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 discuss the importance of AI technology
– Introduce the topic of the article and the main points to be covered
II. The “Artificial Intelligence Big Model Technology Summit Forum”
– Discuss the purpose and importance of the forum
– Highlight any notable speakers or presentations
III. Huang Minlie’s Speech on ChatGPT
– Explain what ChatGPT is and its significance
– Outline Huang Minlie’s criticisms of ChatGPT
– Use examples to support Huang Minlie’s points
IV. ChatGPT’s Shortcomings
– Discuss ChatGPT’s inability to perform mathematical calculations and symbolic reasoning
– Highlight the reliance on training data and lack of explicit logical reasoning
V. ChatGPT’s Issues with Accuracy, Security, and Other Aspects
– Explain the potential consequences of ChatGPT’s accuracy and security issues
– Discuss other areas in which ChatGPT may have shortcomings
VI. Conclusion
– Sum up the main points of the article
– Offer potential solutions for improving ChatGPT’s shortcomings
VII. FAQs
1. What is ChatGPT?
2. Why is Huang Minlie critical of ChatGPT?
3. Can ChatGPT be improved to address these issues?
# **Huang Minlie Critiques ChatGPT’s Shortcomings at the Artificial Intelligence Big Model Technology Summit Forum**
Artificial intelligence (AI) technology has been transforming industries and changing the way we live and work. However, as with any new technology, it comes with its own set of challenges and shortcomings. One of the most prominent AI models in recent years is OpenAI’s ChatGPT (Generative Pre-trained Transformer), which has been widely used in natural language processing and other AI applications. At the “Artificial Intelligence Big Model Technology Summit Forum” hosted by the Chinese Artificial Intelligence Society on April 8th, 2021, Huang Minlie, the founder of Lingxin Intelligence, Associate Professor of Tsinghua University, and National Outstanding Young Scholar, criticized ChatGPT’s shortcomings and limitations in his speech.

The “Artificial Intelligence Big Model Technology Summit Forum”

The forum focused on the latest advancements in AI technology and its applications in different fields. It aimed to bring together experts, researchers, and practitioners from various domains to share their knowledge and insights. Besides Huang Minlie, notable speakers at the forum included renowned AI experts, government officials, and industry leaders. The forum provided a platform for discussing the challenges and opportunities of AI technology, highlighting new research ideas, and exploring potential solutions.

Huang Minlie’s Speech on ChatGPT

ChatGPT, a deep-learning-based language model, has been celebrated for its ability to generate coherent and contextually relevant text. However, Huang Minlie argued that ChatGPT has several shortcomings and limitations that need to be addressed. One of the most significant issues Huang highlighted was ChatGPT’s inability to perform mathematical calculations and symbolic reasoning, which is critical in many AI applications. Huang further explained that ChatGPT can only achieve precise calculations other than 0 or 1, which significantly impacts its overall efficiency.
Furthermore, Huang also argued that ChatGPT’s ability primarily depends on the data it has been trained on, as there is no explicit logical reasoning or judgment in its operating mechanism. Huang believes this reliance on training data limits ChatGPT’s potential and may lead to biases in its output. As a result, ChatGPT may not be suitable for applications that require robust and accurate results.

ChatGPT’s Shortcomings

Aside from ChatGPT’s inability to perform mathematical calculations and lack of explicit logical reasoning, there are other shortcomings of this model. Since it is pre-trained on a large amount of data, it may provide incomplete or inaccurate information for specific scenarios. As a result, the overall accuracy of ChatGPT may not always meet the required standards for some applications.
In addition, ChatGPT’s reliance on data creates security and privacy concerns. Some malicious entities may use this model to access confidential information or spread fake news or propaganda. Therefore, ChatGPT must be carefully monitored, and its use restricted to reliable sources.

Conclusion

In conclusion, Huang Minlie’s speech at the “Artificial Intelligence Big Model Technology Summit Forum” highlighted some of the major shortcomings of the ChatGPT language model. Despite its numerous benefits, ChatGPT’s limitations can significantly impact its overall effectiveness in certain applications. Future research must focus on addressing these limitations and finding ways to improve the accuracy and reliability of this model. By doing so, we can leverage AI to its full potential, offering innovative solutions to some of the most pressing problems in our society today.

FAQs

1. What is ChatGPT?
ChatGPT, also known as Generative Pre-trained Transformer, is an AI language model developed by OpenAI that uses deep learning to generate human-like responses.
2. Why is Huang Minlie critical of ChatGPT?
Huang Minlie argues that ChatGPT has several shortcomings and limitations, including the inability to perform mathematical calculations and lack of explicit logical reasoning, which can significantly impact its overall effectiveness in certain applications.
3. Can ChatGPT be improved to address these issues?
Yes, there is ongoing research to improve ChatGPT’s performance and address its current limitations. However, additional efforts are required to develop innovative solutions that improve ChatGPT’s accuracy, security, and efficiency while addressing the potential biases and inaccuracies in its output.