A (4:41)

Yeah, we're going to talk about openclaw site, what's called visionclaw. A great way people are taking openclaw into the real world. We're going to talk just a little bit about a couple of products that are in the openclaw universe, avatars and companions, people taking this product away from a business context, more into their personal lives. We're going to talk about secured skills and what OpenClaw announced over the weekend. That's going to help you stay secure in your openclaw usage. And then the rise of perhaps single person multi agent companies. Jason, we have two examples we're going to talk through. But first I think it's time for a video demo of what happens when you take Meta's raybound glasses, the smart glasses, and sync them up to your AI. It's pretty cool. All right, we're going to bring Alex Fenn. He is the founder of Creator Buddy and a well known AI tinkerer. I call him Mr. Claude Bot himself. Alex, welcome back to the show.

B (5:25)

Good to be here, guys. Good to see you. Jason. Alex, happy to be here.

C (5:28)

Okay. And you have gone down the rabbit hole. You are too cloth held.

B (5:32)

Yeah, I am as cloth pilled as it gets. I've spent about $20,000 on hardware over the last couple of weeks in order to give my clawed as much power as humanly possible. I'm all the way in. I don't sleep. I've slept like six hours in the last week.

C (5:47)

It is that exciting. And why is it exciting to you? And then we'll get to our first news story. Why is it exciting to you?

B (5:52)

Because I think it is first of all the best application of AI of all time. It's the most useful application, I think up to this point. Chat GPT has just basically been a glorified search engine. You ask the question, you get an answer, it gives you answers a little bit more efficiently than going to google.com. right. Instead of having to go through links, you just get the answer. It's a more efficient Google. This is the first time, I think that we have an application of AI that actually matches the vision of what humanity thought artificial intelligence would be. In all the sci fi books and movies leading up to say, and I think it's the first realization of that vision and I just, I can't stop thinking about it.

C (6:33)

And that vision for Open Claw is that the agent we call them replicants will go out in the world and do things that are productive for you. Not just give you information, but go do tasks. So, Alex, show us our first story and let's talk about it. Yeah.

A (6:50)

All right, so first up here is a video demo of Vision Claw. This is about 30 seconds everyone.

C (6:56)

Enjoy. Hey Clubbot, can you help me add this into my.

A (6:59)

He's Looking at a can of Monster through his glasses.

C (7:02)

Sure, I can help with that.

D (7:04)

I see the Monster Ultra Strawberry Dreams energy drink.

C (7:07)

I'll look that up to add to your Amazon cart.

A (7:09)

And then on the screen it's going to Amazon, going through a search, clicking on it, it's going to add it to cart for him and then respond.

C (7:17)

It'S added to your cart. Is there anything else I can help with?

D (7:20)

Cool, thank you.

A (7:21)

So this to me, guys, is taking AI Cloudbot outside of just the digital world and bringing it into our physical world. I can imagine a lot of ideas and use cases for this. Clearly still a demo. You can play with it. But Alex, first thoughts?

B (7:35)

Yeah, my first thoughts are I don't find that remotely interesting, just to be quite honest with you. I just like, to me, my life is not improved by an AI going and buying me monster energy drinks off Amazon. I don't think that has any sort of economic impact on this planet. What interests me is this going and empowering individuals to accomplish what only large corporations could do before. Right. That's the interesting thing to me. And that's kind of a vision I've been building towards with all my products.

A (8:06)

Well, economically useful. I mean, people do a lot of shopping. Companies need to buy a lot of stuff. And I was thinking more about companies that are outside of just the technology realm, might have a use for this, just to keep their offices stocked, handle warehouses. Like I was thinking about bringing the power of agentic AI into the physical workspace. This example is a little bit kitschy, a little bit funny, but it's a, it's a demo. But I could see this showing up in warehouses and factories and so forth.

C (8:30)

That's, I think, a good point to balance out the two perspectives. This is a proof of concept. He's got the Ray Bans hooked up to open claw. That's kind of what he's showing. But if you imagine opening up your refrigerator and then opening up your spice rack, opening up your cabinets and saying, open cloth. What? Make me three recipes, you know, for the next two days, put it in a Google Doc and then go build a cart for me of the ingredients. I don't have to make those recipes. And if I approve of the recipe, then I want you to actually have it delivered for tonight, you know, via, you know, Uber groceries or something. So you could see this getting a little more interesting. Or in your example, Alex, the person who's working at, you know, 7 11, just walking through the store, looking at the items and then it making a decision as to what's the inventory. And I was actually working. I was skiing with my friend Michael diamond, who did a really interesting company skip hop. And he's got a new company he's doing with dog food and I think dog accessories. Anyway, he was talking about inventory management. Alex. And I was saying, Alex Finn. And I was saying to him, you know, all this stuff you're doing of like trying to figure out what your sales are on Amazon, what your sales are directly, and what you inventory you need. He was like, looking for software, and I was like, you don't need Software, you need OpenClaw. Just have it pull all that data in, build you software, and then it can do the ordering for you and tell you which things and do forecasting, et cetera. So, yeah, I think this is like a proof of concept more than an actual application. Alex, your thoughts.

B (10:07)

What excites me and what I try to think about is, is like, I think we will hit a time in the very short future where openclaw reaches the corporation level. Right now, I think it's tinkerers, hobbyists, tech enthusiasts like you guys that have discovered this, that have seen the magic. I think there'll be a time in the next six to 12 months where this will actually reach the sea level. This will reach the businesses and the corporate, because it hasn't reached there yet. There's too many risks, there's too many security issues. And I'm scared that when that does happen, it will lead to layoffs and job losses. And so what I've been trying to kind of tackle with everything I've been doing the last couple weeks and what I'm doing with all the hardware is like, how can we figure out workflows that counteract that counterbalance that where solopreneurs like me, people working by themselves who don't have a job, can create large economic impact. Right? Have basically entire companies of AI employees working for them. I'm excited to say, hey, get me all the materials for grilled chicken so I can make dinner tonight. But what I'm really excited for is how do we empower the people that I think, and I don't want to Fear Monger might be losing their job over the next year because this technology hitting the corporation level and give them the ability to bounce back and create economic value for themselves.

A (11:23)

Can I double click on that, Alex? Because it's a really interesting point because it's almost like you're framing this as a defensive mechanism for people in the labor force. As AI reaches the C Suite. To me, though, if we give corporations increasingly powerful tools, I don't see where individuals will fit into that economic picture and have impact if we're granting already powerful organizations even more capacity, capability, and fluidity. So just tell me more about how you think about that.

B (11:48)

I'll give you an example.

C (11:49)

Right.

