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Viewpoint: ChatGPT cannot achieve precise calculations other than 0 or 1

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On April 8th, it was announced that the main forum of the \”Artificial Intelligence Big Model Technology Summit Forum\” hosted by the Chinese Artificial Intellige

Viewpoint: ChatGPT cannot achieve precise calculations other than 0 or 1

On April 8th, it was announced that the main forum of the “Artificial Intelligence Big Model Technology Summit Forum” hosted by the Chinese Artificial Intelligence Society opened in Xiaoshan, Hangzhou today. At the forum, Huang Minlie, Associate Professor of Tsinghua University, Founder of Lingxin Intelligence, and National Outstanding Young Scholars, delivered a speech. Huang Minlie stated that ChatGPT has shortcomings and shortcomings, such as the inability to achieve mathematical calculations and symbolic reasoning, specifically manifested as the inability to achieve precise calculations other than 0 or 1. Because ChatGPT is essentially a language model, its ability comes from fitting training data; There is no explicit logical reasoning and judgment in its operating mechanism. In addition, ChatGPT also has issues with accuracy, security, and other aspects.

Viewpoint: ChatGPT cannot achieve precise calculations other than 0 or 1

I. Introduction
– Briefly introduce the topic of the article and the announcement of the “Artificial Intelligence Big Model Technology Summit Forum” in Xiaoshan, Hangzhou.

II. Huang Minlie’s Speech
– Briefly introduce Huang Minlie and his speech at the forum.

III. Shortcomings of ChatGPT
– Discuss the issues with ChatGPT including inability to achieve mathematical calculations and symbolic reasoning, lack of logical reasoning and judgment, and issues with accuracy and security.

IV. Potential Solutions
– Discuss potential solutions to address the shortcomings of ChatGPT including collaborations with other AI models and integrating mathematical and logical reasoning into ChatGPT.

V. Future Implications
– Discuss the potential future implications of improving ChatGPT and advancements in AI.

VI. Conclusion
– Summarize the main points of the article and emphasize the importance of advancing AI technology.
# On April 8th, the “Artificial Intelligence Big Model Technology Summit Forum” began in Xiaoshan, Hangzhou. During the forum, Huang Minlie, Associate Professor of Tsinghua University, Founder of Lingxin Intelligence, and National Outstanding Young Scholar, delivered a speech regarding ChatGPT’s shortcomings.
ChatGPT, a language model, has limitations when it comes to achieving precise calculations other than 0 or 1. Huang Minlie notes that the lack of explicit logical reasoning and judgment in its operation mechanism is a significant cause for concern. Additionally, issues with accuracy and security are further weaknesses of the model.
Fortunately, potential solutions exist to address these shortcomings. Collaboration with other AI models could help address the lack of mathematical and logical reasoning in ChatGPT. Integration of such reasoning into ChatGPT could greatly improve its capabilities.
The implications of improving ChatGPT and other AI models are substantial. Advancements in AI technology could significantly benefit numerous industries, improving efficiency and output across various fields.
In conclusion, it is vital to pursue advancements in AI technology, continually surfacing and addressing the shortcomings and limitations of such models as ChatGPT. By doing so, we could unlock the full potential of AI technology, leading to further advancements and improvements across all fields.

FAQs

Q: What is ChatGPT?
A: ChatGPT is a language model that has gained significant attention in the AI field.
Q: What are some issues with ChatGPT?
A: ChatGPT has weaknesses around mathematical calculations, symbolic reasoning, and logical judgment. Additionally, issues with accuracy and security have been identified.
Q: How can we address these issues?
A: Collaboration with other AI models and integrating mathematical and logical reasoning into ChatGPT are potential solutions to address the model’s limitations.

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