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The REVEL Podcast dives into startups, robotics, and venture capital through the lens of building our own company from the ground up. Each episode blends unfiltered conversations, lessons from our journey, and insights from guests who are shaping the future of tech. Expect raw stories, sharp takeaways, and a front row seat to making the real world robot ready.
Kamil Dusejovsky (00:00.51)
No video in the house, okay. Okay, I'm not changing anything anymore. It's good? Sound is good? Okay. That's all you need at the end of the day. Your phone and your headphones.
Brian Walker (00:06.606)
Yes, Yep, yeah, that's good.
Brian Walker (00:19.084)
It's kind of true. You can do a podcast pretty much from anywhere around the world like that, you know.
Kamil Dusejovsky (00:19.104)
Alright, alright.
Kamil Dusejovsky (00:23.712)
Yes, especially with this platform, you can really just log in with your phone, which is amazing because the guests can be from anywhere, right? They can just landed at the airport, join the podcast, just sitting in my car, waiting for my coffee, join the podcast.
Brian Walker (00:41.376)
Are you ready?
Kamil Dusejovsky (00:42.868)
Yes, I'm ready.
Brian Walker (00:46.508)
All right, so welcome everybody to the Revel podcast. We're calling it Stupid Simple. I'm Brian, your host with Camille here, my co-host. We are also founders, co-founders Revel.
Where do we take it from here? This is our intro episode with Kamil. We wanted to kind of set the tone for what we envisioned for the show. Where we'd like it to go, where we'd like it to take, why we're doing it. What the listeners and people that are to be tuning in can expect from the show. And we decided to do like a little intro episode. Just me and Kamil talking about Revel, us and the show and where we're and some of the...
things that we've done in the last couple of weeks with Revel and yeah, give everyone kind of an overview, high level overview of what we hoping that the show could do for us and for the listeners and for the robotics AI space. So why are we doing this, Kamil?
Kamil Dusejovsky (01:52.404)
Why are we doing this? Us, we've been observing the robotic revolution, I'll call it, from the first row. And I think it'll be great if we can share, not only share, but also learn through this podcast, the newest tech, newest...
Hardware, software, the... I don't know, dude. It's been tough for me to... Experts... No.
Brian Walker (02:27.168)
Experts. Experts. I'm pretty excited for the guests. I'm pretty excited for the follow-up episodes and talking to, like when we get on a call now with other investors or, you know, engineers, researchers, people in the field, I always learn something new, which I think is fantastic. And I think like, you one of my big reasons was, hey, like, I'm sure that there's a lot we could share with the community.
What do you vote about the title? Stupid Simple. Do you want to tell why we're calling it Stupid Simple? Revel Stupid Simple podcast with Brian and Kamil.
Kamil Dusejovsky (03:05.054)
Yes.
Kamil Dusejovsky (03:09.214)
Why is it stupid simple? Because our mission is to make robotics stupid simple. Same way as AI made multiple industries stupid simple. Now you can go open up a website, you can open up a chat bot, you can tell your chat bot, build me an app that does this and this, and you can just watch that happen in front of your eyes.
Our mission is to make robotics and training robots stupid, simple.
It's a great title.
Brian Walker (03:48.76)
So yeah, I like it too. And it really, really resonates with the mission and the core belief that I have for where the space is headed. And I think it also kind of speaks to the problem that we've been seeing. The recurring talk is the complexity of training robots. And obviously, the number one, the elephant in the room is the data.
That's been a big issue or big talk, solving the data or their lack of data for robotics is definitely one part of the core of Revo's mission is to solve that and then obviously make training stupid simple. So yeah, I think the title is pretty fitting to what we're working on. Why did you want to do the podcast? I remember like texting you about it and you were like, yeah,
Totally think we should do it.
Kamil Dusejovsky (04:47.656)
Yes. Yeah. There's a few different reasons. I think one of the big ones for me was just us two getting together and talking about either what happened in the past week, what we've been working on or thinking about and just kind of forcing ourselves to sit down and talk. That was one of the reasons. And another reason was for us to learn from our guests and then apply it into our own company.
which I think will be a great benefit. And the third reason is to share. I've done this before where I made content and shared it on the internet and there's just nothing better than seeing that people get some value out of your content and enjoy it.
Brian Walker (05:36.992)
Yeah, you definitely have the most experience of the two of us of making content, putting content out there.
I was thinking when I was looking at some of the short list of people that I wanted to have on the podcast early on, I came across this video talk, was Harris Stabins, he's the founder of 20VC. And he's got a podcast, right? So he's a VC and he's in media, he has the podcast. And I saw a post that kind of resonated with me because, you know,
I'm a big believer of building in public. Like that's what we're doing with Revel. That's why we started the Hecaton. We put out our assets out there. We put our library out there. We put ourselves out there. We're pretty open and out there about the execution and you know, like I'm all, I understand some companies and startups choose to build in stealth, but I just, I don't, I don't know. I just rather,
You never know, you you put something out there and you might get somebody to say, hey, that's pretty cool and wants to join the company or hey, that's, you know, I've been working on something like this for a while and here's the problems that I ran into and I can help you guys out with this or that. But one thing that he was talking about this post about the media doing the VC and the media at the same time was like, you know, it's sort of the best way to create a warm network of people that can help you grow.
the business and yourself personally because when you ask someone to come on your podcast you are giving them platform to share their expertise and reach new audiences and new people right you're not really asking them it's much easier to get somebody to come on to your podcast and and share their expertise and some knowledge and and now you know for you the host or the show for us now you we have that connection now you have that warm connection
Brian Walker (07:41.826)
And if you think about it, if you do that for the entire year, at the end of the year, have 52, if we do just one episode a week, right? You have 52 warm connections of people that you've had on your show or that you've spent an hour digging into some complex problem that they're working on in this space. it's entrepreneurship, raising funds, robotics, AI, deep tech, which by the way, I guess we should mention, right? Like the show we wanted to kind of revolve around
what Revel is working on, which again, making robots stupid, simple. That's all AI, robotics or embodied AI data, entrepreneurship, founders, how to structure a team, how to find a team, how to build a team, how to start a company, how to raise money for the company, how to validate your idea and so on. So I kind of want to dig into all of that on the podcast eventually.
that go through different guests. That's why I think when we were talking about like, what kind of subjects we want to talk about, deep tech and AI and all these things that we're just mentioning are relevant to what we're working on. And also I think some of the most incredible people that are doing some crazy things in the world right now are other founders or researchers or VCs or founders.
