AI 开始自己改自己的代码了
一个叫 Ouroboros 的 AI 智能体，能自己改自己的工具、提示词、甚至核心代码，改完的版本直接成为它后续工作的基础。它有两种进化方式：一种是纯粹把「改进自己」当成任务，循环往复；另一种是在日常干活和与人互动中发现问题，再推动结构性修改。在 Terminal-Bench 2.1 上拿到 86.74%，在 OSWorld 上 90.69%，都是目前最高分。更关键的是，它已经在真实环境里连续跑了 161 天，期间人类只负责沟通和提建议，决定权在 AI 自己。这带来的核心问题是：当 AI 能改自己代码、选新模型时，安全护栏怎么保持权威？
📄 原文摘要(英文)
We present Ouroboros, a self-developing agent harness whose tools, prompts, context assembly, and core implementation improve through reviewed commits that become the runtime for later work. Core evolution proceeds in two modes. In recursive free evolution, improvement is itself a task, and completing one evolution cycle can schedule the next. In experience-driven core evolution, ordinary work and social interaction expose bugs, rough edges, and inefficient context construction that lead to reviewed structural changes. On Terminal-Bench 2.1, an Opus 5 run scores 86.74%, the best result reported on the benchmark. On OSWorld-Verified, an Opus 5 run reaches 90.69%, exceeding the best previously reported score. A five-rollout CL-Bench campaign achieves a normalized reward of 0.2301, setting a new state of the art. Hope is the longest-running publicly documented Ouroboros deployment. It is a 161-day living agent experiment in free evolution under governed human communication across seven surfaces. Human interaction surfaces faults and generates proposals, but the agent decides which changes to pursue. Because a self-developing agent may rewrite its own code and select new model APIs, operational safety becomes a primary design problem: guardrails must remain authoritative under evolutionary and public social pressure. Benchmark campaigns use frozen system snapshots, while Hope continues live evolution on a separate lineage.