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The Signal

Everything that matters in AI, with our take.

Updated through the day. Every headline links straight to the source. The two lines underneath are ours.

arXiv cs.CLPaper

TokenRouter: Efficient Serving System for Token-Level LLM Routing

Token-level routing beats query-level routing on cost-quality, but only if you can actually implement it without tanking throughput. TokenRouter solves the hard part: the systems engineering. If you're running a multi-model serving infrastructure or building one, this moves from research idea to viable production pattern. The architecture choices matter more than the algorithm.

arXiv cs.CLPaper

AgentRouter: Heterogeneous Model Routing for Cost-Optimal Multi-Step Agentic Workflows

This is the kind of work that changes agent economics in production. Routing every step to Claude or GPT-4 wastes 60-80% of compute budget on subtasks that 7B models handle fine. AgentRouter's approach is practical: a 12M-parameter classifier with <5ms overhead that learns which steps need frontier reasoning and which don't. For builders running multi-step agents, this is immediately actionable. For cost-conscious teams, this flips the economics of when agents become viable. Implementation matters less than the insight: heterogeneous routing is now table stakes.