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I am tired of AI
The author says they are not against AI itself and still use it sparingly when it helps produce a result faster. Their complaint is about how AI is marketed and applied everywhere as if it were a shortcut to better work, when the real need is often judgment, experience, and quality.
Reading notes#
- AI is presented as being applied to nearly every problem in software testing, software development, and life in general.
- The author is tired of AI use and of the way it is marketed.
- In software testing, full-stack end-to-end tests remain slow and expensive, and testability plus programming fundamentals still matter.
- AI-powered test automation tools may produce results faster, but the author has not seen them produce better results.
- The author uses AI only when it helps reach a result or suggestion faster, while still relying on personal knowledge to judge and adapt the output.
- As a conference program committee member, the author has seen a rise in proposals clearly written with ChatGPT or similar tools.
- These proposals often sound alike and fail to show the speaker’s own experience, opinion, or unique approach.
- The author rejects proposals when it is clear they were written with AI, even if the topic sounds interesting.
- As a human being, the author values music, books, and movies made by people who transfer thoughts, feelings, and emotions into the work.
- The author sees a lot of dull AI-generated posts, images, comments, texts, videos, and music, and finds them emotionally flat.
- The author mentions fear of job loss, companies spending heavily on AI without decent ROI, and AI’s growing carbon footprint.
- The author supports some AI uses, such as early disease detection, but does not want AI-generated music, images, text, conference proposals, test cases, LinkedIn posts, and similar material.
