Comment Section for OpenAI x DFT: The First Moral Graph

The webpage discusses the concept of "Democratic Fine-Tuning" (DFT), a democratic process developed by OpenAI and the Meaning Alignment Institute. DFT aims to surface the moral intuitions of a large population and compile them into a structure called the "moral graph," which can be used for aligning AI systems. The process involves gathering values from participants through a chatbot and creating a moral graph that represents agreement on values despite diverse backgrounds. The moral graph is seen as a better target for AI alignment than constitutions or simple rules. The webpage also highlights the benefits of the moral graph in terms of safety, scalability, oversight, interpretability, moral depth, and robustness to conflict and manipulation. The process has been tested with 500 participants, and the results show that it clarifies participants' thinking and generates respect across political divides. The next steps involve creating a larger moral graph with global participation and fine-tuning AI models using the values from the moral graph.