AI Signal
Open d1: small models that choose the next step
Liquid AI released open d1 weights: text and images with d1-3B, plus an experimental 600M model for text with images or audio. Named questions, structured answers, local inference.
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Transcript
The original narration, preserved as published. Relative dates refer to the episode’s coverage window.
Your camera sees a frame. Your app needs a choice. Liquid A I released two open-weight d one models yesterday, October seventh.
Give the three B model text or images, plus named questions. It returns structured answers in one forward pass. Picture checking an image or routing a request.
The experimental six hundred million parameter model takes text with images, or text with audio. Audio training used English assistant requests, with clips capped at thirty seconds. That limits what this first checkpoint proves.
Both are downloadable now on Hugging Face under Liquid's license. The larger model has llama dot C P P support for local use.
Liquid shows camera demos, including gesture-controlled games. They're demonstrations of what its setup can do. The smaller model remains an early research release.
In an app, a chat model could write an explanation while a decision model selects a named next step. That separation is the interesting experiment: a small local component inside a larger workflow.