Actually I endorse the fact that we are less shy of calling “AI” algorithms that do exhibit emergent intelligence and broad knowledge. AI uses to be a legitimate name for the field that encompasses ML and we do understood a lot of interesting things about intelligence thanks to LLMs nowadays, like the fact that training on next-word-prediction is enough to create pretty complex world models, that transformer architectures are capable of abstraction or that morality arise naturally when you try to acquire all the pre-requisites to have a normal discussion with a human.
The way to tell so often seems to be if someone has called it AI or Machine Learning.
AI? “I put this through chatgpt” (or “The media department has us by the balls”)
ML? “I crunched a huge amount of data in a huge amount of ways, and found something interesting”
Actually I endorse the fact that we are less shy of calling “AI” algorithms that do exhibit emergent intelligence and broad knowledge. AI uses to be a legitimate name for the field that encompasses ML and we do understood a lot of interesting things about intelligence thanks to LLMs nowadays, like the fact that training on next-word-prediction is enough to create pretty complex world models, that transformer architectures are capable of abstraction or that morality arise naturally when you try to acquire all the pre-requisites to have a normal discussion with a human.