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SQLite prototype for compressed text history developed with AI
Simon Willison outlined an idea for efficient storage of text revisions in SQLite by compressing the entire version history as a JSON array. He used ChatGPT 5.6 Pro to build experimental prototypes, which confirmed that the approach works well – 1000 simulated revisions of a document are compressed from 20.4 MB to 80.3 KB with Zstandard compression.
WHY IT MATTERS
It demonstrates how AI models can assist in solving concrete technical problems through prototyping and implementation. The approach could be relevant for systems that need efficient version control on large amounts of text.
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