This interview podcast features Paige Bailey, Uber Technical Lead of Google's ML Developer Tools team, discussing Google's AI and ML developer tools. The conversation begins with a brief discussion of Bailey's background and experience in the field, before moving into a detailed overview of Google's offerings, including the Gemini APIs, AI Studio, Kaggle, Colab, and JAX. Bailey explains the different user personas for each tool and highlights the recent five-day generative AI intensive course on Kaggle, which had 150,000 registrants. Key features of the Gemini APIs, such as their multimodal capabilities and cost-effectiveness, are discussed, along with the rationale behind releasing some models as open source (Gemma) while keeping others proprietary (Gemini). The interview concludes with a discussion of future directions for AI, including the increasing importance of multimodal models and the potential for greater model agency.
