The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 10 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 1 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Park: Training is required for new world physics, while prompting suffices for reactions
“My intuition behind the actual, when do you train or even post train a model versus just prompt a model is if the model has to learn the underlying physics of the world that it's operating in. So it has to learn new social physics. The places where it doesn't …”
Park: Public LLMs lack real human social physics due to web data bias
“I don't think the model has yet, at least the models that are out in the open, has yet learned the complete mapping of social physics of humanity. This actually is one of the core thesis of simile, right? And one of the core reason why that is the case is if y…”
Park: Advanced simulation discovers multi-step paths to achieve a target outcome
“So really what simulation allows you to do in its highest form is you give it not a problem or question, like what would people answer to the survey? That's not what we do. What we tell it is Here is a goal that we have. In the context of foundation, we want t…”
Park: Agent simulations are replacing traditional human panel research
“Today, a lot of the demand does come from basically, like, the places where people have historically used human panels, we can basically now replace with agents. And these synthetic populations.”
Park: Simile AI agents can autonomously navigate live website URLs
“Some of the things that our agents can also do is you can be given a domain, like a website URL and actually go use it for a while.”
Park: Simile uses life story interviews for behavioral models
“We think about data in three buckets. So one bucket is actually, we interview data, for instance. It's quite interesting. A qualitative, rich qualitative data is interesting. It's not behavioral, but we would literally ask people, hey, tell me the story of you…”
Park: Simile always trains separate population-level and individual-level models
“And this is actually what we end up doing at Simile II. We always train two distinct models. One is what we call the population level model. The other is what we call the individual level model.”
Park: Simile AI has a strategic partnership with Gallup
“We do have a strategic partnership with Gallup, and of course, Gallup is deep into policy space and so forth.”
Park: Wealthfront was an early customer testing products with Simile
“Worldfront is an interesting one because one of the things they were trying to do, they were one of the first customers that wanted to actually do product testing. That goes beyond just asking people what they think about, let's say, behavior experiments and s…”