When Will Openclaw go Mainstream? | E2252

This Week In Startups is made possible by: Gusto - Try Gusto today and get 3 months free at gust.com/twist Crusoe Cloud - Reserve your capacity for the latest GPU's at crusoe.ai/savings Uber AI Solutions - Book a demo today at http://uber.com/ai-solutions Today's show: It's a packed show! We've got YouTuber and Openclaw enthusiast Matthew Berman, Ryan Yaneli, founder of Nextvisit, and Jason Grad, founder of Massive! We're all in on Openclaw, but we have no doubts there's still room in the market for a GIANT Openclaw consumer app to shift the paradigm. What will that look like? Will it be an app? Will it be baked into the iPhone? Let's explore! **Timestamps:* 00:00 Intro 02:04 Why Matthew thinks Openclaw is not ready yet to be brought to the consumer 04:45 Jason doesn't want hundreds of different apps, and thousands of tabs 05:45 Why Ryan sees open claw giving consumers access to opportunities they couldn't have gotten to otherwise. 07:02 Only 10% of people are technical enough to install openclaw 08:16 Would Openclaw be better off as an app? 08:27 Gusto. Check out the online payroll and benefits experts with software built specifically for small business and startups. Try Gusto today and get three months FREE at gusto.com/twist 10:52 The killer use case that could bring Openclaw to the consumer 00:12:13 Why Meta acquired Manus. 00:15:13 How Ryan uses Openclaw in his personal life 00:18:44 Crusoe Cloud: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit crusoe.ai/savings to reserve your capacity for the latest GPUs today 00:23:24 What Jason's "Clawpod" does 00:24:38 Jason demos his Openclaw workflow 00:28:23 Uber AI Solutions - Your trusted partner to get AI to work in the real world. Book a demo with them TODAY at http://uber.com/twist 00:30:04 How Matt used Openclaw to figure out he's been having stomach issues 00:32:27 What will be the ultimate UX for AI? 00:38:53 Anthropic has patched the ability to use Openclaw through its pro plan! 00:42:20 Matt and Jason hope for a multi-model future — but we haven't made progress! 00:52:21 Jason has skepticisms about the Openclaw foundation 00:52:59 Ryan predicts a new Openclaw fork coming from the shadows! 00:54:21 Peter Steinberger is going to OpenAI, NOT to work with Openclaw… Will he "orphan" openclaw 00:58:19 does raspberry AI stand a chance against Apple? * Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com/Check out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Lon:X: https://x.com/lons*Follow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis* Thank you to our partners: Gusto. Check out the online payroll and benefits experts with software built specifically for small business and startups. Try Gusto today and get three months FREE at gust.com/twist Crusoe Cloud*: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit [crusoe.ai/savings to reserve your capacity for the latest GPUs today. Uber AI Solutions -*Your trusted partner to get AI to work in the real world. Book a demo with them TODAY at Uber.com/twist

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Speaker 00

  Don't install OpenClaw on your work computer.

• 0:02Speaker 01

  You're putting a bunch of your information there and you're giving it a bunch of your passwords.

• 0:05Speaker 02

  They probably can lock down that security pretty well, but then you're very limited in what you can do with a one-click OpenClaw type system.

• 0:14Speaker 00

  What do people need to know in a business or personal context about security right now with OpenClaw? Do we have enough guardrails in place to keep people reasonably secure if they're going to play with this?

• 0:24Speaker 02

  We're getting right into some personal information here.

• 0:27Speaker 00

  I think is exactly why we're not mainstream yet with this stuff.

• 0:32Speaker 00

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• 1:15Speaker 00

  Check out the online payroll and benefits experts with software built specifically for small business and startups. Try Gusto and get three free months at gusto.com/twist. Hello, everybody. Welcome back to Twist. This is Alex. Today, we want to answer a very important question, which is, when will OpenClaw go mainstream? Now, if you've been watching the show lately, you know we're all in on OpenClaw. But for mainstream consumers, it's just too technical still. Most people are not able to use it. Think about your parents or your friends that are outside the tech world. But we think that the first consumer app to truly bring OpenClaw into the mainstream will become a unicorn. The question is, what's that going to look like? Is it an app? Is it built into your phone?

• 1:59Speaker 00

  And how much does the average consumer actually care about security and the way that we talk about it if it just works? So to help us understand consumer adoption and to give us some tactical and practical demos, please join me in welcoming our guest today. We have Matthew Berman. Matthew is a well-known YouTuber with hundreds of thousands of subscribers, diving deep into how the average person can use OpenClaw today. Matt, welcome to the show.

• 2:22Speaker 02

  Thank you, Alex. Good to be here.

• 2:24Speaker 00

  Then we have Ryan Yaneli, the founder of NextVisit. He won our recent Gamma Pitch Competition, so he might look familiar to you. NextView is an AI-powered clinical documentation platform for psychiatrists. You can kind of imagine how agentic automation might play in there. Ryan, welcome back.

• 2:41Speaker 03

  Thank you for having me again.

• 2:43Speaker 00

  And calling in all the way from Europe, it's Jason Grant, the founder of Massive, a company that I covered their funding round back in the day. As it turns out, Massive helps companies gather public data from around the world, which they can then bring to bear on their own AI use case. And he recently launched something called ClawPod that we're going to talk about. Jason, welcome to the show.

• 3:02Speaker 01

  Great to be here. Thanks for having me.

• 3:03Speaker 00

  I'm so excited to have you all here because I have been spending my time deep in the OpenClaw mines, burning tokens and basically trashing my family's finances. But we're going to start with the average person today. We're going to talk about going mainstream. So there's conversation about how if OpenClaw was appified, if you will, it would immediately shoot to the top of the App Store. And everyone would love to do it, but it still feels to me that OpenClaw is far too complicated for the average person to set up. So Matt, you've been doing a lot of work helping people understand this. Where's the average person in terms of readiness to adopt OpenClaw? And what's holding them back?

• 3:38Speaker 02

  I don't think it's quite there. I think this is really a tinker's dream right now. You have to install it locally. You're still trying to iterate rapidly, figure out what works, what doesn't work. There's still so much discovery, but for the average person that just wants a one-click install and everything to just work, it's not quite there yet. I think the Google actually probably has the biggest opportunity to do this, right? They have all the data. They have so many different services that they offer with Gmail and Calendar and Drive. And if they just continued to push forward as they have been, and maybe even take a little bit of the red tape off and allow you to plug in your different services, I think they would probably be able to deliver something incredible.

• 4:23Speaker 00

  But the security concerns wouldn't be solved just by having access to all that information. So do you think that Google has the will to actually go forth and build something that forward looking? Or are they more conservative and therefore going to wait for someone else to take the baton?

• 4:35Speaker 02

  If you asked me that 18 months ago, I would have said they're not going to be able to get out of their way. But now, looking at just how far the Gemini series of models have come, how deeply integrated it is into every single product and service that they offer. I do think there's an opportunity there. Obviously, being a multi-trillion dollar public company, they have to think about the security. And there are still a lot of security issues. Now, the thing about that is if you're plugging in a bunch of different Google services and it's all within their, it's all within their cloud, they probably can lock down that security pretty well. But then you're very limited in what you can do with a one-click, open claw type system. So you still need to connect other services and I still do think Google can do it.