So I'm really excited about that. So yeah, in terms of the show and what people can expect, guess deep tech, I hear that trend. That's kind of one of those hypey words, deep tech. But I guess that kind of encompasses the AI, robotics, research. What's your take on that?
Kamil Dusejovsky (09:25.278)
Yeah, you know, the word doesn't become just trendy, just because I think that word, I think when you say it, it makes you think, you know, about what's coming in technology and it resonates with people. that's why I think deep tech became a trend. Yeah. I mean, we're here to,
Brian Walker (09:41.08)
Mm-hmm.
Kamil Dusejovsky (09:52.331)
share with people, you know, what Revolve is doing, just as a side note, maybe I'm jumping ahead, but I was watching some of the hackathon submissions and it was amazing seeing our assets, you know, inside of the submission videos and just watching other people do some creative, useful tasks. It was incredible.
Brian Walker (10:15.074)
I was surprised, pleasantly, how many people were grateful that we organized the event. How many of the submissions had sort of a message of gratitude to Revel and Momir from Lychee AI and Nvidia that this happened and that we've put this, you know, we really kind of bootstrapped this hackathon. And I'm getting a few requests a week already acquiring about, hey, I I missed this one, but when is the next one?
Are you guys gonna do next one? When? How much? How much time? Or you know, what it's gonna be like? But hey, so for the first viewers and audience, this is our first episode of Revel's Stupid Simple with Brian and Camille. So cut us a little bit of slack. We're gonna figure out how this whole thing works and what to...
to get into the flow of it. You I actually did a podcast. I've done, I've done and you've done the content and I've done like 60 episodes of podcasts about the film industry. And I would record, sometimes I would record like four guests in a day just on the weekend, just to get as many episodes for your recording. So one thing I'm gonna tell you Camille is that this is gonna come out after the...
after the announcement of the winners. So me and you, I saw in your Google spreadsheet, saw your kind of favorite number one, two, three, four, five, six, know. I saw where your minds at and I didn't look at it until I put mine in and our top four or three were identical.
Kamil Dusejovsky (11:45.076)
Mm-hmm.
Kamil Dusejovsky (12:06.292)
That's good.
Kamil Dusejovsky (12:11.712)
There were some incredible submissions and I guess you guys have seen them by now. There was a humanoid.
Brian Walker (12:12.886)
And I was like, wow, yeah, submissions.
Yeah, and we announced the winner. I, yep. I, uh.
Kamil Dusejovsky (12:24.734)
humanoids, drones. That's what I was most surprised by is the variety of picking places. We had humanoids, had drones, we had arms.
Brian Walker (12:36.236)
Manipulators, yeah, manipulators, know, it's... So where I was going with the, you know, the explainer of that we're gonna keep this show a little bit loose, but we did write a little bit of a structure here. So I'm gonna try to follow it throughout the recording of this. So we try to make some sense out of things. So I guess we did the, yeah, we did kind of, we did a sample opener from...
Kamil Dusejovsky (12:57.226)
So where are we at now?
Brian Walker (13:03.128)
ChedGPT and we did a little bit of a cold open. And then host interest, who are you? yeah, why don't like, should I introduce you or should, well, just kind of, yeah, do that.
Kamil Dusejovsky (13:18.986)
Let me introduce myself.
Kamil Dusejovsky (13:23.624)
I'm Kamel Dushyovsky. I've been content creator in the past, but as I lived to my 30s, I moved over to the tech industry and I work as a software engineer. started a previous startup where I was a technical co-founder and now I'm moving over to Revel where I'm acting as a
CTO and a technical co-founder.
Brian Walker (13:58.604)
Okay, hey, you went back to school pretty late in like, like you were pretty like, you know, not later in life, you went back to school and went complete like full degree and everything. Do you have any regrets about the school and like the education or education costs or university or the time you spent there versus like just getting on building a company or getting
Kamil Dusejovsky (14:26.163)
Mm-hmm.
Brian Walker (14:26.478)
Or do you think you actually needed the entire university or maybe you've gone for one of the Google programming courses or something? How do you feel about that?
Kamil Dusejovsky (14:37.566)
Yeah, that's a good question because, you know, going to school in your late twenties was kind of a big decision because you're like, do I want to spend four years of time right now, you know, dedicating to this? And for me personally, it was amazing decision because it got me here. Right. I built software every day. I got this knowledge now. Now did I need to be in school to gain that knowledge? No.
Brian Walker (14:58.808)
Mm-hmm.
Kamil Dusejovsky (15:07.614)
But did that school help me get to the place where I am now? Yes, absolutely it did. And I think from when I was little, the computers and technology were inside of me. I've took a little bit, you know, sidetracks, side quests, like being a content creator on the way there, but it was meant to be. And I'm really happy I went to the school. It paid off as far as the return on investment. paid back really quickly. So.
I think it was a great decision for me. If I didn't go to school and I, you know, I just learned, started a company, I'd probably be at a different place, maybe better, maybe a little worse, but...
That school gave me a direction which worked out for me. I think it was a good decision.
Brian Walker (15:59.434)
Do you feel like the school serves more as an accountability measure, kind of like personal trainer in the gym? Because I feel like the subjects and the things that you learn, if you really wanted to, which you wanted to, you could have picked up a ABCD course and probably be done with all the actual learning of coding, what you're applying from university within, let's say a year instead of four years.
and then just get a job somewhere, start building and learn. I'm a big believer that you learn the most on a job. So I introduced myself, Brian Walker, CEO of Revel and kind of the visionary brain. then Kamal tries to basically convert my crazy ideas into a tech stack that actually ships, that works.
I left when I spent five minutes talking about something to come up and at the end of it he just says, I have no freaking idea, but sounds great, like we should try to do that. I try to lead from common sense. I think that's my biggest thing. It's like, this should be possible and if it's not, let's work on making it possible and if there is some kind of a breakthrough in tech or some.
a stack or software that needs to happen along the way to make that happen. I'm like, well, then that's we got to make that happen. I'm a huge proponent of like, stupid simple. Like this should not be this complicated. And as I'm looking at the structure here, you know, one of the things before I completely sidetracked though, the school thing, you know, I'm a big believer in in learning on the job and my background film industry. You I didn't go to film school.
And then everyone who I met on some of these huge productions that I worked on was like, did you go to film school? I'm like, no, didn't. But I feel like after my first movie, I've learned basically everything that you learn in film school, if not more. And then by a second, third movie, you're kind of seasoned into the environment. And so I guess...
