AI-generated stories are stories written by humans, but watered-down and plagiarized. AI would not be able to write stories without
stealingtraining from human-made stories.Human stories are also plagiarized
Giving Shakespeare ye olde side eye
Some human stories are plagiarized.
Most human stories are similar to other stories without being plagiarized.
ALL AI stories are plagiarized.
Oh, so there are authors that never read a story before and just made it up in their heads?
There is no real difference between AI and humans in respect to borrowing elements from other stories.
AI stories may be lacking in some respects, but you can’t tell me human stories don’t recycle the same tropes
There is no real difference between AI and humans in respect to borrowing elements from other stories.
I say this is a case of reductivism
There’s a large swathe of people who want comfort food entertainment—unchallenging and similar to what they’ve enjoyed watching/reading/listening to before—at least some of the time. It makes sense that LLMs would be good at filling that need, since they can pretty much only generate more of the same.
People say they prefer food cooked by professional chefs over fast food, yet new study suggests that’s not quite true
People say they prefer meaningful relationships with other humans more than buggering goats. A new study shows that might not be true.
get a professional chef to make you fast food and you will understand why they are professionals
This is kind of stating the obvious. Humans can write shit stories too.
Feels like news headlines are just competing for maximum cognitive dissonance. I guess that’s how you make a profit these days.
Reed Johnson is a Senior Lecturer in Russian, East European, and Eurasian Studies
Martin Abel is an assistant professor of economics
Reed makes sense but wtf does economics have to do with it?
Econometrics has basically taken over for statistics in a lot of social sciences, for some reason. You rarely see a social scientist team up with a statistician - they team up with an economist, and they apply econometrics to whatever it is they are studying.
There could be a couple of reasons. Economists might be perceived as having a better understanding of “the real world”, as they are used to building predictive models around real world societal affairs, which is not really the job description of a statistician. Alternatively, it could be because they themselves are social scientists more than mathematicians, and they therefore “speak the language” of social sciences and are capable of interdisciplinary co-operation.
I think it’s a problem. More social scientists should learn to think critically of their methods and to do their own empirical research.
The freakanomics effect on a generation of academics
Economics involves understanding and predicting the behaviour of large groups of people, doesn’t seem all that far off topic here. And of course the way that people react to AI-generated content in products will be quite relevant to lots of people trying to market such products.