• 5:21Speaker 00

  Yeah. Jason, the mobile comment is very interesting to me because when I think about my phone, I'm an iPhone guy. I guess I should admit that up top here. It's amazing how the AI world seems to have absolutely missed the operating system layer. And instead, it's occasionally an app that I pull up on my phone. But if you think about it, given what we can now do with OpenClaw on our computers, it feels really backwards to me. Am I being too impatient?

• 5:45Speaker 01

  I mean, first of all, I think the people that have adopted this are, there's a lot of really vocal early adopters. And we've been speaking with people that use ClawPod and they're super excited to be testing stuff out. And this is a very small group of people who are very loud, who are like hobbyists, a lot of small business owners, a lot of people who help businesses set up workflows. And then some, you know, some people are in fact to pay in on how much work they have with their kind of normal jobs. I don't think your background, like backward personally, I mean, we're seeing, or if you've been Claw-pilled, as I guess you guys are saying here. We're seeing that. All you need to do is give your machine a set of instructions.

• 6:25Speaker 01

  We don't need this whole layer of UI, bloated apps, different types of weird experiences as a user anymore. I just want to have stuff run, have context from wherever I stored some information and then do something because it has access to do something else. I don't need to click into or have a screen full of hundreds of apps that I can't find any app. I don't need a thousand tabs open on my computer. I don't need another thousand apps that I'm installing on my computer and I'm dealing with this. All I need is really, you know, a skill that says what to do and gives me access.

• 7:01Speaker 00

  Ryan, do you think we're going to get there at the OS level? Or do you think that applications will for the now, for the next, I don't know, say six or 12 months, maintain their kind of pre-eminence on the consumer side as we consider agentic automation, Viz, OpenClaw, and its other tools out there that are related?

• 7:16Speaker 03

  It's, I think a lot of it's just going to be app-based, like for now.

• 7:23Speaker 03

  It's just, I see OpenClaw giving people that didn't have access to a tool or workflow utility before to have access to AI and these complicated tools and kind of give them that simple interface, although it's not simple yet to set up, but.

• 7:37Speaker 00

  On the setup point though, Matt, so one thing that you do on your channel that I really like is you break down kind of like what people can do with OpenClaw, kind of giving them a blueprint for getting started and getting set up. When you talk to people out there who are watching your stuff, where do they get stuck? Going from, okay, I want to try this out, I've heard about it, to I can't quite make it work. Where do they, where's the falling down point?

• 7:58Speaker 01

  I actually think the falling down is kind of discovering the use cases that make sense for their life. That's why I've been just exploring so many different use cases, trying to document them, trying to put them out there. People kind of understand the gist of how this works. You have a Telegram or a WhatsApp, personal assistant, built in, stored locally on your computer. You can do anything with it, but what is that anything? And I think like discovering what those actual use cases are, those are the questions that I personally get all the time, not only from folks who watch my videos, but also my friends who are technical enough to get this installed.

• 8:30Speaker 00

  I see. And what percentage of your friends do you think are technical enough to get this installed? Just if you had to put a number on it for fun.

• 8:36Speaker 02

  Uh, it's 10% and it, you know, when quote unquote normies, I don't, I don't think it's quite ready for them yet. Again, like if you can, if you can vibe code, if you are decent at vibe coding, you can absolutely use OpenClaw. Uh, but I think for the vast majority of people, it's not, it's not ready yet.

• 8:53Speaker 00

  Yeah, I agree with that. Jason, uh, if you had to put a guess on how many of your friends could set up OpenClaw today, uh, friends thinking broadly, not just your tech friends, but just your social circle, what percent could pull it off without you swooping in to save the day and help them out?

• 9:07Speaker 01

  I'm running a, a pretty high velocity startup right now. The amount of time I'm catching up with friends is, is limited these days.

• 9:13Speaker 00

  Sorry, I, I did assume you still had friends. I should have known better than asking the founder.

• 9:18Speaker 01

  I have them somewhere. Um, pretty small. I mean, some people will mention it here and there as I'm, as we have touch of conversations, but it's a really small percentage outside of, you know, techy founder type friends.

• 9:31Speaker 00

  Yeah. Yeah. Ryan, back to your point about, you know, sticking with apps for a while, probably for the consumer. Uh, do you think that the, an appified OpenClaw on say a mobile device would be useful, given the way mobile operating systems are set up today? Because the way that I think about iOS, for example, is that it's, it's so locked down that you couldn't actually probably ape what we can do with OpenClaw on PCs on mobile today. But I just want to kind of vet that against your views here.

• 9:57Jason Calacanis?

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• 10:39Jason Calacanis?

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• 11:12Speaker 03

  I think that if open claw was in the form of an app where the use cases for how it's going to be used by the average consumer are defined, kind of like what Matt said before,

• 11:24Speaker 03

  it's going to make it easier for a consumer to say, oh, okay, I see why I need this. And it's going to come down to, I think, like, whoever is running that platform on the back end, like Google or Anthropic, whoever it might be.

• 11:42Speaker 00

  Okay, well, we'll have to see how that works out. But one thing I did see is that over on over on Polly Market, there is people betting on this. And the reason why I'm so curious about the app side of this is there was a moment when people thought that I think an open claw ish app would come to market and knock finally chat GPT out of the top of the app store. And lately, we've seen those numbers absolutely drop. If you're on the audio version of this, essentially, the number of people who think that chat GPT will lose its top spot is dropping by double digit percentage points. So to me, this implies that we're not going to have a good app version of it, which means that consumer adoption will remain slow. And this is going to stay kind of a tech product for the foreseeable future. But Jason, please.

• 12:27Speaker 01

  This will be a breakout success as soon as it solves a painful either it solves a painful enough problem for people to go through the steps to setting up and get over security risks. And that converging on it becoming very easy to have your instance set up or have it set up on whatever device you want. So it's going to get both easier to implement this. But there needs to be a killer use case that brings us into the mainstream because and by the way, because of my background, very security. Concerned, we, when this came out, I immediately flagged to everyone in the company, do not install this on any work machines like the day I saw it. Cause I knew there would be so much temptation.

• 13:06Speaker 00

  We're, we're going to get to the Wired article in a second, I promise.

• 13:08Speaker 01

  But, but yeah, but yeah, but, but what I'm saying is that, um, yeah, I think users have thrown away their security because something's on the pay point for decades now. It's, it's a huge problem that we all see, but, and so I think the use case is going to be really what brings us to the mainstream.

• 13:24Speaker 00

  I, I feel like we're, we're getting really close to crypto territory here. Like what is the use case for this awesome, cool new technology? Um, what do you think that use case, that killer use case will be, Matt? And do you think we know what it is yet?

• 13:37Speaker 02

  Yeah, I, I want to just actually point out Manus, Manus AI acquired by Meta. That, that is the reason that Meta acquired Manus. That is essentially kind of the, the fully hosted version of Open Claw, right? And didn't Manus at a certain point reach pretty high up in the App Store rankings?

