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

This report is categorized under AITOP's "Industry" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include agents, Logan Kilpatrick, evals, industry forecasts.

Source attribution: curated from elvis (@omarsar0). Cross-source corroboration: 3 independent sources have covered this development (including Logan Kilpatrick, Y Combinator), confirming industry-wide signal strength.