different neural network types excel at different tasks - image recognition was invented way before LLMs, not only for lack of processing power, but also because the previous architectures didn’t work with languages. New architectures don’t appear out of thin air, they are created with a rough idea of what we could need to make the network do a certain task (e.g. NLP) better. Even tokenization isn’t blind codepoint separation but is based on an analysis of languages. But yes, natural languages aren’t “parsed” for neural networks, they don’t even have a formal grammar.
again, !bang is for searching using a specific search engine, !!bang is for redirecting to a search engine’s page
!g will search with google
!!g will redirect to google
all ddg bangs are supported to my knowledge, but obviously !bang will only work with the search engines searxng supports