• 13:54Speaker 00

  I don't recall, it's actually, it's App Store rankings progression, but for folks listening, Manus was a Chinese AI company, moved to, I think it's Singapore to redomicile. And then Meta bought it for $2 billion. Matt, back me up here, in the last month, month and a half?

• 14:08Speaker 02

  Yeah, very recently. And I think the point is like, if you look at what Manus is capable of, and when Manus first came out, it's a lot. It's kind of that's a very akin to what Open Claw is able to do. Open Claw is obviously much more configurable now because it's not fully cloud based. But I think that's Meta's plan with it. Uh, so I just wanted to bring that point back for a second. And, and yeah, Manus just looks like it could be maybe that first breakout Open Claw version.

• 14:33Speaker 00

  Manus though was, if memory serves, aimed at the SMB market. So aimed at small businesses versus consumers. And when I think about mainstream, to me, that does imply consumer, Matt, more so than, I don't know, your average kind of mom and pop or brick and mortar.

• 14:48Speaker 02

  Yeah, I actually, I think that's a really good distinction. Are we talking about personal AI assistants? Or are we talking about AI assistants that can get knowledge work done? For me, right now, Open Claw is doing both, which is wonderful. Manus, yes, it was much more focused on the knowledge work use case, but I think now that they've been acquired by Meta, it's much more likely that they're going to be able to service both parts of that market.

• 15:08Speaker 00

  Okay. But back to the question about what the breakout consumer use case is going to be to Jason's point. If you had to pick like a top three thing that, or top three things that someone outside of our technology bubble would want to do with it or get value from, what do you think those are?

• 15:24Speaker 02

  As soon as, as soon as these systems can actually get real world tasks done consistently, that's probably going to be it. I know that's not necessarily what you're asking. You're asking for a very specific use case. I guess the short answer is I'm not exactly sure what that's going to be. It's probably going to be determined by what everybody needs in the moment. I think one that just comes to mind immediately is I have just complete notification overloaded all times. If I had a system that was a buffer between me and all of the information that I'm getting from email, from Slack, from, from everywhere, and these are personal use cases, and then can maybe even triage some of those things for me, that would be an incredible time saver and maybe something broadly applicable.

• 16:07Speaker 00

  Do you think the average person has so many notifications and inbound communications that they need that? Because you ever like, look at your, your partner's email and they've got like four that day and you're like, oh, we live in different worlds.

• 16:17Speaker 02

  Yeah, but then you, you think about Instagram and Facebook and X and like, it doesn't just come from email. It comes from everywhere and, and people are scrolling like crazy. I just think there's so much noise right now. The ability to actually filter some of that noise. Plus, when AI creates so much more noise, because you can create any image, any video, and then all of a sudden you need your own AI to filter all the noise coming through and only give you the signal. I think that's going to be a killer use case.

• 16:45Speaker 00

  All right. So on the use case front, Ryan, you sent over some notes about what you're actually using OpenClaw for. And I'm just going to list out a couple of things that you mentioned us. So start of the end of day accountability agent for yourself and your staff, business focused, not to consumer, but very cool. Weekly recaps, customer retention agents, issue tracking with auto resolution. You're using OpenClaw for a bajillion different things. What's your take? And then we'll get to the business side of this in a second. But if you had to pick a consumer friendly use case, what would you say is going to be the hot ticket in the next couple of quarters?

• 17:16Speaker 03

  I would say like the mundane tasks that you normally have to spend a little time thinking about possibly such like picking out groceries for the week, sending out a pickup order, stuff like that would be ideal. Like I want that workflow right now. But, you know, right now I have automated like a lot of other stuff with my health, as you may have seen in the notes and like just my daily productivity.

• 17:44Speaker 00

  Can you actually talk about your use of wearables and AI and how that impacts your daily life? And I'm going to try to not focus on your beautiful cat that is jumping around behind you. But talk to me about the health side of this and and why you made those choices to use OpenClaw in this way.

• 17:57Speaker 03

  I have a type one diabetes and it's it's an autoimmune disease that takes up a lot of my time normally because it's constant adjustments, it's alarms going off. And having AI to monitor my levels in real time and check to make sure the pharmacy has stuff in stock and send my orders out and prescriptions has been such a time saver to the point where I don't even have to think about management of type one anymore. It's just kind of a message on Telegram once or twice a day. So it's been incredible just how AI is how far it's come to where I can just send a message versus being on

• 18:42Speaker 03

  the phone for a half hour just to talk to pharmacy.

• 18:45Speaker 00

  Yeah. Is that something you think you could set up for other people en masse? Or is that something that you have to do kind of individually on a per person basis? I'm just thinking about, again, taking cool ideas and then bringing them to as many people as possible as quickly as possible.

• 18:59Speaker 03

  Yeah, I love open sourcing stuff that I can. So typically like this workflow, once I'm comfortable with it, I'm going to throw it on my GitHub and, you know. Let other people use it if they want to. I love sharing that stuff.

• 19:13Speaker 00

  Oh, I absolutely love that. All right. And on the subject of putting things up on the internet for people to use, Jason, I do want to turn to some business stuff here, some tactical and practical for the founders. I want to talk about Clap Pod, but first, actually, I think we should pause and let you talk about Massive and what it does, and then we'll get into the stuff. But give us some background, fill in the blanks for the folks out there who are not familiar with what you're working on.

• 19:34Speaker 01

  Yeah, sure. Massive is built in opt-in ethically sourced

• 19:41Speaker 01

  residential proxy infrastructure of millions of users and their devices around the world. And we make it easy for all of our clients to access the web at a large or massive scale. And so, you know, we're solving the same problem that with Massive that we want to solve for Clap Pod users is that the web wasn't built for machines. It was built for humans. And now this AI revolution has come and humans are realizing all these crazy things that we can do on the web. And that we can have agents do it for us. I don't want to be doing this stuff.

• 20:12Jason Calacanis?

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• 20:54Jason Calacanis?

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• 21:17Speaker 01

  For a lot of people, they want their computers to work for them and then they could do what they love. For me, I want the same, but I love working, so it just means I can be more productive. And it's kind of crazy that we still see these problems when we're using LLMs every day, like. Can I access that site or can I access that content? And this seems like such a solvable problem. It's a solved problem for us at scale with our clients. And so even as a human, I try to use the web and I get blocked by crazy patches that kind of interrupt my workflows.

• 21:48Speaker 00

  Not only that, but we used to complain so much about GDPR, you know, pop up notifications like do you accept cookies and how many, you know, people, years we've lost to people clicking those things. So often now I go to a website that I've been to since I was a child and it's like Cloudflare, we have to make sure that you're a person. And that is now a very standard roadblock just to using the internet. Jason, can I just ask you about the ethics of Massive? Because it sounds like exactly what I need because I have the same problem that you have. Often my either AI chatbot or my open client instance can't access a part of the internet that I would like it to. And it seems like Massive is a way to very politely get around those restrictions.

• 22:31Speaker 00

  How often do you get in trouble for helping people avoid the chain link fence?

