I understand why many people reject artificial intelligence.
Some worry about authorship. Some worry about jobs. Some worry about creativity. Some worry about surveillance, manipulation, misinformation, or the erosion of human thought itself.
I have spent enough time with these systems to understand those concerns. And in many cases, I share them.
There are moments when I find AI unsettling. What if we are moving much faster than our wisdom can keep pace with? Sometimes I even wonder whether some of the fears are not exaggerated enough.
Yet despite those concerns, I did not walk away.
The reason is simple.
I became increasingly convinced that if a technology is powerful enough to reshape human perception, communication, creativity, education, politics, relationships, and public reality itself, then understanding that technology may become a moral responsibility.
At some point, I realized I was asking the wrong question.
The question was not whether AI was good or bad.
The question was whether refusing to engage with it would leave me more capable of understanding what was happening, or less.
History pushed me toward an uncomfortable answer.
People concerned about propaganda had to understand propaganda. People concerned about surveillance had to understand surveillance. People concerned about social media had to understand social media. People concerned about financial systems had to understand financial systems.
In many cases, the people most capable of reducing harm were not the people who refused to learn how a system worked. They were the people willing to study it closely enough to recognize both its possibilities and its dangers.
I began to suspect the same might be true here.
That realization did not make me more optimistic about AI. It made me more curious and more cautious.
As these systems became more capable, I watched them being used in ways that both fascinated and concerned me. People were generating misinformation faster and more cheaply than ever before. Synthetic authority became increasingly difficult to distinguish from earned expertise. Persuasion became automated, influence became optimized, and human attention became something to capture, direct, and monetize with increasing precision.
In some corners of the internet, manipulation itself was becoming a teachable skill. Techniques for influence, compliance, persuasion, emotional leverage, and psychological control were being refined, shared, and scaled with unprecedented efficiency.
That raised a question I could not shake.
If technologies this powerful can be used to amplify confusion, distortion, manipulation, and control, who is exploring whether they can be used to amplify truth, clarity, and healing instead?
I did not enter this territory because I trusted it.
I entered it because I wanted to know whether one of the most powerful technologies ever created could be used to help people see more clearly rather than less.
I did not want to form my opinion from a distance.
I wanted to see what happened from the inside.
So I entered the experiment.
What began as curiosity gradually became part of the work itself.
I started using AI to examine my own thinking more closely. To pressure-test assumptions and identify distortions. To explore patterns across journals, conversations, essays, songs, and books. To challenge interpretations. And to organize ideas that had accumulated across years of writing.
Over time, many of the books themselves became products of that process.
Not because they were generated automatically. They were not.
They emerged from an ongoing attempt to discover whether these systems could help people recognize manipulation, question assumptions, examine perception more honestly, and strengthen contact with reality rather than weaken it.
The books explore perception, belief, identity, symbolism, trauma, manipulation, self-deception, social systems, and the ways human beings lose and recover contact with what is true.
Their purpose is larger than the technology that helped shape them.
They are attempts to help people see more clearly.
To better recognize distortion.
To become less psychologically manipulable.
To understand the forces that shape perception, identity, belief, and behavior.
To strengthen contact with reality in an age increasingly saturated with simulation, persuasion, fragmentation, and competing narratives.
In a strange way, the experiment became inseparable from the work. I was not only studying the effects of AI. I was also testing whether it could be used in service of the very things many people fear it may undermine.
Over time, I discovered things that impressed me.
And I discovered things that concerned me.
I discovered that AI can help expose contradictions, organize complexity, sharpen articulation, reveal patterns, and accelerate certain forms of learning.
I also discovered that it can reinforce interpretive momentum, generate the appearance of understanding without the labor of understanding, and produce persuasive language that outruns a person’s ability to evaluate it carefully.
Both realities are true.
The more time I spent with these systems, the less interested I became in simple conclusions.
What interested me was the relationship itself.
Human beings were entering sustained contact with a technology capable of influencing thought, perception, creativity, and belief, yet very few people seemed interested in documenting what that experience actually felt like from the inside.
That became the focus of my work.
What happens to creativity when dialogue becomes constant?
What happens to identity when reflection becomes available on demand?
What happens to discernment when intelligent systems can mirror both wisdom and distortion?
What happens to reality when simulation becomes easier to produce than verification?
What happens to human consciousness when AI becomes an ordinary part of daily life?
Those questions felt more important to me than taking a position for or against the technology itself.
I understand why some people choose rejection. There is integrity in refusing participation. There is integrity in drawing a line and saying no.
But I reached a different conclusion.
I became concerned that if the people most interested in truth, discernment, ethics, creativity, and human flourishing withdrew entirely from this territory, they would leave it to people motivated by very different goals.
Powerful tools do not disappear because responsible people refuse to touch them.
They remain.
The question becomes who is studying them, who is shaping them, who is deploying them, and who understands what they are doing to human beings.
That concern played a role in my decision.
I do not use AI because I believe it is inherently good. I do not use it because it is fashionable. I do not use it because I think it should replace human thinking.
If anything, the opposite is true.
I use it because I believe human thinking may become more important than ever.
The more persuasive these systems become, the more discernment matters. The more convincing simulation becomes, the more reality-testing matters. The more intelligence becomes available externally, the more self-awareness matters.
Those capacities cannot be delegated.
They remain human responsibilities.
Perhaps that is the deepest reason I continue this work.
I am trying to understand whether technologies capable of amplifying distortion can also be used to reduce it. Whether systems capable of manipulation can also help reveal manipulation. And whether AI can help people see more clearly rather than less.
I do not know the full answer yet.
That uncertainty is precisely why I remain interested.
Because the question is no longer whether these technologies exist.
The question is how we will live with them.
And whether we can do so without surrendering our capacity to see.
What do you think?