Musubi releases PolicyLM-1.7B, an open-weights decision model for real-time content moderation

Musubi announced PolicyLM-1.7B, a lightweight open-weights decision model built for real-time content moderation that applies a plain-English content policy to messages in under 50 milliseconds. The company says it is designed to be similar in cost and speed to the AI classifiers used by most social platforms, but can apply complex policies without special training and needs no retraining when a policy changes, letting policy-setters iterate. Co-founder and chief AI officer Filip Jankovic frames it as a way for platform managers to label content proactively, and the announcement positions it against TypeSafe AI's Jev, released in September and followed by competing decision models from OpenAI and Amazon.