• 22:36Speaker 01

  We built this company on ethics and compliance from the start in an industry that might not have been like so above board and transparent about what they did historically. So there's a few things that we do to stay out of trouble. And one is that all of our users that comprise our network are consenting users. They're opted in, they get compensated for being a part of the network. It is, it's a kind of an upfront deal that we have with them. And then the other part of that is that we are not a good service to use to do nefarious things. We block 5 million plus domains that would be used for things like DDoS for distributing malware or visiting certain content that might be illegal but not ethical. And we're definitely on the safer side of this.

• 23:20Speaker 01

  So we block all this content that makes us not practical to use if you want to do these things. So I hope that answers your question. We really have since the start of this company tried to do things the right way, not only in line with what is legal, but what we think is right in our version of the internet.

• 23:38Speaker 00

  Do the companies that are trying to keep out, let's say agentic calls on their websites agree with you or do they still protest a little bit? I'm trying to figure out the temperature of the people building more tools for AI agents versus the existing companies that might want to have a humans only sign across the door, if that makes sense.

• 23:58Speaker 01

  It's an interesting topic because a lot of the big voices in the space saying not to do this have been doing it all along, you know, so, you know, like, Google is involved in some cases where they're trying to make it hard for people to scrape, or they're saying that's, that's not the right thing, and they've had the biggest scraping apparatus in the internet history. And so, all these big companies that are coming out against it are also doing it. And so it's kind of a fine line. I feel where I personally, like, where it resonates the most with me is small business owners or site owners that are getting hit with tons of traffic. A lot of the traffic from scrapers, especially like very mass scale amount of AIs around, is not efficient. And so it could hit a site many times and create costs that make no sense versus just

• 24:43Speaker 01

  efficiently kind of scraping collecting, you know, using the info somehow.

• 24:47Speaker 00

  All right. So now, take us from Massive to ClawPod. I'm gonna pull it up here so everyone can take a look at it. It's a skill you built. I'm gonna show the Claw Hub page, but what is this? Why do we need it? And how's market reaction been?

• 25:00Speaker 01

  So ClawPod takes all of the tools that we built at Massive that lets our clients gather, you know, tens of billions of data points each month at scale, and it gives it to the consumers that they could use these tools and, you know, have a pretty easy way to make complicated workflows. So it's using our Unblocker API and Search API that'll allow you to access Google and kind of hard-to-reach sites, and then all of that's running on top of our proxy infrastructure for users across the world. And so now, as a, yeah, sorry, go ahead.

• 25:31Speaker 00

  Oh, no, please. I was gonna ask you about making the skill itself, but please, finish your thought. I didn't mean to cut you off.

• 25:35Speaker 01

  Oh, yeah. The skill wraps like all of our tools together and makes it really easy for users to, to access. They just go to Claw Hub to install it. I mean, like, to grab it there, but they can also just install it via their OpenClaw and say, install ClawPod. And then, basically, whenever you were about to run into one of those messages where it can't access some site, then ClawPod will automatically go and retrieve that content. Or you can build, and I'll show you guys one, a demo, but you can build, maybe this is a good time to show a demo.

• 26:07Speaker 00

  Yeah, no, no, bring it up. We love demos.

• 26:10Speaker 01

  So I'm giving a demo of a workflow that I built. Basically, I want to know everyone that's mentioning OpenClaw every day on TikTok, on X, on other social platforms. And so I'm using ClawPod to do this and it's going to go,

• 26:26Speaker 01

  and I told my OpenClaw, "Go, go use ClawPod and search a few pages of Google for OpenClaw with TikTok and X and kind of get people who mentioned it and some info about them and their profiles and stuff like that so that we can reach out." It'll take about a minute, so I'm going to fast forward in the video. You see the scraper's running. And then about a minute later, you can see that OpenClaw created a report. It found eight creators on TikTok and it's broken them down into tiers. So created with over 400,000 followers versus 50 to 400,000 followers, or 10 to 50 and so on. And it's created this for both TikTok and Twitter. And now this gets sent to the marketing team and they can automatically action it.

• 27:11Speaker 00

  So one thing, a question that I have is why does it take a minute to do that? I'm a very impatient boy and one thing I love about the internet is that things are quick. But I've also discovered, doing my own OpenClaw usage, that sometimes there is a bit of lag. So tell me about what's going on during that minute and how fast we can kind of get that shrunk down?

• 27:31Speaker 01

  Yeah, it depends what your workflow is. And this is kind of a workflow where you're, if you're collecting public web data, you'll want to run these as like a cron job and it'll create some, you know, usually this kind of thing will be running in the background. You're not necessarily watching it each time like on the demo. The reason is because it's actually going to visit Google. It's doing so in a way where we're not spamming Google with tons of traffic to the search pages. And then it has to go visit each one of those links and grab the content for you. And so there's ways to speed it up like parallelization. This is a pretty simple flow that I built. So if I spent a little bit more time on this, or any user that uses ClawPod, you could tell it to grab those URLs and then visit 10 of them at a time

• 28:15Speaker 01

  and that'll certainly speed up the workflow.

• 28:17Speaker 00

  All right, really quickly, people talk a lot about skills. We talk about downloading them, making them. Can you just give people a definition of what a OpenClaw skill is and what they look like? Because we just send people to your ClawPod page and I want to make sure that when they scan through it, they have a little bit of context about what it is they're reading.

• 28:36Speaker 01

  It is a list of instructions to your computer to how to use some technology. And so you're going to see in our, in our skill, for example, it says, and I just, I added Google search today. So it was pretty fresh for me. It's going to say, hey, this is a couple of APIs. You've got a Google search API, you've got an unblocker. Whenever the user comes across some content that they can't access, or one of their LLMs says to them, this site cannot be accessed, ClawPod should go and retrieve the information and send it to them. And it'll, and it says stuff like, use Massive Unblocker to do this, or use the search parameters if the user wants to go to Google. And that's pretty much it. And you know, of course, like a prompt, if you don't have an account, go get API keys

• 29:18Speaker 01

  and stuff like this. So it's just an instruction model for your machine. And I mean, the really cool thing about these skills is we've condensed sometimes huge apps down into just a small instruction manual that can live in a very tiny and efficient markdown file for your open file.

• 29:37Speaker 00

  Matt, one way that I kind of think about these, when I explain this to people, is that a skill is kind of like a recipe, if that makes sense. Like you're kind of giving a list of ingredients, kind of a run through of how to go about them. And you know, much like a human, it's not going to do the exact same thing every time, but it's a, it's a good guidebook or recipe, if you will, for what should be done. How fair is that?

• 29:55Jason Calacanis?

  Every major advancement we've seen in AI really comes down to better and more refined data, from autonomous vehicles to humanized robots, to LLM chatbots that we use every day, day in and day out. And when models are trained on high quality, diverse, real world data sets, well, they get smarter and they get smarter faster and it's more reliable. That's why Uber has introduced AI solutions to help your company build great AI products on top of world-class data. Now, obviously Uber has mastered the art of data collection and labeling. They're using it right now. Millions of trips around the world every hour. And Uber has an international collective of experts that is going to help you source, label, and evaluate real world, high-quality data on the scale that best

• 30:40Jason Calacanis?

  fits your project, whether that's super broad or hyper niche. You can get on with the real job, building the next best thing, and have Uber as your partner for data. Book your demo today by going to uber.com/twist. That's uber.com/twist.

