The post discusses the limitations and challenges of using Large Language Models (LLMs) as part of product solutions in software development. It highlights issues such as the lack of decomposability, explainability, security, privacy, and legal ownership associated with LLMs. The author argues that using LLMs goes against the general computing principle of breaking tasks down into manageable components and suggests that the current approach by large tech firms aims to maintain control and value over these products. Developers are encouraged to focus on creating explainable AI with testable components to ensure sustainable development.
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