Not all borrowing is the same. From public domain illustrations on book covers to AI’s data hoarding, who really owns culture – and who gets away with taking it?
data
The Offices Of The Central Social Institution Of Prague — 1937
rarehistoricalphotos.com




OpenAI Training Bot Crawls ‘World's Lamest Content Farm’ 3 Million Times in One Day
404media.coWhat makes an album the greatest of all time?
pudding.coolIn short, beyond accounting for new releases, there must be other factors influencing Rolling Stone’s choices.
This project uses Rolling Stone album rankings – twenty years apart in time – to determine what influences “greatness”.
First, musical greatness is shaped by how we listen.
See your identity pieced together from stolen data
abc.net.auHave you ever wondered how much of your personal information is available online? Here’s your chance to find out.
Why I Stopped Worrying and Learned to Love Denormalized Tables
glean.ioI quickly learned that writing one giant query with a bunch of joins or even bunch of Python helper functions could get me stuck. My transformation functions weren’t flexible enough, or my joins were too complicated to answer the endless variety of questions thrown my way while keeping the numbers correct.
Instead, the easiest way to be fast, nimble, and answer all the unexpected questions was to prepare a giant table or dataframe and limit myself to it. As long as I understood the table’s contents, it was harder to make mistakes. I could group by and aggregate on the fly with confidence.