对于用户来说，传统的隐私保护手段大多是为了结构化数据而设计的。
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Verification, testing, and specification have always been the bottleneck, not implementation. Good engineers know what they want to build. They just cannot afford to prove it correct. If that cost drops to near zero, every domain where correctness matters accelerates. Aerospace, automotive, and medical device certification currently takes years of qualification effort. Cloud providers invest similar effort qualifying security-critical services and cryptographic implementations. Verified code generation could collapse that timeline to weeks. Hardware verification, where a single bug can cost hundreds of millions of dollars, benefits equally.
Dify 默认占用 80/443。如果冲突，改 docker/.env 和 docker-compose.yaml 端口映射。