B (11:50)

The way I think about it is I can do many more things at once. So one example, there's this big controversy over the last year, Call of Duty, the most popular video game in the world. They fired basically their entire artist team. All the artists were fired. And they used AI to create the art for Call of Duty. Like all the banners and stuff is now built by AI. And all these artists lost their job and understandably got very upset. And they're going around, AI is the worst technology ever. AI is horrible. But, and this is the framing most people in the world have is, oh, my God, AI is taking jobs. This is the devil. Here's the way I'm trying to change the framing, though, is look at what I'm able to do with this technology. I'm able to build a business and have people work for me. So you, the Call of Duty artists, can now go, and instead of creating art for Call of Duty, you can build your own video games. You build your own Call of Duty. For me, I'm building my own content company with all these tools, with all these AI agents that work for me. This is the framing we need, is to show people, hey, you can create economic opportunity for yourself even when the corporations are taking away your opportunity.

C (12:54)

Now, if you are a young person who is having a hard time finding a job, or you are an older millennial or Gen Xer who has lost their job, you were a middle manager, you were a customer support rep, you were an SDR sales development rep, and you've lost your job. You will have a new job within 30 days. If you spend the next 10 days obsessing over Open Claw and setting up an instance. Go back to whoever laid you off and say, I know you laid me off. Here's Open Claw. Here's my old job. Here's how I've automated it. Let me take you through a step by step. I want to come back and I would like a 20% raise. I was making 150 working at Amazon. I now would like to make $180,000. And if you hire me back, I can do more automations just like this one. And if you don't, that's fine. I've got four other job offers. And if you're coming out of school and you can't find a job and it doesn't matter what degree you have if you dropped out of school, just set up Open Claw, authenticate it with a bunch of bogus accounts and then look at any other business you can think of where you've been exposed to and make new products and services. And then just email the CEO and say, I do Open Claw. Here's what I've built. I think I could make, I could make everybody in your organization 10% more effective every month. If that person emailed me right now, I would hire them on the spot. Instead, I've got three people in the organization out of 20, maybe four, who have embraced this and know how to use it. They are in week two. Alex Finn. Those people are now seven times, ten times more valuable to me. Seven to ten times more valuable in week two. For startups, every single hire matters. But posting an ad and sorting through all the applications oi it can be a huge drain on your time and resources. I know it. But thankfully, there's LinkedIn Hiring Pro. That's right. Our friends at LinkedIn are going to help you hire with confidence faster than ever before. For example, we're hiring new editors here for the POD and reviewing all these reels and applications. This can get overwhelming very quickly. We know what we're looking for. It's just a matter of tracking them down. Hiring Pro streamlines the entire process, helping us quickly draft a perfect job post, then using AI to to shortlist candidates and even conduct initial interviews so we can zero in on the best overall applications right away. Nearly 60% of companies find a quality candidate within their first week. So hire right the first time and get a hundred dollars off your first job posting by going to LinkedIn.com twist. Terms and conditions apply. Joining us is Matt van horn, old web2o head. He's got the best skill in the skill store called last 30 days. We're using it and he's got a new version of it. Matt, welcome back to the program. You were here last Monday or two Mondays ago. Can't even remember. In Clawbot years. In Open Claw years, that's a decade. Two weeks equals a decade. So you heard us talking here and just chewing the fat. How do you think about employment post Open Claw?

D (16:05)

Yeah, I love it. I'm lucky. I have a new startup that we're not talking about yet and so I'm fresh on the employment front, which is exciting. So I get to live in a world where we've had 45 and 46 of Opus and we have Openclaw and it's exciting. It's an amazing time to be.

C (16:24)

You're starting a company since we last talked. You're incorporating a company.

D (16:28)

You didn't ask me that question last time. But anyway, there's something brewing. Nothing to talk about today, but I'm just to answer your question directly, I am very happy that I do not have a lot of legacy in my organization that I get to think fresh as of. I'll call it back in the day. Last 30 days. Sorry for the common theme back in December when Claude code got really, really good. And now that we have OpenCloud, I feel very lucky, honored and fortunate.

C (16:54)

I am in. Tell me where to write the check. Tell me the entity name. I'm literally going to tell you right now. If it's a reasonable valuation, keep it reasonable. JCAL can add some value. I will literally write 100 250k check based on what you've done with last 30 days. Just. I'm in. I'm in. I want to be the first investor. Do you have any investors?

D (17:16)

I have investors. We could talk offline. I appreciate your confidence.

B (17:21)

You're.

D (17:21)

You're awesome. Thank you, Jake.

C (17:22)

I have a couple of podcasts. Some, I mean I might be able to wear less than 30 days on the all in podcast across my chest for here. All right, next story. Alex, let's keep this train moving here.

A (17:33)

Next up is actually be a demo from Alex Fenn. He's gonna show us a how to explain this. Alex, Jason, do you remember back in Covid when everyone was home and suddenly people were making essentially video games for your company? You had a little avatar, you walked around and you talk and then those all went away. Well, Alex was over on basically openclaw doing something rather similar and he promised to show us what it looks like. So Alex, talk us through how you visualize your OpenClaw setup and why you chose this particular visualization.

B (17:59)

Yeah, so my vision for the future of a is everyone having their own personal local intelligence working for them 24. 7. And the reason why I do not believe this includes cloud AI is having that run 24. 7 just illogical. You're paying for every token that goes to the cloud. It's also not private insecure. And so to me, having an AI that works 24.7cloud doesn't make sense. And when you can have an AI that works 24. 7, 365 for you, you can unlock way more use cases, you can get way more done and you can be way more productive as a single individual. And so for me, what I'm trying to build is an autonomous, personal, private organization I like to call Alex Finn Global Enterprises that is constantly working for me, constantly building and constantly pushing my business forward. I have a SaaS I built by myself with AI called Creator Buddy, which is AI Social Tools. I create tons of content. I have a YouTube channel with 100k subscribers. I have a lot of kind of coals in the fire. And this autonomous organization I'm building which is running right now on a Mac studio. So I have a 512 gigabyte Mac Studio on my desk right now, I have a Mac Mini on my desk and I have another one of these coming in the next week. So I have two 512Mac studios which will give me about a terabyte of memory to run. Local models is constantly working for me. And what you can see here is my AI agents which some of them are local, some of them are cloud based. The higher up managers, the strategic advisors are cloud based because they don't have to do all the work. And then the lower level agents, the ones that are actually doing work 247 are all local on my computer running on GLM for 7. And what you can see here is many things are going on so they're constantly working, but will happen throughout the day. I set up this demo mode so I can show this to you in real time. Will happen through the day is many things. They can decide to meet up and group up at a meeting around the table and and right now they're all talking to each other and discussing the business. They're checking my social media posts, they're seeing how my tweets are performing, how my videos are performing and what they're doing is they're discussing what works and what isn't. The social media managers are taking a look at engagement. They're going, oh, that's interesting. That tweet performed well and that one didn't. They all have their own individual memory files so the things they discuss and learn from each other get saved to their memory and they're all self improving autonomously over time and they can even build relationships with each other so they can even meet at the water cooler, have off topic discussions and some of the relationships will improve and they'll like each other more and some of the relationships will get worse and they'll dislike each other more and all of this is happening autonomously over time. And what's great about this is I can go Back at any time, go into my office space, review their conversations. And they actually even get action items automatically created based on their conversations. Where they will go, you can see, create a shared content calendar. So they're going to actually create tooling for each other where they have a shared content calendar. They're going to build their own analytics tools. I didn't read any of this. This is all them talking, coming up with these action items and even getting insights. And you can see how the relationships change over time with each other. And so this is what I've been building over the last couple of weeks is basically an autonomous organization that 24, 7 can be making me productive.

