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

This relatively harmless error could be evidence - a smoking cigarettes gun per se - that, yes, DeepSeek was trained on OpenAI designs, as has actually 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 stated it was not and that it is "DeepSeek-V3, an AI assistant produced exclusively by the Chinese Company DeepSeek."

Okay, sure, however in your rather prolonged response to me, you, DeepSeek, made multiple references to yourself as ChatGPT. I've included some screenshots below as evidence:

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

Why would DeepSeek do that under any situations? Is it among those AI hallucinations we like to talk about? Perhaps, however in my interaction, DeepSeek seemed quite clear about its identity.

I got to this line of query, by the method, since I asked Gemini on my Samsung Galaxy S25 Ultra if it's smarter than DeepSeek. The action was shockingly diplomatic, and when I asked for a simple yes or no response, it informed me, "It's not possible to provide an easy yes or no response. 'Smart' is too complicated an idea to apply in that method to language models. They have various strengths and weak points."

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I can't state I disagree. In fact, DeepSeek's response was quite similar, other than it was not necessarily talking about itself.

This does not build up

I think I have actually been clear about my DeepSeek uncertainty. Everyone says it's the most powerful and cheaply experienced AI ever (everyone except Alibaba), but I do not know if that holds true. To be reasonable, there's a significant amount of information on GitHub about DeekSeek's open-source LLMs. They a minimum of appear to show that DeepSeek did the work.

But I do not believe they reveal how these designs were trained. Either method, I do not have evidence that DeepSeek trained its models on OpenAI or anyone else's large language models - or a minimum of I didn't until today.

Who are you?

DeepSeek is progressively a secret covered inside a dilemma. There is some agreement on the truth that DeepSeek showed up more totally formed and in less time than many other models, consisting of Google Gemini, OpenAI's ChatGPT, and Claude AI.

Very few in the tech community trust DeepSeek's apps on mobile phones since there is no other way to understand if China is taking a look at all that timely data. On the other hand, the models DeepSeek has developed are excellent, and some, consisting of Microsoft, are already preparing to include them in their own AI offerings.

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

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

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

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A 38-year market veteran and acclaimed reporter, Lance has covered innovation given that PCs were the size of travel suitcases and "on line" indicated "waiting." He's a former 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 wrote a popular, weekly tech column for Medium called The Upgrade.

Lance Ulanoff makes regular looks on nationwide, bphomesteading.com worldwide, 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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