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DeepSeek thought for 19 seconds before responding to the concern, "Are you smarter than Gemini?" Then, it delivered a whopper: DeepSeek thought it was ChatGPT.
This apparently harmless error could be evidence - a smoking gun per se - that, yes, DeepSeek was trained on OpenAI models, as has been claimed by OpenAI, which 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 exclusively by the Chinese Company DeepSeek."
Okay, sure, however in your rather lengthy response to me, you, DeepSeek, made several referrals to yourself as ChatGPT. I've included some screenshots below as proof:
As you can see, after attempting to recognize if I was discussing Gemini AI or some other Gemini, DeepSeek responds, "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 scenarios? Is it among those AI hallucinations we like to speak about? Perhaps, however in my interaction, DeepSeek appeared quite clear about its identity.
I got to this line of questions, by the method, because I asked Gemini on my Samsung Galaxy S25 Ultra if it's smarter than DeepSeek. The reaction was shockingly diplomatic, and when I asked for a basic yes or no answer, it informed me, "It's not possible to give a simple yes or no response. 'Smart' is too complex a principle to use in that method to language designs. They have different strengths and weaknesses."
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I can't state I disagree. In fact, DeepSeek's answer was rather comparable, except it was not always discussing itself.
This doesn't accumulate
I think I've been clear about my DeepSeek suspicion. Everyone says it's the most powerful and cheaply qualified AI ever (everyone other than Alibaba), but I do not know if that holds true. To be reasonable, there's a remarkable quantity of information on GitHub about DeekSeek's open-source LLMs. They a minimum of appear to reveal that DeepSeek did the work.
But I do not believe they expose how these designs were trained. In any case, I do not have proof that DeepSeek trained its models on OpenAI or anyone else's large language designs - or at least I didn't till today.
Who are you?
DeepSeek is significantly a secret wrapped inside a problem. There is some agreement on the truth that DeepSeek showed up more totally formed and in less time than the majority of other models, including Google Gemini, OpenAI's ChatGPT, and Claude AI.
Very few in the tech neighborhood trust DeepSeek's apps on mobile phones since there is no method to know if China is looking at all that prompt information. On the other hand, the designs DeepSeek has actually developed are impressive, and some, consisting of Microsoft, are already planning to include them in their own AI offerings.
In the case of Microsoft, there is some irony here. Copilot was constructed based upon innovative ChatGPT models, however in current months, there have actually been some concerns about if the deep financial partnership in between Microsoft and OpenAI will last into the Agentic and later Artificial General Intelligence period.
So what if Microsoft starts utilizing DeepSeek, which is potentially simply another offshoot of its existing if not future, buddy OpenAI?
The entire thing sounds like a complicated mess - and in the meantime, DeepSeek seemingly has an id.
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A 38-year industry veteran and award-winning reporter, Lance has covered innovation given that PCs were the size of luggage and "on line" meant "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, utahsyardsale.com Inc. He also composed a popular, weekly tech column for Medium called The Upgrade.
Lance Ulanoff makes regular appearances on national, worldwide, and regional news programs consisting of Deal with Kelly and Mark, the Today Show, Good Morning America, CNBC, CNN, and the BBC.
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