Orchestrating 300 K3 agents on GPT-6 Astra as one system, not a team
The author argues that 300 agents should act like 300 temporary processes in one system, coordinating through shared state rather than talking to each other, which makes orchestration matter more than the individual model.
GPT-6 Astra + 300 K3 agents shouldn’t behave like a team of 300 people. they should behave like one system with 300 temporary processes. one agent finds a source. another finds a contradiction. 20 others test different branches. 50 more execute tools. most of them never need to talk to each other. they only need to update the right state. that changes the architecture: goal → route → swarm → local work → verify → shared state → re-route the interesting part isn’t spawning 300 agents. it’s making sure agent #287 can change what agent #12 does without both reading the entire system. that’s where orchestration starts to matter more than the individual model.
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