Most decisions in AI systems don't need an LLM to think — use System 1 models
petrusenko_max · x · 2026-11-01
arpitbhayani lays out a framework: LLMs are autoregressive and great for reasoning and generation, but most decisions inside an AI system are simple routing, classification, and formatting tasks that cheaper System 1-style models can handle all day.
petrusenkomax adds the key boundary condition: direct prediction works until the label set changes weekly — then editing a prompt beats retraining a classifier. The core takeaway is treating small-model-vs-prompt+LLM as a cost/changes tradeoff.
More from coding & agent
- Hex ships stable release: local voice dictation for talking to AI agents on Mac, Windows, Linux — madeofAjala · 2026-11-01
- Personal AI agent race heats up — this prompt migrates your entire setup between agents — EXM7777 · 2026-11-01
- Nous Research's Hermes Agent launches mobile beta on iOS and Android via TestFlight — testingcatalog · 2026-11-01
- How to Build a Production AI Agent: The 7 Layers Between the Model and the Result — blaizedsouza · 2026-11-01
- Dev hacks transparent video on the web by splitting AV1 frames into double-height video plus alpha-as-brightness — mgostIH · 2026-11-01
- Yacine says Terra is now his daily driver — yacineMTB · 2026-11-01