This simple ChatGPT trick forces the AI to poke holes in its own logic

3 hours ago 5
ChatGPT logo (Image credit: Getty Images)

ChatGPT has a talent for sounding sure of itself. Ask it a question, and it delivers a polished, coherent response. But should you always trust it?

The tone promises authoritative answers, and the confidence is enticing, but it can also mask the fact that the answer is only one possible interpretation of the problem.

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Convince me

Imagine asking ChatGPT whether it is worth paying for an app that promises to make you more productive. The first response might highlight the benefits, pointing to time savings and useful features in a clear endorsement.

Ask ChatGPT to convince you otherwise, and the new answer has a very different tone. Issues of subscription fatigue, free alternatives, and the app's irrelevance to your actual life come up for the first time. It's no longer a slam-dunk decision.

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Consider a more personal scenario, like asking whether switching careers is a good move. The initial response may focus on new opportunities and the appeal of change. It can sound encouraging, almost motivational.

Ask the AI to convince you otherwise, and it begins to surface the uncertainties. ChatGPT might point out the financial risks, the difficulty of entering a new field, and the possibility that the current job has benefits that are easy to overlook. The second answer does not negate the first, but it adds weight to the side that was missing.

ChatGPT is capable of generating multiple lines of reasoning, but it tends to present one at a time. By default, it leans toward being helpful and aligned with the question being asked.

When you explicitly request the opposing view, you are not forcing it to invent something new so much as inviting it to reveal details that didn't fit with the model's inclinations.

Debate twin

What makes the phrase "convince me otherwise" so effective is how naturally it fits into a conversation. There is no need to structure a complex prompt or specify detailed instructions.

It is a familiar human move, the kind of thing you might say to a colleague when you want to pressure test an idea. ChatGPT responds in kind, shifting from presenting an answer to interrogating it. You start to see where the original reasoning relied on generalizations or skipped over complications.

There is a practical benefit to this approach, especially for everyday decisions. Many people use ChatGPT to think through purchases, plans, or personal choices. A single confident answer can be persuasive simply because it is well written. Asking for a counterargument introduces balance. It forces the system to acknowledge downsides and limitations before you act on its advice.

It also changes how you interpret what you are reading. The first response becomes one side of a discussion rather than the final word. Introducing disagreement, even from the same system, creates friction. That friction encourages you to slow down and weigh the options more carefully.

The approach is not perfect — ChatGPT can sometimes swing too far in the opposite direction. The value comes from comparing the two responses and noticing where they diverge.

The trick is expanding what ChatGPT offers as an answer. The AI lays out a position, then challenges it, giving you a chance to see the strengths and weaknesses side-by-side. A little self-criticism goes a long way to making AI seem less narrow in its usefulness.


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Eric Hal Schwartz is a freelance writer for TechRadar with more than 15 years of experience covering the intersection of the world and technology. For the last five years, he served as head writer for Voicebot.ai and was on the leading edge of reporting on generative AI and large language models. He's since become an expert on the products of generative AI models, such as OpenAI’s ChatGPT, Anthropic’s Claude, Google Gemini, and every other synthetic media tool. His experience runs the gamut of media, including print, digital, broadcast, and live events. Now, he's continuing to tell the stories people want and need to hear about the rapidly evolving AI space and its impact on their lives. Eric is based in New York City.

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