Beyond Thinking and Knowledge
Why Perspectives and Tastes Are the Last Human Frontier
There’s a moment I keep coming back to. Imagine, a friend of yours showed you two essays — one written by a graduate student after weeks of research, the other generated in forty seconds. Nobody in the room could tell which was which. We must laughed nervously, the way people laugh when something is genuinely unsettling but they haven’t figured out how to feel about it yet.
That moment crystallized something I’d been circling for a while: the age of AI didn’t make thinking cheap. It made thinking abundant. And abundance changes everything.
When something becomes abundant, it stops being the thing you compete on. Water is abundant — nobody builds a business on just having water. Information became abundant with the internet, and suddenly encyclopedias died not because they were wrong, but because being right wasn’t enough anymore. Now reasoning itself is becoming abundant. You can summon a detailed analysis of Keynesian economics, a competitive landscape breakdown, a legal memo, a research synthesis — all in moments, all competent, all correct enough.
So here’s the uncomfortable question: if thinking is abundant, what’s actually scarce?
Perspective. Taste. The willingness to see things a specific way and stake something on it.
But before we get there, we need to sit with something that most people skip past too quickly. Because there’s a version of this conversation that stops at the Turing test — at the question of whether you can tell the difference. And I think that’s the wrong place to stop.
Alan Turing’s original provocation was elegant: if a machine can converse indistinguishably from a human, does it matter that it isn’t one? For decades that felt like a distant philosophical puzzle. Now it’s a Tuesday afternoon. We’ve passed the Turing test not with a dramatic single moment but with a quiet, creeping ubiquity. The essays are indistinguishable. The emails, the poems, the business plans, the consoling text messages — all of it passes.
So what now?
Here’s what I think the Turing test actually revealed, by being solved: the test was never really about intelligence. It was about surface. It measured whether a machine could imitate the output of a human mind. And it turns out that’s the easy part. The hard part — the part the test was never designed to measure — is what generated the output in the first place.
When my friend wrote that essay, something happened before the first word appeared. Years of reading things that moved him for reasons he couldn’t fully explain. An argument he had with his father that never fully resolved. A specific afternoon in a library in Lisbon where an idea landed differently than it would have anywhere else. That accumulated, embodied, irreducibly personal history is the invisible architecture behind every sentence. The AI had none of it. And yet the sentences looked the same.
This is what makes the question so vertiginous: if the artifact is identical, where does the humanity live?
I’ve come to think it lives in three places that no output can capture.
The first is cost. Human creation is expensive in a way that matters. Not financially — I mean the cost of attention, of doubt, of the hours you spent not writing because you were afraid the idea wasn’t good enough. When a poet revises a line seventeen times, the final version carries the ghost of the sixteen drafts before it. That history of struggle is woven into the work even when it’s invisible. An AI produces the seventeenth draft first, which is efficient and also somehow beside the point.
The second is consequence. When I commit to a perspective — when I publish something, argue for something, build a company around something — I’m putting something at risk. My reputation, my relationships, my time, sometimes my money. That risk creates a different relationship to the idea. I’m not just outputting a position; I’m inhabiting it. The idea has hooks in me. A machine can generate a convincing argument for any position with equal fluency, which sounds like a superpower until you realize it means the machine has no actual position at all. Conviction without consequence is just cosplay.
The third, and maybe the most important, is desire. Not optimization toward a goal, but the strange, irrational, often self-defeating wanting that drives humans toward certain things and away from others. Why do I care about the future of advertising? Why does a researcher spend a decade on a problem that might not pan out? Why does anyone write poetry? There’s no clean answer. The desire is prior to the justification — it came first, and the reasons are assembled afterward. That originating want, with all its mystery and irrationality, is something no model has. Every output an AI generates is downstream of human desire — the prompts, the training data, the choices about what to reward. The desire itself always traces back to us.
I’ve been building Mindify AI for over a year now, and the most surprising realization wasn’t technical — it was almost philosophical. The founders who move fast aren’t the ones with the most information or even the sharpest analysis. They’re the ones with a point of view sharp enough to cut through ambiguity. They walk into a room and say “the future looks like this” with enough conviction that reality starts bending toward them — not because they’re always right, but because conviction creates motion where information alone creates paralysis.
Taste works the same way, though it’s even harder to talk about without sounding pretentious. Taste isn’t aesthetic preference — it’s not about liking jazz over pop. It’s a calibrated sensitivity to what matters, built from genuine immersion, failure, obsession, and the willingness to be wrong in public. A great product designer doesn’t just know design principles; they feel the wrongness of a misaligned button the way a musician feels a flat note. That feeling can’t be prompted into existence.
AI can tell you what most people find appealing. It cannot tell you what should build next.
Here’s what I think is actually happening, and why it matters. For the last century, competitive advantage in knowledge work came from access and processing — who had the information, who could analyze it fastest. AI collapses that entirely. The new competitive advantage lives one layer up: in curation, judgment, and the courage to have a stance.
Think about the people whose voices still cut through the noise. They’re not just summarizing — they’re arguing. They’re saying “here’s what everyone is missing.” They’re placing bets on aesthetics, on framings, on narratives that haven’t won yet. They have skin in the epistemological game.
And this, I think, is what the next generation of great builders, writers, and thinkers will look like. Not people who think harder or know more — AI will always out-think and out-know you. But people who’ve cultivated such a specific, richly textured way of seeing that their perspective itself becomes the irreplaceable input.
The paradox is that perspective and taste are developed through exactly the activities that feel least “productive” in a world optimized for output. Reading novels slowly. Sitting with an idea long enough to genuinely disagree with yourself. Traveling somewhere that breaks your mental model. Making things badly for years before making them well. Falling in love with a field for its own sake, not for what it signals.
These aren’t soft add-ons to a rigorous mind. In the age of AI, they’re the core competency.
So maybe the question worth asking yourself isn’t “how do I think better?” — AI has that covered. The real question is older and stranger and more personal than that: what do I actually believe, and what have I lived through that makes only me believe it this way?
The Turing test asked whether a machine could pass for human. We’ve answered that. The more interesting question — the one that will define the next decade — is whether humans will remember what made them worth passing for in the first place.
That answer, however small and particular it might seem, is worth more than you think.



