Many people agree that ‘artificial intelligence’ is a poor term that is vague and has existing connotations. People use it to refer to a whole range of different technologies.
However, I struggle to come up with any better terminology. If not ‘artificial intelligence’, what term would be ideal for describing the capabilities of multi-modal tools like Claude, Gemini, and ChatGPT?
I also agree “AI” is overloaded and has existing connotations (ranging from algorithms to applications as well)! I would think generative models, or generative AI works better (and one can specify multimodal generative models if one wants to be super clear), but also curious to see what other people would propose.
You probably don’t like the term LLM because it doesn’t describe capability. And most model are multimodal these days, so it is not just natural language.
You also wouldn’t like the term Autoregressive/Next-token predictor. Still because it says what it does, not what it is capable of.
Many people agree that ‘artificial intelligence’ is a poor term that is vague and has existing connotations. People use it to refer to a whole range of different technologies.
However, I struggle to come up with any better terminology. If not ‘artificial intelligence’, what term would be ideal for describing the capabilities of multi-modal tools like Claude, Gemini, and ChatGPT?
I also agree “AI” is overloaded and has existing connotations (ranging from algorithms to applications as well)! I would think generative models, or generative AI works better (and one can specify multimodal generative models if one wants to be super clear), but also curious to see what other people would propose.
I just saw the term ‘Synthetic Intelligence’ thrown forward, which I quite like.
https://front-end.social/@heydon/115071424831331716
You probably don’t like the term LLM because it doesn’t describe capability. And most model are multimodal these days, so it is not just natural language.
You also wouldn’t like the term Autoregressive/Next-token predictor. Still because it says what it does, not what it is capable of.
AI is a pretty good term. As overloaded as it is.