Simile does not aim to create super-rational machines good at coding or math; it aims to model the subjective half of the human brain — people's values, preferences, taste, and the same biases and mistakes humans make.

7:18machines that are good at coding, that are good at natural sciences and mathematics. Similarly 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 way, we want to be a representation of

7:40people'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 to give us real and you know, if

8:04you look at the web data, it is fundamentally data of what people have said, not what they have done. And obviously, things models today are trained uh preliminary 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 uh customers, uh our vendors to collect some of this data.