On the same day Meta showcased its latest , Brandy Roberts stood outside its headquarters mourning her daughter Englyn - who was just 14 when she died after watching a "how-to" suicide video on Instagram. Brandy wasn't there as an activist. She was there as a grieving mother demanding answers. Inside, Mark Zuckerberg fumbled through of glitchy smart glasses and AI tools. Outside, grieving families demanded accountability. Meta's silence spoke volumes: Growth over grief, product over protection, optics over safety.
We are being bombarded by information from many sources in our daily lives. Some of it is helpful, some is challenging, and some is anxiety-provoking. The many avenues available to get information may help or harm our efforts to get factual, evidence-based, believable information. Misinformation is just as prevalent as information and sometimes feeds into our desires rather than meeting our needs for reliable facts.
It's become a bit of an inevitability: I'll be scrolling social media at night, as one does, when I stumble upon a drama-filled reel about someone going through a divorce. Then the algorithm does its thing and, before I know it, I'm being served countless #DivorceTok videos. It doesn't matter that I'm happily married - I can't seem to scroll past one of these reels without staying tuned in until the end. Many of my friends report being served (and watching) the same things. Which begs the question: Why are happily married people obsessed with watching breakup content?
When it comes to Scala interviews, the trick isn't just solving problems - it's solving them the Scala way.Interviewers are often less interested in whether you can code something and more curious about how you think, use language features, and write clean functional code. In this article, I'll walk through three interview-style Scala questions. Each question is designed to test a different dimension of your Scala skill set - from string manipulation to functional collections and stack-based problem solving.
"It's because the algorithms are designed to feed young boys alt-right/misogyny content. There have been many studies showing how the algorithm changes depending on age and gender, and how hard it is to deviate away from the alt-right info once you get it."