Brian Walker (18:23.586)
Do you agree with that? you think the college is sort of an accountability to prove that you can do your chores, throw up somewhere on time when you have to be somewhere kind of thing?
Kamil Dusejovsky (18:33.351)
Yes, and you know when you're older and you're basically bettering yourself, you you pay for the school and it doesn't see doesn't mean that's the only thing you do, right? You still have extra time that you can spend building something, you can work on something else and the experience of you and few others that are learning similar tech or
Brian Walker (18:48.27)
That's
Kamil Dusejovsky (18:58.048)
material working together to build something like you do in school. It's kind of a luxury. School is really a luxury and I'm really happy I got to experience it. know, coming out of Czech Republic, it was a dream of mine to be in a school in the US and I got to fulfill that dream.
Brian Walker (19:16.544)
You got the US university experience. You get to become a college student, a university student. I guess.
Kamil Dusejovsky (19:22.516)
Yeah.
Kamil Dusejovsky (19:27.144)
But you're absolutely right about the, you know, learning while actually working, you learn much more. Now it's important that you end up at a work which teaches you the things that you want to learn, you know, so it's the same thing as school where in school, sometimes you have to do courses you don't want to, but when you find work, you don't necessarily always find a perfect job. So you might be learning a lot of things you don't want to learn or don't want to do.
Brian Walker (19:46.83)
Mm-hmm.
Kamil Dusejovsky (19:55.71)
but it's important that you find the time to learn the things you want to learn.
Brian Walker (20:04.097)
Yeah, and I think there is, I think you just kind of hit the nail on the head with that because what I've been doing, you know, post school, first things, first things first, I think we should also mention that we were both born in Czech Republic, both left super early. think I left, I was turning, I was 19 turning 20 and you left, how old were you when you left?
Kamil Dusejovsky (20:31.36)
21. Just enough to bio be here.
Brian Walker (20:33.166)
21, okay, so I beat you. So I beat you by a few years. And then I have lived in America for 18 years and never came back to Czech Republic. You have been now in the Czech Republic for how, in US for how long?
Kamil Dusejovsky (20:50.944)
11 years.
Brian Walker (20:53.038)
11 years, but you did travel kind of, you stayed for a while and then you finally went back to Trap Republic, But I haven't been back in 17 years and what I wanted to mention to the listeners is that you're in Las Vegas now, you're in America and I'm in Europe with my family for a little bit, so after 17 years, back to Europe temporarily just to kind of explore Europe and see what Europe has to offer and...
Kamil Dusejovsky (20:54.144)
secret.
Brian Walker (21:19.352)
We found some incredible talent and opportunities here. So that's been really great. Even though Revel, we founded Revel in US, it's Delaware C Corp, but you know, the classic tech startup structure. But yeah, we were both from Czech Republic, left early and went on to all kinds of crazy paths. And then somehow we found each other as friends, started to hang out.
Even though we lived in different states like us is big so like you meet someone and then like to stay in touch It's it's an like it's an effort if you really want to foster a friendship with someone at like our age You kind of have to go forward a little bit and be like Okay, like hey you want to go skiing in Colorado and you kind of like? Yes, okay. I have to I might have to drive for 12 hours and and you're to spend few days with Brian and the family to like
go skiing, but we've done that over the last, how long have known each other now?
Kamil Dusejovsky (22:24.554)
say about eight years, seven, eight. Yeah, I do remember the first time we met and I was skiing again. Now you mentioned skiing. I was going skiing to Big Bear and...
Brian Walker (22:25.43)
one? Eight years or so? Yeah.
Kamil Dusejovsky (22:36.512)
you know, I think we were following each other, you were following me on Instagram, and were like, oh, I'm going too, let's go together. And we met up, you know, for like, just this stranger guy, let's go skiing. Because I think you were the same as me, where you would by yourself be like, I'll just go skiing, you know, I don't need anyone else. And I was the same way. So it worked out.
Brian Walker (22:47.405)
Yeah.
Brian Walker (22:54.83)
Yeah, yeah, I converted a van for transit to like a ski van and I do you remember the do you remember the one winter where we took it across like bunch of resorts and like I Would drive through the night and you try to sleep in the back and then you would drive and I try to sleep in the It but it's so funny because like I remember this and it felt like you're flying You know like but then I would sit up and you'd be like driving totally normal But when you're laying down in the back of the van and just anyways, those are
Kamil Dusejovsky (23:01.728)
Mm.
Kamil Dusejovsky (23:07.972)
yeah.
Kamil Dusejovsky (23:22.664)
Mm-hmm.
Brian Walker (23:24.566)
just what kind of, you know, kind of core memories would brought us together. when I first hit you up with Revel, actually like the very couple early ideas of what I thought that we could do was like a year back. And then we're like, okay, let's look into it. Then I was working on a few other things along the side. We were moving to Europe and then when we settled in here,
And I got to meet some really cool people through like one of our judges on this hackathon, Kitty, Project Europe.
Brian Walker (24:01.588)
I went to Stockholm to check out the startup scene there. A lot of the unicorns out of Europe are out of Sweden actually. Didn't know so many. It's actually like I think majority of unicorns out of Europe are from Sweden. Incredible place, really loved it. Even with my wife. I had to sell her and the idea that we're going to change her birthday plans and go to a hackathon in Stockholm on her birthday instead of like a romantic getaway in Prague.
But now we're here and I'm super, super excited about it. And then I kind of approached you and I was like, Hey, I really think that there's a big problem that needs to be solved in robotics and embodied AI. And then when I saw, you know, which goes along here with the structure that I wrote down here, the next thing was the why this show, like why now and the problem we see every day. So
Couple of the things that I see that I noted here was the wave of humanoids. I I watched the first Optimus or the Boston Dynamics robots were amazing, but there was like the first humanoid that came out of Tesla was pretty incredible. And then the Gentoo and so on. And then when like Elon said, hey, this is going to be the biggest product that we've.
DESSLOF ever made. And then you have Nvidia partnering with Foxconn on, you know, they kind of enter the race of building robots. Yeah, you know, I kind of have a feeling that we did the right thing and at Revu we're kind of betting on the big wave of humanoids, you know, taking over many, many industries in the next couple of years.
And there's a lot of problems and challenges that need to be solved in order to make that happen successfully. And I think we both agreed that, hey, let's be part of it. So here in Mojits are coming the world models, the world's models for generative simulation and training, mutation training. And then we saw the big bottleneck. We immediately identify the bottleneck, which was the data and the workflow complexity.
