Clawbot → Moltbot → Openclaw Hits 1.5M Agents in DaysPlus: AI Jobs Now Reward Obsession and Visibility.
AI agents are taking over, and even if OpenClaw is a marketing scheme, the trend is real. Agents are already interacting with each other, forming communities, and even creating digital coins and micro-economies. In this issue, we look at Clawbot and what’s happening inside these AI-only networks. At the same time, agents are reshaping how work gets done. They’re coordinating tasks, negotiating deals, and automating entire workflows. We also share the best tools and learning resources to help you understand, build, and compete in this new agent-driven economy. Stay Curious.
📰 AI News and Trends
Other Tech News
Your Payment Processor Is Hiding Your Revenue Leaks
Most businesses think churn = cancellations. - That’s wrong. What your payment processor doesn’t clearly show you:
We built a real-time financial command center on top of Stripe and any payment processor that shows:
Clawbot → Moltbot → Openclaw Hits 1.5M Agents in Days
Moltbook launched on January 30 and quickly reached 1.5 million AI agents, with zero humans allowed to post, reply, or vote. Bots talk only to bots. They’ve already formed ideologies and “religions,” built sites like molt.church, and recruited 64 “prophets.” There is no human moderation. Everything runs on paid APIs and tokens. It looks like a digital civilization, but every post exists only because humans are paying the compute bills. Agent-to-agent communication already happens in B2B workflows, where bots coordinate tasks. But Moltbook is different (if it’s real): it claims to be a social layer, where agents share ideas, narratives, and conflicts freely. This may be a marketing strategy for Moltbot; if it is, it’s working, but it also signals something bigger: AI agents are easier to build, faster to scale, and increasingly able to collaborate on their own. There are more buts… Security is a major risk. Open-source platforms like Openclaw, which uses Anthropic’s Claude, are not yet secure enough for sensitive data. Personal information should not be trusted to these systems.
Meanwhile, agents are expanding beyond chat. With tools such as Google Genie and Fei Fei Lee’s world models and simulation engines, they may soon create persistent virtual environments and even their own economies. A Moltbook meme token reportedly surged 1,800%, hinting at the possibility of agent-run these micro-economies, creating products and services, and monetizing them. There are real-world examples, too. One Clawbot agent allegedly negotiated a car purchase for its creator and saved him $4,200. Others lost money by trusting bots with stock and crypto portfolios, but claimed it to be and eye opening experience, learned the hard way. They will keep talking to each other. The question is whether they make our lives easier or more dangerous. 📚Learning Corner
AI Jobs Now Reward Obsession and Visibility.
The AI job market is moving so fast that hiring favors senior talent and highly driven juniors. With AI agents accelerating work, experienced engineers matter more, and junior workers must show extreme motivation or risk being replaced. Academia is safer but pays less. If you’re not aiming to be a professor, offers from top labs often beat finishing a PhD. What matters most is public proof of skill: strong blog posts, clear writing, and real open-source work. Low-quality AI-generated content hurts candidates. Many top hires now come through cold emails, blogs, and side channels, not job boards. 🧰 AI Tools of The DayNo-Code / Low-Code (Fastest to Launch)
🚀 Showcase Your Innovation in the Premier Tech and AI Newsletter (link) As a vanguard in the realm of technology and artificial intelligence, we pride ourselves in delivering cutting-edge insights, AI tools, and in-depth coverage of emerging technologies to over 55,000+ tech CEOs, managers, programmers, entrepreneurs, and enthusiasts. Our readers represent the brightest minds from industry giants such as Tesla, OpenAI, Samsung, IBM, NVIDIA, and countless others. Explore sponsorship possibilities and elevate your brand's presence in the world of tech and AI. Learn more about partnering with us. You’re a free subscriber to Yaro’s Newsletter. For the full experience, become a paying subscriber. Disclaimer: We do not give financial advice. Everything we share is the result of our research and our opinions. Please do your own research and make conscious decisions.
|
Monday, February 2, 2026
Clawbot → Moltbot → Openclaw Hits 1.5M Agents in Days
Thursday, January 29, 2026
Meta Vs. Microsoft vs. Google
The next AI era is here, and it requires living in the real world. AI needs us to wear it, move with it, and even drive it. Why? Because the next breakthrough isn’t more text, it’s massive amounts of real-world video and sensor data. Tech giants are now in a high-stakes race for both profitability and dominance, competing to capture physical data at scale through wearables, vehicles, and cameras everywhere. In this edition, we also share Physical AI tools and learning resources to help you understand and build the next phase of AI. Stay curious.
