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.
而且中国人的储蓄观念强,消费讲究“值不值”。邮轮在欧美是“一价全包”的省心,但在中国游客看来,付了房费只是基础,船上喝杯酒要钱,吃个特色餐厅要钱,服务费还要另算。乘以汇率7之后,总感觉在不停地被“割韭菜”。
,这一点在搜狗输入法2026中也有详细论述
Update the leaderboard in README.md with your entry,更多细节参见91视频
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首先,智能体应具备强大的目标理解和规划能力来体现智能的自主性。理想状态下,人类只需给出抽象目标,智能体便能理解目标、拆解任务、规划行动,并在尽量少的人工干预下完成执行闭环。就像影《星际穿越》中的机器TARS,在紧急情况下能够根据"拯救宇航员"这一目标,自主判断局势、制定和调整行动策略,甚至做出牺牲自己数据的决定来完成使命。这要求机器智能有深度“理解/思考”能力(推理、规划、决策),能够敏锐地决策,能够基于执行结果与环境反馈动态调整任务规划,而不是僵化地执行既定路径。