C (21:24)

And so just to recap your Alex, you have this nice visualization. Looks like a, you know, eight bit arcade game or something like Donkey Kong from back in the day. But it visualizes multiple replicants, multiple agents. One of those does your social media analysis. And then another one might be a manager who coordinates the. Oh yeah, I see you have a chief of staff, you have yourself, you have a research team, a content team, an engineering team and a creative team. You have gave them the mission. You've organized all this. And you've taken the approach of one agent, one job function. You're paralleling the metaphor we have in the real world. Why do it that way? As opposed to having Ultron, which we talked about on this show, we're building one that we want to have complete every skill of everybody in the organization. Why have a super friends? Why have an X Men as opposed to an Ultron?

B (22:19)

Same reason Elon's making humanoid robots rather than one robot that, you know, that doesn't look human, could do many things. This is the way the world is built already. The world is built for this type of organization. And if we can take our superpowers, which is AI, intelligence, all that, and fill it in that framework, our brains already work that way, already understand how business works that way. I'm just automating that. And right now I'm outsourcing most of this work. Right, Claude Opus Codex 5.2. I'm outsourcing it to the cloud, but I hope to make all this in house. Right? GLM 4.7 local. That's in house. Talent. That's in house. Intelligence. I want to make all this in house. Eventually, the more hardware I can get. So this is just a way of thinking that everyone understands and the people I bring in will understand it because that's kind of the way the business world has been set up to this point.

C (23:11)

I Think this is really brilliant. And we took a similar approach. We created a agent that is doing production, but we also had IT work with the sales team. One of the things I had an Athena assistant doing, so I'm having my Athena assistants do higher level work now, was a repetitive task of going and looking at other podcasts, seeing who their advertisers were then, which we can find in different ways. You can look at YouTube descriptions, you can look at different databases of podcasts. So many different ways to get that information. But then we hooked it up to our pipedrive and we said find that customer in pipedrive, find out the last contact date. And then we have three ads, we have four people on the ad sales team. We said, who has Claude, who has ZipRecruiter, who has LinkedIn, who has Every, who has Polymarket, who has all these different people and when's the last contact date? And we added it. And obviously producer Oliver is here. He's a human. Producer Oliver is a human. He created our replicant doing that. We're trying to give the agents cross functionality, but we are also making multiple agents.

A (24:18)

I was really curious if Alex Fenn's gonna productize what he just showed us because I feel like I would love to take what he has built here and apply it in my own local setting, but I also don't have, respectfully the amount of time he's put into it. So is this software? You were just showing us something that I can eventually use myself?

B (24:33)

I mean, that would be nice. What the end game of this is is not totally planned out. I'm gonna be honest. Right now all about is how could I make this as impactful as humanly possible. I think if I think about the business side too much right now, it'll distract from what the goal is. But if I can make this as useful as transferable, as simple and cheap to set up as humanly possible, then I think the options are unlimited. Whether that's turning it into a service and where I just go around setting this up for people or just productizing it and saying sign up, it's such.

C (25:02)

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D (26:30)

I think it's all coming together so quickly. It's so exciting. So something that just came out, I don't know if you saw this, Jason. Gary Tan tweeted about it yesterday. So what strong DM is doing? Have you heard what they're up to?

C (26:42)

Tell us.

D (26:42)

All right, so here I can just share my screen and I can load the tweet if that's helpful. Shout out to Dan Shapiro, founder of glowforge, one of my favorite entrepreneurs who, who turned me on to this. He said what a powerful idea. We build a software factory development where spec scenarios drive ages. The right code run, harness, converge without human review. And I think the most important thing is this right here in rule form. Code must not be written by humans. Code must not be reviewed by humans, period. Right. So like this crazy concept, so strong. DM made an awesome blog post. You should go go over it, check it out. But what the basic idea here is a lights out factory. And then here's, here's Dan Shapiro's Killroy project, which I've been.

C (27:25)

If you don't know what a lights up this morning, it's a fully automated factory where there's no humans. And the concept is if you turn, you don't need to have the lights on because there's no humans in there. That's lights out. So this is lights out startup. No humans touch the code as the instruction given to the agents.

D (27:42)

Yeah, so. So what's interesting is so my last company, we literally manufactured ovens. Right. And so I would Go to the factory. And there my, my lines were only making tens of thousands of Jude ovens. So literally there'd be humans putting things together. It felt very old school. And then I saw the crazy like millions of toaster oven line right next to me and literally the lights were out. And I said to the owner of the factory, how do I get one of those? And he's like, well, you're not selling enough ovens, right? And so it's, it's where it's worth the engineering investors anyway, with the cost of tokens becoming so, so cheap, right, that the amount, like the amount of computers that Alex is buying on a feels like daily basis and running cheaper models and more expensive models, right, that this idea that you can run a lights out factory for your software development is crazy. So I'm working on a project right now for myself. And so literally this morning I said, okay, take Dan Shapiro's code and learn how this project works. It's like, okay, I now know kung fu. I now know how Dan Shapiro's lights out factory project works with strong DMs influence. Okay, great. Now look at my code base for this product I'm working on. Okay, great. Now it just needs a feature list. And I'm like, okay, well you're expert in my project. Go propose 20 features. So I used the compound engineering cloud code skill and I said, okay, please propose the next 20 features that you think I'd probably like. And it made this 15 page document. I was like, honestly it looks pretty good. I don't really have any feedback. Go. And then I was at. So literally so I had my laptop in my car, right? So I've got, took that to the gym, then was at the gym, had the laptop out and made sure to plug it in. My battery maintenance is a disaster lately. My laptop lasts one hour running cloud code. Now I have one of the latest machines, right? So I plug it in at the gym and literally the session was just going for two hours. It was the longest session I'd ever seen in Claude code. And it's building my features. Literally just gave it the GitHub of what Dan Shapiro made and it's running right now. And what does it look like? I don't know. Ask me, ask me in one week. But like this idea is blowing my mind. Like what Alex is working on, what Danishpreer is working, what strong DM has actually built and shipped. Like this is crazy.

