In the first, a " generative adversarial network" learns through trial and error to transform strings of numbers into levels indistinguishable from human-created levels.
In general, since every individual polynomial has only finitely many terms, its coordinates will be some finite string of numbers with an infinite tale of zeroes.
The University of Washington's Bender describes a language model as a system that has been trained on written data to " model the likelihood of different strings of word forms."
When younger kids learn computer science, they learn that it's not just a confusing, endless string of letters and numbers, but a tool to build apps, or create artwork, or test hypotheses.