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ChatGPT will take people's jobs? Xiao Bing CEO Li Di: knowledge accuracy is worrying, but it can inspire each other.

Shulou Source: shulou.com Published: 2023-11-24 14:29:24 10月03日 Update

On the afternoon of February 8, the news of "Finance 2.0" sponsored by Sina Technology was launched today. The theme of this issue is "ChatGPT and" Experts Say,"Who Should We Believe?" The program invited Li Di, CEO of Xiaobing Company, Shou Chong, Managing Director of CCV, Founder Partner Capital, Duan Yitao, Chief Scientist of Netease Youdao, Yuan Jinhui, Founder and CEO of First-class Technology, to deeply discuss the cutting-edge technology and commercial potential of ChatGPT.

Xiao Bing CEO Li Di said, Xiao Bing used to be called Microsoft Xiao Bing, ChatGPT today just in Microsoft's ice operation engine online, China experience ice is still Xiao Bing.

Some people worry that GPT will take away human rice bowl, Li Di believes that ChatGPT can be understood by humans, express some reasoning ability, can write summary, can write some instructions, at least primary school students, middle school students, college students write normally. But he also said that insight often comes from mutual stimulation,"so, really want to get knowledge through ChatGPT, its accuracy is worrying, but when you communicate with it, you can get mutual stimulation." "

"Insight comes from further associations that arise after you see its answer, or something that you get after communicating with it, and its something is more of a primer. ChatGPT, he argues, is not so much a provider of knowledge or insight as the result of training in a pattern of behavior. "It allows you to train someone who doesn't have a lot of insight and has a certain amount of knowledge to answer questions in such a way that you don't think he has too many points. "

"When I give you so much reasoning, it actually makes you think I have a lot of knowledge. It's actually a system of behavior patterns, not a system of knowledge. "Li Di said.

He also said,"Sometimes ChatGPT is expected to give conclusions about non-knowledge problems, but in fact it can't give conclusions about non-knowledge problems, only to give you some facts it has collected or chewed." "

"Some of the answers it gives you are reference angles, or what you can interpret as references, what are relevant to your question. Other things are also related to the question you want to think about. I give you these references. It seems that I have answered your question, but in fact I have not given you a conclusion. In the end, you have to judge for yourself. This is very smooth, indeed very smooth. Li Di said that in fact, people can sometimes jump out of this answer, and in fact, objectively, it is correct not to give a conclusion.

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