The utilisation of data sets to train artificial intelligence (AI) models, enabling them to comprehend and respond to various texts in different contexts and languages, is a well-known practice. An example of this is ChatGPT, which has undergone training using a vast publicly available text dataset. 

Additionally, DarKBERT, an LLM model, has been trained on an extensive dataset sourced from the dark web, including hacker forums, scam websites, and other criminal internet platforms. Due to the insatiable appetite of AI tools for data, any content posted online by individuals is considered fair game. Google has recently updated its privacy policy, explicitly stating that any online posts could potentially be used to train its AI tools and models.

Google has recently unveiled updates to its privacy policies on its website. The updated policy clarifies that Google utilizes user information with the aim of enhancing its services and creating new products, features, and technologies that bring benefits to users and the public at large. One notable application is the utilization of publicly available information to assist in the training of Google's AI models, enabling the development of innovative products and features such as Google Translate, Bard, and Cloud AI capabilities.

A review of Google's privacy policy history reveals the evolution of its content. In the past, Google's policy mentioned the potential use of user data for "language models," but it has since been updated to refer to "AI models." Additionally, the policy originally referenced Google Translate exclusively, whereas the current version expands the inclusion to encompass Cloud AI and Google Bard as well.

While many companies' privacy policies typically grant them the right to utilize data posted on their platforms, Google has taken a step further by reserving the right to collect and utilize data posted across the web. This data will be leveraged to enhance their services and train their AI models.

Where do AI models obtain their data from?

How do generative AI models such as ChatGPT acquire their data? These models rely on a technique known as web scraping, which involves extracting a substantial amount of data from various online sources. This data is then used to provide users with sentiment analysis and other valuable insights. However, it's worth noting that web scraping can sometimes infringe upon the terms of service of websites that explicitly prohibit such practices, despite its potential analytical research benefits.

In an effort to address rampant data scraping and system manipulation, Elon Musk has implemented restrictions on the number of daily readings allowed for Twitter accounts. Additionally, Twitter has also limited browsing access for users who do not have accounts. For further details, explore the transformative changes Elon Musk has brought to Twitter, including the new limitations on the number of tweets you can read.