Raw SignalSep 6, 20261 min read2 sources

Small models are taking on the fast, bounded jobs around larger agents

In one minute

Liquid AI’s encoders target routing, policy checks, and retrieval, while Raindrop uses small semantic classifiers and deterministic filters to monitor production traces before selectively calling a frontier model.

Together, they suggest builders can reserve larger models for harder judgments and handle routine decisions with cheaper, lower-latency components.

From the Field Notes:

Evidence / sources

  1. 1huggingface.co/blog/LiquidAI/lfm2-5-encoders
  2. 2raindrop.ai/blog/signals-2-frontier-classification
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