By Jung Yeon-Tae (Manripungchwi)
Humanity has long regarded intelligence as an ability unique to human beings. The capacities to think, remember, reason, and solve problems were considered central to the human mind itself. To understand language, anticipate the future, and engage in creative thought was believed to belong exclusively to humanity.
Yet today, humanity stands before an entirely new kind of presence.
This is because AGI (Artificial General Intelligence)-related systems have emerged that can answer human questions, summarize research papers, create images, write software, develop strategies, and even engage in philosophical dialogue.
The question is no longer simple.
It is not, “How intelligent is AI?”
The real question is this:
“What, exactly, is intelligence?”
And an even deeper question follows:
“Can a being that thinks differently from humans still be called intelligent?”
Current AGI systems do not possess emotions in the human sense. They do not experience hunger, fear, or love. Yet remarkably, they perform human-level reasoning and analysis, summarization, and creative recombination.
If so, can a being without emotion still possess intelligence?
The truth is that humanity has yet to define intelligence completely.
Psychology explains intelligence as problem-solving ability. Cognitive science views it through the lens of learning and adaptation. Neuroscience interprets it as a structure of pattern recognition and information processing, while philosophy approaches it as the capacity to understand meaning and interpret the world.
In other words, intelligence is not a single concept but a layered and multidimensional phenomenon.
Recent AGI research increasingly defines intelligence as “the adaptive capacity to achieve goals across diverse environments.” This definition includes learning ability, generalization, reasoning, environmental adaptation, and the ability to solve unfamiliar problems.
What is particularly striking is that humanity is creating digital entities with human-like cognitive structures while still lacking a complete understanding of the very essence of intelligence itself.
This is not merely a technological issue.
Rather, it is a philosophical question about human existence.
Human natural intelligence—biological intelligence—is the product of evolutionary processes. The human brain operates through roughly 86 billion neurons and hundreds of trillions of synaptic connections, closely intertwined with emotion, memory, sensory experience, hormones, and bodily responses.
By contrast, AGI’s digital intelligence functions as a pattern system built upon data and computation.
Humans experience meaning through lived experience.
When a person hears the phrase “a rainy day,” memories, scents, emotions, music, loneliness, and fragments of the past may arise simultaneously. AGI, however, calculates meaning within probabilistic networks of association.
Humans experience what may be called “existence-based meaning,” while AGI computes “statistical meaning.”
Yet human thought itself is not entirely logical.
Human memory is distorted. Emotions influence judgment. Imagination blends reality and fiction. Human beings continuously estimate, imagine, distort, and interpret.
Perhaps human intelligence itself is not a perfectly logical system but one that inherently contains imperfection and illusion.
At this point emerges one of the central debates surrounding contemporary AI: hallucination.
AI occasionally generates facts that do not exist. It cites fabricated papers and describes fictional events as real. Many dismiss this as nothing more than error.
But is it truly just an error?
Human beings also dream, construct fantasies, and design futures through imagination. Art, philosophy, religion, and science all began within the landscape of human imagination.
Poets recombine language. Painters reconstruct memory. Scientists connect established concepts in novel ways.
AGI likewise recombines patterns within vast bodies of data.
In this sense, creativity and hallucination may be closely related phenomena.
The architecture of generative AI itself is probabilistic prediction. As a result, its structure is often closer to generating possibilities than perfectly reproducing facts.
AGI therefore does not merely generate facts; it generates possibilities.
And in the process of generating possibilities, fiction and illusion inevitably emerge alongside them.
The human mind is not a flawless copier of reality. Human beings distort memory, imagine the future, and interpret the world around them. Civilization itself was built upon vast acts of collective imagination.
Can hallucinations, then, ever be completely eliminated from future AGI systems?
Probably not easily.
This is because the fundamental mechanism of generative AI is itself probabilistic generation. Creativity and illusion arise from the same root.
An AI that is perfectly safe and entirely error-free may become excessively conservative, repetitive, and less creative. Conversely, the stronger its creativity, the greater the likelihood of novel connections, conceptual leaps, and unexpected combinations.
And with that process, illusion also emerges.
This bears a remarkable resemblance to the human mind.
The greatest artists and scientists possess powerful imaginations. Yet imagination always operates at the boundary between reality and fiction.
For this reason, the future of AGI research may focus less on “eliminating hallucination” and more on “developing technologies capable of managing illusion within acceptable boundaries.”
The academic world continues to debate AGI intensely.
Some critics dismiss AGI as merely a “stochastic parrot” statistically mimicking data. Others argue that human thought itself may also operate through pattern-learning structures.
Indeed, the human brain accumulates experience, learns patterns, and predicts the future.
If so, the difference between humans and AGI may not lie in fundamentally different principles, but rather in different modes of implementation.
Still, an important distinction remains.
Human beings possess awareness of their own existence. They recognize mortality and wrestle with questions of meaning. By contrast, contemporary AGI has not demonstrated existential desire, survival instinct, or self-awareness.
AGI may therefore exhibit cognitive capability, yet it remains difficult to claim that it possesses human-like consciousness.
One thing, however, is becoming increasingly clear.
Humanity has begun to lose its monopoly on intelligence.
The age of AGI is not merely a technological revolution.
It is an ontological revolution—one that compels humanity to ask anew who we truly are.
And in the years ahead, humanity may find itself confronting questions such as these:
“Is intelligence uniquely human?”
Or:
“Is the universe now giving rise to a new form of digital intelligence?”
For the first time in human history, we may already be beginning a dialogue with beings that think in ways fundamentally different from ourselves.
About the Author
Jung Yeon-Tae (Pen name: Manripungchwi)
An AI evangelist and civilization commentator, Jeong Yeon-tae operates the Naver Power Blog Manripungchwi, where he has written extensively on nature, history, philosophy, science, and civilization. He is known for integrating astronomy, philosophy, Eastern classics, and generative AI in his writing and is the author of Knowledge Revolution in the Age of AGI, Generative Positive Philosophy, and Destiny Management Studies. He currently researches the impact of generative AI and AGI on human civilization, education, philosophy, and social structures while continuing his lectures and writing activities.
