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ML is the intersection of the set of successful things and the set of things we call AI today. There are things we used to call AI, like inference engines, tha
by bitwize 3y ago
ML is the intersection of the set of successful things and the set of things we call AI today.
There are things we used to call AI, like inference engines, that were and are phenomenally successful (not to mention easier to implement). Type inference in modern programming languages, for instance, still uses the GOFAI technique of unification to solve for unspecified types of variables in a program.
That's why I found it funny the article said "There are companies claiming their products are powered by AI, when they're really powered by IF statements." Back in the day, AI was itself powered by IF statements.
- avgcorrection 3y ago> There are things we used to call AI, like inference engines, that were and are phenomenally successful (not to mention easier to implement). Type inference in modern programming languages, for instance, still uses the GOFAI technique of unification to solve for unspecified types of variables in a program. Okay. I don't see how these application domains have anything to do with “AI” in the sense of something that resembles human reasoning in any given subarea (like pattern recognition, language).