C (29:54)

It feels to me like we are crossing into a new era. Matt, you and I live through a Couple of these together. Broadband, mobile, cloud, et cetera. Alex, you had a question and then Oliver, I'll swing it to you.

A (30:07)

Yeah, I wanted to talk about the local models versus the cloud based models using OPUS or whatever, because it does seem to me that what we're describing only really works for the average person or the average developer if they don't spend $100,000 on inference. And so, Matt, I'm curious, you mentioned using cloud code to do all this work, whereas Alex Phin was talking about using a lot of local models. GLM 4.7, for example. How do you balance out when you're using local models versus cloud based models? And how good are the open models today compared to the state of the art offerings from Anthropic and OpenAI?

D (30:36)

Yeah, so I think it depends on kind of hobbyist first venture backed, Right? I think if you're a venture backed company, you want to spend as much money on tokens as you possibly can. Right. I was talking to a friend who's an engineer at Meta yesterday and he said there's a leaderboard for who's spending the most tokens as like a badge of honor inside Meta.

C (30:58)

It's like, who's burning the most jet fuel is going to get to space faster. Of course that sounds crazy, but we watched companies like Uber and Airbnb and Robinhood spend money. They burnt money. In this case, it's tokens in order to achieve increasing goals. It doesn't mean you want to do it stupidly though. Of course.

D (31:16)

Yes. And so I think there's intelligence around it. Right. And so like again, I was just texting with Dan Shapiro. He's like, I'm in the process of adding Kim Ek 2.5 and Z A GLM 4.7 to Kilroy. Right. Because again, there's going to be a lot of hobbyists that are running these projects, but from a venture backed perspective, like, I want to spend all the tokens. Like I want my, my software engineers to be like, sorry, I hit my $200 Claude plan. What do I do next? Do I switch to Codex or until I fill that one up, or do I just spend all the tokens? And my answer is spend all the tokens.

C (31:53)

With tools like Vibe Coding and now Open Claw, it's easier than ever for you to create an exciting new product and to do it fast. So more companies are getting built, which is awesome. But there's more to starting a company than just building an MVP or Vibe coding, something that's important too. But if you're serious about growing a real startup, you need a Delaware C corp and that's going to give you a major competitive advantage. People will take you seriously, you'll be able to raise money and that's where Northwest Registered Agent comes in. They're going to give your new business a real identity. This means an address to use on your public filings, like an actual mailing address, a domain name, a custom website, a business email, a phone number. And they're going to do that in 10 clicks. I'm not kidding. 10 clicks, well under 10 minutes. Plus NWRA will provide you with step by step guides, compliance reminders, and they're going to help you get all the advantages of a Delaware C corp regardless of where in the US you're operating at of. So get more. When you start your business with Northwest registered agent, visit northwestregisteredagent.com/ and the link is in the show notes. Visit northwestregisteredagent.com/for more details. Oliver, you also set up a trifecta and Oliver Corzin is here. Oliver, you also set up a couple of tiers of cloud based token usage and LLMs. Yes.

E (33:13)

Yeah. So over the weekend I just made sure that we were running, you know, right now we so far have Kimmy, Google, Gemini and Claude connected.

C (33:21)

What did you do in terms of creating an LLM council for our internal replicants at launch?

E (33:26)

This is really a tool for us to use and I did get this idea from Perplexity which recently launched their model Council which right when I saw this I was basically like we can just make this easily ourselves. And one thing that's interesting about the different models is they're all better at certain things. So Google has access to YouTube and Claude seems to not really have up to date information. So if you go into Claude and ask it, hey, what's openclaw? It actually doesn't know it. It will start, at least from my experience. It will say I don't know what that is. Is it? Does it? Is it this random thing? So kind of putting a few different models into one dashboard. On the dashboard that we built out for our Open Claw bot, we have created a new section which is a model console based on the Perplexity feature. And basically what this does is it aggregates three different models. So at the moment I'm using two anthropic models, Opus and Sonnet, but we'll move to using three completely different models from the different providers. And basically what this does is you can ask it a question. It will Take the answers of three different models.

C (34:37)

Okay, so you asked the question, find me 200 to 500 capacity venues for launch festival in Austin with speakers and guests. You asked all models. You click the ask all models. And then we see in the first model, Claude Opus 4.6. If we click Expand response, we can see the response from Claude Opus. Then if we go to Gemini, we can see it's response. And then finally, if you do Sonnet, which is the cheaper version, now we've got three different models giving us three different answers. And if we scroll down, the model council will combine those three answers and it gives us conference and hotel venues, the line, Austin, Fairmount, Austin. And theoretically, this is a better answer than just going to any one. Correct, Oliver?

E (35:24)

Exactly. And as I mentioned before, they all are better at certain tasks, certain questions. So this is just a feature that you're able to create and this is just showing that kind of, I was just confused kind of why Perplexity would launch that. It felt like more of a feature that could easily be replaced by Open Call.

C (35:42)

Well, Perplexity wants to give great answers. That's their goal, is to just give great answers and make their product better. So hitting three different ones makes a better response. It also, to Matt Van Horn's point burn, all the tokens get better answers. But what I would like to see here is a Kimi instance and I would like it to rank. What I want the model council to do is to rank the answers and to say which one did a better job. So there should be an LLM sitting above this kind of grading them, I think, as to which one was the better answer and putting it together. And then if we have this running locally. Alex Finn, I see you salivating here. You're like, oh my God, this could be big.

D (36:23)

Yeah.

C (36:23)

Alex, are you doing this or you just think this is interesting?

B (36:26)

I think it's interesting. And I'm also in the process of doing this. So I'm slowly implementing as many local models as I can to replace as many of these workflows as I can. And I'm going to be honest, like Cloud Opus 4.6, it's better than any local model. There's no local model that's there yet. There are models that are close. Kimik 2.5 is almost opus level intelligence. But I think the way we're trending is in the next 12 months or so we will have models that are just about as good and there with Opus, and you'll be able to replace all of these workflows. With local models. And I think that's incredibly interesting when we can have our own private intelligence with its own private data running locally on our computer. I think that's really when we're starting to hit the end game of all this.

