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Google 为 OKF 增加溯源、验证、时效、生命周期与计算证明信号,让智能体读取前判断知识可信度。
The Open Knowledge format has been improved. Google just announced OKF v0.2. which introduces a Trust Layer to solve the problem of accountability in agent-generated knowledge. OKF v0.2 aims to answer these 5 questions in the YAML frontmatter: ▪What was this created from? ▪How much should I trust it? ▪Is it still true? ▪Is it the current version? ▪Was this number produced the way we said it must be? Type is still the only required filed in the YAML frontmatter, but you are encouraged to add these new fields. (You don't need to though - your current OKF structure is still going to work.) The new fields are: ▪generated: (Supersedes timestamp) ▪verified: (List of human/machine confirmations) ▪status: (draft, stable, deprecated) ▪stale_after: (Absolute expiration date) ▪sources: (Structured provenance data) I want to share something else as well. I think if you're following how I'm building with OKF, we may be using OKF in a different way than it was intended to be used for. They say they created OKF so agents can have the context they need to understand table schemas, metric definitions and runbooks. Yet, we are using it to help agents understand knowledge. I think what we are doing is more akin to Karpathy's LLM-Wiki (which was the inspiration for OKF). I also think what we are doing is amazing - so continue on! https://t.co/9vrydTG1HS Marie
是什么
Google Cloud 发布的 OKF v0.2 为面向智能体的知识文件增加可选可信信号。OKF 仍以 Markdown、YAML frontmatter 和简单约定为核心,type 依旧是唯一必填字段;新字段不会强制规则,也不会破坏既有结构。
核心论点
当智能体持续生成大量知识,并由其他智能体消费时,人工页面所附带的作者责任不再成立。因此消费者需要回答五个问题:内容源自哪里、应当多信任、是否仍然有效、是否为当前版本,以及其中的数值是否按规定方式产生。generated、verified、status、stale_after 和 sources 分别提供这些判断所需的元数据。将信号放在 frontmatter 中,便于搜索和筛选阶段低成本判断,只有选中的概念才需要读取正文。
关键洞察
OKF 不直接写入一个普适可信分数,而是记录来源、作者、使用次数、更新时间和验证记录,让不同消费者按自身场景推断可信度;generated 与 verified 分离,也区分了生产者和确认者。Marie Haynes 进一步指出,社区正在把 OKF 用作通用知识载体,其思路更接近 Karpathy 的 LLM-Wiki。
边界与风险 字段可选意味着缺失只代表未验证,不代表内容可信。来源可能失效,使用次数不等于正确性,元数据也可能被错误填充或操纵。落地仍需验证流程、过期策略、计算 attester 和冲突处理机制;OKF 提升的是可审计性,并不能单独证明语义正确。