Collecting likes on social media provides vast amounts of data that can be used to train AI models. This raises important questions about the potential for AI to predict user preferences before they even occur. As AI technology advances, the concern grows that these models may become overly reliant on social media data, introducing potential biases and limitations. However, the development of more sophisticated algorithms may eventually allow for a deeper understanding of human behavior, enabling more accurate predictions. Ultimately, it is crucial to address the ethical implications of collecting user data and ensure that AI models prioritize transparency, accountability, and respect for individual autonomy.