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Hackers and Painters

17 Cards·Added to Korva by @ruthkellan

New mediums are explored most intensely during their first generations, when novelty gives creators unusual energy.

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The original 1985 Macintosh succeeded because users never had to understand or prepare for the software.

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Premature design is as dangerous as premature optimization. Deciding too early what a program should do limits later discovery.

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Makers learn from masterpieces by reproducing how successful works were constructed, not merely by observing their results.

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A programming language should be a pencil for discovering designs, not a pen for recording decisions already made.

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Broken code is a sketch: debugging is not cleanup after creation, but part of programming’s creative process.

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Write programs for people to read, then let machines execute them incidentally. Readability serves collaborators and your future self.

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Rigid static typing fits fully predesigned programs, but conflicts with the exploratory, sketch-like way hackers actually work.

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Institutions rely on publications, standardized tests, and lines of code because they are easy to apply, despite loosely tracking achievement.

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Figure out programs while writing them through experimentation and debugging, instead of designing everything on paper first.

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AI shows how wrong starting assumptions generate huge research literatures. Predicate logic makes knowledge representation difficult.

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Intelligence and empathy are unrelated traits. Technical ability develops without empathy, and poor empathy is not unintelligent.

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Learn like a painter: build a rough version first, then improve it through successive refinements.

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