Compression is a topic tracked in our intelligence system with 5 linked articles.
Data-heavy critique of GitHub’s reliability and front-end bloat, arguing AI-driven features and corporate incentives hurt uptime and efficiency, backed by HAR/Pagespeed analytics and direct comparisons to GitLab and Codeberg.
Open-source Rust implementation of a patent-clean, BPC-style entropy layer for wavelet codecs (libwce) with end-to-end demos, quantified bitrate/PSNR data, and a lean 500-line core ready to wire into a larger pipeline.
Facebook’s Gorilla is an in‑memory, write‑through time‑series DB that stores billions of series with sub‑millisecond reads, up to 40k queries/sec, and heavy compression to fit 26 hours of data in RAM, scaling horizontally across clusters.
Open-source turbovec implements TurboQuant-style vector quantization (2-4 bit per coordinate) with zero training, delivering compact indices and competitive benchmarks versus FAISS across multiple datasets.
MCP output of 315 KB becomes 5.4 KB in Claude Code, implying ~58x compression.
ISO PDF spec adopting Brotli could reduce document sizes by about 20% with no quality loss.
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