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

This error could be proof - a cigarette smoking gun per se - that, yes, DeepSeek was trained on OpenAI models, as has actually been claimed 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 said it was not and that it is "DeepSeek-V3, an AI assistant developed specifically by the Chinese Company DeepSeek."

Okay, sure, however in your rather lengthy action to me, you, DeepSeek, made numerous referrals to yourself as ChatGPT. I have actually consisted of some screenshots listed below as proof:

As you can see, after attempting to discern 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 refers to "Myself (ChatGPT)."

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

I got to this line of questions, by the way, since I asked Gemini on my Samsung Galaxy S25 Ultra if it's smarter than DeepSeek. The reaction was shockingly diplomatic, and when I requested for a simple yes or no answer, it told me, "It's not possible to provide an easy yes or no answer. 'Smart' is too complex a principle to use because way to language models. They have various strengths and weaknesses."

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I can't say I disagree. In truth, DeepSeek's answer was rather comparable, other than it was not necessarily discussing itself.

This does not accumulate

I believe I have actually been clear about my DeepSeek uncertainty. Everyone says it's the most effective and inexpensively trained AI ever (everyone other than Alibaba), however I don't know if that's true. To be reasonable, there's a tremendous quantity of detail on GitHub about DeekSeek's open-source LLMs. They a minimum of appear to show that DeepSeek did the work.

But I do not think they expose how these designs were trained. In any case, I do not have evidence that DeepSeek trained its designs on OpenAI or anybody else's large language designs - or a minimum of I didn't until today.

Who are you?

DeepSeek is significantly a secret covered inside a conundrum. There is some agreement on the reality that DeepSeek showed up more totally formed and in less time than most other designs, consisting of Google Gemini, OpenAI's ChatGPT, and Claude AI.

Very couple of in the tech neighborhood trust DeepSeek's apps on smart devices because there is no way to understand if China is taking a look at all that prompt data. On the other hand, the designs DeepSeek has built are impressive, and some, consisting of Microsoft, are already preparing to include them in their own AI offerings.

When it comes to Microsoft, there is some paradox here. Copilot was built based upon cutting-edge ChatGPT models, but in recent months, there have been some questions about if the deep financial collaboration in between Microsoft and OpenAI will last into the Agentic and later Artificial General Intelligence period.

So what if Microsoft starts using DeepSeek, which is potentially just another spin-off of its existing if not future, buddy OpenAI?

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

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

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

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