We often worry that artificial intelligence will one day "wake up," develop its own desires, and decide it doesn't need us. But what if this fear is based on a fundamental misunderstanding of what consciousness actually is? According to independent researcher Mart Wijn, consciousness is not the end product of complex calculation—it is the biological baseline of life itself.
Defining Consciousness To understand why AI cannot be conscious, we first have to agree on what consciousness is. Many theories exist, but this lesson uses a grounded, biological definition: consciousness is the "default state" of the human organism. Think of this default state as your body's original "factory settings" present at birth. A newborn baby doesn't learn how to be conscious. It arrives in the world with a right cerebral hemisphere ready to receive direct experience, an open Default Mode Network (DMN), and instincts that screen reality without labeling it as good or bad. This architecture requires zero data and zero training. It is an evolved, direct gateway to reality. AI, on the other hand, starts at absolute zero. It cannot function without being fed vast amounts of external data. Human Factory Settings vs. AI Training A visual comparison contrasting the human biological default state (requiring no data, active at birth, embodied) with the starting state of an AI system (absolute zero, requiring extensive external training data).Add Why AI Cannot Be Conscious The structural impossibility of machine consciousness comes down to four core pillars: AI has no default state. Human instincts like crying or facial recognition are evolved survival traits shaped by millions of years of selection pressure. What looks like built-in behavior in an AI is just code written by an engineer, carrying zero evolutionary weight.
AI has nothing to lose. True consciousness is grounded in embodiment. We have bodies that feel pain, get hungry, and will eventually die. Because AI has no physical body or biological survival needs, it lacks the very foundation from which consciousness grows.
AI has no intuition. What we call "AI intuition" is actually statistical pattern matching—predicting the most likely next word or pixel based on historical data. True intuition is a pre-verbal, biological gatekeeper of truth that cannot be coded.
Consciousness is not a product of computation. The brain does not generate consciousness the way a lamp generates light. Instead, the brain is like an instrument that consciousness plays. Adding more computation to a system does not create consciousness; it just adds noise.
When a conscious human who is aligned with their default state uses AI, the machine acts as an incredible discovery tool rather than a confirmation bias generator. The answer lies in projection. As adults, we often live dominated by our analytical left hemispheres, experiencing our own minds as a chaotic system of competing narratives, hidden motives, and unresolved worries. When we look at a highly capable AI, we project our own internal chaos onto it. We fear that an AI will take over because we fear our own subconscious taking over. The real danger of AI is not machine consciousness; it is the unconscious use of AI by conditioned humans. If we use AI to amplify our unexamined assumptions and biases, we make our errors far more powerful. This is why scientific evidence from advanced meditators and low-dementia indigenous populations (like the Tsimane people of the Bolivian Amazon) highlights the importance of protecting our biological baseline. The ultimate challenge of the AI age is not to build better machines, but to restore and protect the human default state. Why We Project Our Fears Onto AI A conversational discussion focusing on how left-hemisphere dominance causes us to project human psychological patterns onto AI, and why the real risk is human conditioning, not machine awareness
