They were pointing out that "It's not a Waymo-bashing article, it cautions against the long term effects on research." does not sound like LLM-generated text.

It would sound kind of LLM-y if you had said "It's not an anti-Waymo article. It's an article about how assistive technology is quietly degrading research."

(Of course, the correct approach to detecting AI is not counting LLM-isms, but feeding long-form text through a classifier model and picking up statistical correlations that are more in-distribution with LLM text than human text.)

Correct. I was already pretty sure, but I wouldn't have written that post without checking Pangram first.