Reflections from the First AI Conference in San Francisco

The hosts analyze takeaways from the inaugural AI conference in San Francisco, discussing the importance of empirical evidence. Experimenting and iterating in AI leads to improved results. The rise of open source and custom foundation models in AI is explored. The use of ensembles in machine learning and highlights from the AI conference are discussed, including generative AI for speech.