The Evolution of AI and Search Systems

AI applications and Google Search share a critical characteristic of operating as data-driven systems, making their behavior hard to predict based on logic alone. Historically, Google Search relied on a sophisticated rule-based system before the advent of large language models (LLMs) and deep learning. Both systems depend on user inputs and generate outputs that can vary significantly, leading to a level of non-determinism in their responses. Consequently, developers need to implement tools that allow them to monitor and understand these processes better, ensuring outcomes align with user expectations.