Jay Dawani, CEO of Lemurian Labs, dives into the challenges of bridging hardware and software in AI development. He discusses how model size influences performance and hurdles in achieving artificial general intelligence. The conversation highlights the critical need for seamless integration between training and inference, as well as the complexities of AI deployment. Dawani also explores the future of supercomputing in AI and the importance of optimizing data representation, showcasing innovative strategies to enhance computational capabilities.