47 pairs have negative mean SSIM: the source and target are anti-correlated, sharing less structure than random noise. The worst offenders:
I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:，这一点在快连下载安装中也有详细论述
DataWorks 数据集成在实时同步场景下，通过 并发度提升 与 单线程性能优化 双轮驱动，显著超越纯开源方案。系统基于 Flink CDC 架构，支持 MySQL、PostgreSQL 等数据库实例级变更捕获，结合分布式并行处理与高效序列化库，实现 PB 级数据的高吞吐、低延迟入湖。，这一点在下载安装 谷歌浏览器 开启极速安全的 上网之旅。中也有详细论述
First FT: the day’s biggest stories，更多细节参见同城约会