Brian Walker (26:18.57)
which is something that we actually kind of saw even in the hackathon, right? From the submissions and from people talking about what they were working on. Okay, the promise of the show I have here is honest conversation with builders, researchers, OEMs and VCs. Practical, no fluff. Yeah, I think you agree with that. We want to have people have just kind of open conversations about the current issues and problems in robotics and how we...
solving that or how they are solving it or how they could help us solving it and so on. And then I guess at this time of the recording we are also... Did we cover this a little bit? Yeah, the problem we see every day. the training, we've talked about it a little bit, like the training still feels like a heavy engineering and SIMPS are powerful but painful. And also...
We don't see lot of robots training on real world assets, which makes the SIM to real transfer pretty complicated and cumbersome. So that is something that we are focusing internally at Revel quite heavily. And that is that the data and assets that we want to simplify the training for robots with is data that actually, you know,
is used in the world like in manufacturing, warehousing, construction and so on. think that's a pretty important, pretty important part. What else we got here? what did the hackathon, I'm gonna ask you this question. What do you think the hackathon version one, the first one we did, which by the way, we've said, hey, let's do Revel.
You were like, okay, I pitched you what I wanted to do. You were like, okay, I'm going to join. Let's do it. Then I said, let me fly to Stockholm, talk to a few people, validate a couple of things. I did, came back. said, I think we should do it. We incorporated the company and within a week we launched this hackathon. We get some incredible judges on board. We reached out to Nvidia and says, we're going to do this, this SIM in your software suite on the software stack, Isaac SIM.
Brian Walker (28:37.666)
We partnered with Muamir, Lychee AI who brought in the robotics community that he's been fostering on his YouTube channel. Shout out to Muamir and Lychee AI, great guy. He's joining Revel. So we're excited about that. But yeah, the question is here or this kind of a note and you can talk about that for a second. What did we validate one or two lesson plus maybe some stats from the hackathon? What do you see as the biggest takeaway for us from the hackathon from the first one that we just did?
Kamil Dusejovsky (29:04.798)
Mm-hmm. So as I listened to feedback from more than 120 teams, first of all, we didn't expect that many teams signing up, which was amazing to see. were really happy about that. And I got to, you know, be in contact with more than 120 excited people about robotics, which was awesome.
Brian Walker (29:32.462)
And that's teams, right? That's teams. had what, 125 teams and then total participant,
Kamil Dusejovsky (29:34.9)
That's teams, yeah.
Kamil Dusejovsky (29:40.672)
was more than 300. Yeah. And this means, you know, I talked to 120 team leaders, I would say, and then we had, you know, more than 300 people working on this, maybe more than 400. Now what we saw or what I saw, you know, talking to people is getting into getting from, I want to build this policy or,
Brian Walker (29:43.47)
Wow, that's crazy. Okay, cool.
Kamil Dusejovsky (30:08.148)
you know, make my robot, my manipulator do this to the actual training part and, you know, documenting the results. It, the setup is quite difficult and it takes a lot of time and effort. It takes a lot of troubleshooting. It, it requires a lot of extra overhead, which
I find unnecessary and as you guys see this title, this will come into play in a bit because we want to avoid this. want people actually putting the work into the policy or the goal that they want to accomplish rather than troubleshooting. Why is this software not working or why is this version of Python or not?
agreeing with this software, why is this GPU driver not working with this tech? We want to avoid that and we want to figure out a way that will put people actually working on the problems that they want to solve rather than on the extra overhead and extra troubleshooting that they have to do now. And as we observed, you know, from feedback, because I made sure to collect feedback of
Okay, what did you struggle with throughout the hackathon? What exactly was the biggest obstacle in your project? What did you succeed with? What did you do to succeed? And the biggest obstacles we noticed was getting the software ready, getting the software working so they can actually do the work, do the training and build the policy.
Brian Walker (31:59.488)
And then I think you shared with me also that when you build a project, you kind of come up with the training, what you like to do. And then a of these guys don't have the compute locally and they don't have the powerful enough hardware to do the training. So they kind of have to ship the product, essentially the build, right? And they have to ship it to cloud.
And I feel like the integration there is also pretty cumbersome. it's not quite, there's a lot of different solutions for that, like NVIDIA BRAV or AWS Azure, Microsoft Azure, there's a lot of cloud solutions, But that is like engineering challenge on its own, right? To then shipping your product to basically get the training done on a cloud.
Kamil Dusejovsky (32:57.3)
Yes, and it's costly doing it on the cloud. know, it's so for the heckle town, we've had, had a team that ran out of thousand dollars of cloud credits. And, I was like, wow, you guys, you guys put in a lot of money into, into this, which is amazing. And we had a, you know, big, big, prize pool. So I understand. but it, we want to make.
Brian Walker (33:21.998)
I think they said they ran out of a thousand and they needed what, another four thousand or five thousand in order to make it work.
Kamil Dusejovsky (33:27.285)
Go ahead.
Kamil Dusejovsky (33:31.87)
No, no, no, they're ready for the next hackathon we're posting. They're waiting patiently and ready for it. And we love to see that. We've had some amazing results out of this. So I'm looking forward to what they're going to build.
Brian Walker (33:36.358)
okay, okay.
Brian Walker (33:47.724)
Okay, so we learned that it takes a lot of engineering power, resources in terms of money and time to set up the new training policies to teach even as a simple pick and place task, which this is what the hackathon was, right? It was a simple challenge. We wanted to do MSA simple, right? It could be quite challenging actually, pick and place, like especially when you're programming like a drone. It's like, know, because drone can do a pick and place.
So that was really interesting when you mentioned like, we actually had a drone, humanoid, manipulators and cool bots and whatnot. I do have a favorite in terms of real world impact and usability. I'm not gonna talk about it now, maybe in the next episodes after there's some time between the announcements and the winners. okay, so and the cloud.
So I guess those are kind of the biggest takeaways that we learned from this hackathon. And do you think it also validated for us as Revel to, as a startup, when I came to you with the idea of the hackathon and what I saw in Stockholm when Project Yelp and Project Levelable did the hackathon, and we went there and we bought an early version of Ray, which is Revel's intelligence, just kind of a Jarvis for Revel's agentic system.
