Earlier quoted context omitted.
Throw some novel text prompt/task at it and see what happens. If it was just "glorified lookup tables" then the result should be consistently garbage. Note in particular that "like a function that can do the same computation with fewer inputs" maps very well to GPT-3 - it can complete many interesting tasks by just having a few samples provided to it, instead of having to fine-tune it with more training.
> Note in particular that "like a function that can do the same computation with fewer inputs" maps very well to GPT-3 - it can complete many interesting tasks by just having a few samples provided to it, instead of having to fine-tune it with more training. The reason it doesn't need more training is because it's already trained itself with millions of lifetimes of human data and encoded that in the parameters! Huma…
You know what else is trained by the experiences of thousands of individual (and billions of collective) human lifetimes of data? And several trillions of non-human ones?
> Humans aren't born trained with data.
That's either very wrong or about to evolve into a no true scotsman regarding what counts as data.