Human Routers of Machine Words

Article excerpt

A technical essay examines how humans mediate the flow of machine-generated text through digital systems, drawing parallels between content moderation and network routing. The piece argues that as AI language models generate increasingly voluminous outputs, human judgment becomes a bottleneck, similar to how physical routers direct data packets. The author explores the cognitive and practical challenges of filtering, categorizing, and directing algorithmic content at scale, questioning whether current human-in-the-loop approaches can sustain growth in AI deployment. The essay suggests this human routing function is foundational infrastructure, yet underappreciated and often invisible in debates about AI safety and governance.