I still remember the first time I tried to build a “smart” stock predictor back in 2015. I threw a massive Neural Network at a simple spreadsheet of historical prices. The result? It predicted the market would crash every single Tuesday. Why? Because I used a sledgehammer to crack a nut. I was using the […]

I remember the first time I tried to read a research paper on artificial intelligence. I got about two paragraphs in before I was hit with a wall of calculus and terms like “stochastic gradient descent.” I closed the tab and went back to checking email. It felt like an exclusive club where the password

I still remember the first time I tried to read a technical paper on artificial intelligence. I stared at the screen, squinting at a diagram that looked less like a computer program and more like a plate of spaghetti thrown against a wall. It was intimidating. And if you’re reading this, you’ve probably felt that

You can’t open a news app or scroll through social media these days without seeing someone mentioning AI. Whether it’s a student using ChatGPT to draft an essay or a coder using Copilot to fix a bug, this technology has firmly parked itself in our daily lives. But if you strip away the hype and

You’ve probably seen the term tossed around in board meetings or tech news, usually accompanied by a picture of a glowing brain or a robot shaking hands with a human. But stripping away the sci-fi hype, how machine learning works is actually much more grounded—and fascinating—than the movies suggest. I remember the first time I

You’ve probably heard the term thrown around at dinner parties or seen it splashed across news headlines. Maybe you’ve even nodded along while secretly wondering, “Okay, but what actually is it?” You aren’t alone. Artificial Intelligence for beginners can feel like a maze of buzzwords. Between “neural networks,” “machine learning,” and “generative pre-trained transformers,” it’s