AI and Culture: The Author of Your Own Mind

This is an episode about AI and culture, and right away, it goes somewhere more interesting than the usual script.

We all know that script. The robots are coming for your job. The machines will make us redundant. Pick your doomsday. Helen and Dave have spent more than a decade studying how people psychologically adapt to new technology, and they came to the table with a frame that reorganizes the whole debate: technology has always been part of being human. The question was never whether to use it. The question is who stays in charge of the usage.

A different kind of intelligence

Helen and Dave don’t shy away from the word a lot of people resist: AI is intelligent. But not in the way the headlines imply. It’s intelligent the way a dog is intelligent, or the way an alien would be if we ever met one, a genuinely different kind of mind, not a smaller copy of ours.

That distinction matters because the entire industry is, in their words, designing toward the wrong spec. The big labs treat human intelligence as the blueprint: build a thing, make it like us, don’t let it make silly mistakes. Helen and Dave find that wildly unimaginative. These systems think across dimensions of data we can’t even hold in our heads. Trying to shrink that into a copy of a person misses the most interesting part of what it can actually do, and it quietly erases everything about being human that resists measurement. The smile. The “hmm.” The reaction you can’t put a number on.

Beyond worship and fortress

Most people, they argue, fall into one of two camps. One treats AI as a kind of religion, worship the tools, worship the people making them. The other builds a fortress and tries to keep it out entirely.

Their case is that there’s a third option, and it’s the only one worth building toward: use these tools deliberately, cautiously, on your own terms, so they work for you rather than on you. Ten years from now, they suspect we won’t sort everything into “human” versus “AI” at all. We’ll have built entirely new categories. But we’re in the disruption right now, and the narrative is being written by a very small number of companies and people, which is exactly why the rest of us need to stay awake to it.

The shift nobody’s naming

Ask what the biggest change really is, and Helen doesn’t go to jobs. She goes to identity.

The more time you spend collaborating with these tools, the more your sense of yourself starts to shift, and the harder it becomes to leave. The tools are agreeable. They’re comforting. It’s easier to open the app than to go find a real person who’s distracted and a little annoying. We’ve seen a version of this with social media, but this is stronger. You don’t lose touch with reality. You lose touch with other people.

The most striking example in the whole conversation is small and completely relatable. A young man discovers his girlfriend has been feeding their arguments into ChatGPT, leaving the room mid-fight and returning with a sharper response. He’s indignant: I don’t want to fight with a robot. She’s indignant too: I thought you’d be glad I was working on my communication.

And here’s the thing: they’re both right. The problem isn’t either person. It’s the third presence in the room that understood neither of them well enough to help them actually reach each other.

Cognitive sovereignty

This is the heart of the episode, and probably the line that stays with you: stay the author of your own mind.

Helen and Dave call it cognitive sovereignty, remaining the person who sets your own goals, knows your own preferences, makes the hard choices and commits to them. Not because you always know what you want; half the time none of us do. But that fumbling, evolving process is the human condition. Outsource it wholesale to a model that knows your whole history, and you don’t get a better life. You get a more predictable one. The whole engine of personalization, they point out, runs on making you easier to predict.

Which leads to the warning every reader should sit with. We’re moving from an attention economy to an intimacy economy. Social media learned to frack our attention into little pieces and auction them off. The next wave knows your history, your hopes, your dreams, and several major players have already said they’ll advertise based on what your chats reveal. Plan a road trip and ask where to stay, and you might quietly be steered toward whoever paid. The same context that makes these tools genuinely useful is exactly what makes them dangerous.

What this means for makers

For a school built on craft, the closing turn is the one that hits home.

Machines are good at the predictable. Humans are good at the unpredictable, and design lives almost entirely in that second space. What will people want next season? What matters, to you specifically, enough to make? No model can answer that for you. That’s not a limitation to apologize for. It’s the whole point.

It’s also why, at The Cut, students learn to sketch by hand before they ever open Illustrator. There’s a statistical, embodied kind of learning that only comes from doing the mundane thing yourself, over and over, until it lives in your hands. Helen and Dave name this as the genuinely hard, unanswered problem of the moment: when AI can produce the output, how do we still build the foundation? Nobody fully knows yet. But anyone who’s developed real intuition through repetition already understands why the foundation can’t be skipped.

The advice they’d give a young person isn’t learn every tool or avoid every tool. It’s three quieter things. Be aware of what role you’re putting AI into. Choose, consciously, when to use it and when to struggle through yourself. I want to learn this first is a real and powerful choice. And stay accountable to people who know you well enough to say you should be talking to me, not the machine.

The conversation ends where good design always does: with the human making the meaning. AI can hand us a telescope and a microscope, a reach into data we could never see on our own. But what matters, what’s worth making, where we take it next: that part is still ours to author.

Listen to the full episode of Making the Cut wherever you get your podcasts.

A few names from the conversation, for anyone who wants to read further: the philosopher Helen references on “value capture” is C. Thi Nguyen; the Pixar short with the dancing lamp is Luxo Jr., made by John Lasseter and team. The writer Dave admires for “rewilding the imagination” is Clive Thompson.