Q you to start the company. Then what was maybe the initial idea, Mace? Because, you know, if you think about, if somebody told you that was the hugging face founding story, people might believe it. It's kind of like a similar ethos behind it. How did you land on the product feature today? And like, maybe what were some of the ideas that you discarded that initially you thought about?
A So the first thing we built, it was fundamentally an, an API. So nowadays people would describe it as, like, agents, right? But anyone could write a Python script, they could submit it to the CHI backend, and we would then host this code and execute it. So that's like the developer side of the platform. On their Python script, the interface was essentially text in and text out. An example would be the very first bot that I created. I think it was a, like, a Reddit news bot. And so it would first, it would pull the popular news. Then it would prompt whatever, like I just used some external API for like BERT or GPT-II or like it was a very, very small thing. And then the user could talk to it. So you could say to the bot, hi bot, what's the news today? And it would say, this is the top stories, and you could chat with it. Now, four years later, that's like perplexity or something. That's like the, Right. But back then, the models were, first of all, like, really, really dumb. You know, they had an IQ of, like, a four-year-old. And users, there, there really wasn't any demand or any PMF for interacting with the, with the news. So then I was like, okay, um, clearly no PMF for that, so let's make another one. And I made a bot which was like, you could talk to it about a recipe. So you could say, I'm making eggs. Like, I've got eggs in my fridge. What should I cook? And it'll say, yo…
AI assessment note: “So the first thing we built, it was fundamentally an, an API.”