Proverbs as Lossy Compression
Why ancient wisdom spreads: analyzing proverbs through the lens of rate-distortion theory and cognitive constraints.
Blog
Insights on Databricks architecture, MLOps, data governance, and the intersection of information theory and platform engineering.
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The Compression Hypothesis
The central claim: meme fitness correlates with compressibility, following from rate-distortion theory applied to human-to-human transmission.
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Why Information Theory for Memes?
Motivating the use of Shannon's information theory as a framework for understanding cultural transmission and memetic evolution.
Recent Posts
Why Entropy Isn't Disorder
A common misconception explained: entropy measures uncertainty, not chaos. Understanding this distinction is crucial for applying information theory correctly.
Unity Catalog Migration Patterns: Lessons from the Field
After migrating dozens of enterprise Databricks workspaces to Unity Catalog, here are the patterns that consistently lead to success.
Building Production RAG Pipelines with Mosaic AI
A practical guide to implementing retrieval-augmented generation pipelines using Databricks Mosaic AI.