The hidden worries and difficulties behind the chaos of ChatGPT search

In today's era of rapid digital development, the application of artificial intelligence language models is becoming increasingly widespread, among which ChatGPT is undoubtedly a highly anticipated presence. However, its newly launched ChatGPT search has been embroiled in numerous controversies since its debut, with users continuously exposing many worrying issues such as the continued existence of hallucinations and the absence of news sources. These problems not only expose its own shortcomings, but also highlight its relatively backward situation in certain aspects, which is worth our in-depth analysis.

1、 Illusion problem: fatal flaw in accuracy

The illusion problem that appears in ChatGPT search can be considered a major flaw. The so-called illusion is that the model will generate some seemingly reasonable but actually baseless and untrue content. This is a serious flaw for a search tool that primarily provides information and knowledge assistance.

When users search for accurate answers on ChatGPT with a thirst for knowledge, they only receive responses based on fiction or erroneous cognition, which undoubtedly misleads users. For example, in querying historical events, it may fabricate non-existent details or provide incorrect interpretations of causal relationships between events.

2、 Message source does not exist: reliability questioned

Another key issue that has been criticized by users is the absence of a message source. A reliable search tool should be able to provide users with the source of the output content, so that users can further verify and explore relevant knowledge. However, ChatGPT search often fails to clearly indicate the source of the answers provided, making it difficult for users to judge the credibility of the information they provide.

In the era of information explosion, we attach increasing importance to the source of information, because only by clarifying the source can we evaluate its key elements such as authority and timeliness. When ChatGPT search cannot provide the source of the message, it is like a person telling a story without being able to explain its origin, and the audience will naturally doubt its authenticity. For example, in the latest progress query in the field of technology, it provides seemingly novel descriptions of technological applications, but lacks corresponding scientific research papers, authoritative reports, etc. as support, which makes it difficult for technology practitioners and enthusiasts to determine whether these contents are based on cutting-edge research or just speculative models.

3、 Analysis of the relatively backward situation

Compared to other mature search tools, these issues with ChatGPT search highlight its backwardness in certain aspects.

Firstly, in terms of accuracy, traditional search engines such as Google have established relatively complete information indexing and filtering mechanisms through years of technological accumulation and algorithm optimization. They can provide users with more accurate search results by crawling, analyzing, and categorizing a large number of web pages, and will clearly label the source of information for users to further verify. The illusion of ChatGPT search and the problem of missing message sources have created a significant gap in accuracy and reliability compared to these traditional search tools.

Secondly, in terms of user experience, mature search tools will provide personalized recommendations based on users' search history, preferences, etc. At the same time, the interface design is concise and clear, making it easy for users to quickly find the information they need. Although ChatGPT search has unique language interaction advantages, due to the aforementioned issues, users have to spend more time discerning the authenticity of the information they provide during use, which undoubtedly increases the user's usage cost and reduces the overall user experience.

Furthermore, from the perspective of industry development, the current artificial intelligence field has increasingly high requirements for data quality, model interpretability, and other aspects. Other advanced models and search tools are constantly exploring how to better address these issues, such as improving data quality by introducing manually annotated data, and developing interpretable algorithms to provide users with a clearer understanding of the model's decision-making process.

The impact of these issues exposed by ChatGPT search should not be underestimated. In the short term, it will lead to a decrease in user trust, which in turn will affect its market share and commercial application prospects. After experiencing multiple instances of inaccurate and unreliable information retrieval, users are likely to switch to other more reliable search tools.