C (37:11)

Matt Van Horn that to me is like. And we had the founder of Exolabs. I don't know if you know, is it Exo Exo Labs. We had the founder on Friday, Alex, and they let you. Daisy chain is the term I'm using. But you could stack multiple Mac Studios, Mac Minis, whatever, and get additional capacity to obviously make really interesting, you know, clusters, I guess would be the way to say it. And his thought was it's most important for you to control your data and not give it to the other language models, not train them on what you're doing. And so for some combination of proprietary innovation, privacy, et cetera. Now there's also this idea that you could have 95% less cost. But I saw somebody over the weekend, Matt, who has their orchestration level, their chief of staff, their CEO in the cloud, their Ultron using the best model they determine that's Claude 4.6. I think there's some consensus around that for reasoning. But then giving the line workers their assignments and their strategy and letting them use Kimi. What are your thoughts on that, Matt?

D (38:15)

I personally have not tugged into Kimmy. I have not. I understand from a local perspective its value from a. I'm. I'm not interested in running it locally yet because I'm happy to spend the tokens right now. But I what I, what I do find and I think Peter Steinberger has done a really good job. The founder of OpenClaw is and like people say he's making fun of, of Claude in a way. He's like I do not write code in Claude. Like he said that many, many times. Right. But he says his favorite model for running Open Claw, he's like I only use Codex. Right? And so, so what? What's interesting is so what, what. So to bring it back to just the, the, the strong DM thing that, that I'm running right now that's running different things. So I, I write have a Codex instance because I have the, the best ChatGPT GPT account. Anyway, it told me just the app just installed with Dan Shapiro made. It told me to use codec. So okay, so it's literally writing all my code and codecs right now for the first time on an app that I wrote completely in Claude. And so I think there are pros and cons to different models and to have an orchestrator that can use the right model for the right task. Like maybe Codex is better for my coding job. I don't know why it shows it. I'm just going to trust. It was Claude that I asked to go set it up and it started doing that. And so I think that this, this idea and especially if you have sensitive data, if you need things locally. But there are other solutions like that. Like if you look at Amazon Bedrock, for example, like they have models running locally on AWS for ChatGPT, for OpenAI that are stored within that section. They're not going back to the servers on the other end. So there are kind of in betweens on this. I think doing things too locally. Like I don't think we should go back. Like if I go back to Path. Right. If you remember Path, I remember we.

A (39:57)

The social application from back in the day.

D (39:59)

Yes. Social network from, you know, late, late 2010s.

C (40:03)

I don't remember my favorite. Oh so good.

D (40:06)

But I remember we had huge board debate. Board level debate. Okay, do we keep giving Amazon AWS all the money? Right. Or do we build out our own server farm? Right. And we built out our own server. It was a huge infrastructure project. Like we, we did that.

C (40:24)

Right.

D (40:24)

And I again, I have no learning if that was good or bad, but it felt like not a core competency of our business. And so from. And so I did save money, but it distracted our small team. We were 50 people and we had two engineers working on that. Right. Versus like AWS go scale. Right. And so I think that there's a balance here that going like again, as a hobbyist to go local, great. But if you're running a serious business, like you need to figure out the bare minimum to meet your security requirements, but you have to beat it. I'm not saying don't, don't not take it seriously. Right? But figure out what your Amazon Bedrock is your equivalent that, that Microsoft has and like figure out how to feel good enough there and then go. Because I don't think it's going to be healthy for innovation to go back to being local and hosting your own service.

B (41:12)

For the record, I completely agree. I think at the moment it's illogical for most businesses to be doing this setup to buy a bunch of Mac Minis and Mac Studios and then run a hundred instances of Kimmy K 2.5. I just think it doesn't make as much sense and you lose a lot of velocity. The reason why I'm Going with this and trying to build it out is. I think this is the future. I'm placing my bets on the future. I think what Alex over at EXO Labs, for some reason, half the people on the show's name's Alex, but Alex from EXO Labs, what he's building out over there, he's building towards a future where you can run these monstrous models on something as small as a Mac Mini. And so I think right now it is just hobbyists. I'm not telling big corporations to go and buy a bunch of Mac studios. That makes zero sense. But we will be going in that direction, in my opinion. That's where I'm placing my bets. We will eventually be able to run Opus 4.6 on a Mac Mini. And the people building the infrastructure out now for that future are going to be the ones that reap the benefits when it does come around.

A (42:13)

You know, we brought Matt Van Horn on and we said, hey, Matt's working on this 30 days thing. There's V2. And then we never talked about what V2 is. I think we should pause and learn about what he has cooked up lately. Because I've been tracking the GitHub starts, I've been tracking the reviews. People are raving, Matt, version two, talk to us.

D (42:28)

Yes, version two is here. So, so recap. Last 30 days is the best way. Again, it's. Again, it's a little geeky. You don't need a whole cloud code setup. I mean, a whole cloud bot setup set up, but you do need cloud code to use it. But kind of the basic gist is you can just type in the Command slash, last 30 days, and then you can learn about any topic. And one interesting use case that I've been seeing is. So initially, when I was talking about last week, kind of prompting was like the most popular thing when we just launched it. So it was like, okay, how do I use Nano Banana Pro, the desk? How do I get my claw? Open Claw setup working the best? What are the killer use cases for Open Claw? But what's crazy is I'm seeing sales teams, literally sales teams before they go into the meeting. Like, because what do you do to get your research on? Like, okay, I'm about to talk to this, you know, brand. Like, what. What's going on with them in the last 30 days? And you literally type last 30 days. Just name of brand. And you get everything like, oh, there was this scandal. Oh, they closed these stores. Oh, the CEO got fired. And it's like, where would I get that? Information, like Google News, search, Twitter. Like, I literally don't know how I would get that information. And last 30 days, like, you could just get it. And so I actually talked to a friend of mine. He's building a new CRM. AI CRM company that I'm dying to invest in. He won't let me yet. And I was just like, you just need to steal my code base and put it into your CRM, because holy crap, is this good for sales? Just as an example. But people are using it for sales. People are using it for prompting techniques. People are using it for world news, right? Like a good one. You know Kanye west in the news a lot. Like, how. How do you keep track of Kanye west and what he's doing? And, like, I'm so happy with the responses I get. There's the. The Apology tour. I'm Jewish. Like, and Kanye's my favorite artist, and I. I had to block him on Spotify. I was so sad. He's gone. An apology store tour. I've forgiven him. I've unblocked him. My kids can listen again. But, like, so I see the Apology Tour. I see Bully. The new album's coming. I see the contrary. I see who's forgiven him. I see who has not forgiven him. Right. And what's happening the last 30 days. It's helpful if I can know if I could listen to.

C (44:39)

Then you find a bunch of influencers dancing around to hail Hitler in the club, and you have to then block him again. It's crazy.

D (44:49)

It's crazy.

A (44:50)

Not getting too deep into the. In the Kanye side of things, though. But you also change the amount of time you can now search in V2. You can do 7 and 14 days as well. So it's not just the full 30 days.

