Joon Sung Park
17 statements across 1 episodes · 9 bullish · 2 bearish · 1 people on the record · first statement Jul 31, 2026 by Joon Sung Park · across every show →
On the record as a speaker too: Joon Sung Park's record, appearances and statements → this page counts the times other people say the name.
Everything said about Joon Sung Park, oldest first
Jul 31, 2026 positive
Jul 31, 2026 positive
Jul 31, 2026
Park: Great company builders balance daily paranoia with long-term religious optimism
“Actually balancing those two at the same time is quite difficult, because if you are short-term paranoid, then you're likely going to be very pessimistic about your future. And you're, you might be amazing at shorting stocks, but not great as a company builder…”
Jul 31, 2026 negative
Jul 31, 2026 bearish
Jul 31, 2026
Park: Back Academic Founders Driven by Impact and Revenue, Not Just Problems
“The thing I actually would look for is are they married to a problem or are they married to impact? Sometimes researchers are very much focused on a problem, and something about that problem fascinates them. But oftentimes it's just not a good company, or it's…”
Jul 31, 2026 positive
Park: The most compelling hires possess two contradictory superpowers
“Any expert will usually come in with one superpower, or even sometimes multiple superpowers, but they're all correlated. You're an amazing programmer who happens to be amazing in mathematics. Very common. Where I found things to be particularly compelling is i…”
Jul 31, 2026 bullish
Simile uses enterprise research as wedge before expanding to consumers
“So enterprise market, market research right now is a wedge that we found that actually have significant budget that have immediate product market fit. But down the line, I do want this technology to be used by the rest of our society, because fundamentally wha…”
Jul 31, 2026 neutral
Park: PoC simulations are possible for anything; productionization is the real bottleneck
“I actually do think everything that we want to simulate, we can actually create the initial proof of concept. However, as we all know, one of the core challenges of AI is actually bridging the proof of concept with real value productionizable technology.”
Jul 31, 2026 positive
Park: Reflection Prompts Turn Raw Agent Memory Into Emergent Personality
“So we had this concept of reflection, which basically was every certain interval, it's like a shower thought. You have, 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? …”
Jul 31, 2026 bullish
Park: AI simulation can replace proxy representatives with direct societal modeling
“I actually don't think this is a limitation we have to suffer through in the future. I think there's a world in which we can truly create a layer that becomes a representation layer of our society and of our collective intelligence.”
Jul 31, 2026
Park: Simile raised Seed, Series A, and subsequent round within one year
“Obviously coming in, I had sort of a, you know, in my mental model, okay, well, if we raise seed now, that means we might raise our A in about a year and maybe B in the year after or something like that. All that happened within a year. We raised seed and I th…”
Jul 31, 2026 neutral
Jul 31, 2026 bullish
Park: Simile Builds Foundation Models to Simulate Whole Markets
“We are a company that is creating foundation model of human behavior that can then be used to create simulations of individuals, simulation of sub-populations, and down the line, the simulation of the entire ecosystem and even the market.”
Jul 31, 2026 bullish
Park: LLMs are the CPU of intelligence; simulation is the GPU
“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 …”
Jul 31, 2026 positive
Park: OpenAI and Anthropic Grew via Foreseeable Model Progress
“One of the most interesting thing about how OpenAI Anthropics and these companies grew was there were very strong fundamentals they could actually map out.
They could actually see, oh, the models are getting better at this rate.
Oh, and there's this kind of de…”
Jul 31, 2026
Park: Simile trains models on randomized control trials and A/B tests
“So the kind of data that we care deeply about is a lot of randomized control trials. We actually run a lot of A-B testing. We show the models. Imagine people have done this versus that. This is how their behaviors will actually change, and that becomes a core …”