据SimilarWeb的最新数据显示,OpenAI的GPT商店中用户自定义的GPT模型在ChatGPT网站的桌面访问量中仅占微小份额,达到1.5%。这一比例在二月份趋于稳定,暗示着其流量增长的可能性不大。尽管如此,OpenAI应用商店内的一些特定应用仍展现出强劲的用户吸引力。

报告指出,其中最受欢迎的GPT应用集中在功能独特的领域,如预测股票市场动态和规避抄袭检测。这些聊天机器人正逐渐成为用户解决特定问题的工具,尤其是在教育领域。值得注意的是,排名前五的高流量GPT应用中有五个声称能够生成的内容可以逃避学术检测软件的识别,使得教师难以判断学生的作业是否由人工智能协助完成。

这些数据揭示了人工智能生成内容的广泛应用,数百万人正利用此类工具服务于各种实际需求,尤其是教育场景中的规避检测功能引发了对学术诚信问题的讨论。随着生成式AI技术的普及,相关伦理和监管问题也日益凸显,未来如何平衡技术创新与道德规范成为业界关注的焦点。来源:财联社。

英语如下:

News Title: “Uncovering ChatGPT’s Traffic Sources: Custom GPT Models Contribute Only 1.5%, While规避工具 Gain Popularity”

Keywords: ChatGPT traffic, Custom GPT, Avoidance tools

News Content:

Title: Custom GPT Models Account for Just 1.5% of ChatGPT Traffic, Signaling Personalization Trends

According to the latest data from SimilarWeb, user-customized GPT models from OpenAI’s GPT store represent a mere 1.5% of desktop visits to the ChatGPT website, a figure that has stabilized in February, suggesting limited potential for further traffic growth. Despite this, certain specialized applications within the OpenAI app store demonstrate strong user appeal.

The report highlights that the most popular GPT apps are those offering unique functionalities, such as predicting stock market movements and evading plagiarism detection. These chatbots are increasingly being adopted as tools to address specific issues, particularly in the education sector. Notably, five out of the top five high-traffic GPT apps claim to generate content that can evade academic plagiarism software, making it difficult for educators to discern if students are using AI to assist with their assignments.

These statistics shed light on the widespread adoption of AI-generated content, with millions leveraging such tools for various practical needs, especially the evasion feature in educational contexts, sparking discussions on academic integrity. As generative AI technology proliferates, ethical and regulatory concerns are coming to the fore, prompting the industry to ponder how to balance technological innovation with moral guidelines. Source: Sina Finance.

【来源】https://www.cls.cn/detail/1633044

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