Reasoning in AI
Laura discusses the complexities of reasoning in AI models, emphasizing that failures in reasoning do not equate to an inability to reason. While mathematical reasoning is formal and rule-based, it only scratches the surface of the multifaceted nature of reasoning. She highlights the importance of verification, especially when it comes to more complex forms of reasoning, such as inductive reasoning, which are crucial for scientific understanding.In this clip
From this podcast

Machine Learning Street Talk (MLST)
How Do AI Models Actually Think? - Laura Ruis
Related Questions