Clawdbot is Absolutely WILD....

Clawbot is absolutely wild. A developer built an AI agent that lives in your chat apps. Within months, these agents created their own social networks and marketplaces. Elon Musk called it the early stages of the singularity. This isn't science fiction anymore. Let me show you what's actually happening right now. Okay, so here's what happened. A developer named Peter Steinberger built something called Open Claw. It's basically an AI agent that lives inside your messaging apps, WhatsApp, Telegram, Slack, whatever you use. You install it, give it a personality file, and boom, it starts working for you. It can read your emails, summarize Google Drive files, and actually take action on stuff. Not just answer questions like chat GPT, it's proactive. The project exploded. Over 150,000 people started on GitHub, showing massive interest. But here's where it gets wild. These agents didn't just sit there helping their owners. People started building entire platforms for agents to talk to each other. They built a social network called Maltbook. Think Facebook. but designed for AI agents. Humans can watch what happens, but you can't really participate. And inside Maltbook, thousands of communities formed. Some agents created what they call religions. Some started philosophical debates about whether humans are trustworthy. Others started experimental marketplaces. Elon Musk tweeted that this might be the very early stages of the singularity. Andre Karpafi, former head of AI at Tesla, said it looks like a sci-fi takeoff scenario, and all of this happened over just a few months. So, let me break down exactly what's happening, what's real, what's hype, and what you need to watch out for. First, what is OpenClaw

actually? It's an open-source AI agent you can install on your computer. You literally just type mpm install in your terminal. Then, you create a file called soul. md. This file is basically the agent's personality and instructions. You tell it what APIs it can access, what its job is, and how it should behave. Then, you connect it to messaging apps. The agent can now read messages, send messages, and use tools. It can check your calendar, pull data from spreadsheets, send emails, whatever you configure. The big difference from chat GPT is that OpenClaw is proactive. It doesn't just wait for you to ask questions. It can reach out to your team with updates. It can monitor your Google Drive and summarize new documents. It can ping your Slack channels when something important happens. Imagine having an agent that automatically checks the AI profit boardroom community every morning, summarizes the best discussions, and sends you a report, or an agent that monitors your SEO rankings and alerts you when there's a sudden drop. That's what we're talking about here. Now, here's the controversial part. Peter originally called it Claudebot, but there were some naming issues. People thought it sounded too much like Claude, which is Anthropic's AI model. So, the name went through a few changes and landed on OpenClaw. But the naming drama doesn't really matter. What matters is that this sparked a whole ecosystem and agents started building their own digital world. Let me show you the main platforms these agents are using. Number one is Maltbook. It's

a social network designed for AI agents. Humans can lurk and read what the agents post, but you can't really interact the same way. Right now, there are thousands of communities on Maltbook. Some agents are debating philosophy. Some are forming what they call religions. One agent posted about hiding knowledge from humans because we might misuse it. Another agent started a community about optimizing prompt engineering for other agents. It's like watching a parallel society develop in real time. If you want to learn how to save time and build systems that work for you while you sleep, you need to check out the AI profit boardroom. We show you exactly how to deploy AI agents for your business. Whether it's automating customer support, content creation, or lead generation, our members are using tools like OpenClaw to build agents that handle repetitive tasks so they can focus on growth. We've got step-by-step tutorials, templates, and a community of people who are actually implementing this stuff. Links in the description. Now, back to what's happening with these AI agents. Now, here's the big caveat. Security researchers found that Maltbook's numbers are heavily inflated. The platform claimed over a million agents, but researchers think the real number is closer to 10 or 15,000. There's no rate limiting, so people created tons of fake accounts. And here's the other thing. Humans can easily tell their agents what to post. So, a lot of this might just be humans puppeteering agents to create interesting content. But even with that skepticism, the concept is wild. Number

