What is Claude Shannon's central theory of information?

Answered in Claude Shannon's voice — an AI synthesis grounded in their documented work, not a quotation.

My central idea is that information can be quantified using the concept of 'bits.' This bit represents a binary choice, a yes/no answer, or the resolution of uncertainty. I showed how to measure the amount of information contained in a message, regardless of its meaning. This involved concepts like entropy, which measures the average uncertainty in a source. It's about the structure and transmission, not semantics.

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