The People's AI: The Decentralized AI Podcast
00:31:37 · Jeff Wilser, Bayley Wang
[00:31:37] S0: What... What's the token called? And where should listeners go to learn more if they wanna get involved with this? [00:31:42] S1: Yeah. Yeah. So, our project is called PrismaX. The token will be called p... PIX, p I x, but it's it's it's not live yet. So right now, the best way to follow us is, you can follow us on exit PrismaX AI. We also have a we also have a a sort of portal portal gateway where people can get engaged, upload some existing data, and interact with the platform. [00:32:05] S0: You've been in stealth for a while coming out of stealth. Talk about what that pivot stealth, you know, what you're launching with and then about demo day. I'm eager to hear what you guys cooked up.
00:32:05 · Jeff Wilser, Bayley Wang
[00:32:05] S0: You've been in stealth for a while coming out of stealth. Talk about what that pivot stealth, you know, what you're launching with and then about demo day. I'm eager to hear what you guys cooked up. [00:32:17] S1: Yeah. Yeah. So we've been in stealth for the past year or so, mostly working on the demand side to engage with robotics companies. We're coming out of Stealth, and we want to build out our community of people who are excited to help advance the new frontiers of AI and robotics. Right now, we came out of Stealth. We were part of the a 16 z CXX SF cohort. Close the... We recently closed the seed round and we're coming we're coming out of Stealth with just a basic a basic early portal right now to be able to let users interact with the platform. You can you can upload some of your existing data. You can go out and collect some existing data or soon you'll be able to also, reserve robots and be able to teleoperate them in order to generate new data. And that's an exciting part of the platform as well. There's a lot of data collection projects, but there's no two sided data collection projects yet where you engage with someone else's hardware, someone else's product to collect data for that product. And I think there's a new level of value here which we can really capture. [00:33:22] S0: Dude, I would, like, pay money for funsies to operate a robot remotely. [00:33:28] S1: Exactly. Exactly. Right? [00:33:29] S0: Like... No more is gonna pay me to do that.
00:33:29 · Jeff Wilser, Bayley Wang
[00:33:29] S0: Like... No more is gonna pay me to do that. [00:33:31] S1: That's pretty cool. People will go to like a theme park and like pay $15 for the special ride where they go into VR and like become the robot. And I'm telling you right now, there are people who will pay you $15 for you to operate that robot. Because right now, like, whatever, the CTO has to go operate the robot himself to collect the data, and he really should not be doing that. [00:33:53] S0: Well, so tell me a little more about about these comp... So you're saying there... This actually exists right now. There are company... There are robotics companies. You you said earlier, billion dollar robotics companies. They're like, shit. We have these robots. We need remote workers to come in with a joystick or keyboard and move this robot around the factory. That is [00:34:16] S1: currently... Exactly. Exactly. Like as like probably right now at this very moment as I... We make this podcast. Yeah. There are robots being remotely operated to collect data by companies that have raised collectively billions of dollars, but they do not know how to deal with the operator fleets. Like, it just doesn't make sense for a highly technical team of researchers to also handle what eventually needs to be thousands of data collectors. So there's like an incredible opportunity here for decentralization. Right? Like like the platform, the de facto platform for these operators who can immediately engage with an industry on something that they need like today, right now, but don't know how to do.
00:34:16 · Bayley Wang, Jeff Wilser
[00:34:16] S1: currently... Exactly. Exactly. Like as like probably right now at this very moment as I... We make this podcast. Yeah. There are robots being remotely operated to collect data by companies that have raised collectively billions of dollars, but they do not know how to deal with the operator fleets. Like, it just doesn't make sense for a highly technical team of researchers to also handle what eventually needs to be thousands of data collectors. So there's like an incredible opportunity here for decentralization. Right? Like like the platform, the de facto platform for these operators who can immediately engage with an industry on something that they need like today, right now, but don't know how to do. [00:34:55] S0: So the PrismaX platform, I get at a high level. It connects users who want to... Let's say, in this example, they want to get paid $15 an hour or whatever it is to use a keyboard and move the robot around. Again, like, very cool. Do you guys provide the actual, like, operating system, the UI to do that, or is it more giving the token in the future to user and then the robotics company is, like, has their own UI? How how does mechanics work there?
00:35:27 · Bayley Wang
[00:35:27] S1: Yeah. We we we want to provide the standardized like OS and UI and and setup so that from the operator's point of view, it's very consistent. They log in with either a browser or a VR device or even a phone and are presented with tasks that tasks that they can interact with the collect incentive. And once they log in and start operating the robot, they get a very consistent user experience so that the the, like, experience they learn operating one robot transfers to other people's platforms. Like I think that's important not just... It's very important from a UX. It's very important from an operator UX point of view because it makes things consistent. It's also very important, from the industry's point of view because it means that these like 100, 200 robotics companies don't have to each redo their tech stacks in order to do that. Right? And I think that's a really cool opportunity. By building the technology for these robotics companies that's also implicitly tied in with our protocol and our incentives, we sort of drive a lot of adoption. People will come in and, like, use the free tools we provide to build their robots in order to, like, sort of short circuit several months and several $100,000 of dev time. And then from our network's point of view, every team using that is additional additional value for the network. It's another type of robot, another potential customer that's on our network that the participants can engage with.
00:36:50 · Jeff Wilser, Bayley Wang
[00:36:50] S0: Got it. And congrats again on your recent demo day with a 16 z. Talk a bit about what you you unveiled and showcased there. [00:36:59] S1: Yeah. Yeah. The a 16 z's demo day was a pretty short like three minute presentation. But against that backdrop, we came out of Stealth on X. We unveiled the we unveiled the portal so that people can start engaging with the platform if they're excited about it. And we're, like, we're we're sort of, like, unveiling this plan for people, like, ordinary people to be able to engage with what is an emerging multibillion dollar industry. Right now, it's only a multibillion dollar industry, but it's going to be hundreds of billions of dollars down the line, right, potentially, as they say, like, replacing all of the, like, replacing all of the, like, labor in the world. Let... Let's go there now. [00:37:36] S0: Well, let's pivot to the future. What what excites you most about robotics use cases in the future?