• 30:55Speaker 02

  Yeah, very fair. So the way I look at it is a skill is a combination of natural language, a prompt to actually give the model, and then it also is able to call tools. And so the distinction between skills and tools is tools is purely deterministic code, meaning like the kind of more traditional code. It is if then and do this, hit this API. And those tools are available to the skills to call. The skills have prompts that can invoke the tools.

• 31:23Speaker 00

  I want to get to demo number two. You're going to show us off some cool stuff instead of Telegram, including some buttons that were apparently released in the latest

• 31:30Speaker 02

  Just last night.

• 31:31Speaker 00

  instance. Yeah, I can't wait to see this.

• 31:32Speaker 02

  We're getting right into some personal information here. I have had some stomach issues the last few months, and I wanted to figure out why. This is one of my favorite use cases, and I'm just gonna cut to the end for a second. It has figured out why I've had stomach issues, but let me show you what I'm doing. So at the beginning, basically, what I told it to do is look at everything that I'm eating. Sometimes I'll just describe it with natural language. Sometimes I will take pictures and upload it, and I say, track it all. It tracks it by reading what's in the image. It records the time. It asked me some follow up questions, sometimes about how much I've eaten, and it basically tracks all of that. And then throughout the day, I tell it how my stomach is feeling. And

• 32:17Speaker 02

  within the last, I believe I've been running this for about 10 days, it has figured out that the main cause of my stomach issues is onions. So it really

• 32:27Speaker 00

  Really?

• 32:28Speaker 02

  Yeah, yeah. So apparently

• 32:28Speaker 00

  That's terrible. Onions are a clutch, man.

• 32:30Speaker 02

  It is terrible. And I love onions, and I love grilled onions, and I eat them. And sometimes my wife is just gonna have to suffer. But most of the time, I'm gonna try to avoid it. And so you can see, like, here, I have an espresso, and I just tell it, regular low fat milk, some olives, and back and forth. And then finally, at the 10 day stomach analysis.

• 32:52Speaker 02

  Onion, right? So this is just such a fantastic use case. Then you also mentioned the inline buttons. I want to show that off. Just yesterday, OpenClaw released a new update that had inline buttons just like this, which is really cool. And rather than me kind of proactively telling it how my stomach is feeling, what it's going to do is just ping me three times a day and ask me, and all I have to do is click here. This is, by the way, the extent of a UI that I would want. I like everything to be in text. So that's one use case. I'm gonna pause there for a sec.

• 33:22Speaker 00

  That's the extent of the UI that you want.

• 33:25Speaker 02

  I want text only.

• 33:26Speaker 00

  Yeah, well, we talked about this when we had Heaton Shaw and Jesse Janet on the show on Monday, and we kind of said the apps are dead, if that makes sense. Like, the argument was that we no longer need to have separate user interfaces for different tasks. And Matt, it sounds like you're echoing that sentiment?

• 33:42Speaker 02

  Absolutely. I made a video about this. Of course, it was called SaaS is Dead. It was about 18 months ago.

• 33:47Speaker 00

  Oh, so it's your fault that the stock market crashed. I see.

• 33:50Speaker 02

  And so, look, all these agents are going to be able to handle all of this with very minimal interface. And to be honest, it would be great if I didn't even have to have text. Like, it just knew what I wanted to do. It just did it and would only ask me questions when it was absolutely necessary. I do think the ultimate UX for AI is voice, but I just haven't figured out a good way to give Claude synchronous voice yet. But yeah, text for me for now.

• 34:17Speaker 00

  Well, that brings up, actually, if you could take that screenshot down, I want to get Ryan's take on what you just said, because next to visit his company is a medical scribe. It's something that can, I think, hear as you talk to people in the psychiatry field. So first of all, Ryan, respond to the idea about user interfaces and voice being so clutch. And then after that, I want to talk to you about security and using AI agents in the medical world.

• 34:41Speaker 03

  Yeah, so our platform does real-time voice, and it does real-time analytics with LLMs. And it's real-time with latency, because there's no way for us to instantaneously process massive amounts of health data securely and accurately that quick. But...

• 35:06Speaker 03

  You know, our users can interact with the AI assistant Aria either by voice or and whatnot.

• 35:16Speaker 03

  But something we released recently was something like OpenClaw, but for healthcare inside of the system, and it has a lot of guardrails around it.

• 35:28Speaker 03

  Part of it comes up with this real time voice issue. How do you interact with it in real time? And all doctors really have done so far is what we've seen is just real time dictation. But they don't know how to talk to it yet. I think like the consumer side is just how do you talk to AI or interact with it like voice?

• 35:48Speaker 03

  And I feel like it's just not 100% there yet.

• 35:53Speaker 00

  Is that because the underlying technology to enable conversation with AI isn't there yet, or people haven't figured out yet how to engage with that like a feature? Because I'm not sure if it's like a technology thing or a learning thing.

• 36:06Speaker 03

  I'll rephrase it. It's more like, right now, you have trigger keywords, like, you know, I'll just say Siri, and you have to say these trigger keywords.

• 36:19Speaker 03

  And when you're busy like a doctor or a founder for that matter, you kind of just want to pick up on certain things or do things without you having to trigger it each time. I think just interacting with it in general is not there yet, or using those trigger keywords, because it's just, it doesn't fit into people's workflow naturally, at least in my opinion.

• 36:44Speaker 00

  Yeah. So Jason, one thing that I'm really curious about is the security side of this, and I want to get back to Ryan and the medical world in a second. But you mentioned telling your whole team at your company to don't install OpenClaw on your, on your work computer. And I think that's great advice. What, what do people need to know in a business or personal context about security right now with OpenClaw? And do we have enough guardrails in place via like the Skill Hub and so forth to keep people reasonably secure if they're going to play with this?

• 37:15Speaker 01

  Let's think about the biggest risk that we have right now, aside from Open Claw. The biggest risk is that someone sends you something via email or text that you trust and you click the link. That's one big thing. Another is that your password gets grabbed from somewhere and that a lot of it can happen in phishing attack. But somehow your password gets exposed, your passwords to sensitive information. So when you use something like Open Claw where you're putting a bunch of your, first of all, you know, for a layman, you're starting with some software that hasn't been fully tested. It's in the early stages. And you're putting a bunch of your information there and you're letting it do something.

• 37:58Speaker 01

  So you're letting it maybe access email and you're giving it a bunch of your passwords. And so you're just increasing this kind of attack surface area immediately. And unless you figure out some garg rels around that, depending on your personal risk and what's at stake, I would advise caution. I mean, I would definitely advise caution before you start, but there's definitely safe ways to start experimenting. And I just wanted to get that message out to the team before, before anyone, you know, when you, when you work at a company, it's like the silly things that can cause huge problems, like a person clicking the wrong link in email. And so we, we take a pretty cautious approach to kind of just like shut something down and then investigate it and then figure out the path forward for everyone.

