Deadspin editor A.J. Daulerio attempted to re-create Pittsburgh Pirates pitcher Dock Ellis' infamous no-hitter of June 12, 1970 against the San Diego Padres, pitched while tripping on acid. Daulerio did so by dropping LSD, and re-enacting the game on the Xbox version of MLB2K11. The resulting post is a great read.
Only once did I feel a brief flicker of hallucinatory terror. We were in a pizza parlor, in the friendly Cobble Hill section of Brooklyn, and I was having difficulty deciding which slice to purchase because even though my stomach said "plain slice" my mind begged for "chicken jalapeño with shredded garlic knots," which wasn't even available but, dammit, it should have been that day. It didn't feel like an unreasonable amount of time had passed. Then a slice of white pie was whooshed out of the giant oven by the pizzaman, and the gurgling cheese appeared angry with me. Maybe I was holding up the line. I ducked behind the soda fountain to refocus my fritzy thoughts for a couple extra minutes until that ricotta stopped messing with me. I ordered two plain slices quickly, then added on a slice of white because I felt the need to assert myself. Hey, white pizza. I eat you. You don't eat me.
Video, NYO story, Deadspin post, and historical background.
5 Worlds is a young SFF project that’s been a hard secret to keep these past years! It’s a five book series, 250 pages each, full color. It has five worlds and there are five of us working together on it. The story involves an impossible quest to light these ancient beacons left behind by […]
You could not ask for a clearer, easier-to-read, more informative guide to facial recognition and machine learning thank Adam Geitgey’s article, which is the latest in a series of equally clear explainers on machine learning, aimed at non-technical people — and if you are a programmer, he’s got links to Python sample source and projects […]
Game theory is the place where politics, economics, psychology and math meet, and it offers the seductive promise of being able to quantify empirically optimal outcomes from thorny problems ranging from whether to go to war to how to split the tab at a restaurant.
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