Anton Troynikov, founder of Chroma and Stable Attribution, explores the intricacies of working with embeddings at scale, emphasizing their role in creating an AI-native way to represent data. He highlights the benefits of vector databases and draws parallels between the evolution of AI and the early days of aviation, suggesting that AI is undergoing significant transformations akin to historical technological advancements. Troynikov also discusses the inspiration behind releasing Stable Attribution, citing Disney's influence, and touches upon the potential applications of AI in biotechnology. Furthermore, he addresses current concerns around AI-related doomerism, articulating what genuinely worries him about the future of AI, while Nathan provides a potential doomer scenario.