Martin Shkreli on AI, Pharma, and What Actually Matters

The two richest guys in the world don't just drop 400,000,000 on a single deal. The biggest VCs, maybe. That's still like a lot. Yeah. So, like, how'd this guy show up with 400,000,000 to drop So there's $10,000,000,000,000 whether it include all the other hardware coming out, the rest of the ecosystem, etcetera. Maybe it's 5 to $10,000,000,000,000 market cap up for grabs, and it's not an area where there's a lot of startups, which is, like, really shocking. I don't want it to have data centers in space. I don't want to have nuclear reactors in my backyard, and I think that, you know, it'd be a lot easier if you just made a freaking better computer. No matter how big of a mistake you made, there's always redemption. It's just you have to show the vulnerability. You have to say I fucked up. Even if you don't say I fucked up, you have to show a scar or wound or bleed a little bit. What actually matters in AI right now? Better models or better businesses? A few years ago, the focus was intelligence. Who had the best system, benchmarks, and breakthroughs? Increasingly, the real question is economic. Who captures the value, how it's priced, and where the bottlenecks are? At the same time, we're hitting limits. Compute is getting more expensive, and new approaches from photonic computing to specialized hardware are becoming more necessary. That creates a tension. Software is easier to build but harder to differentiate. Meanwhile, industries like finance and biotech still require deep expertise and real world validation. In this episode, I try to understand where the real leverage is shifting across AI, hardware, and pharma. I speak with Martin Shkreli, American investor and businessman. We're talking a very exciting day. We have, OpenAI about to make an announcement. I I thought I'd start by just asking, to to for you to broadly reflect on sort of the OpenAI versantropic. What's happening here? How do you make sense of the ecosystem? Yeah. So just, you know, obviously, disclosure, you know, my my wife sat OpenAI. She's just one of the first people there, so I have a little bit of a bias. You know, I have a bias against Anthropic as well. So, yeah, I have this kinda, like, dual bias. But, basically, you're just trying to be objective. If if you monetized ChatGPT, both enterprise and consumer fully, you'd actually have, I think, quite a lot more revenue than today. So just case in point, my financial software company made about 10 licenses to Anthropic, and it's supposed to be $20 a seat, and we get a bill for a thousand dollars. And, you know, or, like, $1,500. And that's, you know, that's good, you know, five to seven x kind of what we what we asked for. And, you know, OpenAI could do that to their customers too. Their customers will pay it. They don't really care to bargain either way. …