Simile creates a foundation model of human behavior — not of rationality — that is designed to make the same mistakes and biases humans do, representing the subjective half of the brain.

6:51of subopuls and down the line the simulation of the entire ecosystem and even the market. Do you sit on top of core foundation models? How do you think about the relationship for those listening between an open AI anthropic frontier model provider and you? Yeah, so this is a great question. So the way we see it is if you look at large link model companies today, fundamentally the

7:13task they have at hand is to create super rational intelligent machines that are good at coding, that are good at natural sciences and mathematics. Simile doesn't really care about any of those. What we care about is if we have a person make a mistake in this context, we want our models to make the same kind of mistake. We want our models to be biased in the same way humans are. In a

7:37way, we want to be a representation of people's values, preferences, and taste, sort of their subjective half of their brain. That's what we care about. I love that. A lot of what people say is different to a lot of what people do. How do you think about the chasm of what people say and what people do and how that impacts your models? For sure. So say do is real and you know if you look

8:04at the web data it is fundamentally data of what people have said not what they have done and obviously large language models today are trained prelim uh preliminary um mainly on this web data. For us we actually do collect a lot of behavior data. We collect uh transaction data. We collect observational data. We also partner with our um customers uh our vendors to collect some of this