GPT-6 Astra 与 Kimi K3 的双脑路由架构
作者提出一套路由方法论：按失败模式定规则，研究类任务给 Kimi K3、可执行任务给 Astra，并分层测量路由与执行故障。
GPT-6 Astra + Kimi K3 can still fail as a system if the router keeps sending work to the wrong brain the formula: Reliable Routing = Failure Patterns + Rules + Small Judge + Handoff Contract + Measurement 7% -> FIND: study failed tasks before writing routing rules. separate them into research ambiguity, execution failure, missing evidence and broken handoffs. 21% -> BUILD: use deterministic rules first. research gaps go to Kimi K3. clear actions, tools and testable outputs go to GPT-6 Astra. use a small routing model only when rules cannot decide. 67% -> RUN: every task passes through the same gate: rules -> ambiguity check -> selected brain -> verification. both models receive a structured packet with the goal, evidence, decisions and next action. 100% -> MEASURE: debug failures in order. did the system reach the goal? was the routing path correct? which component actually failed? this lets you replace a model without rebuilding the workflow, see whether routing or execution broke, and keep the system running without blind trust. the router should not be another giant agent. it should be the smallest reliable decision layer between two specialized brains. i built and visualized this Two-Brain Routing architecture myself the full breakdown is below ↓
这条是引用着另一条写的：x.com/de1lymoon/status/2098714638552559806