This podcast episode explores the challenges and requirements of running AI applications, including the need to be more effective in development work and the emergence of AI as a tool for problem-solving. The conversation also covers topics such as monetizing open-source models, managing complex AI workloads, and the benefits of using orchestration tools like Ingest. The speakers discuss the challenges of productionizing AI and highlight the importance of understanding AI safety and the impact of AI on various industries. They also touch on the role of higher-level APIs and AIs in improving developer effectiveness. The limitations and possibilities of Language Model Models (LLMs) and the relationship between orchestration and AI infrastructure are also explored. Lastly, resource consumption in AI and engineering applications is discussed.
