Ethan Mollick指出,Codex/Cowork/Code等Agentic工具本质上是“软件脑”设计,只重最终代码,而多数知识工作的过程(研究、探索、原型分支等)与结果同样重要。长时运行模型Fable也因专注交付最终产品而难以用于深度知识工作,用户需费力用提示词绕过限制。这种工具与管理者/分析师思考方式的脱节,是突破编程领域、扩展到其他知识工作的关键障碍。
A fundamental problem with extending Codex/Cowork/Code to all knowledge work is that they remain very "software-brained" where the end result (the software) is what is important & that code serves as a source of truth.
For a lot of other knowledge work, the process is at least as important as the outcome. This includes researching what is known, an exploration of alternatives, failed efforts, prototype branches, experiments, etc. All of those things are valuable, so you cannot use the PowerPoint at the end the way you can use a codebase, nor is progress on a to-do list sufficient context post compaction. You work in learning loops, refining your perspectives as you go.
In some ways, this makes long-running models like Fable hard to use for deep knowledge work, since they are designed to deliver product to you in the end. You can prompt your way around this problem, but everything about the Codex and Code harnesses want you to be a software developer and you have to fight them. There is a real disconnect between how a manager or analyst thinks about problems and how the agentic software tools approach solving them. Addressing this is critical to breaking out of the coding niche for these tools.