Insight
Park: Simile Optimizes for Human Biases Over Super-Rationality
“So the way we see it is if you look at large length 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. Similarly doesn't …”
Prediction Not checkable as stated
Park: AI simulation can help solve wicked problems like climate change
“Simulation I do think can also be a cure for many of what we call quote unquote wicked problems.”
Insight
Park: Simulation models learn by validating daily real-world hypotheses
“I actually think simulation has even better mechanism, which is the world is our ground truth. We live in the ground truth world. So what we can do is every single day, we can be generating tens of thousands of hypotheses. Each hypothesis is mapped onto an end…”
Assertion Supported
Park: Simile models predict human behavior with 85% accuracy
“We show that we can actually predict people's behaviors and attitudes 85% as accurately as people replicate their own.”
Prediction Open · timeframe Jul 2031
Park: Synthetic panels will become larger than the human panel market
“The way I see it, synthetic panels will be larger than our, what we know to be the current human panel market, in part because this can really raise the ceiling of the kind of questions we can answer.”
Prediction Not checkable as stated
Park: Within three years, single AI simulations will cost $20M
“I actually do think simulation can actually be the next frontier of that, where in my vision, I think there's a world in which in about two, three years, we're running a single simulation session, and that's going to take 10, twenty million dollars to run a si…”
Assertion Contradicted
Park: Stanford simulation first explicitly architected agent memory, planning, reflection
“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.”
Insight
Park: Customers do not care about prediction unless trading stocks
“No one really cares about prediction. No one really cares about what's going to happen in the future unless you're trying to predict the stock market. What people actually care about is they want to shape the future.”
Assertion Not checkable as stated
Park: Simile Replicated Multi-Month Consulting Studies in Two Minutes
“One of the ways we actually got some of our first customers was in the first call, They actually had a finding from, you know, large consulting companies, and they basically queried our system. Hey, if we were to rerun this, what would the system say? And we p…”
Insight
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.”
Prediction Not checkable as stated
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.”
Opinion
Park: AI Labs Without Clear Impact Visions Risk Failing as Companies
“I do think Neo Labs, without a clear vision for how they're going to impact the world, I do genuinely think there is some risk that they will turn out to be interesting research project, but not a viable company.”
Insight
Park: LLMs can simulate realistic human behavior across domains
“One of the early observations that we made was that these models are trained on so much of human behavior data, sentiment data that were expressed on the web. So if you poke at them sort of at the right angle, you could actually extract a lot of realistic huma…”
Insight
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? …”
Disclosure
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.”
Disclosure
Park: Simile sources data from everyday people, not elite experts
“We don't go after these expert programmers or expert scientists. We go after people like us, like everyday people living their everyday life.”
Insight
Park: Simulation extends far beyond traditional survey and interview tools
“Simulation is fundamentally about something different, which is how can you create the most generalizable model of people so that we can represent people's viewpoints at scale? And that goes beyond simply running surveys or interviews.”
Insight
Park: Simulation and AGI are the twin pillars of advanced technology
“The way I see it, simulation as a piece of technology is one of the twin pillars of technology. I'm a fan of science fiction. You read any advanced science fiction, there's always two pillars. One is some form of AGI that always shows up. The other is simulati…”
Insight
Park: Simile Models Improve by Comparing Simulation Outputs to Ground Truth
“You know, I think that certainly is the case because, right, there is the data flywheel. There is the learning that occurs as we get more and more simulated results and see what happens in the ground truth. That absolutely yes.”
Insight
Park: Coding agents improved rapidly due to clear accept/reject reward functions
“The reason why coding agents have had such massive improvement over the years was because their learning, their reward function was extremely clear. If you make a suggestion and your user says accept, fantastic. If they say reject, also very useful. You very q…”
Assertion Supported
Park: Simile co-founder Percy Liang coined the term foundation model
“Percy was the person who literally coined the term foundation model.”
Insight
Park: Simile Differentiates From Prediction Markets by Modeling Causality
“Where I see similarly come in is we are a company that is not just interested in what's going to happen, but more on how it's going to happen and why.”
Insight
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…”
Insight
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…”
