[{"content":"The Problem With Current Routing Most AI systems today route at the wrong layer. Multi-agent pipelines route at the text level — slow, brittle, expensive. MoE architectures route at the token level — better, but still late.\nThere is a more fundamental level: the latent space.\nWhat Is Latent Routing? Latent Routing makes inference-time decisions based on the geometric position of an input\u0026rsquo;s representation in a model\u0026rsquo;s latent space.\nGiven input x and encoder E, the routing decision r is:\nr = Router(E(x)) The Router operates on the latent vector, not raw tokens.\nThree Forms Expert Routing — extends MoE from per-token to per-concept routing.\nAgent Routing — selects specialist agents based on latent-space proximity to their competence regions.\nCompute Routing — exits inference early when the latent representation lands near a confident region. Same quality, less compute.\nWhy Now Three trends converging: models are becoming modular, inference cost is the bottleneck, and latent space is becoming legible via mechanistic interpretability.\nLatent Routing is the primitive that ties them together.\nFollow @latentroute for updates.\n","permalink":"https://latentroute.com/posts/what-is-latent-routing/","summary":"\u003ch2 id=\"the-problem-with-current-routing\"\u003eThe Problem With Current Routing\u003c/h2\u003e\n\u003cp\u003eMost AI systems today route at the wrong layer. Multi-agent pipelines route at the \u003cstrong\u003etext level\u003c/strong\u003e — slow, brittle, expensive. MoE architectures route at the \u003cstrong\u003etoken level\u003c/strong\u003e — better, but still late.\u003c/p\u003e\n\u003cp\u003eThere is a more fundamental level: \u003cstrong\u003ethe latent space\u003c/strong\u003e.\u003c/p\u003e\n\u003ch2 id=\"what-is-latent-routing\"\u003eWhat Is Latent Routing?\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003eLatent Routing\u003c/strong\u003e makes inference-time decisions based on the geometric position of an input\u0026rsquo;s representation in a model\u0026rsquo;s latent space.\u003c/p\u003e\n\u003cp\u003eGiven input \u003ccode\u003ex\u003c/code\u003e and encoder \u003ccode\u003eE\u003c/code\u003e, the routing decision \u003ccode\u003er\u003c/code\u003e is:\u003c/p\u003e","title":"What Is Latent Routing? A New Primitive for AI Inference"}]