How Data Compression and Prediction Are Fundamentally Linked

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A technical blog post published by ngrok explores the theoretical relationship between data compression and prediction. The core argument is that compression algorithms are essentially prediction engines, as they work by anticipating patterns in data to reduce redundancy. This connection ties compression to information theory and machine learning concepts, where better prediction leads to better compression. The post has gained modest traction on Hacker News, attracting points and discussion from the developer community.

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