Post #520984

Did some local LLM-based labeling of the HN comment corpus, tasking the model to classify how likely it is that each comment is: * Using AI-like grammar (e.g. it's not X, it's Y) * Using AI-like markup (e.g. em-dashes) * Trying to shill something * Trying to influence public opinion Still a bit work in progress, but here are some preview data.