Self Clone
Self-cloning, in the context of artificial intelligence, involves creating digital representations of individuals or systems that mimic their behavior and characteristics. Current research focuses on developing sophisticated AI models, such as large language models (LLMs), to generate these clones, evaluating their fidelity through methods like Turing test variations, and applying them to diverse areas including misinformation analysis and skill enhancement. This work has implications for improving AI's ability to understand and interact with humans, as well as for developing new tools in areas like social network analysis and personalized learning.
Papers
April 22, 2024
January 23, 2024
October 23, 2023