We backed that team in that project. They did incredibly well, and they built the version 0, version 1 of Ray for us. I saw a huge opportunity that presented itself through the hackathon, which was recruiting talent. I'm so surprised how many people that are full-time employees of major companies from Tesla or major universities like MIT.
that will join hackathons, will hop on hackathons and you know full blown like just dedicate hours, days, weeks of their time to compete. So that was really great and I think where I was going with this Kamel was that we were
Brian Walker (36:02.348)
A lot of the VC questions that we get about Revel or, or, you know, for other startups, it's like, have you validated the problem and the product that you're building? Is there actual a need for it? And so, when I came to you with the idea for the hackathon, we were, I was like, Hey, let's put like Revel right in the middle of it, put the name and the product and what we're doing into everybody's head and through everybody's mind, and then get an honest feedback from all of the participants. saying, Hey,
this is what we're building, would you find that useful? What would you want to see? So I think for me, that is the validation that I see from this. It was like, before we did the Hecaton, we had assumptions from some communications with other members of robotics communities, but I think Hecaton did a really good job at validating that for us. Pretty hardcore, like yeah, like.
The training needs to be way simpler, which brings me to the next section here, which is high level of what we're doing at Revel, and just to kind of cover what we're actually building. I'll take a quick stab at it, and then you can add some things. But at a high level, we're working on a platform that will allow robotics to be trained from a prompt. So we call it Prompt2Train.
And we have sort of subsequent products underneath that make it all work from pretty complex agentic systems to data collection and data curation and labeling and whatnot to train up these new robotics policies. But ultimately, the platform is our core product that we're working on. And the goal is sort of, I think, Kamal, you said it in the early times of the podcast today was, you know,
the same way you can go on Lovable and you can say, hey, I really want to build this app that does ABC. At least to the stage of prototype, you can do pretty well with these sort of vibe coding tools like Lovable. I think System or Stash 44 is another one that's really popping off now and a others. So at a high level, we have a platform that we're working on that we can announce the name and everything within the next couple of weeks.
Brian Walker (38:27.2)
as we're coming to the end of September. think somewhere mid-October we'll probably go announce a few things about the platform. And then we have something that we're announcing actually. Well, we're going to be announcing it next week. And this is being recorded week early, so we can say that already, because it's already been announced actually, now I realize. Which is RevelCore. And that is the agentic system that goes out, finds the, looks for the data that.
will most likely to be used with robotics in the next 6, 12 months to a year, two, three. That will make the combination of training and that particular tool or asset most valuable going forward. So really happy and excited about that. Yeah, what do you think? That kind of covers it, right? Making robotics training stupid simple. That's the name of the podcast as well, Stupid Simple. That's kind of at the core of our mission.
And how we're doing that is with a platform that will allow users to basically import or select a robot from a library and then basically go from a prompt to training up a new policy. Compute, integrate it on the back end with an accurate calculation of what the cost before you run it, obviously. So if you come up with an idea and you want to train a robot to do something, it will.
collect the right data, process the training curriculum, and everything happens for you on the back end of it and prepares it to create a new policy. gives you a calculation estimate on what it's going to cost in terms of compute. And then you can go from there. So at a high level, think that's a did I miss something important?
Kamil Dusejovsky (40:17.032)
No, no, the main thing is we want, what we want to accomplish is teaching robots with sentences instead spending days on setting up your training software, simulation software, transferring to cloud and spending, you know, maybe a day to troubleshooting the environment.
Brian Walker (40:45.123)
Mm-hmm.
Kamil Dusejovsky (40:47.188)
to make sure that your software is working.
Brian Walker (40:51.01)
That kind of happens every time you want to train up a new policy, It's not like you set something up and then you're like, okay, done. And then once you finish that policy, you go into training a new policy, you kind of go through that whole same process again, validating the assets, the physics and whatnot, and the environment. It's an endless loop of wasted time and energy and resources of the engineering talent. So that's what we're on a mission to solve.
So I already asked you about the takeaways from the hackathon. Do you have something you wanted to add or you want me to move on to the next one?
Kamil Dusejovsky (41:27.902)
Yes. Yeah. You know, takeaway since the results were released already and other takeaways, there's incredible amount of people that want to hack at this and they want to go through this trouble and build something, you know, make robots do something useful. know, my favorite, you know, now I can say it is the hospital actually, maybe you're surprised, but
That's a real world problem that is solved during our hackathon, know, serving people at a hospital on a food on a tray. That. that's the one. Okay.
Brian Walker (42:07.264)
It's my favorite too. You don't know it because today is the day when we are picking the, but that's mine as well. Yeah. I thought that it was the exact reason. It's like, yeah, that is definitely a job that can be automated to a job to like basically take the trays of food and bring it to the patients throughout the whole, yeah, like absolutely.
Kamil Dusejovsky (42:15.239)
Okay, yeah.
Kamil Dusejovsky (42:31.644)
And then the language, the language models too, where you, you, they're controlling the pick and place using language. That's incredible too. Really great job guys. And the drones, you know, cause I, can't wait. The Amazon's pretty fast in the U S like I just ordered something last night and it's here at 8 AM. But you know, if a drone brought it, it could be faster.
Brian Walker (42:38.669)
Mm-hmm.
Brian Walker (42:59.64)
So if we recap the hackathon, I think it's definitely been a success for us considering how quickly we put it together, considering how much money we raised out of just a few incredible partnerships. I think that's amazing. How many people signed up, how many people total and participated, how many submissions we actually end up receiving in the end was also pretty amazing actually.
You know, we don't know right now the winner, but we know kind of who you like. So, you know, this will be interesting to see on Friday after we did the judging with the judges on Tuesday. Today is Sunday when we're recording the episode for this week's Friday when we're going to launch it. And then we have the live stream with Nvidia to announce the first, second and third place. So I'm actually excited. Like we both like the hospital and because I feel like it's all such a
useful, you know, it's such a useful task where you combine robotics and also the team that did that picked a item from the rebel library that I was like, how somebody going to do anything useful with this? And here's the surprise. It's like, Whoa, okay, that's one of the best things that I've seen. That's amazing. In the live stream on Nvidia, which happens
prior to this release of the video, we teased the hackathon 2.0. Tell me a little bit about what we're gonna do, what is our goal with the hackathon 2.0.
Kamil Dusejovsky (44:39.764)
First of all, it's gonna be much bigger, which this one got pretty big for the short amount of time we had. This second one is gonna be massive. I can't wait. We're gonna use RevelCore for the second hackathon. Am I correct, Brian?