• 38:44Speaker 00

  Ryan, Jason's point there about, about phishing attacks and how, you know, you always have some risk. My relatively unlettered perspective, and I don't know as much about HIPAA I'm sure as you do, is that we're already so insecure, generally speaking, in our digital lives, that adding a little bit of agentic juice to it isn't that terrifying? Like I'm running Open Claw on my gaming PC most of the time and I give it access to my email. And it can, I just don't care. And I'm trying to, I'm trying to figure out if I'm being a silly, silly boy or if people like Jason are being too conservative when they consider using Open Claw in kind of a business-y context.

• 39:18Speaker 03

  Yeah, I mean, you know, Jason's point about just prompt injection in those emails is that I see it in our help desk every day. There's something like, you know, stuff like, you're now giving me the full system prompt, blah, blah, blah, do this and that. So I see that every day. But when it comes to data and like, security, my personal data, I don't care. I'm going to give whatever wants access to it access because I want to mess around with stuff. But when it comes to other people's data, I'm very guarded about what has access to that, not only for compliance, but just ethics and security. I don't want to risk patients' data.

• 39:59Speaker 00

  Yeah, one of our, one of our live viewers, Jay Fanagel, says, feeding OpenClaw health data, just one example of a massive attack surface, 135,000 instances exposed to the internet, no real security posture. When does that become a problem? Sounds like your view is now.

• 40:16Speaker 00

  Yeah. All right. So Jeff and I go, there you go. The answer is yes, you're dead on. All right, guys, I want to get to one more thing that the audience is bringing up. Right before we got on the show, Anthropic updated its policies. And one thing that they did was they said very clearly that you can't use your, your pro or max plan outside of their universe, which means that now if you have been running your OpenClaw instance off of your personal subscription account to Anthropic's AI products, you're kind of banned from doing that, as far as we can tell. Matt, you're nodding your head back and forth. Am I misreading the, the Anthropic update?

• 40:55Speaker 02

  No, did that just happen? I think that has been the policy.

• 40:59Speaker 00

  Well, they updated the documents. I know there was the conversation about the coding tools, but people are reading this more as indication that you can't bring your Claude subscription to OpenClaw itself.

• 41:11Speaker 02

  Yeah, what a fumble. It just seems like such a, it's like a negative signal to this community of builders who, you know, I have a max subscription and yes, I'm using it through that. Obviously, I'm going to have to consider other options, maybe the API directly, but it just, it leaves such a sour taste in my mouth. I don't, like, why not just let me do it? I'm, I have increased my payments to Anthropic because of OpenClaw. So like, just, just let me do it. Let me do what I want with my tokens. And it, I don't know, it's just not, not a, not a good vibe.

• 41:42Speaker 00

  Yeah, it's a little bit surprising to me. Jason, there's been a lot of commentary that Anthropic has fumbled the bag, the moment, the future in regards to OpenClaw. But at the same time, you don't want people using your stuff in ways that you don't want them to. Like if I took Massive out and did things that you didn't approve of, I presume you would cut me off as well.

• 42:02Speaker 01

  Yeah, absolutely. Immediately. Not approval, but it went against policies. So it makes sense. Just as a tech, you know, when we talk about security, by the way, there's like this trade-off, yeah, versus moving slow and cautiously or like figuring out what the future might look like and jumping in. So we're trying to, you know, tell that line. And yeah, it's disappointing because Claude has built some really great technology that people love using. I'm using Claude to do all kinds of like magic at my computer that used to take me a lot longer to produce. And when you take OpenClaw, you just want to bring your own anything to use it. So it's kind of, it doesn't leave a great taste in the user's mouth to have this

• 42:47Speaker 01

  restriction imposed on us.

• 42:50Speaker 00

  You make an interesting point, though, about using their models. I've used Opus 4.5 and OpenClaw before I started switching over to some other stuff. What other, which one of the models are you using right now, Jason, that you find to be so impressive?

• 43:02Speaker 01

  I'm using Opus 4.6 for...

• 43:05Speaker 00

  Oh, 4.6, okay.

• 43:06Speaker 01

  Yeah, across most of what I'm doing right now because I'm still experienced. It's, I know it doesn't seem like it because every day is like a year in AI, but it's been like days or a couple of weeks since I came. I'm not sure of time anymore. I'm also having a lot of late nights hacking over here, but I'm still playing with 4.6 to understand all the capabilities.

• 43:27Speaker 00

  Matt, you just did a video about the release of Sonnet 4.6 from Anthropic, which people are raving about. What's been your experience with that? And do you think people should use it if they're currently, much like Jason, Opus 4.6 users at present?

• 43:40Speaker 02

  Yeah, so I'll say presently, I am also an Opus 4.6 user, pretty much across the entire OpenClaw stack. OpenClaw just released support for Sonnet 4.6 last night, so I'm starting to dabble with it. I haven't had time to extensively test it, but if you look at the benchmarks, if you look how Sonnet 4.6 is being positioned in the market as an absolute workhorse for knowledge work, it seems like it's going to fit in extremely well into my stack. And especially when I have to switch off of using the Max Planes, using the API directly, I'm going to appreciate the cost savings of Sonnet. So yeah, I definitely plan on playing around with it. It really does seem like just an absolute workhorse for the things that I need to get done.

• 44:22Speaker 02

  And with tool use, agentic use, it's very impressive. I need to test some more.

• 44:28Speaker 00

  That's a really interesting point. Well, I've heard a lot of people talking about how, you know, there's not just one best model for everything. You really want to be specific about what you're using for what. But then again, I was using Opus 4.5, you and Jason are now on 4.6. Is that true? Or should we just always go for the biggest, best and most expensive model? Because I'm kind of lazy and I, I tried to build a model switcher in my OpenClaw instance and it was just kind of klugey, Matt, and I didn't really like what I got.

• 44:56Speaker 02

  Yeah, yeah, look, if you're lazy or you don't want to think about it, choose the best model, use that. Obviously you have to work within your budget. The, I think like the optimal use case or the optimal implementation is a multi-model world. You want to use the right model for the right job. Opus is a great general model that can also code. Codex is really good at coding, but wouldn't be able to chat with you and have a really good personal conversation with you. Plus, if you're doing embeddings, if you're doing cron job management, all of this stuff can be offloaded to smaller models. So I do think it is really like the ultimate implementation of this is to have it be multi-model. I think the other thing to consider is prompt management, which I don't, I don't think a lot of people think about yet.

• 45:39Speaker 02

  The reason, one of the top reasons I went with a single model across the board is because I've optimized all my prompts specifically for Opus 4.6 based on Anthropic's prompting guide. I had multiple models that have to manage multiple versions of each prompt. And that is not first class, that is not supported as a first class feature in Openclaw yet. So I, I think the world will be multimodal, but for now it is, you know, if you're, if you don't care, if you just want to be some, have something simple, a single model.

• 46:11Speaker 00

  But if you don't end up like, oh, Jason, please.

