AI吞噬中层：工程师成长阶梯缺失的结构性危机
原标题：Presentation: The Ladder Is Missing Rungs: Engineering Progression When AI Ate the Middle
AI 摘要
在InfoQ的演讲中，Alasdair Allan回顾了Dario Amodei一年前关于AI将在12个月内编写几乎所有代码的预测，并引用Redwood Research的分析指出该90%数字具有误导性，实际提交到仓库的AI生成代码比例约为50%，而Google、微软和GitHub Copilot的数据则在25%至30%左右。演讲者进一步引用METR的随机对照试验，指出经验丰富的开发者使用AI工具后完成任务反而慢了19%，但开发者自身感知却是快了20%，且后续研究因开发者拒绝在无AI条件下工作而无法开展。演讲的核心论点是：AI正在承担过去用于训练工程师的编码工作，但行业尚未回答下一代工程师如何培养这一结构性问题。
正文节选
Transcript Alasdair Allan: Not 5 years ago, but 12 months ago now, almost to the day in fact, someone else stood up at an entirely different conference in New York, and during their talk they said this. They said that within 12 months AI will write essentially all of the code. I'd expect some of you in here today still write code, or at least some of you run teams that still write code by hand, like savages. The person who said this was Dario Amodei, the co-inventor of RLHF, the training techniq