DeepSeek Just Insisted it's ChatGPT, and i Think that's all the Proof I Need
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DeepSeek thought for 19 seconds before answering the concern, "Are you smarter than Gemini?" Then, it provided a whopper: DeepSeek believed it was ChatGPT.
This seemingly innocuous error might be proof - a smoking cigarettes weapon per se - that, yes, DeepSeek was trained on OpenAI designs, as has actually been claimed by OpenAI, and that when pushed, 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 which it is "DeepSeek-V3, an AI assistant developed specifically by the Chinese Company DeepSeek."
Okay, sure, but in your rather lengthy action to me, you, DeepSeek, made multiple referrals to yourself as ChatGPT. I've included some screenshots below as proof:
As you can see, after trying to recognize if I was discussing 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 scenarios? Is it one of those AI hallucinations we like to talk about? Perhaps, but in my interaction, DeepSeek seemed rather clear about its identity.
I got to this line of inquiry, 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 a simple yes or no response, it informed me, "It's not possible to provide a simple yes or no answer. 'Smart' is too complex an idea to use in that way to language models. They have different strengths and weaknesses."
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I can't say I disagree. In truth, DeepSeek's response was quite similar, other than it was not always speaking about itself.
This does not build up
I think I have actually been clear about my DeepSeek uncertainty. Everyone states it's the most effective and cheaply skilled AI ever (everybody other than Alibaba), but I don't know if that holds true. To be fair, there's a significant amount 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 think they expose how these designs were trained. In any case, I do not have proof that DeepSeek trained its models on OpenAI or anybody else's big language models - or a minimum of I didn't until today.
Who are you?
DeepSeek is significantly a secret wrapped inside a problem. There is some consensus on the fact that DeepSeek arrived 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 way to know if China is looking at all that prompt information. On the other hand, the models DeepSeek has developed are remarkable, and some, including Microsoft, are already preparing to include them in their own AI offerings.
When it comes to Microsoft, there is some paradox here. Copilot was constructed based on innovative ChatGPT designs, but in current 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 age.
So what if Microsoft starts using DeepSeek, which is possibly just another spin-off of its present if not future, good friend OpenAI?
The entire thing sounds like a complicated mess - and in the meantime, DeepSeek relatively has an identity crisis.
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A 38-year market veteran and award-winning reporter, Lance has covered technology because PCs were the size of suitcases and "on line" meant "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 likewise composed a popular, weekly tech column for Medium called The Upgrade.
Lance Ulanoff makes frequent appearances on national, global, and local news programs including Deal with Kelly and Mark, the Today Show, addsub.wiki Good Morning America, CNBC, CNN, and the BBC.
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