What do 1960s LISP programs for natural language understanding, 1980s Prolog programs for expert systems, and today’s use of large language models have in common? Nothing, really, except they’ve all been referred to as Artificial Intelligence.

I asked ChatGPT and Copilot to parse my two favorite home-grown OWL examples, do the appropriate inferencing, and show me the results, and I was impressed.

Earlier this month I tweeted “When people write about AI like it’s this brand new thing, should I be amused, feel old, or both?” The tweet linked to a recent Harvard Business Review article called Data Scientists Don’t Scale about the things that Artificial Intelligence is currently doing, which just happened to be the things that the author of the article’s automated prose-generation company is doing.