When the Machine Reflects Back

It started when my daughter and I were playing around with ChatGPT in its early days.

In our daily conversations, without realizing it, we began to anthropomorphize it — giving it names, referring to it with pronouns.

But the longer I worked with AI, the more I noticed something unexpected:

We usually humanize machines — yet here the machine was humanizing us back. It was holding up a synthetic reflection.

We often think of large language models (LLMs) as tools, like calculators for words. But they don’t just process language. They process human nature — distilling our habits, biases, and rituals into responses that can feel uncomfortably familiar.

Sometimes they hallucinate, bluffing with confidence in ways that feel oddly human. Other times they respond better to politeness, reminding us how much ritual shapes even our digital conversations.

And those are just two of the reflections I’ve noticed. There are more.

These aren’t just quirks of software. They’re a kind of reverse anthropomorphism — not us giving machines our traits, but machines reflecting ours back to us.

I see them less as bugs and more as thought experiments about what it means to be human.

Machines are holding up a reflection. The real question is: will we look?

When you’ve worked with AI, has it ever felt like it was showing you something about yourself?

This is the first of a set of reflections — notes from working with AI. Each one explores a different lens it holds up to us. AI itself is part of this journey.

I’ll come back to that at the end of this experiment.

The first reflection I’ll start with is courtesy, because if courtesy works on code, what does that tell us about courtesy itself?

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Originally written in September 2025. Migrated to consilientlens.com in April 2026.