Not sure what you're on about. Embeddings have been talked about here at length since day 1 especially with RAG applications and vector dbs

I had the same reaction to this comment. At least in my experience in this area, embeddings are heavily discussed and used. At this point, for most traditional NLP tasks involving a vector representation of a text, LLM embeddings are generally a good place to start.