An analysis of GitHub pull requests reveals that large language models frequently use certain words like 'spine', 'gates', 'lane', 'proof', and 'truth' at unexpectedly high rates, with 'spine' PRs increasing 20x in 2026 compared to 2025. The author uses GitHub Search data to investigate this potential LLM pattern and explores whether specific models are responsible for these linguistic quirks.