你原本只是来看看模型是不是又变强了，结果发现真正有戏的是没说出来的那部分取舍。
最容易做错的，是把 Claude Code 和 Claude 当成同一种工具，以为谁分高谁就适合自己。；代价往往是如果只看宣传，你会以为自己买到的是更强版本，实际却可能先撞到更严格的限制。；我先给一个保守判断：AI变俗，不是不会想，是太早判。。
You opened the update just to check whether the model got better. The interesting part is the tradeoff nobody says out loud. My conservative read: AI gets bland not because it cannot think, but because it judges too early.
The proof is in "I gave Claude Code ADHD.. and it thinks 2x better now". What changed was not simply "think longer." The 工作流程（workflow） splits idea generation from criticism: Phase 1 forbids ranking, and only Phase 2 scores, clusters, and deepens the candidates.[S001][S002] That delay in judgment is the whole point.
The concrete detail that makes the claim legible is the run shape: about 10 model calls, usually 5 divergence passes, 1 scoring pass, 1 clustering pass, and 3 deepen passes.[S001] In plain English: more branching before critique, not just a longer monologue.
The boundary matters. The same write-up says this pattern is for decision points, not the tiny repeat steps inside a 工作流程（workflow）, and typical latency is around 30 to 90 seconds per run.[S001] So this looks useful for messy coding choices with many possible paths, not for retrieval tasks or work that already has a known answer.
The launches that create the most discussion are never just about a model getting stronger. They are about why the strongest version was not put directly on the table. My takeaway: Claude Code is better for helping you see the problem clearly first; Claude is better for carrying the rest of the work to completion. Share this with the person on your team who still compares them like they are the same product.
真正该讨论的是：Claude Code 更适合先帮你看清问题，Claude 更适合把后面的活收完整。