Creating a Large Language Model of a Philosopher

Understand

Can large language models be trained to produce philosophical texts that are difficult to distinguish from texts produced by human philosophers? To address this question, we fine-tuned OpenAI's GPT-3 with the works of philosopher Daniel C.

• Dennett as additional training data.
• To explore the Dennett model, we asked the real Dennett ten philosophical questions and then posed the same questions to the language model, collecting four responses for each question without cherry-picking.
• We recruited 425 participants to distinguish Dennett's answer from the four machine-generated answers.