OpenAI, Amazon's Anthropic Investment, and the Roman Empire with Zvi Mowshowitz

**Nathan Labenz** (0:00)
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**Zvi Mowshowitz** (0:45)
What it's worth and what people want to pay are just going to be completely different things. Almost no one, I predict, is going to be willing to pay more or even vaguely what it is worth.
Everyone's going to be remarkably less and I would include myself in that. What is the actual marginal value per month of GBT4 over the alternatives? Probably four figures minimum. If you asked me this versus having nothing of the kind, it would be off the charts, five figures and more. Am I willing to pay those kinds of prices?
Men do not actually think about the Roman Empire that often. Instead, we think about bundling and unbundling, like real men.

**Nathan Labenz** (1:20)
Hello and welcome to The Cognitive Revolution, where we interview visionary researchers, entrepreneurs, and builders working on the frontier of artificial intelligence.
Each week, we'll explore their revolutionary ideas, and together, we'll build a picture of how AI technology will transform work, life, and society in the coming years. I'm Nathan Labenz, joined by my co-host, Erik Torenberg. Well, let's do it. Zvi Mowshowitz, welcome back to The Cognitive Revolution.

**Zvi Mowshowitz** (1:45)
Good to be back. Always fun.

**Nathan Labenz** (1:48)
The lull of the kind of somewhat quiet AI summer is definitely over.
Leaves are starting to change and products are launching in rapid succession. So naturally, I reached out to you and get an early copy of your next 50 page blog post that runs it all down in exquisite detail for everybody. Excited to talk about some of the top stories here with you as well.

**Zvi Mowshowitz** (2:13)
Yeah, it's great to bounce stuff off of people who also are thinking about these things and see how they feel as well.

**Nathan Labenz** (2:19)
We're both obsessing about it full time. So I think people have seen the headlines, you know, the big stuff that is out. I could just kind of share a little bit of my experience with some of it over the last few days.
OpenAI has certainly gone on a bit of a tear. They have put out, and I'll probably even miss something here, but just in the last like week or so, Dolly 3 is announced and starts to roll out initially to ChatGPT users, which I think is interesting.
Code interpreter, by the way, already incredible, gets also the enhancement of the image understanding. So they now bring image understanding also to ChatGPT, and code interpreter benefits from that too. So we're starting to see all these interesting demos of people being like, here's a whiteboard snapshot and I'm getting code, you know, directly from a whiteboard snapshot. Pretty amazing.
They've also got voice now enabled as kind of a first-class citizen within the ChatGPT app, and that's gradually, all this stuff is kind of gradually rolling out over a couple of weeks. So that's quite a flurry of things.
For me so far, the newest best use has been using code interpreter.
Just this last week, I had a React app that I wanted to add a feature to, and I'd literally never coded in React before. But going to code interpreter, I have the new image understanding turned on.
And I mean, it was an unbelievably awesome experience. The first question I asked was just, hey, I inherited this app. I've never coded in this framework. Can you explain it to me? So it did that. Then there were a couple of different patterns that were present in my project that weren't present in its initial explanations. I kind of said, hey, I've got this slice.js file and saga.js file in different folders. And of course, you know, it's like, oh, yeah, well, that means these libraries are enabled and that's what these things do. And this is, you know, it's kind of an extension of the core React framework. Okay, cool. So then I was like, can you help me write a command to just print out my file structure? Then I'll give that to you and you can help me navigate further. Okay, here's the command. You know, okay, here's your here's the file structure back. Okay, great. It looks like you've got all these different components and everything's, you know, probably working together. And, you know, the main file that coordinates them is this. Okay, sweet. Now I want to add a feature.