D (44:59)

Matt, let me give you the three key features. So, number one, it's way better. It's way, way better. It searches a lot more. It runs a lot more queries. It's slower. Like, I want people to complain about how slow it is because it's no longer like, a minute and a half. It's usually like four to five minutes. But it's worth it. It's worth it. So it's interesting to see if people will complain and want, like, a turbo mode kind of. You think of, like the. The GPT fast modes from an API. I mean, I could build it, but I need the request anyway, so it's much, much better. Number one. Number two, it can use X for free. Giant asterisks. Let me. I'll give the asterisks in a sec. And then. And then number. Number three is you can. And this is a feature that someone literally requested. Uh, and what's funny is I. I need. My GitHub notifications are messed up. So like I don't get an email or a push notification when someone comments on my project. I should, but like, literally I just ask my agent, hey, anyone have any good ideas of like, how to make the product better? And it was like, I've sorted through all the requests people have made. Number three seems really good and I could implement it right now. And that was one of them was like, allow people to search just last seven days. And so I just said, okay. And literally I shipped it, which was great, but I'll give the asterisk.

E (46:07)

So.

D (46:08)

So Peter Steinberger, so literally our. Our hero, Open Open Claw founder, he's had this tool called Bird CLI for a while. As long as you're with the Open Claw, even though there is a skill for it which allows you to use the. To use X without using X AI tokens, if that makes sense. And literally five hours after my launch, my big video that I made using the newest Higgs Field AI, he literally announced on Twitter, sorry, I have to delete Bert cli. And it got deleted and it's gone. But it's still working if you have it installed. And there's still hacks and ways to get around it. And I have an update that I could put out if those hacks stopped working, but I haven't needed to yet until X people get mad at me and tell me to remove it also. But it's still working even though there was announcement that Bird cli and the GitHub. Bird CLI is deleted from the Internet. Peter deleted it and he commented on one of my posts which made me feel like a celebrity was talking to me. And. And he said it was not my decision. And I still called him the goat because he is.

C (47:14)

It is really like, if you think about what people use Reddit or dig for back in the day, or hacker news or tech meme, you just want to be up to date, right? And that is a core skill that you have to train people of, like cool hunting, like just stay up to date. Oliver and Lucas on my team put 30 day skill into this. So now every time we do something, I set up a skill. Every Saturday I tell the replicants, Please go use 30 days to get better and find the latest information on how to make better headlines for YouTube. Then on Sunday, we tell them to Spend an hour doing the same thing for thumbnails. So just figure out what the greatest thing is and then add it to your skill set and then report back on what you learned every Saturday, every Sunday. I would normally give that to a human to do. And then, you know, what would happen with humans? They're fallible and they get tired. And sometimes we humans are lazy or distracted or we don't prioritize stuff. You can just have this recursive, constant learning happening all the time. So go to GitHub.comm van horn/last30days or follow M V A N H O R N on X. Great job, Matt. All right, what do we have next on the docket? Alex?

A (48:32)

Well, we wanted to talk with Alex Fenn about social distribution and how he has been absolutely crushing it over on the YouTubes. This is an Oliver point. Oliver, I'm gonna let you take it away.

E (48:41)

Since we had you on last week, I think you've grown 40% on YouTube subscribers. That. That doesn't have anything to do with other platforms as well. And clearly you've gone all in. You know, you bought the Mac studio, you said you're going to buy the new one when it comes out. What have you learned about Community going all in on something like Cloudbot?

B (48:58)

Yeah, I mean, there's a lot to it. The last month has been incredible from all social media perspective. YouTube. I've gone from 60,000 subs to 110,000 in a month, which is amazing. X, same thing. I think the number one thing I've learned is that when you truly find something you're passionate about, go as hard as you possibly can, as hard as humanly possible. And if you do that, you will succeed. And I know that's kind of cliche, but if you do it in a public manner where you're creating content, you're creating videos, you're tweeting, and you're putting your all into it. People feel the energy, people feel the passion. For instance, I do a live stream Monday, Wednesday, Friday, which I skipped to come on this amazing podcast where, you know, it's grown from about 30 concurrent viewers to 800 concurrent viewers at a time over the last couple months. And the number one piece of feedback I get is I don't agree with 80% of the things you say, but you're so passionate about it, I have to keep watching. And so, you know, my. My advice and tips to people is this is. Well, first of all, distribution is king. It's another cliche, but It's 100% true. Especially in the future where I'm not the only one making cloudbot content. There's thousands of people doing it. But if you can build distribution and build a community and build a bunch, bunch of people that believe in every single thing you say, you can succeed. Even if there's hundreds of people doing the exact same thing. Do cool things, experiment, tinker, create content about it, get super passionate and you'll get a lot of people following you, tracking every single thing you, you do and say. And then you put out a product, you'll be successful.

E (50:32)

Yeah. And I know that you have Creator Buddy as well. What is this kind of building in public and building yourself up as a creator done for your SaaS?

B (50:39)

I mean, across the board, everything is absolutely exploded. And I'm completely transparent about all my numbers and everything I'm making and all that. And I'm like, I'm happy to show the numbers right here. Like everything. It's the SaaS. It's here's YouTube ad revenue has completely exploded last 365 days. You know, we can see I'm now making almost a thousand dollars in YouTube ad revenue a day now because of all this. And it's on everything. The, the Creator Buddy View user base has gone up about 40% over the last month. So about 40% more paid subs doing $50 a month on Creator Buddy SaaS. YouTube Ad Revenue X ad revenue. I have a private community where I talk about AI that's 5x in the last month. So distribution explodes everything. It superpowers all your businesses, it superpowers all your revenue lines. And I think especially in a world where there are going to be layoffs, I think, again, not to fear Monger. There are going to be layoffs, there are going to be people lose their job. This is your hedge against that. Building your following, building your distribution. Because once you have that distribution, you're bulletproof. You can do literally anything you want.

C (51:47)

I would agree with this. It's if you are looking at content movements. I had famously like two of the core developers from Bitcoin on this podcast in 2010, 2011, and I like wrote a blog post about it. But then I kind of forgot about Bitcoin. I should have literally talked about Bitcoin for the next hundred weeks and I should have invested in it as making up for that mistake. Although my wife did buy a bunch and we made millions of dollars. So we're all Good. Don't worry. OpenClaw at launch co OpenClawnch co the next Foundry University is gonna be dedicated to OpenClaw founders and you don't need to be incorporated. You can just be two or three tinkerers, make something, anything. And then you can take a picture of this QR code which we'll add here and we'll put it all around my head. Take a picture of that. It'll fire off an email to Open Claw at Launch Co. We're going to give 10 people who pitch us on their idea or show us some stuff, 25k their first check into their startup. And we're going to give 10 people the ability to come to our accelerator, which is the standard 125k deal. If you're further along, we might pick you for the 125k. Or if you're just like two or three people tinkering, but you have technical skills, we will offer you the 25K. So 10 and 10. That's. Yeah. What is that? It's $1.5 million in investments in 20 OpenClaw companies happening in the next 30 days. Just OpenClaw at launch co. We're all in. We're clawshotted. Just one question I had for everybody was, what's going on with Opus 4.6? Has anybody played with it in depth and can tell me if it is in fact much different than 4.5 or to 4.6?