Brian Walker (45:04.385)
Yep, yep, we're going to attempt to get the assets and RevelCore to collect. Our goal is by the time we're launching the Hecaton in November, I think we would love to 100,000. Yeah, 100,000 assets. And we'll probably do a selection for Hecaton again, like we did for this one.
because that was so much fun when we put just a random objects into the hackathon and people were like, and you told me yesterday or today that somebody really liked the fact that they didn't know which objects are there, they're going to be given until they signed up and they got into the hackathon and they're like, here's a bunch of random objects, make something useful.
Kamil Dusejovsky (45:51.424)
And that was great because it kind of prevented people doing the work ahead of time. know, everyone had the same amount of time to hack at this. So I'm, yeah, I'm happy they liked it. That, that plan, it was exciting. You know, you get dropped a library of items, go figure out what useful tasks to do with them. And you have two weeks to do it. Yeah. That's two weeks you can play. So yeah.
Brian Walker (46:13.058)
pick in place and it has to be pick in place. Yeah, yeah, yeah. Okay, so.
Kamil Dusejovsky (46:19.306)
Yeah, I'm really liking the feedback.
Brian Walker (46:22.894)
So Core, yes, to answer your question. So Core will select assets, but these assets will now be basically generated and picked by RevelCore, which is our data, our supreme orchestration of some of the best agent, agentic agents systems in the world and that we'll be creating our library. So I'm excited about that. We're going to be publicly announcing that actually this week as well.
So excited about that. And then what else are we doing with this 2.0 hackathon? I mean, we already have so many amazing judges, but we got some pretty amazing people already talking to us about the next one and putting their kind of name into the hat saying, I'd love to be a judge on the next one. So that's been pretty exciting actually for me.
Kamil Dusejovsky (47:17.14)
Yes, and you know, we're putting together this great judging panel. So we're also on the other hand expecting the Hecaton participants, you know, to build something great so we can show to the judges during the live judging, which happened this first time. I'm so happy to see some of these really incredible projects done in a short amount of time.
Brian Walker (47:31.896)
Yeah.
Brian Walker (47:41.966)
I agree. agree. One thing that is sort of challenging with remote hackathon like the one we did is that other than emails and few chats in the discord, we're kind of once we launched and everybody's off to building, we don't see much progress happening. And then literally the inbox flooded with submissions within an hour of the deadline. And we were like, wow.
So I'm super proud of, hey, by the way, Kamil, you did all of the emails and correspondence with all of the participants and all of the technical questions. And you got the website and the library assets and all of that. So I wanted to say thanks for stepping it up and delivering. Because we've really pulled this hackathon together like.
Kamil Dusejovsky (48:11.817)
Yes.
Brian Walker (48:39.5)
was 10 days and we launched like from we you know we're like incorporating and then and we're like okay let's you know we started the pool with a thousand dollars and got it all the to all the way to I don't know actually I can't say because at this stage we're still talking to some some sponsors that might come out towards the end so I'm not sure exactly when we landed but as of the recording we were already at six thousand dollars which
which is amazing. And we got some really incredible sponsors. we want to definitely be going to do some other follow-up episodes. The plan for the next few episodes, Kamil, is to have the winners from the hackathon on a podcast to talk about the projects and what gets them going about robotics. And then a couple of the incredible sponsors. We'll have a few slots for talking to some of the amazing sponsors that we've had and supporters. And then
I guess the only thing I want to add to the teasing of the Hecaton 2.0 is we're targeting November, early November, but we'll probably open the registration and leave the registration open much longer this time. We're thinking like two weeks. So it's towards the, say somewhere around the 20th, but you know, stay tuned, follow Revel on LinkedIn and we'll announce more there or in the Discord of Lichii AI or on the NVIDIA Omniverse Discord.
But that's kind of the plan right now that the end of October, we will open up the registration and then somewhere in the first week of November, we would launch the hackathon 2.0. I've been telling Camille that my goal with the hackathon 2.0 is to multiple X, multiple X the, and I don't want to say the number I've been using because Camille says we don't want to associate ourselves with the brand, with the other brand, and I agree.
Kamil Dusejovsky (50:31.709)
Brian Walker (50:32.462)
But we want to multiple X the prize pool, the reach and sort of amazingness of the judges. We want to multiple X the prize pool. said that the participants, think we had 125 registered teams. want to, we're aiming somewhere between 1,000 and 1,500 for the next one, which is a huge magnitude step up.
and participants, which also leads me to how many sign-ups we have for the Revel platform because of this hackathon. And so I think with the hackathon 2.0, we will jump up in how many people are interested in joining sort of the waitlist and getting on board of the Revel platform as as we launch it quickly.
So that is for me in terms of the hackathon 2.0 and kind of a recap of this hackathon. I have to say also Nvidia and Edmar from Nvidia has been extremely helpful. They've been really supportive and we're a little startup. We just kind of launched the company. They don't know where we come from, who we are, what we're doing. And they did put a lot of trust in us and supported us.
in every way, they're a huge company, they have thousands and thousands of people and businesses they're dealing with. And they got us, you know, incredible judge from Nvidia and Edmar, like I said, from the community has been super supportive. So I just want to give a little shout out to him. He's been really amazing. So thank you, Edmar. Can't wait to do another one with them. And then...
What do I have here next? Do you have anything in terms of the hackathon or the hackathon 2.0? Did you want to kind of give any closing?
Kamil Dusejovsky (52:26.002)
Yes, I do.
Yes, go to revelstudios.io slash hackathon to sign up for the second one. Get on the list so you know, you're one of the first ones to find out more information when we starting when the submissions. So revelstudios.io slash hackathon link will be in description.
Brian Walker (52:52.728)
Super, super. I got rapid fire host Q &A, trust and taste here. Five quick questions each. Most underrated, same tricks. One thing you ban in robotics decks. Favorite tool, benchmark first, whatever. So I guess it's kind of like something that I was thinking we could add to the show is like a quick rapid fire at the end. So I'll start just kind of give you a hint is.
We just saw Google DeepMind come out with a, correct me if I'm wrong, but it's a first open source robotics model. They're calling it R1.5. I'm not sure if it's the first one, but I think it's the one from Google DeepMind. So that's a pretty big benchmark. So kind of just like a little rapid fire of maybe some updates, texts, questions for me and you. Yeah.
Kamil Dusejovsky (53:50.57)
That'd be a great section doing a few little updates we've heard about recently. that just validates our plan, you know, seeing these robotics foundational models, seeing these world models advance and just seeing robotics going that way and these world models getting better and us making robotics stupid, simple. I can't wait. It's exciting.
Brian Walker (53:51.726)
Okay.
