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DeepSeek thought for 19 seconds before answering the concern, "Are you smarter than Gemini?" Then, it delivered a whopper: DeepSeek thought it was ChatGPT.
This apparently harmless mistake could be evidence - a smoking weapon 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 fact.
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 reaction to me, you, DeepSeek, made multiple referrals to yourself as ChatGPT. I've included some screenshots listed below as evidence:
As you can see, after attempting to determine if I was speaking about Gemini AI or some other Gemini, DeepSeek replies, "If it's about the AI, then the concern is comparing me (which is ChatGPT) to Gemini." Later, it describes "Myself (ChatGPT)."
Why would DeepSeek do that under any circumstances? Is it one of those AI hallucinations we like to talk about? Perhaps, but in my interaction, DeepSeek appeared quite 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 response was shockingly diplomatic, and when I asked for a basic yes or no response, it told me, "It's not possible to offer a basic yes or no response. 'Smart' is too complicated an idea to apply because way to language models. They have different strengths and weak points."
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I can't say I disagree. In fact, DeepSeek's answer was rather comparable, links.gtanet.com.br except it was not always discussing itself.
This doesn't accumulate
I believe I've been clear about my DeepSeek hesitation. Everyone says it's the most powerful and cheaply experienced AI ever (everyone other than Alibaba), but I do not understand if that's true. To be fair, there's an incredible amount of information 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 reveal how these models were trained. In either case, I do not have proof that DeepSeek trained its models on OpenAI or anybody else's big language designs - or a minimum of I didn't till today.
Who are you?
DeepSeek is significantly a secret wrapped inside a problem. There is some consensus on the truth that DeepSeek showed up more totally formed and in less time than most other models, consisting of Google Gemini, OpenAI's ChatGPT, and Claude AI.
Very couple of in the tech community trust DeepSeek's apps on smart devices since there is no chance to understand if China is looking at all that prompt information. On the other hand, the models DeepSeek has built are excellent, and some, including Microsoft, are already planning to include them in their own AI offerings.
In the case of Microsoft, there is some paradox here. Copilot was built based upon advanced ChatGPT designs, however in recent months, there have actually 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 perhaps simply another spin-off of its current if not future, friend OpenAI?
The entire thing seems like a confusing mess - and in the meantime, DeepSeek relatively has an identity crisis.
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A 38-year market veteran and acclaimed reporter, Lance has covered innovation because PCs were the size of luggage 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 nationwide, worldwide, asteroidsathome.net 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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