machinelearning
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Synthetic Data: What Happens When AI Runs Out of Human Writing and Starts Eating Its Own Homework?
For the past few years, artificial intelligence companies have been acting like college students pulling an all-nighter before a final exam. They scraped the entire internet (every Wikipedia article, every Reddit thread, every blog post, every digitized book, and every angry product review ever written by a person) to train their large language models. They… Read more
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If Neural Networks Were Dating Profiles: Overfitting Red Flags
Picture this: You’re swiping through dating apps, scanning profiles, and suddenly, bam!, you meet Mr. Perfect. He likes every movie you’ve ever watched, quotes your favorite obscure song lyrics, and somehow remembers the exact brand of coffee you ordered three years ago at that one café in Bloemfontein. Sounds dreamy, right? Until you realize… he’s… Read more
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The Ethics of Deepfakes: When Seeing Isn’t Believing
Once upon a time, seeing was believing. A photo, a video, a recording; these were the receipts. Evidence. Proof. If you wanted to convince someone that Elvis was alive, you’d better have a blurry Polaroid to back it up. But now? A video doesn’t just lie, it lies convincingly. Deepfakes have made sure of that.… Read more
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How TikTok Tracks You (And Why Everyone Should Care)
Let’s be honest: most of us live on TikTok. One scroll, and suddenly two hours have disappeared. But while you’re chasing another makeup hack or dance trend, guess who’s catching you? TikTok.And it’s not just watching what you like, it’s building a full dossier on you. What TikTok Actually Tracks About You That brunch photo… Read more