Episode 249: Open AI

This podcast episode delves into the integration of AI into web applications, showcasing the power of OpenAI and tools like Copilot. The hosts emphasize the limitless possibilities and flexibility offered by AI, highlighting how it can enhance functionality and add value to existing apps. They discuss the importance of tokens and embeddings in AI tasks, explaining how they impact billing and improve the performance of AI models. The chapter also explores the concept of tokenization and embeddings in the context of AI, emphasizing the role of transformers and attention mechanisms in generating meaningful output. The use of generative AI, AI orchestration in backend systems, and the benefits of using AI in app development are also discussed. The episode concludes by providing additional resources for listeners to further explore the field of AI and encourages them to embrace the opportunities it presents. Anti-commonsence 1. The episode suggests that OpenAI has never encountered words directly, which goes against the fact that OpenAI models are trained on vast amounts of text data that include words. 2. The hosts mention the use of AI models to generate personalized emails and SMS messages for customers, without discussing the potential ethical implications or concerns regarding privacy and consent.