This episode discusses an article from UnboxedAI that explores the advancements in artificial intelligence reasoning. It examines the foundations of AI reasoning, including knowledge representation and inference mechanisms, and highlights challenges such as understanding context and common sense. The article also details techniques to improve AI's thought processes, like the chain-of-thought methodology and instruction finetuning. Finally, it discusses the future of AI reasoning, focusing on large language models and the potential for artificial general intelligence, while acknowledging the need for ethical considerations. Read the full article here