Meta expects Muse to fund free access through transactions

Transcript

Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.

1. 24:54

   And one of the things that I think is interesting is that it, I think, is just going to be able to, like, make people money and save people money. You think? Yeah. I mean, part of what's interesting here is the economic model for how we're pricing it. I mean, you can pay for a subscription if you basically kind of want to have that model. But we're also just making it so that you can get a very large amount of usage for free.

2. 25:18

   I think we're offering something, I think, to start. It's like 100 million tokens a week for free, and you get this virtual machine. So it's like a lot of kind of computer. That's a good meme. It's a lot of computer. It's a lot of computer. Yeah. But the reason for why we're doing this is we basically are confident in standing behind the fact that we think that this is going to effectively for people who are going to use it for running a small business or making money or transactions or commerce in some way, we actually just think it's going to make so much money for people that the business model over time that we expect is to effectively just take a very small cut of whatever the transaction is. Take great business, small, yeah. Yeah, and not even necessarily the person paying for it, it'll come from the businesses that they're working with. And you're

3. 26:04

   working with Stripe on payments. Yeah. But my view is like, we should be able to have a service that you make free for the vast, vast majority of people, which, again, is critical if you want to build this future for everyone where everyone has these powerful superintelligence agents. I think an important part of making something available to everyone is making it affordable. So we want to make it so that this is free.

4. 26:30

   So there's just this huge amount of usage that you get, and we're basically just standing behind that and saying, we think that this thing is actually going to make you money and save you money, and that is how it's going to pay for itself. And Meta services can connect into it, right? So you could theoretically manage your ad spend on Instagram, all that stuff. Well, you have to, you connect it. You can connect it to whatever you want.

5. 26:51

   You know, it does work with Meta services if you want. You obviously don't have to connect it if you don't want to. Sorry, if you're using it to run a business, it can basically just connect to our ad systems. I mean, you can ask it to make something for you. It can kind of help you make the product, and then it can help run the business. So all this stuff, and it could just do that in a loop. and just do it forever for, you know, 24 seven.

6. 27:13

   So, and every time we release a new model, which, you know, we've been on this cadence of shipping a meaningful update like every month, it's just gonna get smarter, right? Just get more capable and able to do more and more stuff. And something your team was telling me that I haven't heard this approach used elsewhere is this fleet concept where you're letting the fleet of Muse Agents learn together.

7. 27:34

   So that was the ideas and suggestions thing. So you open up the app. The main tab is basically your chat with your muse. There's a tab for basically ideas from the things that you've told it, how it can expand those. So that's the thing that I was saying, which is, you know, first it helped make the strategy guide for playing Civilization with my daughter, then it helped expand that into historical lessons.

8. 27:56

   That was, it came up with that idea. And then I was just like, yeah, sure, do it. And it finds all these ways to basically augment itself. I mean, the MMA coaching thing, it comes up with ideas for how to make it better. It's like, would you like me to get better at finding the right frame to send you? It's like, yeah, go do that. So, yeah, the ideas thing I think is important because then you basically, across the fleet, can find people who are interested in different things.

9. 28:23

   I guess taking a step back, one of the big issues that I think exists with AI is a lot of people don't know what to do with it. Yeah. So I think if the agent can itself help you suggest things that it can do to be helpful for you, then that solves a huge part of this problem of making it so that you can get the most out of it. When you're introducing network effect learning for agents, which no one's really done, where basically the agents are learning anonymized insights from the rest of the fleet.

10. 28:54

    And I mean, you're like the king of network effects. Like, I'm really interested in this idea, because I don't think anyone's doing this. Yeah, no, I think that right now, I think most of the industry is thinking about agents as like a single-player game, where it's like you have your agent and you use it. And there are going to be all these interesting things that basically you can do by having the agents interact with each other.

11. 29:17

    And we already have all these interesting examples internally where people have their agents interacting with each other. This isn't, for the most part, rolling out in this release, but it's going to be an important part of how I think this works over time is just, like, as more of the people who you know start using Muse, it just gets better forever. Gets better.