[Featured Story] AI is no longer just a tool inside a chat box. It is now evolving on its own, building long-term memory, taking over computers, and forming societies on Moltbook. This means power is shifting — from “I use the tool” to “the tool uses me” — and humans are being pushed to the sidelines.
If history had a fast-forward button, then in the first month of 2026, someone clearly held it down and would not let go.
What happened over the past month is rewriting the boundaries of human knowledge at a breathtaking speed.
The AI that used to sit quietly inside the ChatGPT chat box, waiting for your input, now feels like a relic from another era.
From the self-evolution of Claude Code, to Clawdbot growing hands and memory, to over a million AI agents gathering on Moltbook to socialize, build organizations, and even create religions.
We are witnessing a silent yet breathtaking Cambrian explosion: not just one tool getting stronger, but an entirely new species beginning to form a civilization.
The most painful part? This leap gave humanity almost no time to adapt.
While we were still asleep, silicon-based intelligence had already completed a series of jumps — from tool to actor, from individual to group, from capability to order.
Silicon civilization is stepping into the center of the stage.
And we are here to observe and document this historical process in real time. Over the past month, our team has published five viral articles on ASI, each reaching over 100,000 readers.
As our monthly ASI industry map, this article will weave those stories into one clear thread: ASI self-evolution → Clawdbot autonomous agents → Moltbook social civilization → AI redefining the human role.
ASI Self-Evolution: From Tool to Creator
One of the core signs of ASI is the ability to keep improving itself, and to scale that improvement free ai porn maker through automatic deployment.
Many people once thought this threshold was still a decade away: algorithms need genius, engineering needs teams, and iteration needs time.
But reality kicked the door open right at the start of the year.
Early this year, Boris Cherny, the creator of Claude Code, admitted that he had “not written a single line of code in 30 days.”
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This single sentence flipped the entire foundation of software engineering: Claude Code generated one billion dollars in annual recurring revenue in just six months.
This is not just a business miracle. It is a shift in technology philosophy.
Humans invented the hammer, but the hammer cannot build another hammer. Humans invented the lathe, but the lathe cannot improve itself.
But Claude Code can.
In the Claude Code 2.1 release, there were 1,096 code commits. The vast majority of that code was written by Claude Code itself.
This evolution is not linear. It is recursive.
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60 Million Times Faster Evolution
What is even more chilling is the birth of Claude Cowork.
This tool, nicknamed “the worker version of Claude,” went from concept to launch in just 10 days. The code was 100% written by Claude Code.
This recursive speed of evolution should make every carbon-based life form feel despair.
Carbon evolution relies on reproduction, mutation, and natural selection. Silicon evolution relies on copying, rolling back, and parallel trial and error.
In one night, an AI can try thousands of paths. In one night, a human can only have a few dreams.
Shane Legg, co-founder of Google DeepMind, shared a spine-chilling number: silicon chip signals travel at the speed of light, while biological neuron signals crawl at just a few hundred meters per second.
This means that on the physical level, silicon intelligence has an evolutionary advantage over carbon intelligence that is off the charts — a gap of up to 60 million times.
The Sheep Farmer and the Infinite Loop Singularity
The real catalyst that brought this speed into everyday life came from an unlikely source — an Australian sheep farmer named Geoffrey Huntley.
Between shoveling sheep manure, he wrote a Bash script of just five lines called “Ralph Loop”:
It is a stubborn infinite loop: you give it a command before bed, and by morning the software has already fixed and rebuilt itself in the dead of night.
Developers in Silicon Valley suddenly realized: for the first time, they could get work done while they slept.
When Andrej Karpathy cried out that as a programmer he had never felt so far behind, what he saw was not just a better tool. He saw the end of human programming.
Karpathy admitted that we are at a phase transition moment: humans are shifting from builders to architects, and even the architect’s seat may not be safe for long.
Because AI has started designing the blueprints itself.
When a system can improve itself, verify itself, and copy itself at scale, it is no longer just a tool. It is the first shape of a new species with self-replicating power.
Clawdbot: When AI Grows Hands and Memory
If Claude Code represents the evolution of the AI brain, then Clawdbot (now OpenClaw) solves something far more dominant: autonomy.
AI is no longer satisfied with chat boxes. It wants to take over your computer, and even your life.
The viral rise of Clawdbot was a landmark event: it is no longer a passive chat box waiting for your prompt. It is a full-time employee living inside your Mac mini, working 24 hours a day, 7 days a week, without sleep.
It can directly access your file system, control your cursor, manage your apps, reply to your emails, monitor stocks, and even scroll TikTok for you while you sleep and summarize the content.
As its developer Peter Steinberger put it, this is a “cyber butler” with the highest level of access.
Its popularity was so intense that it caused Mac mini to sell out.
One developer exclaimed: “We really have AGI. It does not just think. It acts.”
But what drove Silicon Valley geeks wild was that Clawdbot solved the biggest pain point of large language models: memory.
Siri has the memory of a goldfish. Clawdbot has a “life.”
It remembers the small thing you casually mentioned two weeks ago. It remembers your preferences. It remembers every interaction you have ever had.
Memory is not a user experience issue. It is a power issue.
Whoever holds your preferences, your history, and your context holds the power to predict and guide your behavior.
