FDE-Gym 把 AI 智能体当作前向交付工程师来评测,任务全部来自真实交付项目,智能体需追问脚本化客户、在类生产系统中作业,并找出客户未明说的约束。最佳配置在 95 个真实客户交付任务中仅完全解决 14 个;来自 7 家提供商的 13 种配置里最高平均分 0.56,主要失败原因是漏掉未明说的约束。即便在最佳配置已收集齐全部关键事实的 23 个任务上,也只有 10 个达到 0.8 及以上。
// FDE-Gym: Agents as Forward-Deployed Engineers //
They found that the best agent configuration fully resolved 14 of 95 real customer-delivery tasks.
FDE-Gym tests agents as forward-deployed engineers. Each task comes from a real delivery project. Agents must question scripted stakeholders, work in production-like systems, and find constraints the customer never stated.
A delivery is scored by how much it improves the customer's own success metric, with penalties for extra messages, trial runs, and waiting time.
Across 13 configurations from seven providers, the top mean score is 0.56. The main failure is missing unstated constraints. Even on 23 tasks where the best configuration collected every key fact, it reached 0.8 or higher on only 10.
Highly recommended benchmark to look at.
https://arxiv.org/abs/2610.22350
Chat with Paper: https://academy.dair.ai/papers/fde-gym-the-last-mile-of-ai-delivery-2610.22350
来源:DAIR.AI · x.com