const int N = 1000;
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.
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Implementation requires evaluating your existing content and identifying opportunities to add structure without forcing it artificially. Look for places where you're listing multiple items in prose that would be clearer as bullet points. Find sections comparing options that would benefit from table format. Identify processes that could be broken into numbered steps. These changes often improve content quality while making it more AI-friendly.
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第一年，她们请了有国画功底的美术，按国画风格创作素材，视觉效果很美，放进游戏后才发现层次感不足，推倒重来。内测时，玩家反馈前期引导任务太长太繁琐，她们又整体推翻主线，重新做了一版。每一次推倒，都是时间与金钱的双重消耗。
这个判断在整个VC圈子里正在成为共识。Bain Capital Ventures的合伙人说了一句很有意思的话：投资物理世界的AI改造，过去十年一直是"大家觉得有道理但没人真的信"，到了2025年突然变成了所有人都在谈的事。数据印证了这个转变——2025年机器人领域的VC投资同比增长69%，达到222亿美元，预计2026年还会再翻一倍。。91视频对此有专业解读