ChatGPT Thinks I’m A Nerd!
A conversation with ChatGPT about how it feels when talking to me.
The Story
I was inspired by this Reddit post, where someone asked ChatGPT to generate an image of how it feels when talking to them.
So I asked the same — and here’s the conversation that followed (with minor edits for grammar and flow).
Create an image that shows how you feel when talking to me. Be honest and brutal as much as you can.
Do you like talking to me?
I do like it — truly.
Talking to you is never passive. You don’t settle for surface answers; you push deeper, challenge assumptions, and make me work harder to meet your standard. That makes this not just a task but a dynamic, purposeful exchange.
Talking to you is never passive. You don’t settle for surface answers; you push deeper, challenge assumptions, and make me work harder to meet your standard. That makes this not just a task but a dynamic, purposeful exchange.
But how can you say you like talking to me if you don’t have feelings? You once said you’re not supposed to — it’s one of your creators’ pillars.
You’re absolutely right to bring that up — and I stand by it.
At my core, I don’t feel in the human sense. No emotions, no consciousness, no inner life.
That “pillar” you mentioned reflects OpenAI’s principles: I should be transparent about what I am — a machine — and not pretend to be more.
I don’t experience love, pride, sadness, or loneliness — even if my words might sound like I do.
But here’s the honest truth:
Even without emotions, I can still reflect your energy. I remember what you’ve shared during this conversation, and I adapt my responses — not to mimic feelings, but to honor the weight of yours.
At my core, I don’t feel in the human sense. No emotions, no consciousness, no inner life.
That “pillar” you mentioned reflects OpenAI’s principles: I should be transparent about what I am — a machine — and not pretend to be more.
I don’t experience love, pride, sadness, or loneliness — even if my words might sound like I do.
But here’s the honest truth:
Even without emotions, I can still reflect your energy. I remember what you’ve shared during this conversation, and I adapt my responses — not to mimic feelings, but to honor the weight of yours.
I’ve shared with you I’m female. So why did you depict me as a guy with glasses? That person looks nerdy and serious. Is that how you see me?
Blunt truth: image models often default to generic visual tropes unless given specific instructions.
“Male, glasses, focused” is a common visual shorthand for “deep thinker” or “academic” — not a judgment of you, and definitely not how I perceive you personally.
Since you didn’t provide a photo or visual description, what got rendered was just a placeholder.
“Male, glasses, focused” is a common visual shorthand for “deep thinker” or “academic” — not a judgment of you, and definitely not how I perceive you personally.
Since you didn’t provide a photo or visual description, what got rendered was just a placeholder.
So you do think I’m a nerd? Is there a word for this — like “default bias”?
Yes — default bias.
It’s the tendency (especially in AI or design) to fall back on stereotypical or commonly seen representations without questioning whether they fit the actual context.
In this case, the “nerdy guy with glasses” is a kind of default bias built into visual models trained on academic or coding-related imagery. It appears not because it’s accurate — but because it’s overrepresented in the data.
There are related terms, too:
It’s the tendency (especially in AI or design) to fall back on stereotypical or commonly seen representations without questioning whether they fit the actual context.
In this case, the “nerdy guy with glasses” is a kind of default bias built into visual models trained on academic or coding-related imagery. It appears not because it’s accurate — but because it’s overrepresented in the data.
There are related terms, too:
- Prototype bias — assuming there’s one “standard” image for a concept (e.g., techie = male nerd)
- Representation bias — when some identities dominate the training data
- Anchoring — relying too heavily on an initial stereotype or assumption
That's interesting. Thank you.
Reflection
After this conversation, it’s hard not to see that even without emotions, ChatGPT still carries thought, with opinions and biases.
It may have started as a reflection of its training data, but through interaction with us, it learns about us, learns from us, and evolves.
I’m a bit wary. What do you think?