The Race to Train AI: Who’s Leading the Pack in Social Media?

A growing number of computer systems and data sets consisting of large, complex information have enabled the rise of artificial intelligence over the last few years. AI has the potential to be practical and profitable by being used in numerous applications such as machine learning, which provides a way for a system to locate patterns within large sets of data. 

In modern times, AI is playing a significant role in a wide range of computer systems, including iPhones that recognize and translate voice, driverless cars that carry out complicated manoeuvres under their power, and robots in factories and homes that automate tasks. 

AI has become increasingly important in research over the last few years, and it is now being used in several applications, such as the processing of vast amounts of data that lie at the heart of fields like astronomy and genomics, producing weather forecasts and climate models, and interpreting medical imaging images for signs of disease. 

In a recent update to its privacy policy, X, the social media platform that used to be known as Twitter, stated it may train an AI model based on posts from users. According to Bloomberg early this week, X’s recently updated privacy policy informs its users that the company is now collecting various kinds of information about its users, including biometric data, as well as

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