Jerry Liu说未来FDE只需定目标和评估标准，具体实现交给RL或Claude Code自动搞定。
Jerry Liu在X上发文称，FDE的未来工作将围绕evals、posttraining和RL环境展开。他把FDE职责拆成三步：定义业务问题、将问题编码为评估标准与环境、在环境中逐步优化产出智能体工作流。目前第三步仍靠手工打造定制软件，未来可交给RL或Claude Code/Codex自动化优化。届时FDE的重心将从实现转向检查目标、环境和评估标准是否准确。
The future of FDE work seems closely related with all work around evals/posttraining/RL envs. FDEs ...
The future of FDE work seems closely related with all work around evals/posttraining/RL envs. FDEs are effectively responsible for the following: 1. Define the business problem. 2. Codify the business problem into an eval rubric and environment. 3. Hillclimb the environment and output an agent/agentic workflow that solves the business problem. Right now the process of (3) is quite manual - historically FDEs spend hundreds of hours creating bespoke software/workflows that solve the problem. But assuming intelligence is abundant, they can effectively offload (3) to some automated optimization process. This includes RL on the model layer, and using Claude Code/Codex to optimize the harness/workflow. Then the FDE responsibility shifts from implementing the task to defining the right goals and outcomes. In other words, they have access to /goal, and their job is more around making sure the goal, environment, and evals are correct vs. the tactical implementation details. 💬 3 🔄 1 ❤️ 25 👀 1308 📊 10 ⚡