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

This apparently innocuous error might be evidence - a smoking gun per se - that, yes, DeepSeek was trained on OpenAI designs, as has been declared by OpenAI, and that when pressed, it will dive back into that training to speak its reality.

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

Okay, annunciogratis.net sure, but in your rather prolonged response to me, you, DeepSeek, made numerous references to yourself as ChatGPT. I have actually 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 responds, "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 situations? Is it one of those AI hallucinations we like to talk about? Perhaps, orcz.com however in my interaction, DeepSeek appeared quite clear about its identity.

I got to this line of query, 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 asked for a simple yes or no response, it informed me, "It's not possible to give a simple yes or no answer. 'Smart' is too complicated an idea to apply in that method to language designs. They have different strengths and weak points."

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I can't state I disagree. In reality, DeepSeek's answer was quite comparable, except it was not always speaking about itself.

This doesn't accumulate

I think I have actually been clear about my DeepSeek uncertainty. Everyone says it's the most powerful and cheaply trained AI ever (everyone other than Alibaba), however I don't know if that's real. To be reasonable, there's a remarkable amount of detail on GitHub about DeekSeek's open-source LLMs. They at least appear to show that DeepSeek did the work.

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

Who are you?

DeepSeek is progressively a mystery covered inside a quandary. There is some agreement on the truth that DeepSeek showed up more totally 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 community trust DeepSeek's apps on mobile phones because there is no other way to understand if China is taking a look at all that prompt information. On the other hand, the models DeepSeek has built are outstanding, and some, consisting of Microsoft, are currently planning to include them in their own AI offerings.

In the case of Microsoft, there is some paradox here. Copilot was constructed based on innovative ChatGPT models, however in recent months, there have been some concerns about if the deep financial partnership between Microsoft and OpenAI will last into the Agentic and later on Artificial General Intelligence period.

So what if Microsoft begins utilizing DeepSeek, which is potentially simply another spin-off of its current if not future, buddy OpenAI?

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

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A 38-year market veteran and acclaimed journalist, Lance has covered innovation since PCs were the size of suitcases and "on line" suggested "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 also wrote a popular, weekly tech column for Medium called The Upgrade.

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

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