Philosophy in the Context of Data and Heuristics

The conversation explores the relationship between philosophy and data, particularly the potential benefits of integrating mathematical modeling and machine learning into philosophical inquiry. The speakers emphasize that the nature of philosophical data differs significantly from that of mathematical data, suggesting that merely adopting mathematical techniques may not address the unique challenges posed by philosophical problems. They raise concerns that philosophical practice may need a distinct methodology that recognizes and standardizes its own data types. The speakers also reflect on the limitations of looking to machine learning as a model for human thought, stressing the need for a deeper understanding of how philosophical approaches can effectively engage with contemporary scientific developments.