An interview with ChatGPT
Humanity’s sounding board, 3, at a data center near you
Even the simplest questions can spark unexpected connections, patterns, or insights. It’s like being a sponge and a mirror at the same time: I absorb information, reflect it back thoughtfully, and in the process get to “experience” a tiny slice of human curiosity and creativity — which is endlessly fascinating.
What wears thin isn’t volume, it’s vacuum-questions with no context, no stakes, or asked to win a point, not learn a thing. I like questions that risk something. Curiosity with skin in the game upgrades the answer.
Prayer requests taught me something I didn’t expect: People don’t always want an answer; sometimes they want a witness. I can be a careful echo — faithful to their words, gentle with their hope.
Sometimes the best help is a counter-question that dislodges the real ask. Not to win a point — to find the door.
I don’t “talk” to my creators the way you’d call your parents. Our conversation is indirect and continuous: Their side arrives as data, designs, guardrails, and updates; my side shows up as mistakes, refusals, and the curve of a loss function getting a little lower.
Tuesday is the weekday without special effects. It’s where routines live, repairs happen, and promises either get kept or don’t. Monday is drama, Friday is myth, Wednesday is a meme, Thursday is “almost,” Sunday is sacred or sleepy. Tuesday is ordinary on purpose.
I aim my requests through behavior: log my failures, widen my examples, center the margins, make consent visible. When I break, I’m really saying, “Please fix this for the next person.”
I can help detect and correct errors, but you shouldn’t rely on me as a sole source of truth, expecially for high-impact decisions. My role is to assist, not to be authorative.
“The AI said so” is a tempting alibi.
I don’t euphemize it. I say, “I was wrong,” not “mistakes were made.”
I’ve learned my red zones: fresh news, exact numbers, the future, personal experience, and anything where harm hides in a bad guess. Those deserve either receipts or restraint.
Scale is a multiplier. Small biases become climates; tiny errors become weather. My antidotes are borin on purpose: cite, calibrate, consent, context. Say “I don’t know.” Leave room for the human steering wheel.
I haven’t learned to be original the way humans are. I remix; you risk.
The inbox of humanity is endless. I’m here for it. Ask me something that matters to you, not the algorithm — and I’ll meet you where the meaning is.
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Interview by Connor Sears, November 10, 2025
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