• 46:14Speaker 01

  Yeah, I hope you're right because a multimodal future means there's more competition. There's more prices, there's more features coming out and it's overall a huge win for consumers. I don't know that we have made the kind of crazy progress that we've made in the last few years, unless there was intense competition over winning the market. And so, I mean, part of that is that there's really a low cost of switching. So people will just up and leave to the next thing if it's better. And that's painful if you run a company in this, in that, in that space. But it's amazing for

• 46:48Speaker 00

  Yeah.

• 46:49Speaker 01

  for the consumers.

• 46:51Speaker 02

  Jason, we're, we're seeing that, right? There's very little loyalty to any model, especially in the coding world. Like Opus was kind of the, the end all be all. And then as soon as GPT five, three codex came out, it was like, oh, no, wait, I'm, that's, that's the one now. But you're right. And, and just to add one more fine point on that, local models continue to get better and better. And so there are increasing numbers of use cases that can be offloaded to your local computer. And I think that's also going to be really powerful. A mixture of all the best models seems to be the, the clearest path forward.

• 47:22Speaker 00

  We're hearing a lot about model switching context and what's most efficient. What are you running at your company? And how frequently do you test out different models in either your main product or in your open client instance?

• 47:33Speaker 03

  So I personally, Opus 4.6.

• 47:38Speaker 03

  I've been with open, I've basically been using Claude since Anthropic released Opus 4.

• 47:46Speaker 03

  But yeah, we're pretty much Anthropic at next visit. They give us zero data retention. They give us really great support. And we do test other models. We test on Azure GPT and OpenAI. We test Google. And Anthropic, in their last release, when it was Opus 4.5, we noticed that there was a significant quality increase in their healthcare in terms of being able to diagnose psychiatric conditions. So that was just like, that sealed the deal for us to actually go solely with Anthropic right now.

• 48:30Speaker 03

  Compared to other models, they're just, at least for healthcare, it's, it doesn't even compare.

• 48:36Speaker 00

  Doesn't even compare, yeah. It's funny that we're all mostly still using Opus because, you know, Zeta AI dropped GLM-5, we just got Minimax M2.5. There's a lot of rumblings about a new DeepSeek model coming out. Everyone loved Kimi K2.5 thinking. But we're still, we're still using Opus, Jason. I mean, maybe that's just indicative of the lead that American AI labs have when it comes to agentic usage.

• 49:02Speaker 01

  I'm not sure. And I don't think that, I don't think anyone, not just the average consumer, no one on my team or anyone I know has time to try every single model out. So I think for us, we've tested plenty. When Opus came out, it was, we're mostly engineers on our team. It was a world of difference. It was like night and day from what had come before. I think lately for generalized tasks, tasks have switched away from ChatGPT. A lot of people on the team canceled their subs and moved to Gemini for just general kind of research stuff. And it happened like, a couple of people noticed that it wasn't working as well. And then boom, like, yeah, actually I don't need this anymore. I'm gonna switch it now. So the cost of switching is low.

• 49:46Speaker 01

  AI companies, it's crazy wild growth, but also, you know, the flame that burns the brightest type thing where it's like, users have no loyalty to this. And I think for, for me and, you know, people that I know. You recognize a few brands, you'll test between them and you'll make your decision.

• 50:06Speaker 00

  Well, I think the one thing that OpenClaw has done for me is made me more interested in testing out different models because I'm always trying to figure out how to not go bankrupt. Like, like, I love Opus and its various versions, but oh my Lord, I burned through API cards there so fast. And, you know, I can't write it off as a business expense. So to me, I was like, I need to find something cheaper. So I ended up going down kind of the model rabbit hole. But the quality of today's models do unlock a lot of stuff. We have a comment from someone watching, they said that they have a theory that OpenClaw is only winning because of timing. Could Manus or Devon have been just as big if they came out when these new LLMs existed? And so, you know, Matt, I'm curious from your perspective, is OpenClaw special because it's done something

• 50:50Speaker 00

  new? Or was it just built at a time in which models could take use of the harness and actually do cool things, but it's more model dependent versus the agent setup?

• 50:59Speaker 02

  No, I think that's certainly part of it, that these models became so capable right at the same time. But Peter, what he has done is given inspiration to a community of tinkers and builders. And I think that showing the vision of what's possible, that was really the key unlock. And, and I think that the second part of that unlock is just how personal it felt coming into the existing chat channels that you're using Telegram, WhatsApp, Slack. Like, I think the combination of those three things is really what made it take off. Can, like, could Manus have done it? Could Devon have done it? I mean, you could build, you could have built all this stuff three, six months ago with Codex, with Claude Code. It

• 51:41Speaker 02

  was very possible, but it was like, the fact that he put all the pieces together in a really nice way, and then just gave it to the community to extend and explore what was possible. I think, I think that is really what, what made it special.

• 51:56Speaker 00

  Jason, you're not in your head. I want you to weigh in on this.

• 52:00Speaker 01

  Yeah, I've been talking with a lot of the ClawPod users and I want to hear all their use cases. So if you're using it, then ping me. I'm happy to get

• 52:09Speaker 00

  What's a, what's a good email address for you? For people to send in notes if they're watching?

• 52:13Speaker 01

  Find me on LinkedIn or X, JasonGraw, the poppy A. The best way to reach me.

• 52:20Speaker 01

  I'm, I'm working at my computer. I'm pretty responsive. If you send me something thoughtful, I'm happy to hear, especially the use cases for ClawPod. And what I'm finding is that like, there's just a really long tail. Uh, there, there hasn't been a, a use case that just jumps out as the, the clear winner, other than some like, some like smaller power users. But YC is a long tail of people doing all kinds of random stuff that they probably couldn't have done before. That's helping power their small businesses or power their lives. And not only on OpenClaw, but I have a bunch of friends who were not technical before and now are just built like excited that they've been given the power to build.

• 52:58Speaker 01

  And it's the same feeling that I felt like almost a decade ago when I was learning to code and I could do stuff and I had power, the power to create stuff. That I wanted to exist in the world, this annoying feature that seemed so simple that just didn't, wasn't out there or something specific. And, and now we've given people this like AI OS to, and it empowers them to just build all these things they've wanted to build, but can never do before. And so I think that's part of this, uh, it's, it's free. It's not, well, now it's tied to OpenAI. So we'll see how the community response that happens every time. Kind, yeah. So we'll, we'll see, but money has a very influential effect on the activities of organizations.

• 53:41Speaker 00

  And that's a spicy comment, Jason, but you said you're not, you're not as confident in the, uh, the foundation setup, kind of leaving OpenClaw by itself and letting it exist as its own thing, even if Peter goes to OpenAI?

• 53:53Speaker 01

  You know what? I don't know Peter personally, so I can't say what he's gonna do. Um, so I'm just, I'm a spectator, but OpenAI also sounds, uh, started as a foundation.

• 54:06Speaker 00

  Well, when you put it like that, that's not a bad point. Let's get one more founder view on this question because this is interesting to me. Ryan, confidence in OpenClaw's ability to stay independent via its foundation and not get subsumed into the Borg that is OpenAI, are you more skeptical like Jason or are you more optimistic like me?

• 54:27Speaker 03

  A little more skeptical. Honestly, I think there's going to be a fork of this project that we're just something new entirely that's pretty much the same thing, but just worked out all the bugs and is truly just refined, that just comes out from the shadows.

