We use analogies some of the time. They’re particularly useful when we’re wrapping our heads around something new. By comparing something novel to something familiar, we can make a shortcut to comprehension, or at least, categorisation.
But we need a certain amount of vigilance when it comes to analogies. Just because something is like something else doesn’t mean it’s the same.
With that in mind, here are some ways that people are describing generative machine learning tools. Large language models are like…