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▲ runarberg 2 hours ago

No. Not in the contemporary common meaning of the term “AI”.

5 years ago you would be technically correct, but today “AI” is only a subset of technologies that used to be included in the term. Namely Large Language Models, Text To Image Models, Text To Video Models, and other forms of generative AI that take in a user text prompt. These other types of statistical models are now simply called Machine Learning Algorithms.

Very few people today say “AI”, and mean “any type of Machine Learning Algorithm”.

▲Alexandros84 2 hours ago | parent [-]

But wait AI is not only the LLMs. Machine Learning is AI just like Computer Vision is.

▲pwython 2 hours ago | parent | next [-]

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.

▲runarberg an hour ago | parent [-]

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”.

▲ceejayoz 2 hours ago | parent | prev [-]

Everyone here is aware of this fact.

Everyone here is also aware of what specific form of AI is being discussed here, including, I suspect, you.