00:24:04 路 John Coogan
[00:24:04] S1: And just to level set on Deembal, he wrote the AI action plan, but then also came out very publicly in support of Anthropic during the conflict with the Department of War, saying that the Department of War is completely overstepping by pushing towards supply chain risk designation, putting pressure on Anthropic for not wanting to work with the government in that particular way. Obviously there's a whole bunch of new data that's been released and stuff and that conversation has evolved. But he's not is he I he doesn't strike me as some like crazy hater. Anyway, let me tell you about Railway. Railway is the all in one intelligent cloud provider, user favorite agent to deploy web app servers databases and more while Railway automatically takes care of scaling monitoring and security. Doug O'Laughlin was also sort of mixed results on Fable. He says, when it works, it's brilliant, but the unilateral guardrails make me frustrated beyond all belief. He has a folder of health information with like a hundred days of Aura Health data. This is a very logical thing that people would do with Codex or Cloud Code, gather up all your health data. I actually talked to a very, very prominent person in tech about how they got into vibe coding and CLIs. And one of the first things they did was reanalyze some WHOOP data, reanalyze some health data and he correctly detected sleep apnea and went and got it treated. Like that is it's not the cure for cancer but that's like incredibly awesome and like very, very good and exactly what you want to see. And who knows, maybe the thing that you detect early could lead to an increased risk of cancer in the future. And that would be a really, really big win for our society. And so a little bit tricky there. He says there's a private investment in the life sciences tool space. Guess what? It's not safe. Doing some code scanning for vulnerabilities, not safe. I get the safety but it feels incredibly out of touch for a group of a few 100 a few thousand people making all making total comp in the millions, telling me what is and isn't safe. Dario worried about inequality, I think he has to realize that he is the inequality and the unilateral gatekeeping feels whack as hell. I don't like it. Yeah.
00:26:16 路 Jordi Hays, John Coogan
[00:26:16] S0: People are people are very [00:26:18] S1: And like Doug O'Laughlin is extremely optimistic about Anthropic. Like he he he recognizes the power of the models in the business and has been a very very strong supporter. I I feel like a strong user. He was one of the first people to admit to Claude code psychosis and he's unhappy with the current situation. But these things are very tunable. I'm optimistic with more disclosures and more fine tuning and and a and a smoother smoother path. I think we can get to the good outcome here. Cremieux. Last one, [00:26:51] S0: Cremieux says, tell me about It's the powerhouse of the cell. Right? It's chat The [00:26:58] S1: chat pause is rough. Yeah. It's a it's a screenshot. [00:27:02] S0: But maybe maybe the harness is just saying like, sorry, if you don't know that the mitochondria is a powerhouse of the cell like [00:27:10] S1: It's not worth my time. I don't even want your I mean, that's the thing with like the good [00:27:14] S0: You know, there are dumb questions.
00:27:14 路 Jordi Hays, John Coogan
[00:27:14] S0: You know, there are dumb questions. [00:27:17] S1: Yeah. I mean, are expensive questions and all of these screenshots are clearly from like $100, $200 a month plans. And I'm sure the GPUs are on fire as they always are with any new model launch from a frontier company. And it can make rational business sense. And so when everything aligns, when you're like, yeah, we're maybe being a little bit too safe, but it's actually good for our business, it's very easy to say yes to that stuff. The big question is like, where do you get tested where something there's a hard decision and it doesn't align with your business interest. That's always tough. Right? [00:27:49] S0: What what's going on? Was there the the new data retention policies as well that also has to do with, like, does it trying to [00:27:58] S1: This one was funny because I assume that every tech company stores everything forever, basically. I didn't realize that they [00:28:06] S0: not for these like enterprise use cases.
00:28:06 路 Jordi Hays, John Coogan
[00:28:06] S0: not for these like enterprise use cases. [00:28:10] S1: I know that the enterprises said that they wouldn't train on your data. But like when I go into any chat app, I expect to have my data from a year ago still there. Like I want in fact, one of my main critiques and frustrations with these apps is that when I go to them, want to be able to instead of hitting the search bar, just go into the chat box and say, hey, remember a couple months ago we were talking about CrowdStrike and I had you pull up some data? Can you just go refresh that, get the original thing? And a lot of times these apps are like, oh, like I don't really have access to all your chats, but like the chats are clearly saved. But so I I I understand people were upset about this, but it didn't fully clock for me. Why? I I understand the training thing like the but [00:28:57] S0: Yeah. And they're very they're very explicit they're not using the data to train.
00:28:57 路 Jordi Hays, John Coogan, Jeremy Strong, Farza Majeed
[00:28:57] S0: Yeah. And they're very they're very explicit they're not using the data to train. [00:29:00] S1: They're not. Okay. Oh, well then that's good. So the the steel man I believe was that you need to hold it for thirty days because companies, probably international companies, competitors will set up a ton of shell corporations and send out, like, pseudo random queries over random times, over random accounts, through VPNs and they will triangulate something that is useful to distill or learn from the model. And so by keeping it all, you can now run analyses and look at, wait, is there a pattern where 25 different accounts that seem completely unrelated all seem to be triangulating the same question? That seems reasonable to me. But stay out of my data. I'm built different. I'm not distilling anything. I don't know. Anyway. [00:29:51] S0: I think it's time. [00:29:51] S1: Let me tell you about Shopify. Shopify is the commerce platform that lets you grow with your business. It grows with your business and lets you sell in seconds online, in store, on mobile, social, on marketplaces, and now with AI agents. And speaking of AI agents, we have a founder [00:30:05] S4: of the company. I don't know if we should call it [00:30:06] S1: an AI agent. What are we calling it, Farza? Is this are you creating a new category? Introduce yourself. Tell us what you're building. [00:30:13] S6: What's going on, guys? Farza here. What's happening on? No. Of course. Farza here working on Hey Clicky. Yeah. Man, what is it? It started as an AI teacher [00:30:23] S1: Yeah.
00:30:23 路 John Coogan, Farza Majeed
[00:30:23] S1: Yeah. [00:30:23] S6: And I guess now it's an AI that where you can essentially talk to your computer and it does whatever you wanted to do from like [00:30:29] S1: It's personal super intelligence and you got there before the big man. I love it. [00:30:33] S6: Somehow. I feel like the big man doesn't even know what they got sometimes, you know? It takes the little guy to figure it out. [00:30:39] S1: I love it. I love it. I'm always rooting for the little So, like like reintroduce the product because you went viral last week but it feels like you've been working on this for a while. What's the nature of the team, the structure, the funding? Like what's actually building this? What's adoption been like? Like where is the product today? [00:30:55] S6: Yeah. I started eight weeks ago. I just wanted to build a an AI that could Yeah. Teach could teach me DaVinci basically while I'm like actually using DaVinci. And I thought it was [00:31:05] S1: And this is DaVinci Resolve, the color and video editing suite that's free from Yes. Blackmagic Design? Got it. [00:31:11] S6: Exactly. Yes. So like I DaVinci Resolve complicated program [00:31:15] S1: Yep.