Crawling is done to discover and index content for search results (to relieve dependence on Google, etc). Scraping is done to get relevant content into the LLM's context window. And then the LLM generates the output. All the functions are there, so someone may emphasize just a subset to try making their point (which can cause issues if relevant context is left out, whether accidentally, ignorantly or maliciously).
> RAG crawlers
Very few people know what "RAG" is, so it makes little sense to mention it to any other than a technical audience.
> not LLM training
There's an issue of trust, because once content is scraped, it can also be used to train future models. That's really what ought to be emphasized IMO.
