Generative AI, particularly Large Language Models (LLMs), is much cheaper to operate than commonly believed, with costs decreasing significantly in recent years. A comparison of LLM pricing to web search APIs shows that LLMs can be an order of magnitude less expensive, challenging misconceptions about their operational costs and sustainability. The article aims to clarify these points for those who hold the opposite view.

The author advocates for using large language models (LLMs) in UI testing, highlighting their potential advantages over traditional methods, such as generating tests in natural language and executing them effectively. While acknowledging challenges like non-determinism and latency, the author believes that LLMs can enhance testing efficiency and allow human testers to focus on more complex tasks. Overall, LLMs could revolutionize the approach to UI testing by enabling more innovative testing strategies and improving accessibility.