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DeepSeek thought for 19 seconds before answering the question, "Are you smarter than Gemini?" Then, it delivered a whopper: DeepSeek thought it was ChatGPT.
This apparently harmless error could be evidence - a cigarette smoking gun per se - that, yes, DeepSeek was trained on OpenAI models, as has been claimed 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 stated it was not and that it is "DeepSeek-V3, an AI assistant produced solely by the Chinese Company DeepSeek."
Okay, sure, however in your rather prolonged response to me, you, DeepSeek, made several recommendations to yourself as ChatGPT. I've consisted of some screenshots below as evidence:
As you can see, after trying to determine if I was discussing 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 talk about? Perhaps, however in my interaction, DeepSeek appeared rather 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 response was shockingly diplomatic, and wikibase.imfd.cl when I asked for a basic 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 apply in that method to language models. They have different strengths and weak points."
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I can't state I disagree. In reality, DeepSeek's response was quite similar, except it was not necessarily speaking about itself.
This doesn't accumulate
I think I have actually been clear about my DeepSeek apprehension. Everyone says it's the most powerful and cheaply trained AI ever (everyone other than Alibaba), however I do not understand if that holds true. To be reasonable, there's a significant quantity of detail on GitHub about DeekSeek's open-source LLMs. They at least appear to reveal that DeepSeek did the work.
But I do not believe they expose how these models were trained. In any case, I do not have proof that DeepSeek trained its designs on OpenAI or anyone else's large language designs - or at least I didn't up until today.
Who are you?
DeepSeek is significantly a mystery wrapped inside a problem. There is some agreement on the truth that DeepSeek showed up more fully formed and in less time than many other models, consisting of Google Gemini, OpenAI's ChatGPT, and Claude AI.
Very couple of in the tech community trust DeepSeek's apps on smartphones because there is no chance to know if China is looking at all that prompt data. On the other hand, the models DeepSeek has developed are impressive, and some, including Microsoft, are currently planning to include them in their own AI offerings.
In the case of Microsoft, there is some paradox here. Copilot was developed based upon cutting-edge ChatGPT designs, however in current 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 Artificial General Intelligence period.
So what if Microsoft starts using DeepSeek, which is potentially simply another offshoot of its present if not future, pal OpenAI?
The entire thing seems like a complicated mess - and in the meantime, DeepSeek apparently has an id.
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A 38-year market veteran and acclaimed journalist, Lance has actually covered innovation since PCs were the size of luggage and "on line" meant "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 kenpoguy.com Ziff Davis, Inc. He also wrote a popular, weekly tech column for Medium called The Upgrade.
Lance Ulanoff makes regular appearances on nationwide, 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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