The LLM Flaw That Keeps Agentic AI Stuck as a Great POC
中文摘要
大语言模型因迁移测试失败使智能体AI受限于原型阶段。解决方法并非盲目扩大模型，而是构建能维持稳定性的约束框架。
English Summary
LLMs fail migration tests, keeping agentic AI stuck in prototypes. The fix is a structural harness to ensure reliability rather than simply scaling the models.
原文节选
The newest models still fail a simple migration test. The fix isn’t a bigger model — it’s a harness that holds the line. Continue reading on Medium »