Join us on this episode of HD/CAST as we delve into the hidden ideologies embedded within AI language models. We explore Meta's recent research, revealing how these models often mirror the worldviews of their creators, leading to biases in the information they provide. By analyzing how different LLMs describe political figures in English and Chinese, the study uncovers significant ideological differences influenced by language and regional development. We discuss the implications for users and developers, the challenges in achieving neutrality, and the importance of embracing ideological diversity in AI systems.