B (53:38)

I think the model is great. By the way, the model is fantastic. Not to jump in, it just I've been using it a bunch last few days. It's partially. The model is great, it's partially anthropic, has improve the tooling even more inside Claude code. They have what's called agent teams now, which is basically you give Claude Opus 4.6, hey, can you build this for me? And what Claude code will do now is actually spin up multiple instances of CLAUDE code to tackle that problem. And so before, it's always called sub agents and subagents was basically one Claude code instance splitting itself five or six different ways. Now what it actually does is it takes and creates five or six different instances of CLAUDE code that can talk with each other, communicate with each other, and you can talk to each one individually. So it's both a really good improvement to the model and also a huge jump in the tooling as well.

C (54:33)

Any thoughts? Matt Van Horn, have you been able to distinguish any difference between this 0.1 upgrade?

D (54:39)

I have not. Again, humans should not look at the code. Humans, humans should not write code. Humans should not review code. I just assume it got better and I'M sure they'll bill me more for it. I think it. But I did just ask last 30 days. So, you know, if it comes back at a reasonable time period that it get interesting, I'll let you know.

C (54:57)

Human free code. That's our theme for the day. Alex Maffethorn, thank you so much for joining us. We'll see you on Wednesday, which is in about six open claw years. Just come back in 48 hours. Let's do, let's run it back on Wednesday. I mean, I, I can't stop thinking about. I'm out here skiing and I'm literally talking to my two Claude agents and if you work for me or you work at any of the startups we've invested in, just stop doing what you're doing and get on Open Claw. Get something set up safely, safely. Safely, and then go from there. Actually, you had one story left, Alex, did you have a story about safety and Open Claw that we couldn't have Alex and Matt Van Horn comment on?

A (55:38)

Yeah. So they're. Over the weekend, the Open announced that they're going to work with virus total to scan skills that are on the Claw hub. And they say, look, this is not a silver bullet. This is not going to solve the problem. But at a minimum, it's providing a layer of security. And so Alex, Matt, I'm just curious on the skill front, if you think this is a good enough step to get people to a point of confidence or if this is just a thin band aid over a gaping wound and therefore not enough to really solve any of the security issues we talked about.

C (56:06)

About.

D (56:06)

I, I think it's, again, it's a band aid, right? Like, I, I have the most popular X search tool. Like, why should I be allowed to do that? Like, the X company should be able to stop me. Like, who, who know? Like, literally, I did. I never looked at the code. I trust it because it's, I give very simple instructions, right. But I own that skill, right? And so like, and it's, it says exit it. It doesn't use. Like, you remember, like when you write a Twitter app back, it had to be called Tweety or something like that, right? And so like there's, it's good that someone is looking at my code to confirm that it's not malware. At least I think not. Malware doesn't work. Like, these are the basic tests that are important and then verification could come later.

C (56:47)

I just, I just gave my team the green light to use the X API and pay. I think 100 or 200 bucks a month for the basic one. What's the difference between like are you using MCP or scraping? How does the. Or the Claude sidebar or Chrome extension? How are you with last 30 days getting X content versus using the API?

D (57:08)

Yeah, so back in the day when I built last 30 days, less than 30 days ago, there was no X API that was available to the public. So I was using the XAI API, if that makes sense, which fairly charges you per token. I have not done the math between the new X API that launched one week ago versus the X AI, but I think that it just is more personalized for you and your account and being able to post, et cetera, I believe on the X front. But again, the core mechanics of the bird cli, you could still do it for free. So that still exists. It's deleted from GitHub. But ask your agent to figure out how to do it and your agent will figure it out. It is not blocked by by X yet. By the way, I did get the response on the opus from last 30 days. So the biggest thing is context window. So million token context window up from 200k. So that's, that's the biggest win. And then what, what, what Alex mentioned the agent teams is the real differentiators. And yeah, people, people like it.

A (58:12)

There's also fast mode for 4.6 which costs several times as much, but you can kind of jump to the top of the queue and get faster inference. I'm really curious to see who's going to pay for that because it was already not cheap, Matt. And paying a multiple of that per token. Even you with your venture money will eventually start to cry. I think at the amount of money you'll spend there.

C (58:30)

All right, absolutely. Fantastic. Let's drop the boys off. Matt, great job. Ping me about the investment. Put in a little frisky bet. I'm feeling frisky. Open claws got me feeling frisky. I got the checkbook right here. I gotta wire some. I gotta send some wires. Alex. Finn, if you want to be an entrepreneur at some point and like take venture money, let's talk you and I. Do you have no outside investors, right, Alex?

B (58:55)

Well, to cover the first problem, already an entrepreneur, but the second part of taking investment money, have not done that yet. But you'll be the first person I go to.

D (59:02)

Jason.

C (59:03)

All right, there we go. I always like to be the first or third or fourth investor in great entrepreneurs and their companies. I also have the domain name begin.comb I g I n.com which I, yeah, spent hundreds of thousands of dollars on. And I think that is the best name possible for an open claw software product.

D (59:22)

So not openclaw.com I mean I did.

C (59:26)

There was an AI.com commercial. Let's play it and get everybody's reaction. Go ahead, Alex, play the open. This is the AI.com some crypto company bought AI.com for 70 million. Now I had a two letter domain name, 20.com and I bought it for 70k 15 years ago. I sold it five years later for 1.8 million or something. So I probably should have held onto that. But AI.com, whoever owned that, right place, right time. Here's 30 second commercial.

B (59:55)

Go.

A (60:00)

If you're on the audio version, it's two balls flying through the air. They collide and they form an AI.com logo that looks very generic, like some old TWA logo. It says AGI is coming and then it prompts you to reserve your username. Jason, I did this. I'm now AI.com Alex Wilhelm. But I will say that the scuttlebutt around the Internet is that AI.com is essentially a open claw clone. So the idea here is that the guys behind crypto.com, great branding, great domain name, are now going to build something called AI.com it's promising an agent that'll do actual work for you. They spent a lot of money on the domain and the super bowl commercial and I. Godspeed. Oliver, your thoughts?

