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An article explaining why floating point numbers are a leaky abstraction, covering precision limits, subtraction issues, and overflow/underflow, with references to Goldberg's classic paper.
The author uses personal experience to introduce a tutorial on architect thinking in the AI era, emphasizing that the ability to understand the underlying essence when abstraction leaks is more critical than tool usage, and shares two modes: assembly thinking and object-oriented thinking.