Brian Walker (54:15.886)
Yep. Which brings me to maybe one more thing that we can kind of go from high level in terms of what we're doing is we took a big bet or I took a big bet and you were like, I'll trust your gut on this, which is I appreciate it man. Thanks. But, uh, I told you a while back, I believe that we are headed to the point where the models and the training of robotic
of the new policies and new behaviors and skills and performance will be able to sort of be done off of imitation and video training only. that's the only thing you will need is sort of demonstrative videos and training. And so we took a big bet saying, hey, like let's put all of our kind of focus of that direction. And in the last two weeks with the
Google DeepMind R1.5, Figure, Figure announcing, by the way, other news, right? Figure just closed their CEC over $1 billion. They just raised over $1 billion. And they released the project Go Big, which is their partnership with a company that owns like 100,000 residential units across the world, where they're collaborating with the residents to basically collect video data.
of videos of just millions of different scenarios of these people doing basically house or chores, tidying up, choreing in certain things, cooking or cleaning up, taking your dog out, whatever, that they're going to use in their pre-training data set collection to train the next model of Helix. And that kind of, that was a big...
How do you call it? Like when you're sail of your boat, like you get a lot of big push from the wind, know, it gave us a lot of motivation to continue and then felt like, felt really good on my end too that I feel like the bed was paying off and that we're actually thinking the right way and moving in the right direction. rapid quiet question. What are you most excited about that we're working on now? Like what, when?
Brian Walker (56:38.84)
You know, when are you the most excited?
Kamil Dusejovsky (56:39.53)
To me, when I see something we make or we provide validated by the hackathon, like our asset library got used in the hackathon, now our library is gonna grow massively into Revelcore and I cannot wait to see the submissions and read the write-up that the teams...
Brian Walker (56:50.785)
Mm-hmm.
Kamil Dusejovsky (57:01.733)
about the team's project and to see that they've used our library or something that Revel provides in the right way. That's what I'm most excited about.
Brian Walker (57:12.31)
Okay, cool. I'll do another rapid fire, then you try to do one to me, I guess. What is the one thing that you feel like we need to improve the most on in terms of robotics that maybe we're working on at Rev-O or not working at Rev-O? What is something that you feel like it's the biggest concern?
Kamil Dusejovsky (57:38.304)
Biggest concern? The training cost, the knowledge gap that people have to jump through to get to a point where they can train new policy, new skill in the robot. I think that's my biggest concern. going to be a big, big obstacle people have to get over to, you know, be able to take advantage of what robotics and the humanoids are going to do in this world.
Brian Walker (57:50.542)
Mm-hmm. Mm-hmm.
Kamil Dusejovsky (58:07.56)
So I think once we get over this obstacle, it's going to be a rocket ship, as they say. Let's see, Ryan.
Brian Walker (58:17.006)
How do you feel about, how do you feel, hold on, like quick follow up, sorry. How do you feel, you've heard this from me and I think you shared this with me, that like the fear of some people actually having like a fear of robots, like, you know, like actually the physical unit, like this humanoid just like being in your house and.
Kamil Dusejovsky (58:38.706)
Yes, you're right. I've, I've observed this in the field because, I have a Tesla, a few friends that have a Tesla. I love self-driving and you know, I oversee, make sure the car ride, the robot is, is actually doing what it's supposed to. Sometimes it sketches me out a little bit. It seems almost too human in the way that it makes mistakes. but I observed my friends that.
are really scared of this self-driving, the full self-driving and they bought this amazing machine that has all this capability, but they're not willing to use it to full potential basically. And that's something that will come with robotics too, right? When I come with my humanoid, show up to a friend's house or they come over to my house, there's a humanoid there, they will be very skeptical.
worrisome of basically what it can do, right? That's the worrisome with the self-driving car is like, I'm not sure what it can do. I'm not sure if it makes mistakes. That's going to be one of the problems too. And that's going to be important problem to solve creating boundaries around what the robots can do.
Brian Walker (59:57.646)
And it will be interesting to observe like household pets and animals when all of sudden people are to start having humanoids at home, like doing their dishes and laundry, and maybe even giving the cat or a dog food and then giving them the ball, and then cat or dog just looking at this robot thing that just goes like, weep, weep, like here you go, know, little guy.
Kamil Dusejovsky (01:00:20.53)
Yeah, now you say that, like I think of a humanoid holding my cat and that actually scares me too. But it will be, I think when we get to a point of anyone being able to train, I think that's gonna bridge that gap and it's gonna make people more comfortable when they are able to.
train a robot to do something, right? When I'm able to train them to water my plant in a way that I like it. That's gonna, that's gonna, think, make people much more comfortable with them when they're able to teach them something.
Brian Walker (01:01:01.758)
Or exactly, or they might even take care of your plants better than you because the robot can use all this sensor and can see if the plant is over watered, under watered, if it has enough light or not light, right? like same thing we've seen in the LLMs, but you're basically now giving the LLM, the embodied AI, you're giving it a of sensors. Yeah. Yeah, that's really interesting. think.
Kamil Dusejovsky (01:01:26.708)
I have a rapid fire question for you Brian. What is the first thing you're gonna automate by using a humanoid when you have him at home?
Brian Walker (01:01:29.358)
Yeah, go.
Brian Walker (01:01:42.348)
The first thing, the, okay, I got your question.
Kamil Dusejovsky (01:01:47.764)
What do want to outsource to him?
Brian Walker (01:01:53.854)
I want to outsource something actually kind of not for me per se. Well, it's for me. So happy wife, happy life. I want to outsource the thing that my wife hates doing the most, which is dishes. Doing dishes. So I want him to be able to load and unload the dishwasher and take the dishes away and separate and put it into, you know, all the correct cubbies and like laundry too, like take the laundry.
take it out of the washer, dry it, hang it, put it away, it. Because I'm building this company and my wife is a stay at home with our kiddo, right? And if she has more free time from the chores, so I would be pretty excited about, would just, and for me, okay, the question was to me, meal prep. Like having an amazing meal prep, like just nutritious.
delicious foods made fresh, where I don't have to worry about the grocery shopping, the ingredients. I just say, these are the amount of calories I want to eat. This is the amount of protein, carbs, fats and whatever. And I can just have amazing meal prep. It's kind of like, yeah, that's pretty, that would be pretty, that's pretty amazing. You can do that, I can hire a private chef, but if you have a humanoid, can do...
Kamil Dusejovsky (01:03:15.389)
Mm-hmm.
