GPTwitter is a novel social media platform developed by Akash Samant and colleagues that uses Large Language Models (LLMs) to generate personalized tweets based on users' like histories, maintaining the familiar feel of their existing social media bubbles. By sampling directly from the latent space, the platform creates tweets that incorporate various elements such as length, style, and topics, and adapts future content to user preferences through a custom example selector. Despite challenges with LLM consistency, the developers found value in leveraging the models' creative capabilities, embracing hallucinations to produce diverse and novel content. The platform aims to explore the intersection of AI technology and user-level personalization, fostering an innovative approach to social media interaction.