Liquid AI releases open-weight d1 models that output decisions, not text

Liquid AI released d1-3B (text and images) and d1-omni-600M (text with image or audio). Neither model generates text; each returns calibrated, typed answers in one forward pass with zero output tokens. They target real-time decisions.

Why it matters: Skipping autoregressive generation removes the main latency and cost of using LLMs as classifiers or routers. If the calibration holds up, this suits on-device and robotics control loops where token generation is too slow. It is a concrete alternative to the default of prompting a chat model for decisions.