Over at The New Inquiry, Alison Kinney writes on narrative opportunity, the true function of the literary orphan, and the rage of the real orphan. This moving piece by Matthew Salesses for The Millions on adoption and searching for oneself in a strange place is a nice complement.
If you didn’t make it to BEA this year, first be thankful that you didn’t have to eat any of the food around the Javits Center. Then, check out some of the highlights from the comfort of your desk chair. I recommend Ami Greko and Ryan Chapman’s perennially excellent 7x20x21 panel, which this year featured Nate Silver, Dan Wilbur, and Sheila Heti among others.
The Great Gatsby, that quintessential American classic, was first published 90 years ago today. Over at Scribner Magazine authors ranging from Anthony Doerr to Christopher Beha remember their first encounters with the novel, and Time has republished its original review of the novel.
“Recently, a friend told me she didn’t like pictures of herself because she never looked the way she thought she did in her head. I think this pretty much describes the universal horror that is looking at your own photos, and that’s why I love the selfie so much. It gives you all the controls to the story you are telling.” In defense of the selfie.
If you know that Patricia Highsmith wrote The Talented Mr. Ripley, you know that she’s an exceptional authority on the workings of the criminal mind. At The Paris Review Daily, Dan Piepenbring digs up an old interview with the author, in which she describes the act of murder as “the opposite of freedom.” You could also read Tana French on Highsmith’s Strangers on a Train.
If you read one piece on early computer scientist Alan Turing that's come out in celebration of his 100th birthday last Saturday (if you were wondering about Friday's Google Doodle) you might do very well to make it this one in the Atlantic on how his reading of Charles Darwin and the theory of evolution influenced his work and continues to shape the way we work with computers. It's also about the limits of artificial intelligence.