Future of Generative AI

Itamar expresses optimism about the ongoing evolution of generative AI, highlighting advancements in voice synthesis that are becoming indistinguishable from human speech. He discusses the potential for training large language models to optimize beyond immediate predictions, addressing the credit assignment problem in reinforcement learning. Additionally, he notes the rise of multimodal models and the exploration of CPU implementations to alleviate GPU shortages, suggesting a promising future for AI technology.