Why A.I. Isn’t Going to Make Art | the New Yorker

We are entering an era where someone might use a large language model to generate a document out of a bulleted list, and send it to a person who will use a large language model to condense that document into a bulleted list. Can anyone seriously argue that this is an improvement?

We are all products of what has come before us, but it’s by living our lives in interaction with others that we bring meaning into the world

The programmer Simon Willison has described the training for large language models as “money laundering for copyrighted data,” which I find a useful way to think about the appeal of generative-A.I. programs: they let you engage in something like plagiarism, but there’s no guilt associated with it because it’s not clear even to you that you’re copyi... See more

Generative A.I. appeals to people who think they can express themselves in a medium without actually working in that medium.

Let me offer another generalization: any writing that deserves your attention as a reader is the result of effort expended by the person who wrote it

The programmer Simon Willison has described the training for large language models as “money laundering for copyrighted data,” which I find a useful way to think about the appeal of generative-A.I. programs: they let you engage in something like plagiarism, but there’s no guilt associated with it because it’s not clear even to you that you’re copyi... See more

The computer scientist François Chollet has proposed the following distinction: skill is how well you perform at a task, while intelligence is how efficiently you gain new skills.