AI Communication: Understanding the Channels

Every reply an AI system sends you is the visible tail end of a pipeline: raw text is tokenized, a natural-language-understanding stage extracts meaning, a dialogue manager tracks the running state of the conversation, and a generative model streams tokens out one at a time before they are rendered through a text, speech or vision channel. This simulator visualizes that pipeline as a live stream of packets, and ties the message rate and sampling temperature you set to the real queueing latency the channel experiences as it approaches saturation.