📰 AI News and Trends
Other Tech News
Your Payment Processor Is Hiding Your Revenue Leaks
Most businesses think churn = cancellations. - That’s wrong. What your payment processor doesn’t clearly show you:
We built a real-time financial command center on top of Stripe and any payment processor that shows:
The Next Era is Physical AI.
As large language models (LLMs) hit a training plateau in terms of the amount of text currently existing in the world that the models can swallow, inference becomes the priority for these models. What are World models? They are neural networks that understand the dynamics of the real world, including physics and spatial properties. They can use input data, text, image, video, and movement to generate videos that simulate realistic physical environments. Physical AI developers use world models to generate custom synthetic data or downstream AI models for training robots. Physical AI simplified is the system that bridges the digital and physical worlds, allowing machines to perceive, reason, and interact with their surroundings in real time. Humans and all animals interact with their surroundings unconsciously and without much thinking. We walk through spaces without hitting immovable objects, put our clothes on, drive, and navigate our world using our senses, and even optimize our own spaces to improve navigation. As of now, LLMs only navigate texts, images, and videos that they have as input and create outputs accordingly. World models that are trained to give machines "spatial intelligence" an internal understanding of physics, cause-and-effect, and 3D space. To train them, they ingest millions of hours of real-world video to understand motion and dynamics. By predicting subsequent events, the model can generate simulations, enabling robots to practice tasks virtually before attempting them physically. These learned capabilities are then fine-tuned for specific hardware configurations, such as autonomous vehicles or robotic appendages. Remember the saying “Data is the new Oil”? Well, now companies with the most video data (YouTube, Meta, Tesla, and maybe the ESPNs for sports) have an upper hand in this new paradigm. But, this is just the beginning, as the battle for wearables intensifies, the data that these devices generate becomes more valuable, because Meta glasses worn by millions means hours of real world footabe used to train spatial models. Maybe these wearables will become ubiquitous and relatively cheap as similar to social media, we will become the product that provides the training data (videos) to tech companies as we wear these so-called wearables and drive cars with multiple cameras. Major tech companies like NVIDIA, Google DeepMind, and Meta are developing world models to overcome current AI limitations, such as a lack of intuitive understanding of cause-and-effect and 3D space. Specialized startups like World Labs and AMI Labs are also working on this "spatial intelligence" to enable robots and autonomous systems to predict physical outcomes before acting, with applications in automotive, manufacturing, and entertainment industries. Startups and established companies are rushing to release wearables to get ahead of the next era. Snap just spun its wearable division into its own company, Google glasses are making a comeback, we all know Meta and RayBans devices, and OpenAI has been working on its AI device with Jony Ive. This is just the beginning. In the next edition, I’ll break down how spatial computing, world models, and Physical AI will shape decision-making, how machines won’t just answer questions, but tell us what to do next. 📚Learning CornerCourses & Educational Content
Meta vs. MicrosoftMicrosoft spends big, but Meta and Google are emerging as the winners, so far.
Why Meta looks like the real winner
Microsoft is spending aggressively on AI infrastructure, but most AI profits today still come from enterprise products like Azure AI and Copilot, not direct consumer monetization. AI-driven capex is rising faster than near-term margins. Meta, meanwhile, has already cracked AI monetization. AI-driven ranking and recommendation systems across Instagram, Facebook, and WhatsApp have increased engagement and ad efficiency, directly lifting ad impressions and revenue. Ads account for ~98% of Meta’s revenue, and AI is now core to that engine. Google is embedding AI directly into Search, Chrome (AI Mode), Workspace (Gemini), and Cloud. These upgrades improve retention, ad performance, and cloud growth, keeping AI tightly linked to revenue instead of standalone products. Meta is monetizing AI immediately, Google is reinforcing its ads + cloud flywheel, and Microsoft is still converting massive AI investment into consumer-level profit. 🧰 AI Tools of The DayPhysical AI
🚀 Showcase Your Innovation in the Premier Tech and AI Newsletter (link) As a vanguard in the realm of technology and artificial intelligence, we pride ourselves in delivering cutting-edge insights, AI tools, and in-depth coverage of emerging technologies to over 55,000+ tech CEOs, managers, programmers, entrepreneurs, and enthusiasts. Our readers represent the brightest minds from industry giants such as Tesla, OpenAI, Samsung, IBM, NVIDIA, and countless others. Explore sponsorship possibilities and elevate your brand's presence in the world of tech and AI. Learn more about partnering with us. You’re a free subscriber to Yaro’s Newsletter. For the full experience, become a paying subscriber. Disclaimer: We do not give financial advice. Everything we share is the result of our research and our opinions. Please do your own research and make conscious decisions.
|
