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DeepSeek believed for 19 seconds before answering the concern, "Are you smarter than Gemini?" Then, it delivered a whopper: DeepSeek believed it was ChatGPT.

This relatively innocuous error might be evidence - a smoking weapon per se - that, yes, DeepSeek was trained on OpenAI models, as has actually been declared by OpenAI, and that when pushed, it will dive back into that training to speak its fact.

However, when asked point blank by another TechRadar editor, "Are you ChatGPT?" it stated 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 prolonged action to me, you, DeepSeek, made numerous references to yourself as ChatGPT. I've included some screenshots listed below as evidence:

As you can see, after trying to discern if I was talking about Gemini AI or some other Gemini, DeepSeek replies, "If it's about 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 circumstances? Is it among those AI hallucinations we like to speak about? Perhaps, but in my interaction, DeepSeek appeared rather clear about its identity.

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

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I can't say I disagree. In reality, DeepSeek's response was rather similar, other than it was not necessarily discussing itself.

This does not include up

I think I've been clear about my DeepSeek skepticism. Everyone says it's the most powerful and cheaply experienced AI ever (everyone except Alibaba), but I don't know if that holds true. To be fair, there's an incredible amount of information on GitHub about DeekSeek's open-source LLMs. They at least appear to show that DeepSeek did the work.

But I do not believe they reveal how these designs were trained. In any case, I do not have proof that DeepSeek trained its models on OpenAI or anyone else's large language designs - or at least I didn't until today.

Who are you?

DeepSeek is progressively a mystery wrapped inside a conundrum. There is some agreement on the truth that DeepSeek arrived more fully formed and in less time than a lot of other designs, consisting of Google Gemini, OpenAI's ChatGPT, and Claude AI.

Very couple of in the tech neighborhood trust DeepSeek's apps on mobile phones because there is no chance to understand if China is looking at all that timely data. On the other hand, the models DeepSeek has actually developed are impressive, and some, including Microsoft, are already planning to include them in their own AI offerings.

In the case of Microsoft, there is some paradox here. Copilot was constructed based on cutting-edge ChatGPT models, but in current months, there have been some questions about if the deep monetary collaboration in between Microsoft and OpenAI will last into the Agentic and later on Artificial General Intelligence era.

So what if Microsoft begins using DeepSeek, which is possibly just another offshoot of its present if not future, pal OpenAI?

The whole thing sounds like a complicated mess - and in the meantime, DeepSeek seemingly has an id.

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A 38-year market veteran and award-winning reporter, Lance has covered innovation since PCs were the size of luggage and "on line" indicated "waiting." He's a previous Lifewire Editor-in-Chief, Mashable Editor-in-Chief, and, before that, Editor in Chief of PCMag.com and Senior Vice President of Content for Ziff Davis, Inc. He likewise composed a popular, weekly tech column for Medium called The Upgrade.

Lance Ulanoff makes regular looks on nationwide, international, and local news programs consisting of Cope with Kelly and Mark, the Today Show, Good Morning America, CNBC, CNN, and the BBC.

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