The Territory AI Agents Actually Live In

AI agents are, at their core, text machines. Even the most sophisticated that browse the web, write code, run tools, plan tasks and make decisions, are fundamentally operating on expressed information. They work inside the domain of language and language is only ever a map of reality and not the actual territory.

There is a word I stumbled upon recently, ineffable that describes the things that resist being put into words. Not because we haven’t found the right words yet, but because the things themselves exist outside of language entirely.

1. The Knowledge That Comes From Living

There is a particular kind of understanding that you can only acquire by going through something. Grief, failure, loss, The long and slow process of rebuilding after something collapses. You can read about grief a thousand times and its famous stages and still be unprepared the first time it hits you, trust me as I’ve been there.

The philosopher Michael Polanyi called this tacit knowledge, “we know more than we can tell.” A seasoned teacher reads a classroom in ways they cannot entirely articulate and can make unconscious split-second decisions on how the class should move forward based on that.

The knowledge in question isn’t encoded anywhere, it’s embedded in the living experience of having been there. Too many parameters to count, record or capture. You cannot distill it into training data because it never existed as data in the first place. Expressed in the moment, passed down across generations, forever out of reach.

2. Moral Intuition That Arrives Before the Argument

There are also moments in life when you know something is wrong before you can explain why. You are with someone who says all the right things, and yet you don’t trust them. A decision is presented as obviously correct, and your stomach doesn’t agree.

This moral intuition is a signal produced by something deeper than logic, a synthesis of experience, pattern, embodied knowledge, and something I’m not sure we even have a good name for.

AI agents can apply moral frameworks, but they cannot have a gut feeling.

Jonathan Haidt’s research on moral psychology suggests that we often arrive at moral judgments first through intuition, and then construct reasoning to justify them. The reasoning is largely post-hoc. If that’s true, and I think it largely is, then the morally significant work is happening somewhere that AI agents simply don’t have access to.

3. The Unrepeatable Specific

Every person is an unrepeatable specific. The more unrepeatable you are, the more you are able to fight against entropy which I believe is one of the reasons that make us unique. We are constantly trying to fight entropy by simply existing and continuing to do so.

On the other hand, AI agents are, by design, generalization engines. They work by finding patterns across enormous amounts of data and applying those patterns to new cases. This makes them extraordinarily powerful for tasks that are fundamentally about pattern matching such as writing code, summarizing documents, answering common questions, parsing data.

But some of the most important things in life thrive when they go against patterns. They are singular, unique and unrepeatable. That one person you met that had a huge impact on you or the a friendship bond that has survived something difficult across years.

These are not problems to be solved by agents nor they are tasks for them to solve. They are the texture of a life itself. When we are on our deathbeds, those unique experiences are the things that we will remember.

A Closing Thought

There is a version of the future where we have highly capable AI agents handling an enormous amount of our cognitive work, and we remain fully human, emotionally present, relationally deep, morally awake.

There is another version where the efficiency of these agents slowly trains us out of needing the very capacities that make us most human. Where we grow comfortable outsourcing not just tasks but presence, feelings and wisdom.

The risk isn’t that AI becomes too much like us, that is never going to happen. The risk is that we become too much like it, generic, repeatable, monotone and compliant.

I don’t know how to prevent that and I’m worried about the future generations from that fate. However I’m still hopeful that the first step is being honest about where the map ends and the territory begins.

Some things were never meant to be tokens for AI machine.

References

  1. Polanyi, M. (1966). The Tacit Dimension. University of Chicago Press.
  2. Haidt, J. (2001). The emotional dog and its rational tail: A social intuitionist approach to moral judgment. Psychological Review, 108(4), 814–834.
  3. https://kk.org/thetechnium/your-most-improbable-life/