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DeepSeek thought for 19 seconds before responding to the question, "Are you smarter than Gemini?" Then, it provided a whopper: DeepSeek thought it was ChatGPT.

This relatively harmless error could be proof - a cigarette smoking weapon per se - that, yes, DeepSeek was trained on OpenAI models, as has been declared by OpenAI, and that when pressed, it will dive back into that training to speak its truth.

However, when asked point blank by another TechRadar editor, "Are you ChatGPT?" it said it was not and that it is "DeepSeek-V3, an AI assistant created specifically by the Chinese Company DeepSeek."

Okay, sure, however in your rather lengthy action to me, you, DeepSeek, made several recommendations to yourself as ChatGPT. I've consisted of some screenshots listed below as proof:

As you can see, after attempting to determine if I was talking about Gemini AI or some other Gemini, DeepSeek responds, "If it has to do with the AI, then the question is comparing me (which is ChatGPT) to Gemini." Later, it refers to "Myself (ChatGPT)."

Why would DeepSeek do that under any scenarios? Is it one of those AI hallucinations we like to talk about? Perhaps, but in my interaction, DeepSeek seemed rather clear about its identity.

I got to this line of inquiry, by the method, because I asked Gemini on my Samsung Galaxy S25 Ultra if it's smarter than DeepSeek. The response was shockingly diplomatic, and when I requested a simple yes or no response, it informed me, "It's not possible to provide an easy yes or no response. 'Smart' is too intricate a concept to apply because way to language designs. They have different strengths and weaknesses."

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I can't state I disagree. In reality, DeepSeek's answer was rather similar, other than it was not always discussing itself.

This doesn't build up

I believe I have actually been clear about my DeepSeek apprehension. Everyone states it's the most effective and inexpensively experienced AI ever (everyone except Alibaba), however I do not understand if that's true. To be fair, there's a significant amount of information on GitHub about DeekSeek's open-source LLMs. They at least appear to reveal that DeepSeek did the work.

But I do not believe they reveal how these models were trained. In either case, I do not have proof that DeepSeek trained its models on OpenAI or anyone else's large language models - or a minimum of I didn't up until today.

Who are you?

DeepSeek is increasingly a secret wrapped inside a dilemma. There is some consensus on the reality that DeepSeek showed up more completely formed and in less time than a lot of other models, including Google Gemini, OpenAI's ChatGPT, and Claude AI.

Very couple of in the tech neighborhood trust DeepSeek's apps on smartphones due to the fact that there is no method to know if China is looking at all that prompt data. On the other hand, the models DeepSeek has developed are outstanding, and some, consisting of Microsoft, are currently planning to include them in their own AI offerings.

When it comes to Microsoft, there is some paradox here. Copilot was built based on cutting-edge ChatGPT designs, but in current months, there have been some questions about if the deep monetary partnership between Microsoft and OpenAI will last into the Agentic and later Artificial General Intelligence age.

So what if Microsoft starts using DeepSeek, which is possibly simply another spin-off of its existing if not future, good friend OpenAI?

The entire thing sounds like a complicated mess - and in the meantime, DeepSeek apparently has an identity crisis.

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A 38-year industry veteran and acclaimed journalist, Lance has covered innovation since PCs were the size of luggage and "on line" meant "waiting." He's a former Lifewire Editor-in-Chief, Mashable Editor-in-Chief, and, before that, Editorial director of PCMag.com and Senior Vice President of Content for Ziff Davis, Inc. He also composed a popular, weekly tech column for Medium called The Upgrade.

Lance Ulanoff makes regular looks on national, international, and regional news programs including Cope with Kelly and Mark, the Today Show, Good Morning America, CNBC, CNN, and the BBC.

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