00:11:49 · Molly O'Shea, Dylan Field
[00:11:49] S0: So how did you convince all of them or their bosses that they should take the day off? [00:11:54] S1: I think if you convince them and their bosses to come, it helps. So that's more of, I think, what's happening. [00:12:01] S0: So they're all having a lot of fun. Because we're in the Pantone Lounge, I wanna ask you a very pressing question. Okay. What is your favorite color? I'm not gonna ask about ref number. Purple? [00:12:14] S1: Yeah. I'm a purple guy, but purple has a broad range. Mhmm. And so it's very hard to define exactly where in purple. I kinda like the range. You know? And sometimes it's, like, more of a reddish purple, something more bluish. But yeah, I I also think it's amazing when people are great at color theory. I am not. No. I I know enough to know that I'm not amazing at color theory, but I have the utmost respect for those that are. [00:12:42] S0: You haven't gotten your color waves checked. Do know that's a good thing too? [00:12:47] S1: Like, if I'm, what, tetrachromatic or something [00:12:49] S0: like Like, if you're like, it's a I think it's, like, a Korean thing where they, like, color theory you and, like, see what your aura is and what colors you should be wearing. [00:12:57] S1: Are yours? [00:12:58] S0: No. I don't think so. [00:13:00] S1: But no. I mean, think that, composition and color, it's, like, a real skill. And, a bunch of people really try and train for this, and some people have got it to the degree that others don't, and it's amazing when you find them.
00:13:00 · Dylan Field, Molly O'Shea
[00:13:00] S1: But no. I mean, think that, composition and color, it's, like, a real skill. And, a bunch of people really try and train for this, and some people have got it to the degree that others don't, and it's amazing when you find them. [00:13:16] S0: We're gonna take it even more serious. Okay? You were recently on Lafayette. [00:13:22] S1: Oh, yeah. [00:13:23] S0: You made it to game three. You're now the star of the show. Dylan, how does it feel to be killed on the first try? [00:13:31] S1: To be specific, so there's game one where I was killed by the Mafia the first night. Mhmm. Game two where I was the Mafia, and definitely did not play my best game. I'll be real. And then game three made a decent argument, but not my best work either and got killed by the village first night. And so, yeah, not the best showing, but it was a lot of fun. [00:13:53] S0: Mhmm. [00:13:54] S1: And I was rewatching the third episode and I think the star is actually Palmer. Yeah. Until the very end when he smirks, sorry, spoilers for your listeners, but at the very end he kind of smirks when he's like almost one. That was the first time I was going, Oh, I would have figured it out. The other two, I would have figured out because they had tells. But Palmer, there was like nothing. He was just the same energy throughout. So I was pretty wowed watching it. [00:14:22] S0: What have you learned about human psychology from that?
00:14:22 · Molly O'Shea, Dylan Field
[00:14:22] S0: What have you learned about human psychology from that? [00:14:28] S1: From Mafia? I I I think there's not much to learn about human psychology from Mafia. I played a decent amount of Mafia or Werewolf, you know, same game People have religious wars around what to call it. But, yeah, I think that, you know, probably that people's attention spans are short, that you can diverge and kinda divert conversation. At some point, I stopped playing the game actually Mhmm. Because I figured out that it was a lose lose. Either you actually do well and you've, like, lost because people afterwards oftentimes are like, how could you? I trusted you. Just like, feel terrible. Or you've, like, literally lost like I did at those games. And so I I prefer to moderate and definitely out of practice, but it's a fun one. [00:15:20] S0: It's super fun. [00:15:21] S1: And it was really cool that Solana did that. I think he's had that vision for a long time, and I just give him all the credit for, like, making it happen that way. Totally. I think more people gotta do that. They just gotta take a big risk and a big swing and just go for it.
00:15:21 · Dylan Field, Molly O'Shea
[00:15:21] S1: And it was really cool that Solana did that. I think he's had that vision for a long time, and I just give him all the credit for, like, making it happen that way. Totally. I think more people gotta do that. They just gotta take a big risk and a big swing and just go for it. [00:15:34] S0: I mean, I think that that'll be kind of, like, a through line of most of our conversation because there's so many attempts right now of building a brand the abyss of templated AI literally everywhere. And so whether it's comms, marketing, media, brand, product, we're kind of stuck in this, like, bell curve in the middle. Yes. And so how should people, especially with Figma, like, escape what I kind of call, like, the permanent underclass of zero taste?
00:16:06 · Dylan Field
[00:16:06] S1: That's a perfect, like, meme fusion there. I'll have to steal it for our marketing. I think, basically, first of all, there's a taste and there's sort of the distribution common. They're very separate. I think that first it's important to acknowledge, like if you just use an LM for everything and have it literally tell you how it wants to go build a thing, how to go design a thing, you're gonna get something that it wants to give you. And it's kind of diverged that point from whatever's in your head to however it processed it. I do think through workflows, and we have like something called Figma Weave, for example, where you can take model outputs and you can pass them through a workflow and really steer it along the way. And that can get you closer to, I think, non deterministic generative workflows that get closer to intent and are systematic. But in general, yeah, people that are just like, yeah, design me the thing, you're gonna get the average and it's not going to stand out. And in a world where there's just more than average in terms of software and media and advertising and content. I mean, you know this better than anyone. The tension economy is real. Staying out is hard. And I think that it takes not only human steering and human intent, but also it takes a point of view. And I think that is something that people fall down on all the time because it's kind of scary to have a point of view. It's like a real point of view and to be bold and to take a risk. And so I'm hopeful, and actually I think there's good early signs of this everywhere right now, that folks are already internalizing this even if they can't speak about it in the same words yet. And they're already kind of from the market teaching them, realizing they have to go take these bolder bets, bigger swings. And as they do that, I think they're going to really unlock just this explosion of creativity. And we're gonna see, you know, so many things tried that haven't been tried before. And so that's something that like I cannot wait for.
00:18:26 · S2
[00:18:26] S2: This episode is brought to you by Brex, my favorite. You become what you spend on and I refuse to spend my time on work that shouldn't exist. Expense reports, receipt chasing, and manual closes. The companies building what's next from Vercel, OpenAI, Anthropic, Granola, and Deepgram all made the same call. They all run on Brex. Brex is the intelligent finance platform that combines cards, expenses, and banking into a single stack with agentic finance built in. AI agents that handle expenses automatically, enforce policy before spend happens, and close your books in minutes. That's why Sorcery runs on Brex, so I can spend time on building and not busy work. It's time to get Brex AF. Learn more at brex.com/sorcery. That's brex.com/sourcery. Bye. Turing is training the next generation of AI with tasks that require real expertise and real world judgment. That's why companies like Nvidia, Anthropic, Salesforce and Gemini partner with Turing. Turing builds realistic reinforcement learning environments and data systems based on real operational traces, the kind of infrastructure Frontier Labs need to train superintelligence. Visit turing.com/sourcery.