ReasoningFlow: Discourse Structures for Understanding LLM Reasoning Traces
The episode discusses 'ReasoningFlow,' a paper that fundamentally shifts expectations for AI capability. It argues that AI models must be treated as supervised assistants, requiring transparency in their thought process. The focus moves from judging the final answer to verifying the structural soundness of the entire reasoning path, which is critical for high-stakes fields.