AI Overuses the Em Dash? Analysis of 88,927 Chats Confirms It
Pristine_Ad3669 · reddit · 2026-08-30
An analysis of 88,927 AI chats confirms the common observation that LLMs overuse the em dash (—):
- Usage Gap: Only 2% of user prompts contain an em dash, compared to 34% of LLM responses.
- Historical Context: Google Ngram data shows em dash usage in U.S. books peaked in 1979 and declined to 1800s levels by 2006-2022.
- Search Trends: Google search interest for the symbol grew 245% in the past year (Aug 2025-Jul 2026) and 44% in the prior year, coinciding with AI adoption.
Why it happens:
- Token Efficiency: It can sometimes connect words using one fewer token than alternatives.
- Perceived Sophistication: It is associated with polished, academic, or complex prose.
- Human Preference: Trainers and annotators who shape model output favor it, so the model learns to reproduce it.
More from Models
- Celeris-1 Magnus: New Model Claims Top Spot on τ³-bench for Agentic Work — timshi_ai · 2026-09-01
- Focus on specific tasks, not the best model, as selection logic evolves — aftahi_ai · 2026-09-01
- User Rants on GPT-5.6 Hallucinations and Coding Limits, Hopes for GPT-6 Fix — Prestigiouspite · 2026-09-01
- Z.ai Releases GLM-5.3-Flash: 320B Params, 1M Context, and NVFP4 Quantization — alejandroll10 · 2026-09-01
- Rumor: GPT-6 'Astra' nears human-level computer use — jYtanYj · 2026-09-01
- Open Source Models Shift to Revenue Sharing and Licensing — zephyr_z9 · 2026-09-01