A good example that is not, word randomised order and kombination with Mrs Spelling and fonetic spel-ing prevent ye knot that which I wrote you to komprehend.
(My apologies to non-native speakers of English; if someone did that to me in German I'd have no clue what was meant).
A better point is that GPT-3's training set is more tokens than the number of times an average human synapse fires in a lifetime, squeezed into a network with about 3 orders of magnitude fewer parameters than the human brain has synapses.
It's wrong to model AI as anything like natural intelligence, but if someone insists, my go-to comparison (with an equivalent for image generators) is this: "Imagine someone made a rat immortal, then made it browse the web for 50,000 years. It's still a rat, despite being very well-trained."