The end of programming — Paul Dix
Creating software by writing code by hand and having humans review it is coming to an end. Why the Bun 1.4 release marks the end of programming as we’...
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Summary
Most people mistakenly treat AI like regular software, believing its bugs can be directly fixed and its behavior logically understood, but modern AI systems are fundamentally different.
Issues in AI stem mainly from vast, opaque training data rather than identifiable coding mistakes, making them unpredictable and difficult to control or debug precisely. Unlike traditional software, AI cannot reliably meet predefined specifications, and undesired behaviors can reemerge unpredictably even after retraining.
