In the era of driven artificial intelligence, the demand for high-quality data by large language models (LLMs) like GPT-3 and BERT is increasing. However, manually sorting this data from the web is not only time-consuming and labor-intensive but also often difficult to scale. This poses significant challenges for developers, especially when large amounts of data are required. Traditional web crawlers and data scraping tools have limited capabilities in extracting structured data; although they can collect webpage data, they often cannot format it in a style suitable for LLM processing.

🛡️ Artists use the Kudurru tool to fight against AI web crawlers by sending false images to protect their works. 🌐 Kudurru is web-based and blocks web crawlers or sends misleading images. 🔒 Solutions are limited, calling for government intervention to ensure that AI training does not misuse artists' works.

News media such as The New York Times, CNN, and Reuters have started to block OpenAI's GPTBot web crawler, restricting it from accessing their content. GPTBot may scan web page content to help improve OpenAI's AI models, such as ChatGPT. The media is concerned about their content being used for AI training, but Google suggests that media content can be automatically accessed unless they choose to opt-out.

The New York Times has blocked OpenAI's web crawler GPTBot. OpenAI is unable to use The New York Times' content to train its AI models. The New York Times is considering legal action against OpenAI.

OpenAI has released guidelines for web crawlers, prompting websites to bolster their defenses. OpenAI's web crawler GPTBot may have been lurking on the internet for some time, raising concerns about its data collection practices. Website owners can disallow GPTBot's access via the robots.txt file, but not all crawlers adhere to these rules.