I can't believe I'm saying this, but there may actually be a case for using "SI" now. I'm not saying machine learning somehow stopped being AI, but the term "AI" has become so synonymous with generative AI that people are apparently starting to retroactively redefine the entire field in terms of LLMs.

I am actually of the opinion that the problematic term is intelligence and that “super intelligence” won‘t actually help. This term has caused tons of issues in psychology and is now causing other issues in technology and journalism.

However I think it is a lost battle and I am willing to concede the term over to its current usage. I am however glad that traditional statistical models are no longer referred to by this trouble term. I think machine learning also has issues, and wish people would just be specific with their description by stating the particular algorithm they use (e.g. Markov Chains; ANN; Kalman Filter; etc.) but still accept “machine learning” this as a massive improvement over “artificial intelligence”.