Ok, I hear a lot of 'AI is a superset of ML' definitions, and yes, that's historically true, but today AI is shorthand for LLM's and others (image generation, e

Ok, I hear a lot of 'AI is a superset of ML' definitions, and yes, that's historically true, but today AI is shorthand for LLM's and others (image generation, embedding, DL-based time series). I'd draw the line at systems using emergent phenomena that aren't realistically reducible to understandable rules. Should we say 'this uses AI' for a Prolog/expert system/A*/symbolic reasoning/planning/optimization system today? Idunno; I had scruples even about calling classical and Bayesian statistical models 'machine learning,' reserving that for models prioritizing computational properties over probabilistic interpretation.