This article discusses the potential shortcomings of using ChatGPT, a generative machine learning model based on GPT 3.5, for daily tasks. It explains why ChatGPT might often be a massive waste of time and resources and talks about alternative approaches to building NLP models that could bring the same results. It is argued that ChatGPT is prone to several serious shortcomings, such as hallucinations and security vulnerabilities, due to its architecture.
