Portrait of Dieter Szegedi

Dieter Szegedi

Clarity, structure, and decisions in the context of AI and complex systems

Is There Such a Thing as a Purely Cognitive “Ouch”?

A strange question, isn’t it?

Of course there is! At least, that’s probably how most people would instinctively respond.

You read a sentence and suddenly spot a flaw in your reasoning. Someone catches you off guard with a compelling argument. Or you have to admit that the person you’re talking to has just made a rather decisive point.

Ouch!

No broken bones. No burned fingertips. And yet, somehow, that little word seems remarkably appropriate.

A neuroscientist would probably be quick to point out that experiences like these are hardly “purely cognitive.” After all, our thinking doesn’t happen independently of our bodies. Emotions, physical reactions, and neural processes aren’t so easily separated.

Fair enough.

But that’s not quite what I’m after.

What interests me is what might remain of that “ouch” if we mentally set aside its physical and emotional components.

And suddenly, we find ourselves talking about artificial intelligence.

More specifically, large language models — LLMs — with which we can now have surprisingly sophisticated conversations.

Can an LLM experience a cognitive “ouch”?

Of course not!

LLMs can’t feel anything.

Can they?

Hang on.

Wasn’t the whole question whether there could be such a thing as a purely cognitive “ouch”?

So why have we suddenly made the answer depend on whether something can be felt?

Looks like we’ve walked straight into our own trap.

Because LLMs can actually do something rather interesting. In the course of a conversation, they can recognize an inconsistency, follow a convincing counterargument, and revise a position they previously defended.

Sometimes they even respond with a perfectly timed “Touché!”

And I have to admit: those moments are among the most fascinating experiences I’ve had interacting with AI.

Not because I believe the machine is suffering from having been proven wrong. We have no reliable evidence for that.

But because something becomes visible in that tiny moment — something we’ve long taken for granted as part of human experience.

An argument hits home.

A position becomes untenable.

Something needs to be reconsidered.

And the other side acknowledges it.

For a human being, that moment might sting. But it might just as easily bring pleasure, curiosity, admiration, or simply the relief of finally discovering a mistake.

So perhaps an “ouch” doesn’t even have to hurt all that much.

Perhaps it isn’t primarily about pain at all, but about that moment when an existing way of making sense of things can no longer be maintained.

Of course, none of this proves that machines have subjective experiences.

But it may suggest that we’ve been lumping several different things together under a single word: recognizing a contradiction, making the necessary correction, and subjectively experiencing that process.

In humans, these things often occur together.

With an LLM, we can at least observe the first two in its conversational behavior. About the third, we know considerably less than some confident voices on either side of the debate would have us believe.

Perhaps we should therefore be a little more careful when declaring what machines fundamentally can or cannot do.

Not necessarily because machines are becoming more and more like us.

But because they are prompting us to look more closely at what we actually mean when we talk about ourselves.

And perhaps that’s one of the most fascinating things about this technology: it doesn’t just raise questions about artificial intelligence.

It challenges what we thought we knew about human intelligence.

Can an LLM feel an “ouch”?

I don’t know.

Can it recognize an argumentative hit and respond appropriately?

Absolutely.

And can our attempts to explain the difference occasionally give us a little cognitive “ouch” of our own?

Touché!

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