How Claude Shannon Invented The Future

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Simplify a problem by stripping away extraneous data until only the issues making it interesting remain.
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John von Neumann was guarded around the clock on his deathbed so officials could protect sensitive information.
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Invert a difficult problem: assume the conclusion is true, then investigate the premises or consequences.
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Sometimes the truest way to honor someone is with humor, not grief, especially when play defined their life.
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Claude Shannon endured ridicule because he believed machines would transform the future and wanted to explore their limits early.
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Claude Shannon transformed information from a message-dependent concept into an abstract, measurable quantity represented by sequences of bits.
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Claude Shannon treated hobbies as experiments, simplifying problems until their most interesting essential form remained.
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Claude Shannon thought in ideas rather than words or formulas, removing obstacles until an approximate solution emerged, then refining it.
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A productive life can be serious play: follow genuine interest without treating work and play as opposites.
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Claude Shannon’s problem-solving resembled Michelangelo’s principle: remove everything nonessential to reveal the intended form.
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When an idea works, deliberately see how far it will stretch instead of waiting for someone else.
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Restate a question by changing its words and viewpoint to escape mental blocks and accumulated assumptions.
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Encircle your problem with existing answers to similar questions. Small conceptual jumps are easier than one large leap.
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Break overwhelming problems into small pieces, even when the path toward a solution looks indirect.
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Mechanical computation solved equations so complex that calculating them directly by hand was impractical or pointless.
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Bell Labs concentrated voice-encoding equipment and communications expertise in a setting unusually fertile for linking cryptography with information theory.
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Simple curiosity can produce valuable consequences that no one could predict in advance.
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Claude Shannon turned problems from one domain into reusable abstractions and analogies for later work.

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