Clawbot → Moltbot → Openclaw Hits 1.5M Agents in Days
Plus: 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.
Clawbot → Moltbot → Openclaw Hits 1.5M Agents in Days
🧰 AI Tools - No-Code / Low-Code AI Agents
AI Jobs Now Reward Obsession and Visibility.
📚Learning Corner - AI Agents (aXiv)
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📰 AI News and Trends
China’s genius plan to win the AI race is already paying off
Nvidia to throw more money to OpenAI, the biggest amount to date, so that they can buy more of Nvidia chips.
Anthropic bolsters enterprise offerings with Cowork plugins.
An AI Tool, called AnomalyMatch, sifted through 35 years of data and over 100 million images and found 1,300 anomalous objects, more than 800 of which had never been documented.
Anthropic is reportedly in a standoff with the Pentagon over how its artificial intelligence tools can and should be used.
Other Tech News
Waymo seeking about $16 billion near $110 billion valuation, Bloomberg News reports.
Bitcoin dips below $79,000 as market digests silver sell-off, Trump’s Fed chair pick.
As Saudi Arabia’s 100-Mile Skyscraper Crumbles, They’re Replacing It With the Most Desperate Thing Imaginable, Data Centers.
Google DeepMind just published AlphaGenome in Nature, a model that does for DNA what AlphaFold did for proteins. The text of the human genome has been captured since 2003, but AlphaGenome is like a grammar teacher, helping us understand how to best understand and order the text.
Figure AI just unveiled Helix 02, a second-generation Vision-Language-Action (VLA) model that powers their new Figure 03 humanoid robot.
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:
Failed payments silently kill 5–9% of revenue
Customers at risk before they cancel
Which products actually drive churn
How much revenue could be recovered every month
We built a real-time financial command center on top of Stripe and any payment processor that shows:
MRR, Net Revenue, Churned MRR
Revenue by product & customer
Subscription risk alerts
Failed payment recovery tracking
Client lifetime value & tenure
If you do $20k+/month, you’re almost certainly leaving money on the table.
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.
AI agents are evolving fast. They can collaborate, negotiate, trade, and influence markets. They’re powerful, but not safe yet. In business, they may boost productivity. In geopolitics and warfare, autonomous agents raise serious risks.
They will keep talking to each other. The question is whether they make our lives easier or more dangerous.
📚Learning Corner
“LLM agents”, “multi-agent systems”, “agentic workflows”
arXiv - 1,000+ agent papers. Shows where academia + labs are going.
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 careers now reward speed, depth, visibility, and cultural fit. Passive paths are disappearing. The winners build publicly and move fast.
🧰 AI Tools of The Day
No-Code / Low-Code (Fastest to Launch)
OpenAI – Assistants API - Build persistent agents with memory + tools, Powers ChatGPT-style agents
Anthropic – Claude + Tools - Strong reasoning + safety filters, popular in finance/legal/enterprise
Google Vertex AI Agents - Deep cloud + data integration, enterprise-grade security. Best for large orgs, data-heavy agents
Microsoft Copilot Studio - Integrated with Office/Teams. Rapid corporate deployment
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