I mapped how Reddit actually talks about AI safety: 6,374 posts, 23 clusters, some surprising patterns

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I collected Reddit posts between Jan 29 - Mar 1, 2026 using 40 keyword-based search terms ("AI safety", "AI alignment", "EU AI Act", "AI replace jobs", "red teaming LLM", etc.) across all subreddits. After filtering, I ended up with 6,374 posts and ran them through a full NLP pipeline. What I built: Sentence embeddings (paraphrase-multilingual-MiniLM-L12-v2) -> 10D UMAP -> HDBSCAN clustering Manual cluster review using structured cluster cards Sentiment analysis per post (RoBERTa classi...