I have a question for people with knowledge of both LLMs and GOFAI: Why can’t we use LLMs to write as many symbolic rules as needed to fit the data while keeping the ruleset reviewable and maintainable?
reminds me of http://www.thai-language.com/ (it's safe). it was around long before Google Translate got good enough. i don't know the authors/maintainers, but afaik, everything is entered manually. this is the "analytical" approach to language. most translations before Google Translate went full ML used an analytical approach.
anyway, long story short, turns out "analyzing" a language to "understand" it GREATLY underperforms probabilistic/statistical methods like ML.
also reminds me of trying to label parts of speech in Vietnamese. there's a school of thought that finds it useful...then there's another school of thought that plainly points out words that can be verbs, nouns, adjectives all in different contexts.
I intended to share Wikidata as an example of an ontology that can be reviewed and maintained, rather than an example of an LLM maintained ontology.
I did not do a good job of communicating this, so appreciate the clarification!