00:34:27 · Jordi Hays, John Coogan
[00:34:27] S0: Right? [00:34:27] S1: Yeah. We should have it sitting right here. It has a full duplex architecture, which means that it can listen and speak at the same time so it can jump in appropriately. [00:34:37] S0: And it can also route, like, certain questions to smarter models Yes. To run-in the background. You can still have a conversation. [00:34:44] S1: Yes. It's [00:34:45] S0: very cool.
00:34:45 · John Coogan
[00:34:45] S1: Which is great because my default flow, like, if I'm driving, which I don't think I should be doing, but I will tap the record button, not the voice mode, and I will dictate a really long prompt. And then I will click send and then I will wait for it to cook and then I will have it read that back to me. And that's all just like a couple extra clicks, couple extra steps to get what I really want, which is a conversation. I was interested about the idea of where this goes. Like, is there is there a world where you are talking to a model and you can have sort of multiple threads of conversations going within one conversation? So you can say, hey. I need you to go and do a deep research report on, you know, IBM Watson, and it goes and cooks on that. And then while it's doing that, you're still talking to it and you're still having a conversation. But then you also might say, Well, catch me up on the latest news, and it has that at the fingertips. So, it can talk to you about the latest news and then you can go and it can say, Hey, by the way, I'm done with the report, or I'm done with the code that I wrote, but you're talking to me about other problems in your organization, other decisions, other research projects that you have and it's all done in one continuous conversation like, you know, me interacting with you. Like, you know, we might you might delegate something and then continue the conversation and then move on. Oh, I got to text this person. Okay. I'll text them. They'll do that. They'll come back to me in twenty minutes with a revision to the thing that we're working on. But in the meantime, let's talk about whatever else we got going on today. So interesting to see where this goes. In other OpenAI news, GPT 5.6 Soul, along with Terra and Luna will will launch publicly this Thursday. Preview access is expanding globally. Lots of people are having fun with this. Some people got early access. Other people were joking about clearly not getting early access but wanting early access. But a lot of people are having fun. Tyler Cowen? What
00:36:46 · Jordi Hays, John Coogan
[00:36:46] S0: did John Palmer say? [00:36:47] S1: What did he say? He's in here? [00:36:49] S0: No, he had a [00:36:51] S1: He has one. He says, It seems I'm allowed to talk about Five Six now. I wasn't one of the testers, but I heard it's really good. Again, I haven't used it yet, but this will probably be my default model from here on when I get access. It's a good one. People are having a lot of fun. Kit Langton says, I finally talk about GPT 5.6. I've been using it for many months, if not decades. And what is glaringly obvious to me now as I look back on my life is that you did not have access to it. Oh, it's very fun. People are very happy with it. Interesting. There's a there's a little bit of a fork around, like, when how the the vibe around 5.6 is different than Fable five, when how interactive it is versus, somebody said, like, Fable is, like, light speed across the galaxy and, and Soul is like a Porsche, the Nurburgring, more engaging. I don't know. It seems like we're we're entering, some some fragmentation in, like, the right tool for the job.
00:37:51 · Jordi Hays, John Coogan
[00:37:51] S0: Yeah, Ethan says my big takeaway is that both Soul, Ethan had access. So he says both Soul and Fable represent jumps over previous models and have opened a large gap with the next best AIs. People will have preferences for one or the other, but if you're doing any work where better intelligence matter, those two models are your only choices. Dean says, I think for me, the main takeaway with Soul and Fable is that I can't remember a time when the leading models were A, so decidedly ahead of everything else, and b, so distinct from one another. So Yeah. So, yeah, a lot of people are talking about how they're using the models Yeah. Together. [00:38:26] S1: It's probably a function of just tighter tighter distillation protocols, like there's less pollution. Like, also, like, not everyone's training on the exact same data anymore because it used to just be everyone just trains on the entire web corpus. And now each company has different data sets, different data brokers, different usage patterns that they can train on, and then different sort of research tastes. So go give it a
00:38:26 · John Coogan, Jordi Hays
[00:38:26] S1: It's probably a function of just tighter tighter distillation protocols, like there's less pollution. Like, also, like, not everyone's training on the exact same data anymore because it used to just be everyone just trains on the entire web corpus. And now each company has different data sets, different data brokers, different usage patterns that they can train on, and then different sort of research tastes. So go give it a [00:38:53] S0: try I on forgot to mention this. GPC 5.6 Sol's world leading in computer use. It made me use it 100x more when we lost access to 5.6. I quickly started to go insane without it. So yeah, people in the early access program obviously lost access for a couple weeks due to the DC action. But, yeah, I saw some people saying, like, what are some good uses for computer use? And it's like, anything on your computer. What do you use your computer for? They're not all gonna be great uses, but Yeah. I'm curious. I still think it's worth
00:39:26 · John Coogan
[00:39:26] S1: it's worth it's always worth, like, popularizing those, like, genuinely useful patterns. I mean, like, deep research was that in many ways, just a very like, it gave you a 20 page PDF report on the topic that you were asking for, and it did a lot of the work for you. And I still think the the come up with a good prompt idea, find the right reason to use AI is a problem for a ton of There there there are there are plenty of people that adopt the latest AI tools, immediately find what the model's good at, how to use it, how to use it profitably, effectively, not waste tokens, not waste their time. But other people need ideas. They need to know that there's a new capability. You see this with the with the chat app. You see this with the voice mode where people are like, you know, like judging a model based on hallucinations that disappeared a year ago or judging a model based on some, oh, it has a cutoff window, and that hasn't been a thing for a year, but it still burned its burned its way into, like, the memes of the online culture, and thus, people need to be updated on that. And so I'm I'm in favor of coming up with good computer use demos. The real one is just can it play Counter Strike effectively? That's the real computer use test. Can it rank me up to global elite? Can it down rank me so I can smurf a little bit? This is this is the future. This is what I want. Anyway, let me tell you about Railway. Railway is the all in one intelligent cloud provider. Use your favorite agent and to deploy web app service databases and more while Railway automatically takes care of scaling, monitoring, and security. I'm extremely excited to welcome our next guest to the show. We have Vincent Weiser from Crime Intellect. He's the cofounder and CEO, and he has some amazing news for us. Tell us what happened, then we'll dig into the news, the market, the story, the company. But first, give us the news because Jordy's already warming up over here.