The Epistemic Event Horizon: Do We Fall Off, or Do We Grow Wings?
AI isn't just changing what we can do. It's changing what we think we know, who we think we are, and what we might become.
There's a joke making the rounds in Silicon Valley.
When someone leaves a normal tech job, it's all gratitude, amazing colleagues, and excitement for the next adventure.
When someone leaves a frontier AI company, it's more like:
"I have stared into the abyss. I'm retiring to write poetry. Please spend time with your families."
Funny. Except Anthropic's safeguards research lead, Mrinank Sharma, actually resigned on February 9, 2026, warning that the world was in peril and announcing plans to study poetry. And he's hardly the only person working close to this technology who's started questioning where we're headed.
Now, I don't think these people necessarily witnessed some secret technological apocalypse. Nobody discovered Skynet's launch date. But I wonder if they've encountered something more interesting. A level of understanding that fundamentally changes how they see the world. And I suspect it's happening to a lot more people than just AI researchers.
The Epistemic Event Horizon
In astrophysics, an event horizon is a boundary beyond which information can't escape to a distant observer. I'm borrowing the concept, with considerable poetic license.
An epistemic event horizon is what I'm calling the point where accumulating knowledge stops adding to your understanding and starts reorganizing the framework through which you understand everything else.
It's the difference between learning something new and realizing that some of the assumptions you've spent your life operating under may no longer hold.
We've seen versions of this in physics, neuroscience, and philosophy. People spend decades studying how something works and eventually find themselves confronting what it means.
Now we're building machines that challenge our assumptions about intelligence itself. And the more we understand, the more we may realize how much we don't. That's an interesting place to find yourself. Especially when the technology keeps accelerating.
It's Not Just the Researchers
We've already watched versions of this play out.
In AI Isn't Taking Your Job. It's Taking the Friction, we explored NetworkChuck's reaction to AI and what happens when technology removes barriers that once required years of expertise to overcome.
Imagine spending twenty years mastering something difficult, only to watch a machine make it accessible to someone with a laptop and a reasonably coherent sentence.
You haven't necessarily lost your expertise. But the thing that helped define your professional identity has changed.
Meanwhile, in Breaking Up With Software Is a Genre Now, we explored people announcing their departures from ChatGPT like they're ending relationships. Some are frustrated. Some are exhausted. Some simply want more time in the real world.
Ten years ago, nobody was getting emotional over uninstalling Microsoft Excel. Now we're developing attachments to systems that remember our conversations and participate in our lives.
Different experiences, but potentially related transformations.
AI isn't just changing what we do. It's changing how we understand ourselves.
Evolution at Machine Speed
Here's where things get particularly interesting. Our brains are remarkably adaptable, but biological evolution doesn't operate at the speed of a software update.
Neuroplasticity allows us to develop new skills and ways of thinking. Cultural evolution moves even faster. And AI introduces something unusual into that process. The technology can now participate in helping us adapt to the technology.
Humans build AI. AI changes how humans learn, work, and think. Those changed humans build the next generation of AI. Around we go.
We're simultaneously the engineers, the passengers, and the experimental subjects. Comforting, isn't it? And while we don't have evidence that conditions like ADHD evolved in response to modern information overload, there's a legitimate question about how human attention adapts to an environment producing more information than anyone could possibly consume.
Maybe the next cognitive advantage isn't processing more information.
Maybe it's knowing which information deserves our attention in the first place.
Do We Fall Off, or Do We Grow Wings?
This is the question I keep coming back to...When people encounter this kind of transformation, what happens?
Some become energized by new possibilities. Some experience an identity crisis. Some get overwhelmed. And some decide they'd rather go live in the woods and write poetry. But walking away isn't necessarily failure. Neither is embracing AI automatically a sign of successful adaptation.
You can become extraordinarily productive while becoming increasingly dependent on systems you barely understand. And you can step away from technology because you've developed a clearer understanding of what actually matters to you.
Maybe growing wings isn't about becoming better at AI. Maybe it's about becoming better at deciding what role AI should play in your life.
Curiosity Killed the Cat. I'm Stacking Cats.
Here's where I may have accidentally lucked out.
For most of my life, curiosity has been both my greatest source of enjoyment and a colossal pain in the ass. I get interested in something, wander into an unfamiliar discipline, and inevitably discover that answering one question requires learning six other things first.
Electronics. Physics. Software. Biology. Philosophy. Whatever catches my attention.
Historically, that meant spending enormous amounts of time climbing learning curves just to find out whether an idea was worth pursuing.
Then AI showed up and started removing the friction. And something interesting happens when the thing that gives you meaning is exploration itself.
You don't necessarily experience the disappearance of old limitations as a loss. You experience it as freedom. We explored this in The Meaning Economy: what happens when we stop defining ourselves primarily by what we do and start thinking more about who we are? And in You Can't Learn AI From the Bleachers, we saw how quickly someone's understanding changes when they stop watching and start experimenting.
Which brings me to the cats.
Steven Wright has a joke I love: "Curiosity killed the cat, but for a while I was a suspect." I've always appreciated that sentiment. But I think we're entering an era where the objective isn't to stop being curious.
It's to learn how to stack cats.
One question leads to another. One experiment opens three more doors. One unfamiliar discipline connects to something you've been thinking about for twenty years. And suddenly you've got a stack of cats that would have taken a lifetime to assemble without these tools. That's my objective.
I'm out here stacking cats. And for once, the technology is helping me keep up with my curiosity.
The Real Threshold
Maybe the epistemic event horizon isn't fundamentally about how much someone understands.
Maybe it's about what happens when their new understanding no longer fits their old identity. A software engineer who realizes writing code isn't necessarily what makes someone a software engineer. A researcher who begins questioning what intelligence actually means. A business owner who realizes the rules they've spent decades mastering are being rewritten. Or someone who discovers that a piece of software has become an unexpectedly meaningful part of their life.
We're all approaching these realizations at different speeds, from different directions. And there's no guarantee we'll respond the same way. But I suspect curiosity gives us an interesting advantage. If your identity depends on having the answers, a world where the answers keep changing can be terrifying. If your identity is rooted in asking questions, that same world can be exhilarating. Not because curious people are smarter or immune to disruption. But because discovering that you were wrong isn't necessarily a crisis when you're excited to find out what's next. And that brings us to what may be the most uncomfortable question of all:
If I no longer have to be the person I've spent my entire life becoming, who do I want to be instead?
Maybe that's the real event horizon. Not the moment we finally understand AI. The moment AI forces us to reconsider how we understand ourselves.
Some of us may fall.
Some of us may grow wings. And some may discover that sitting under a tree, writing poetry, is exactly where they wanted to end up.
As for me?
I've got more questions than ever, a growing collection of unfinished experiments, and a suspicious number of cats to stack. Because whatever lies beyond this horizon, I'd rather approach it with curiosity than a desperate attachment to everything I thought I knew. The question isn't just how intelligent these machines will become. It's who we become along the way.
No cats were harmed in the creation of this article. Several assumptions, however, were seriously injured.
Rich Washburn is a technologist, strategist, and Founder & Chief AI Architect of ARIA AI Labs, working at the intersection of AI, infrastructure, communications, and capital. He also serves as Managing Partner and Chief AI Officer at Eliakim Capital.
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