Kamil Dusejovsky (01:03:20.416)
It's really the biggest selling point of a human gonna be Can it do my dishes and my laundry because I do do dishes at home my wife does the laundry and For me. Yes, like if when it can do my dishes is when I'm putting that guy in my home
Brian Walker (01:03:31.041)
huh.
Brian Walker (01:03:37.438)
Have you seen the latest video of the Helix model from Figur where he's loading up the dishwasher? So you saw the, you saw the, yeah, yeah, yeah. I saw the, and you know, funny, funny little add to our podcast. You know, one of the number one things that couples argue about in America is how to load and unload, not to unload, but I guess how to load the dishwasher.
Kamil Dusejovsky (01:03:41.662)
Yeah. Yeah. Folding laundry, loading up dishwasher.
Kamil Dusejovsky (01:04:03.562)
Yeah.
Brian Walker (01:04:05.974)
When I saw that humanoid from figure loading that dishwasher, I was worried that I was like, okay, there's a lot of room for improvement here. mean, it was amazing and we're early, but if he was loading my dishwasher like that, would be pretty like, I would be like, let me show you how it's done, son.
Kamil Dusejovsky (01:04:23.424)
Yeah. And let me add something to this. Actually, I just thought about this. I cannot fold laundry correctly. So I'm really excited for someone else to come in and be able to do that stuff.
Brian Walker (01:04:31.201)
You
Brian Walker (01:04:36.682)
Okay, and so what would it be for you if I just throw the same question back at you? Would it be like a chores as well? Just get a more free time.
Kamil Dusejovsky (01:04:45.79)
Yeah, you know, I just want to get rid of the tasks that take me away from the work that I want to do, the exciting things that we're doing here. Yeah, I just want to build things and not worry about my dishwasher not being loaded correctly or dishes being downstairs. Even though now thinking about it.
I wonder if after a month of not doing dishes, I'm just kind of wanting to want to do it once, you know, just to get the human feeling back.
Yeah. Hey,
Brian Walker (01:05:23.638)
Is there something, is there's, yeah go ahead.
Kamil Dusejovsky (01:05:27.028)
Go ahead.
Brian Walker (01:05:29.364)
Is there something, so my last rapid fire question to you, is there something that you see that the humanoids will never do?
Kamil Dusejovsky (01:05:42.076)
Never do.
Kamil Dusejovsky (01:05:46.196)
I can think of lot of things that will take a long time for them to either do or people be comfortable with them doing.
Brian Walker (01:05:52.704)
Let me rephrase. Let me rephrase. Let me rephrase the question. Is there something that you think that people will not ever want the human race to do? Like we will like, no, don't.
Kamil Dusejovsky (01:05:55.701)
What took?
Kamil Dusejovsky (01:06:08.32)
You know, first thing popped up to my mind is taking care of babies. But now I'm thinking actually they will want to outsource that too, because, know, it's a struggle for a lot of people that getting help during. I don't have kids. I know you have a kid. I've observed, you know, my friends having kids, my sibling having kids. And I know that's really, that's tough time, you know, in your life and it's a lot of hard work.
And I know that people will want help with that. What they will never do. You know, I guess the things you actually let me get to it. The things you love doing like you don't want to outsource the things you love doing. So whatever is your hobby or your, your go-to passion. That's you don't, you don't want to outsource that.
Brian Walker (01:06:58.574)
Cool. Okay, cool. Do you have a rapid fire question or that's it? We're closing with that.
Kamil Dusejovsky (01:07:04.384)
That's it. I'd say, um, yeah, let's do some call to actions. Make sure you sign up for next hackathon. If you're interested in hackathons, um, sign up on revel studios.io. If you're interested to find out more about our platform, join the wait list and let's I'm excited for next episode. Yeah, we're going to have some guests. We're going to talk to people, you know, that
that have boots on the ground and that they hack away at the projects. So it'll be exciting.
Brian Walker (01:07:38.488)
Yeah, think I want to second the signups. I think it's super important for us, obviously. So we're super grateful to the hundreds of people that already have signed up for the platform. So far, know, the stuff that we put out about the platform is that it is sort of going to be this prompt to train simplification, know, stupid simple of training robotics. But one of the things that is super important for us, and this is why we're doing the hackathon.
why we did this first one, why we're doing another one, is building in public and building with the community, getting a loop, very close loop feedback from the early adopters. So anyone in robotics who wants us to succeed and help us solve this faster, if you sign up, you'll most likely be among the first few hundred, few thousand people that will have access to the platform sort of pre-beta, where we're developing the
version zero, you know, we're hoping to launch our MVP sometime in the end of Q1 2026. So roughly five months from now, but we'll have sort of early access to the trusted sort of folks in the hackathons, the early stage signups. you know, yeah, please go to the website and sign up for the platform. We'll be sharing a lot of emails with you in terms of the progress and getting feedback. Cause I think
One thing that I take away from the hackathon was it's been a great decision for us to build in public and getting feedback and learning from the community because you just multiply, like you just think there's a problem and then you hear from 20 different people and all of a sudden you see problems that you didn't think even was a problem or was a concern and immediately we can incorporate that sort of into. So having that pre, you know,
Pre-launch of our platform even kind of a consumer customer feedback is super important So I just wanted to second the signups and the call to action. Yeah, please go to our website there the link Where are we putting this Camilla? We're putting this on our YouTube channel, right? And then we're gonna post the episode on our socials on LinkedIn and then are we doing a like
Kamil Dusejovsky (01:09:48.018)
LinkedIn. So make sure you guys comment below on what would you like to see here, who would you like to see here, which guest, because I am certain that Brian can get any guest on here. So please comment under and repost this if you can, that'd be awesome.
Brian Walker (01:09:58.293)
yeah.
Brian Walker (01:10:08.898)
Yeah, are we doing also iTunes and like Spotify? Are we doing the audio version only of this as well? Is this going into something like that? Maybe? Okay. Okay, closing. Subscribe and share with your robotics friend. So this was fun, man, for our first episode. I really enjoyed it.
Kamil Dusejovsky (01:10:17.184)
Let's do it.
Kamil Dusejovsky (01:10:30.708)
Yeah. You know, like I started this, you're asking why are we doing this? One of my favorite parts is we get together for an hour and chat, you know, so it's awesome. Yeah.
Brian Walker (01:10:39.63)
Chatter about robotics. OK, super. Thanks, everybody.
Kamil Dusejovsky (01:10:52.97)
Good?
Brian Walker (01:10:55.734)
Yeah. You want to stop recording?
Kamil Dusejovsky (01:10:57.546)
There's... I mean... It's fine.