Apple Downloaded A CSS Filter And Called It "Liquid Glass"

Content Ofure ofureonline 1d My boyfriend is an intellectual 2 Philip Password is "apples" Mv bad How is that even allowed Made it when I was like 6 How have vou not been hacked It's plural 579 17 19.3K M 354K Laizerdisk Laizerdisk Replying to ofureonline "Hacking Phillip was almost too easy. His password was 'apples,' same one he's had since he was six. All it took me was knowing his favorite fruit, and I was in. I owned his whole system"

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If only AI was this simple. Two lines of code and boom—sentient machines ready to take over the world. Meanwhile, my actual ML models need 500GB of training data just to recognize a hotdog. That dusty MacBook screen really completes the "exhausted data scientist" aesthetic. Nothing says "I understand neural networks" like pretending you can just call machine.learn() and go grab coffee.

The trillion-dollar company that makes privacy its selling point just handed out their source code like it's free candy at a tech conference. Source maps in production is the digital equivalent of leaving your house keys under the doormat with a neon sign pointing to them. Some developer is getting a strongly worded Slack message right about now. For the uninitiated: source maps are files that link minified/compiled code back to the original source, meant for debugging but absolutely not for showing your competitors how your app works. It's like publishing your diary but forgetting to tear out the pages where you wrote down all your secrets.

Content Tired of failing Data Science interviews for being a real Statistician, and not a CS tryhard Google 50 Yesterday Q 46 Comments I am a Statistician. I have a grad degree in Stats. Not a grad degree in Analytics or Physics or Computer Science, a grad degree in Stats. Biostats, Operations Research, and Econometrics are cool though. I build models properly. If you don't have a grad degree in Stats, your models suck. No two ways about it. There are dozens of things you don't know to test and control for, and your model is wildly inaccurate. Outside of CV and NLP, you are an absolute joke. You're a SWE? Good for you. But, that's a completely different skillset with little overlap. Akin to a Pharmacist performing surgery. I go to interviews with 'top' companies and get rejected for giving an answer that is too right. I explain it perfectly vs its alternatives and give all of the context needed. Then some SWE pretending to be a Statistician fails me because they don't know what I'm talking about, they want a crappy DL model because they don't have a clue. Apple, Facebook, Netflix, Amazon, Linked OpenAl, etc. All have failed me in DS interviews despite perfect performances. All filled with CS tryhards. Even the HFTs are infested with CS dweebs who don't have a clue about DS. Sigma was asking me SWE questions in a Quant interview ffs. Google is my only option, there is nowhere else for me to go to be a real Statistician, believe me I've tried. Sucks knowing when you hit your ceiling and there is no alternative. Half of the Google DSs are now a joke too, have weaseled their way into convincing morons that they know what they are talking about. Sadly, these are the ones that politic into management and hire those of their ilk into the ranks in order to build their empires.

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