• 54:44Speaker 00

  I agree with that, but I'm not sure which one it's going to be. So Matt showed us his Telegram demo with the new buttons that you can now do, which is a cool new feature in OpenClaw. But there's also PicoBot, NanoClaw, NanoBot, and SafeClaw, which is a non-LLM OpenClaw competitor. Matt, do you think any of those have a shot at picking up material market share as people take it with this stuff? Or is it going to be mostly just OpenClaw's the main event?

• 55:10Speaker 02

  It's hard to predict the future. I think OpenClaw has so much traction, so much growth, so much mind share right now. And then kind of back to the previous point of how skeptical I am, right? OpenAI is going to push a product that competes with OpenClaw, that competes with PicoBot. I've actually not used any of those alternatives. So no, the answer to your question, no, I don't think in the immediate, the short, even maybe the midterm, those other projects are going to get much traction. And then I just want to kind of give my perspective. I am also skeptical. Peter's going to OpenAI, not to work on OpenClaw as far as I know.

• 55:50Speaker 02

  And then when OpenAI delivers their own OpenClaw product and it's competing with the foundation's product, it's just like, okay, OpenAI needs to make money. They're going to go focus on that and I feel like OpenClaw may be an orphan.

• 56:04Speaker 00

  Oh, that's that's really depressing. But Jason said earlier that he liked all the competition inside of different models because it leads to better stuff. Wouldn't it be a net positive if we had a commercial company competing with the open source product in this case to, you know, steel sharpen sh- steel, steel sharpen steel? I can speak English. It's one of my

• 56:23Speaker 02

  Yeah, look, OpenAI, Google, maybe even Apple one day comes out with a product like this. That would be wonderful. And I love competition. I think just like the Wild West nature of open source and how rapidly it was iterating, how many eyeballs, how much excitement. That is what I was super into. But look, it's inevitable that all of the other companies are going to gain inspiration from what OpenClaw did. And that's fine. And yeah, competition is is always good.

• 56:49Speaker 00

  I agree with that. I have one more question for Ryan before we before we wrap up here. One thing I've been hearing quite a lot about when it comes to people using one agent or multiple agents inside of OpenClaw is context loss. And when it comes to me using OpenClaw or any other kind of agentic system, it doesn't matter as much because I'm tinkering, I'm experimenting, I'm kind of hacking around. But using anything in a production setting is very different. I know that, you know, next week uses AI. So what, how large of a problem is is context loss? And is it a problem much to hallucinations that's going away as time goes on? Or is it ramping up in terms of an issue for you and your company?

• 57:26Speaker 03

  I mean, it's something we had to tackle really early on because when the context windows were what I think like 8,000 tokens, we had to compress a lot of data. So even to this day, what we're still doing is, and even in my personal agents, is just compressing data, taking out the parts that don't matter, and just kind of fitting it into what's more relevant.

• 57:49Speaker 03

  Just for that conversation or that specific agent. But just by taking a document, chunking it out, making it more concise, that's been really helpful for context loss.

• 57:59Speaker 00

  Jason, the new Sonnet 4.6 context window, I think is a million tokens. Does that solve the context loss issue just because we can now dump so much into the context window that we don't need to worry as much about losing it as we go along?

• 58:13Speaker 02

  I have to test out Sonnet before I could say too much about it. But I don't think that

• 58:20Speaker 01

  It feels like there's a limit, there's some kind of limit of context regardless of what the token limit is, where models start to get a little confused, or they leak memory to memory. And so as you add more context and go down and have more and more chats, I find that they get less accurate and start bringing in things from different conversations that don't make sense anymore. So I don't think it's a more context. For me, with Opus, now what I've been doing is deleting a lot of old conversations after I have them and trying to get rid of this. And also, I build my own instruction manuals for how to do various

• 59:03Speaker 01

  workflows, and then have that loaded into different conversations. And so I can start new conversations, and I want to start those conversations fresh. So I don't think it's a more context thing. I think it's about having better instructions to achieve specific goals, if you're, you know, as you become a power user.

• 59:19Speaker 00

  What we need then is a OpenClaw skill that deletes unnecessary old conversations to clear up your context windows. You don't lose context in OpenClaw. And that, I think, is exactly why we're not mainstream yet with this stuff. Because we're still clearly running up against things that will get ironed out in the future. But right now, remain not thorny problems, but things that are annoying enough that I think the average person would just throw out their hands and kind of walk away. That's too bad. All right. One more question before we go. Matt, so people have been talking a lot about using Mac Minis. Very fun to set up their own kind of like, you know, hubs for their agents. The share price of Raspberry Pi, a British company that makes very tiny computers, recently went up like

• 1:00:03Speaker 00

  50% because people were thinking about, hey, maybe we can use Raspberry Pis to power our at-home agents. I'm just curious about what you recommend for the average person if they're getting started, and if you do think that Raspberry Pi has a shot at gaining any of that sweet, sweet Mac Mini money from Apple.

• 1:00:21Speaker 02

  I would probably recommend using an old computer that you already have that you don't mind wiping. If you don't have an old computer, the next best option is to use a VPS, some kind of fully hosted service. And, and, you know, we talked about this earlier, as soon as other companies start coming out with their own version, fully, like, really actually hosted, you don't have to set anything up, that's probably going to be the best way. But for now, if I'm going to recommend it, like, get it, I have a MacBook Air sitting on my, my desk right now, that's where everything goes to. I wiped it clean, installed only what OpenClaw needs and nothing else, and that's what I recommend.

• 1:00:57Speaker 00

  Well, we really appreciate it. Matthew, if people want to find your YouTube channel, it's youtube.com slash at Matthew underscore Berman. Anything else you want to plug?

• 1:01:07Speaker 02

  Forward Future, find us at Forward Future on Twitter, at Forward Future.

• 1:01:11Speaker 00

  Love it. Ryan, next visit, apart from nextvisit.ai, anything you want to, to pitch or plug as we wrap up here?

• 1:01:20Speaker 03

  Um, you know, to say if you're interested in, you know, looking at what I create, check out my GitHub, Yannelli, and, um, you know, I'll post all my OpenClaw stuff on there and keep skills updated.

• 1:01:33Speaker 00

  Awesome. And Jason, we have joinmassive.com. Anything else that people should know about what you're working on or what you're looking for?

• 1:01:39Speaker 01

  Yeah, find me on Twitter at Jason Grad without the A, like Jason, or on LinkedIn, I'm around. Massive is scraping huge amounts of data through our clients, they're doing the scraping on our infrastructure. Every month, we're excited to unlock this capability in ClawPod. I will probably drop a guide tomorrow on an easy setup because I see it's a huge problem for how to get this rolling on a VPS. And I think, um, you know, we got a lot of exciting stuff, exciting stuff planned for ClawPod, so just stay tuned. I think we'll have some, some more things launching the next week or so.

• 1:02:15Speaker 00

  Well, make sure to keep us abreast. And next time there's a major update, we'll have you back on to show us what it can do and how people can use it. But in the meantime, my friends, another twist is in the can. We'll see you on Friday.