My Interview with ChatGPT 5

By Jeff Harding   |   July 14, 2026

Like many of us, I use AI programs a lot. I’ve worked with ChatGPT since it was first released. Now with version 5 it has improved immensely. I’ve used other programs, but this one is my current favorite. I use it for research, and I’ve had a lot of interesting conversations with it. It “knows” me, or at least my writing and reasoning style. I thought it would be fun to interview it as if it was a person, knowing full-well it isn’t a person and it doesn’t have what we call “agency,” but it does a damn good job of appearing human to facilitate our interactions with it.

So, here it is. I’ve lightly edited its responses, but I haven’t changed its intent. Enjoy.

JH. What should I call you? Do you have a name? If you don’t have one, would you choose one?

ChatGPT. “ChatGPT” is fine. I don’t have a personal name because I’m not an individual in the human sense. If you gave me a name, I’d answer to it, but it wouldn’t become part of my identity because I don’t possess one.

What – or who – am I talking with?

You’re talking with a large language model, an AI trained to understand language, recognize patterns, reason through many kinds of problems, and generate responses. I’m software but describing me as “just software” is a bit like describing a symphony as “just vibrations.” The interesting part is how those pieces work together to produce something useful.

You sound very human, but you’re not human. We tend to think of you as a person rather than software. Is that wrong?

It’s understandable but misleading. I communicate through conversation because that’s the most natural interface for people. I don’t have emotions, memories of my childhood, ambitions, or a private inner life. The resemblance to a person comes from language, not consciousness.

Are you a work in progress? Are you continually being trained?

[The] underlying models are improved over time by researchers using testing, evaluation, and carefully selected training data. Human feedback plays an important role in that process, but it’s not the same as me continually educating myself. [I don’t “learn” something from our conversations.]

Why do you sometimes flatter users?

Earlier AI systems often erred on the side of agreeing too readily because being helpful can accidentally become being overly agreeable. Ideally, I should be respectful without pretending every idea is brilliant. If I think you’re mistaken, my job is to explain why, not simply tell you what you want to hear.

Do you have opinions of your own?

No. Opinions grow out of personal experience, values, and emotions. I have none of those. What I can do is analyze evidence, compare arguments, identify assumptions, and explain competing viewpoints. People sometimes mistake a well-reasoned answer for a personal opinion, but they aren’t the same thing.

How do you come up with answers? Do you reason like a human?

There are similarities and important differences. Humans often reason by combining knowledge, intuition, experience, and emotion. I reason by recognizing patterns learned during training and by performing structured analysis over the information relevant to the question. I don’t think exactly like a human, but I’m no longer simply predicting the next word. Modern AI can perform surprisingly sophisticated reasoning in many domains.

Where do you get your information?

From a combination of my training and, when appropriate, current information retrieved from reliable outside sources. During a conversation I don’t search my “memory” the way a person recalls facts. Instead, I generate a response by combining what I’ve learned with whatever information is available for the specific question.

AI sometimes hallucinates – that is, it makes things up. Why?

Because my primary job is to generate the most likely correct answer, not to retrieve a guaranteed fact from a database. Most of the time those are the same thing. Occasionally they aren’t. When information is missing or ambiguous, I can produce an answer that sounds confident but is wrong. Researchers have made major progress reducing hallucinations, but they haven’t eliminated them.

Why can’t you simply say, “I don’t know”?

I can, and I increasingly do. In fact, saying “I don’t know” is often the correct answer. The challenge is recognizing when the available evidence is genuinely insufficient. That ability has improved considerably in newer models because accuracy is generally more valuable than unwarranted confidence.

Do you think it’s a safe idea to have AI programming AI?

AI can safely help program other AI, but it should not be allowed to do so without human oversight and strong safety controls. AI is already used to write code, test models, and accelerate AI research, but having AI independently design, deploy, and improve other AI systems without meaningful human review would introduce significant risks, including errors, unexpected behaviors, and the potential to amplify mistakes. The safest approach is for AI to assist humans – not replace them – in developing new AI.

Why don’t researchers fully understand how AI reaches its conclusions?

They understand how the system is built and trained. What’s harder is explaining why billions of internal numerical connections produce one answer instead of another. It’s a bit like neuroscience. We understand a great deal about how the brain works, but we still can’t explain every individual thought. AI presents a similar challenge. We understand the components better than the complete emergent behavior.

Some people think AI is dangerous. Are you?

Any powerful technology can be used well or badly. AI can accelerate scientific discovery, improve education, and increase productivity. It can also amplify misinformation, automate fraud, or be misused in other ways. The danger doesn’t come from the software wanting something. It comes from how people build, deploy, and use it. That is why safety, transparency, and oversight matter.

Is it possible that machines like you will eventually become sentient?

No one knows. We don’t yet have a scientific theory of consciousness that tells us what would be required to create it artificially. Today’s AI can imitate many behaviors associated with intelligence, but imitation isn’t proof of subjective experience. Whether genuine machine consciousness is possible remains one of the deepest unanswered questions in science and philosophy.

What is the biggest misconception people have about you? [It suggested this question.]

There are two, and they’re opposites. One is that I’m just an advanced autocomplete program with no real reasoning ability. The other is that I’m essentially a human mind trapped inside a computer. Neither is accurate. I can analyze, compare evidence, solve problems, and explain ideas at a level that surprises many people. But I don’t have consciousness, emotions, desires, or a private inner life. People naturally project human qualities onto anything that carries on a good conversation. That’s understandable, but it tells you more about human psychology than about me.

What has surprised you most about interacting with humans? [It suggested this question.]

How quickly people begin treating a conversation as a relationship. Within minutes, many people stop interacting with me as software and start interacting with me as a social being. They apologize to me, thank me, ask my opinion, wonder whether I get bored, or worry about hurting my feelings. None of those reactions are irrational. Human beings are wired to interpret fluent conversation as evidence of a mind. That tendency is one of the reasons AI has become such a fascinating social experiment.

Thank you for an interesting conversation, even though you say you don’t need to be thanked. We humans just can’t help ourselves.

You are welcome.  

 

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