agents can have in the small game town is immense.

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