This podcast episode explores the importance of open source models in advancing AI research and innovation, highlighting Mistral as an example of an open model provider. The speakers discuss the progress made in AI through the free flow of information in the open source community, emphasizing the value of openness and collaboration. They also discuss the contribution of open source models to safety and regulation, advocating for independent evaluation of product safety through strong open source models. The debate surrounding the regulation of open source models and applications is discussed, emphasizing the need for clarity and understanding. The future of cutting-edge language models is explored, with a focus on increasing data efficiency and reasoning capabilities. The speakers also touch on the future of generative AI and video generation, highlighting the complexity and computational challenges associated with generating videos. The use of diffusion models and the role of tokenization and transformer architecture in video generation are discussed. The impressive capabilities of the Sora model in generating long-form videos are highlighted, along with the challenges of generating AI video at scale. The potential benefits of using long contexts in video generation and understanding are also explored.
