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Author(s): Xiongwei He, Fan-Shun Meng, Yanjing Su, Lijie Qiao, Shigenobu Ogata, Lei Gao
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The financial implications validate this direction. Google reported that AI features contributed to a 10% increase in search revenue, reaching $50.7 billion in Q1 2025. This isn't a failing experiment that might be discontinued. It's a successful product innovation that's generating substantial revenue while improving user experience. Google has every incentive to expand AI Mode and integrate its capabilities more deeply into standard search.
Git packfiles use delta compression, storing only the diff when a 10MB file changes by one line, while the objects table stores each version in full. A file modified 100 times takes about 1GB in Postgres versus maybe 50MB in a packfile. Postgres does TOAST and compress large values, but that’s compressing individual objects in isolation, not delta-compressing across versions the way packfiles do, so the storage overhead is real. A delta-compression layer that periodically repacks objects within Postgres, or offloads large blobs to S3 the way LFS does, is a natural next step. For most repositories it still won’t matter since the median repo is small and disk is cheap, and GitHub’s Spokes system made a similar trade-off years ago, storing three full uncompressed copies of every repository across data centres because redundancy and operational simplicity beat storage efficiency even at hundreds of exabytes.
代码里最“不明觉厉”的部分来了：