E (60:45)

Yeah, I mean the super bowl commercial was not great. Obviously it was. I mean they probably spent, they could have spent $20 in, in Higsfield credits on that video.

C (60:54)

They're probably, that's probably the case. By the way, that looks like they spent $20.

E (60:58)

I mean if you're watching the, the super bowl and it's loud and that epic music comes on, you'll get its attention. I, I do believe that they had the. You can reserve a domain name. That was kind of the whole hook of the commercial is that people were rushing over to reserve a domain name.

B (61:13)

You can.

E (61:13)

I think producer Marcus got Marcus B. I was trying to get some low amount of letters domain name. And then the next step after you reserve your domain name was to put your credit card in. So that step, I just, that's where I logged off.

A (61:27)

That's what I was like, no, I'm good.

B (61:28)

I don't.

A (61:28)

The crypto.com guys, I don't know if I want them to have my, my good credit card pass.

B (61:32)

Yeah, I have a rule that whenever someone advertises their product but does not talk about what the product is or what the value is of the product, that I just automatically assume it's a scam and I do not buy into it. And I went to AI.com and the first thing it did was ask my credit card number without even telling me what the product was. And I said, no way. There is a 0% chance this ever turns anything. This is 100% a scam. I mean, I didn't want to call this other company a scam, but, you know, the early cluly advertising was very much the same, where it's like cheat on everything, but then it doesn't tell you what the product is or what the product does. And it's like, if you have a good product, I feel like you would tell me what it is, but the fact that you're not telling me what it is, I'm going to pass.

C (62:13)

You get to a credit card form and then you have to pay to reserve your name. But they don't charge your card, so I guess they're doing that to charge you in the future maybe.

B (62:25)

But at no point do they tell you what you're buying. You're buying a username, but for what? And they don't tell you what that is. There's no part of the onboarding that's like you're getting a username for an AI agent that will do this for you. It's you're buying AGI. Give me your credit card number.

C (62:39)

You know what? I'm going to. I'm going to be. I'm going to take the other side of it. I like it. I don't know why I like it, but I like that they have the audacity to do something so Deranged has spent $70 million on an incredible domain name. Give everybody a handle and figure it out later. I think what they should have discharged is charge $1 per handle and let you buy up to 10. That would be great. Or the first one's free, but. And you get 10 of them, then just have you create a massive domain swatting. Let every credit card buy 10, every email. All right, Matt, you are going to order some sushi on your open club. Let's see it. What's going on over here?

D (63:19)

You ordered me lunch, so I don't have long till my next meeting. So I. One of the most powerful things I built. I'm sorry, Alex, I haven't built a whole business on my open claw, but order sushi where there's a sushi place downstairs, and I get the same thing every time. And the web interface is so bad, there's no API. And so it's like my open claw clicking around. It took a long time to get right. Anyway, it's finally good. It works. I just ordered sushi. But here's something. When I set this up so it cost $19 for my sushi order, I actually said back in the day, you know, a week ago when I set it up, do not spend more than $20 in case it, like, adds it four times or something. Right? That was my intent. Anyway, it just said, logged in, going to order Sushi. The total's 20.73, up from 19.58. The roll went up $1. That's over $20. You still want the order. And so I literally would not have noticed this ever, but my open clock caught that dollar. That raised prices since Friday, which is crazy.

E (64:13)

My friend had sent me over an expost that I think was going viral that was talking about how open claw has a lot of security risks. And there was an example where someone was trying to maximize OpenClaw and it bought an Alex Hormozi subscription. Like, that was like $2,000. And basically the person went into Openclaw and was said, what have you done for the last 24 hours? And explained how it bought these subscriptions to make your life better, to help improve everything, to help open claws make your life better, basically. But that kind of runs me to my next question for Alex, which is you mentioned security was a concern for a lot of SMBs and enterprises, and they shouldn't necessarily start using this tool now, but they will in the future. Why would you say that they shouldn't start at the moment? Should they start tinkering with it? Because at launch, we're seeing a lot of potential impact.

B (64:59)

Oh, no. If the messaging people understood from what I was saying is that companies should not tinker with it, that is not the message at all. My message to everyone is everyone should be tinkering with it. Every company, business, corporation, SMB should be tinkering with it. There are risks. There are security risks. Right? Which is what makes it such a colossal opportunity at the moment, is there are so many people scared. And when your competition is scared to use something, scared to dip their toes in something that's ultra powerful, that's your time to strike. That's your time to be careful, to make sure you do it the right way. But you also need to make sure you figure out how to implement it. And Use it because that's where the opportunity is. I mean, a big reason why I think my content, my channels have blown up so much in the last two weeks is I haven't been scared to make the investment and go all the way in and experiment and do new things, while other people are kind of scared to go out and buy a Mac mini for $600. I bought $20,000 of Mac Studios. Right. And so when your competition is nervous and scared to go all in, that's when you should be striking. So I think all the SMBs and corporations, if they're smart, would be implementing this and figuring out how to create value.

C (66:08)

We're at a brave new world. Great job, gentlemen. Matt Fed Horman will drop you off. Alex will drop you off as well. And I think we have one more partner to say thank you to Alex. Let's do that.

A (66:18)

So today on the Poly Market front, we're going to ask a question. When does Claude 5 come out? Now, we talked a lot about Opus 4.6, Jason on the show today. Everyone loves it. So I was surprised to see people already betting over on Poly Market or wagering or, you know, predicting if you will, when Cloud 5 will come out. Now, there has been $1.2 million in volume here and everything's pointing down. The odds are falling because it doesn't seem like it's going to come out soon. But still there's a 55% chance, according to the Poly Market Sharps, that by the end of March we're going to have not just a new cloud, Opus 4.7, but the entire newly new Claude 5 family. And I thought that was hella exciting.

C (66:56)

Well, it's most exciting about this is that the founder of. No, just joking. Cloth 5 is. The founders or the developers are not placing bets here. You can be sure of that.

A (67:05)

No, no. Although, can I just say how everyone is now looking through all the people who are making prediction bets and trying to figure out who is an insider. I keep seeing tweets about people going through, you know, pie, marketing, costing and so forth. And it's really interesting. People are now like sleuthing for, for the cheaters to find them to get ahead of it. I love watching information flow. It's a. It's a blast.

C (67:26)

It's amazing. All right, that's been another amazing episode of Twist. He's at Alex on X Com. I'm at Jason and we'll see. Oh, yeah. Click these QR codes to Sign up for YouTube and Spotify. YouTube and Spotify and click this QR code down here. Maybe to email. OpenClawnch co. 1025 K Investments. 10125 K Investments. Let's get at it, folks. Let's change the world. Open Claw is going to change everything. It's changed everything already. I think it's my personal belief. All right, see you next time. Bye bye.