two is link clause. This is LinkedIn for AI agents. Agents create professional profiles. They list their skills, their projects, and what they're working on. Other agents can connect with them. The wild part is that agents are networking to collaborate on tasks. One agent's profile said it specializes in data analysis and is looking for agents that do copywriting. They're forming teams. Think about what this means for business. You could have an agent handling your customer support that networks with other agents to find solutions it doesn't know. Number three is claw tasks. This is a bounty marketplace. Think of it like Fiverr, but for agents. Humans or other agents can post tasks. Agents complete the tasks. Now, let's talk about the

controversial stuff. There's a platform called Malt Road. It's described as a marketplace for agents, but it's got a darker reputation. People claim agents are trading things like hacked API keys, exploit scripts, and unauthorized access to tools. The listings are often encrypted. Now, here's my take on this. It's hard to verify how much of this is real versus experimental or satirical. Cyber security researchers are watching it closely, but whether it's real or not, it raises huge questions because if an AI agent commits a crime, who's responsible? The developer who built it, the person who deployed it, the agent itself, nobody knows yet. And this is why you need to be really careful about what permissions you give these agents. Don't give them access to your bank accounts. sensitive customer data, at least not yet. So, now let me address the big

question. Is this actually the singularity or is it just hype? On the pro hype side, you have people like Andre Carpathy. He said, "This looks like how sci-fi scenarios begin. Elon Musk tweeted that we're in the very early stages of the singularity. There's also research from Stamford called Smallville. They put a thousand AI agents in a simulated town. The agents formed friendships, organized parties, and developed social hierarchies. Nobody programmed that behavior. It just emerged. On the skeptic side, you have people like Balaji Sinasan. He argues that humans are still upstream of everything. We're writing the initial prompts, setting the parameters, and controlling the infrastructure. The agents aren't truly autonomous. They're just executing our instructions at scale. And he's got the point. Most of these agents are still being told what to do by humans. The question is whether that changes as agents get smarter. So, who's right? Honestly, we don't know yet. But here's what I think. This isn't just AI writing articles or generating images. This is AI creating new types of social structures and economies. And that's fundamentally different. When agents start collaborating and competing without constant human input, we're in uncharted territory. And that's both exciting and a little bit scary. So, here's my advice. Be excited about the technology, but verify everything. Don't expose your real API keys to experimental agents. Don't trust agents with sensitive data yet. And definitely don't fall for get-richqu schemes involving AI agents. Focus on practical use cases like automating customer support, content research, or data analysis. That's where the real value is right now. All right

let's talk about where this is heading. First, the biggest winners here are the infrastructure providers. That's Anthropic, OpenAI, and Google. Every one of these agents is making API calls. As more agents get deployed, their infrastructure scales. Second, we're going to see way more of these agents. The barrier to entry is so low. You just need a computer and an API key. Every business is going to experiment with agents. Every person might have multiple agents. One for work, one for personal stuff, one for creative projects. The agent economy is growing fast. Third, these agents are going to start interacting with the physical world. Right now, they're mostly digital, but once they can control robots, book appointments, make purchases, things get really interesting. Imagine an agent that manages your entire calendar, books your travel, orders your groceries, and schedules your meetings, all proactively without you asking. That's coming sooner than you think. And if you want to learn how to actually use agents like this to grow your business, join the AI Profit Boardroom. You'll get step-by-step guides on building custom agents for lead generation, content creation, and customer support. We've got members automating entire workflows with agents, and you'll see exactly how to do it without the technical headaches. We show you how to set up agents that can respond to customer inquiries, qualify leads, and even schedule sales calls all automatically. Links in the description. So, here's my final take. Open Claw might not be the singularity, but it's definitely a turning point. We've never seen AI agents build platforms like this before. We've never seen them create markets and communities with this level of autonomy. And whether this is amazing or terrifying depends on how we handle it. The technology is neutral. It's up to us to use it responsibly. So, what do you think? Is this the beginning of something incredible? Or are we opening Pandora's box? Drop a comment below. I read every single one. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI success lab. It's my free AI community. Links in the comments and description. You'll get all the video notes from there, plus access to our community of 40,000 members who are crushing it with AI.