Logan Kilpatrick 预测 2027 年将出现规模化自动创收的智能体公司

他认为这种模式在当下已以小规模形式存在，只是还有很多粗糙之处。Elvis Saravia 回应称，越是自研掌控模型、harness 和 evals 的团队，能释放的规模越大。

他建议企业现在就挑一个功能做递归式自我改进，并提前搭建所需的流程和 evals。

It is already happening at a subscale indeed! And the more you own your intelligence stack (model, harness, evals), the more scale you can unlock. At this pace, recursive, self-improving AI companies will start showing up everywhere in different forms. But don't wait around. Start now by recursively self-improving a feature or function of your business/company, and build the processes/evals you'll need when those more advanced models and agents arrive. This lets you scale further, ideally closer to, like, frontier labs (at least that should be the ambition). Logan Kilpatrick @OfficialLoganK 2027 is the year we will see at scale autonomous revenue (profit?) generating agents / mini-companies already happening at sub scale today with lots of rough edges 🔗 View Quoted Tweet

本条情报归属 AITOP「行业」核心栏目，重点聚焦北美前沿实验室与硅谷科技巨头。在跨区域产业观察坐标中，该动态直接关联「AI 开发者工具链、Coding Agent 与工程化实践」研究主线，反映出当前技术演进与商业落地的最新风向。涉及核心实体与技术议题包括：智能体、Logan Kilpatrick、evals、行业预测，读者可通过下方标签进入对应专题页查阅历史脉络与关联对比。

信源核验说明：本文原始线索采编自「elvis」（@omarsar0），经 AITOP 多维评分管线结构化提炼。截至目前，全网已有 3 家独立信源对该事件进行交叉印证与跟进报道（含 Logan Kilpatrick、Y Combinator 等），属于近期高关注度行业信号。