In my limited text generation experience, LLMs use em-dashes precisely like that, only without spaces on the sides and always in pairs in a single sentence. Here some examples from my Gemini history:
"The colors we see—like blue, green, and hazel—are the result of Tyndall scattering."
"Several interlocking cognitive biases create a "safety net" around the familiar, making the unknown—even if objectively better—feel like a threat."
"A retrograde satellite will pass over its launch region twice every 24 hours—once on a "northbound" track and once on a "southbound" track—but because of the way Earth rotates, it won't pass over the exact same spot on every orbit."
"Central, leverages streaming telemetry to provide granular, real-time performance data—including metrics (e.g., CPU utilization, throughput, latency), logs, and traces—from its virtualized core and network edge devices."
"When these conditions are met—indicating a potential degradation in service quality (e.g., increased modem registration failures, high latency on a specific Remote PHY)—Grafana automatically triggers notifications through configured contact points (e.g., Slack, PagerDuty)."
After collecting these samples I've noticed that they are especially probably in questions like explain something or write descriptive text. In the short queries there is not much text in total to trigger this effect.
