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

This relatively harmless mistake could be evidence - a cigarette smoking gun 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 fact.

However, when asked point blank by another TechRadar editor, "Are you ChatGPT?" it stated it was not which it is "DeepSeek-V3, an AI assistant developed solely by the Chinese Company DeepSeek."

Okay, sure, but in your rather prolonged reaction to me, you, DeepSeek, made numerous recommendations to yourself as ChatGPT. I've included some screenshots below as evidence:

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

Why would DeepSeek do that under any circumstances? Is it among those AI hallucinations we like to discuss? Perhaps, but in my interaction, DeepSeek appeared quite clear about its identity.

I got to this line of inquiry, by the way, due to the fact that I asked Gemini on my Samsung Galaxy S25 Ultra if it's smarter than DeepSeek. The action was shockingly diplomatic, and when I requested an easy yes or no answer, it informed me, "It's not possible to provide a basic yes or no response. 'Smart' is too intricate an idea to use because way to language models. They have various strengths and weak points."

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I can't state I disagree. In truth, DeepSeek's answer was rather comparable, except it was not necessarily talking about itself.

This does not add up

I think I've been clear about my DeepSeek skepticism. Everyone states it's the most effective and cheaply trained AI ever (everyone other than Alibaba), however I do not know if that's real. To be fair, there's a remarkable quantity of detail on GitHub about LLMs. They a minimum of appear to reveal that DeepSeek did the work.

But I do not think they reveal how these designs were trained. Either method, I do not have evidence that DeepSeek trained its models on OpenAI or anybody else's big language models - or at least I didn't until today.

Who are you?

DeepSeek is significantly a secret wrapped inside a quandary. There is some agreement on the fact that DeepSeek arrived more totally formed and in less time than the majority of other models, including Google Gemini, OpenAI's ChatGPT, and Claude AI.

Very couple of in the tech community trust DeepSeek's apps on smartphones due to the fact that there is no way to understand if China is taking a look at all that timely data. On the other hand, the designs DeepSeek has constructed are outstanding, and some, including Microsoft, are currently preparing to include them in their own AI offerings.

When it comes to Microsoft, there is some irony here. Copilot was built based upon innovative ChatGPT designs, but in recent months, there have actually been some concerns about if the deep monetary collaboration in between Microsoft and OpenAI will last into the Agentic and later on Artificial General Intelligence age.

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

The entire thing seems like a confusing mess - and in the meantime, DeepSeek relatively has an identity crisis.

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A 38-year market veteran and award-winning journalist, Lance has actually covered technology because PCs were the size of luggage and "on line" suggested "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 likewise 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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