In this seminar, we will critically examine the social, political, and philosophical significance of Large Language Models (LLMs), the AI systems that power many widely-used applications today (such as ChatGPT, Claude, and Gemini). The course will have both practical and theoretical aspects. On the practical side, we will explore what it would mean to maximally integrate LLMs into research and writing in the humanities and social sciences. On the theoretical side, we will discuss the costs and benefits of doing so, both at the individual and societal levels. At the individual level, we will focus on contemporary debates about the similarities and differences between the architectures of LLMs and human minds, and consider the transformative effects of integrating LLMs into our cognitive lives. At the societal level, we will focus on what an increased reliance on LLMs for institutional decision-making would look like, in academia, law, politics, and beyond. How would this reshape not just how we answer questions in these domains, but how we formulate them in the first place?