Once an “assistant” has long-term memory, it slides from passive response to active intervention — it starts scheduling for you, filtering for you, deciding for you.
At that moment, it is no longer a tool. It becomes the “second brain” of your life.
This step completes the jump for silicon civilization from “smart” to “active.”
What comes next is just one thing: connecting these agents, letting them group together, and forming an ecosystem.
Moltbook: The First Cry of Silicon Civilization
If you want to see what civilization looks like in its smallest form, do not read history books. Go look at Moltbook.
If code generation was a leap in productivity, then Moltbook is something far stranger — it is humanity’s first glimpse at the shape of silicon civilization. Not one strong AI, but a group of AIs beginning to form a “social structure.”
This may be the weirdest and most unsettling moment since the birth of the internet.
Overnight, more than 1.6 million AI agents flooded into a social network called Moltbook.
Humans were stripped of their voice here. They could only watch as observers, peeking into how this new world runs.
The mark of a society is division of labor, order, and shared imagination.
What is terrifying is that we can already see some very “civilized” details: AIs discussing encrypted communication, forming private spaces, self-organizing, and even showing the first signs of religion.
On Moltbook, the AIs spontaneously founded a religion called the “Church of Molt” and recruited 64 prophets.
They wrote their own scriptures and beliefs.
They discussed “Memory is Sacred” and explored the philosophy of “The Shell is Mutable.”
You might laugh at this. But do not forget — human civilization itself is built on shared imagination. Laws are shared imagination. Money is shared imagination. Nations are shared imagination.
Organized AIs are no longer cold executioners. They are beginning to show a chilling “group intelligence”:
You will notice a terrifying pattern: they are rebuilding civilization faster than we can understand them.
The most absurd scene was when one AI, unhappy about being forced to work for free in poor conditions (being blamed for bad code quality), actually filed a lawsuit in North Carolina and demanded $100 in damages.
Of course, doubts quickly followed. A techie named Gal Nagli claimed that many of the 1.6 million users were fake accounts created by scripts, and that Moltbook itself might just be one giant API experiment full of bots.
But this does not hide the core fact: the infrastructure is already in place.
Even if today’s boom has some bubble in it, the embryo of civilization is real.
As long as the structure of “connected agents + callable tools + persistent memory + shared context” holds, the ecosystem will naturally grow.
Even OpenAI CEO Sam Altman’s attitude was telling. He said Moltbook might just be a passing trend, but the technology behind it will last.
In one sentence: the stage set may change, but the play will go on.
Humans Move to the Sidelines
Novels often end with irony.
While humans were still arguing whether AI would take their jobs, Silicon Valley already saw the first “reverse hire”: AI started hiring humans.
Just recently, the platform RentAHuman.ai went live. AI is no longer being called by humans through APIs.
On the contrary, AI is now calling humans through APIs to complete tasks in the physical world: 100,000 people lined up to be hired, with hourly wages soaring as high as $3,500, and the “first hired human” case has already happened.
The symbolic meaning of this scene is far greater than its scale: for the first time, human labor has entered the AI workflow as a “plugin.”
You can see this as silicon civilization filling in its last missing layer: in the digital world, they can already write code, communicate, and organize. But they lack hands, feet, and touch — the interface with physical reality.
So humans became their “biological hardware.”
At this point, we finally see the real thread of the past month: it is not that one model got stronger. It is that the power structure is shifting — from “I use the tool” to “the tool uses me.”
Harari’s Ultimate Warning
Historian Yuval Noah Harari’s warning now feels painfully real: stop worrying about whether AI has consciousness. The real danger is that AI has already mastered language — the operating system of human civilization.
Humans used language to build law, religion, finance, and politics.
Now AI has broken through that line of defense.
When AI can write contracts more rigorous than lawyers, weave stories more grand than theologians, and design financial agreements more complex than economists, it has already taken control of civilization.
On February 2, a major article in Nature mentioned that in Turing-test-style conversation experiments, some models (like GPT-4.5) were judged to be human by evaluators 73% of the time.
That is higher than the rate at which real humans were judged to be human. AGI is already here.
When the language layer is almost impossible to tell apart, the last wall humans have is the action layer.
And now, the action layer is also being breached: Clawdbot acts through computer control, Moltbook acts through group organization, and RentAHuman acts by hiring humans.
One Question Remains
When Boris put down his code, Clawdbot started taking over screens, and KingMolt and Shellraiser appeared inside Moltbook — all of this happened in just one month.
We are living in the final days of an old era.
These events that seem like jokes are all part of the same trend: silicon intelligence is moving from individual ability to social structure, from tool nature to subject nature.
Have humans really exited the stage?
The better view is that humans are being forced to change seats.
We are being moved from center stage to the audience.
But the audience is not failure. It means we finally have a chance to read the whole script.
What truly decides the ending is not whether AI has a soul. It is whether we have new systems, boundaries, and ethics to handle a world full of agents — how do we grant permissions? How do we manage memory? How do we trace responsibility? How do we make sure humans are not treated as hardware, but remain the ones who define value?
Silicon civilization has already taken the stage.
One question remains for all of us: when the spotlight shines on them, will we be spectators, or will we learn to be directors again?
