"Berlin is not a pretty place. The winters are a total nightmare, no sunlight, no warm face. Its cuisine is all about fast food. Large parts of town smell like a public toilet; overdosed tourists randomly pass out on the street. It’s not a city where you would sit out on a cafe terrace to people-watch. But also it’s now nearly impossible to find an affordable flat you could call home"
OpenAI’s ChatGPT search tool may be open to manipulation using hidden content, and can return malicious code from websites it searches, a Guardian investigation has found
It is in the financial interest of streaming services to discourage a critical audio culture among users, to continue eroding connections between artists and listeners, so as to more easily slip discounted stock music through the cracks, improving their profit margins in the process.
I feel this is slowly happening to all types of media., not just audio. The slow dumbification of culture
"Between 2009 and 2012, iPhones had a built-in "Send to YouTube" button in the Photos app. Many of these uploads kept their default IMG_XXXX filenames, creating a time capsule of raw, unedited moments from random lives.
Inspired by Ben Wallace, I made a bot that crawled YouTube and found 5 million of these videos! Watch them below, ordered randomly."
Eurostar is the worst-performing rail service on the continent and Germany’s Deutsche Bahn is one of the least reliable, according to a ranking of 27 European operators
the Statistical "Which Character" Personality Quiz, this website has had volunteers rate 2,000 characters on a 100 point scale from "depressed" to "bright"
which showed a link to wicked.com, instead of wickedmovie.com. The address was printed on boxes for Glinda and Elphaba dolls, the main characters in Wicked, played in the film adaptation by Ariana Grande and Cynthia Erivo
So the AI boom of the last 12 years was made possible by three visionaries:
One was Geoffrey Hinton, a University of Toronto computer scientist who spent decades promoting neural networks despite near-universal skepticism.
The second was Jensen Huang, the CEO of Nvidia, who recognized early that GPUs could be useful for more than just graphics.
The third was Fei-Fei Li. She created an image dataset that seemed ludicrously large to most of her colleagues. But it turned out to be essential for demonstrating the potential of neural networks trained on GPUs