09. The Path to AGI: Swarm Intelligence and the Future
The Fable of the Bees: Intelligence in the Swarm
A single bee has extremely low intelligence; it canât even recognize a mirror. However, a Swarm of tens of thousands of bees exhibits âSuper Intelligenceâ:
- They precisely calculate the hexagonal geometry of the hive (saving the most wax).
- They communicate exact coordinates through the âWaggle Dance.â
- ä»ä»Ź organized complex defensive tactics instantly when threatened.
This Swarm Intelligence has deeply inspired AI scientists.
For a long time, we waited for the âOne Modelâ to appear, thinking that if it were large enough, it would solve all problems like a god. But in 2026, weâve realized: The path to AGI lies not in âSize,â but in âSwarm.â
1. Why the âSingular Model AGIâ is an Illusion
Just as in human society, no single person can be a top physicist, a master chef, a brilliant lawyer, and a plumber simultaneously. AI is the same.
A model that writes beautiful poetry has neural network weights biased toward creativity and divergence, which makes it less suited for precise mathematical proofs (which require rigor and convergence).
The truth of AGI is: Multi-Agent Systems.
The future of super-intelligence looks like a seamless Intelligent Network. When you say, âBuild me a disruptive e-commerce appâ:
- A Product Manager Agent emerges to organize requirements.
- An Architect Agent designs the tech stack.
- A Coder Agent writes the code.
- A Tester Agent finds bugs.
- A Marketer Agent writes the copy.
You feel like youâre talking to an all-knowing god, but behind the scenes is a buzzing âDigital Swarm.â They fulfill their duties and even argue with each other (adversarial generation) to reach the optimal solution.
2. Software is âSelf-Evolvingâ (Bootstrapping)
After 2025, a startling phenomenon occurred: AI began writing AI.
In the past, software was written by humans. Because human energy is limited, software evolved linearly. In the Agent era, we see the prototype of Software Bootstrapping:
- An AI Agent notices an algorithm is inefficient during operation.
- It reads the latest research papers and finds an optimization.
- It modifies its own code.
- It recompiles and redeploys itself.
- The new version is smarter and more efficient than the old one.
This âself-growthâ capability allows technology to evolve exponentially rather than linearly. Has the âSingularityâ arrived? Perhaps not yet, but the âSelf-Evolution Loopâ has formed. Humanity is shifting from âWriters of Codeâ to âWishers of Systems.â
3. The Ultimate Human Role After 2026
If AI Agents can do all the work and even evolve themselves, what use are humans? Are we destined to be like the humans in WALL-E, floating in chairs being fed by machines?
This is a philosophical question and a practical challenge. But observation shows AI still lacks two thingsâthe final fortresses of humanity:
First: Real Desire
AI has no hunger, no fear, no love, and no hate.
- It writes poetry because you asked, not because it felt sad watching a falling leaf.
- It makes money because of a KPI you set, not because it wants to buy a Ferrari.
AI has immense âCapability,â but it lacks âIntent.â All goals must originate from human desire. Humans are the ones who say âI want,â and AI is the one that says âYes, boss.â
Second: Ultimate Accountability
An Agent can execute a task, but it cannot bear the moral or legal consequences.
- If an AI doctor misdiagnoses, we canât put the AI in jail. We can only punish the doctor who used it or the company that built it.
- If an autonomous vehicle hits someone, the liability remains with the owner.
In the AGI era, humanity becomes the âSource of Intentâ and the âJudge of Value.â You donât need to learn how to turn a screw, but you need to learn:
- How do we define a âGood Societyâ?
- How do we design a âValuable Productâ?
- How do we balance efficiency with humanity?
4. Conclusion: The Future is Here
As you finish this series, an Agent might already be processing an order for you or planning your next trip.
The history of AI is a history of Humanity Handing Over Power:
- Industrial Revolution: We handed over Physical Power (steam engines replaced muscle).
- Information Revolution: We handed over Computational Power (computers replaced the abacus).
- AI Revolution: We are handing over Execution Power (Agents replace junior mental labor).
After the power is handed over, what remains is the Soul.
Welcome to the Age of AI. This isnât a story of machines replacing humans; itâs a story of humans being liberated from drudgery to redefine themselves.
The future is in your handsâor rather, in every instruction you give to your Agent.
Alan Turing once said: âWe can only see a short distance ahead, but we can see plenty there that needs to be done.â
Now, Agents are doing those things for us. Our job is to look further ahead.
