Blogs by Mukul S.

It’s 5:45 PM. The office is still buzzing—keyboards clatter, coffee machines hiss, and eyes flicker between Excel sheets and emails. But there’s one employee, who arrived earlier than most today—just like every other day. He was at his desk by 8:50 AM, coffee in hand, already deep into numbers before the rest had even logged in. And yet, as the clock ticks closer to 6, he still hesitates. His bag is packed. His work is done. But something holds him back from walking out. It’s not workload. It’s not deadlines. It’s not even traffic. It’s something else. It’s guilt. It’s perception. It’s fear. The "Always-On" Employee In every workplace, there’s usually that one person who never says no to work, rarely takes leaves, and is the last to leave—even if their task list was cleared hours ago. They are committed, reliable, and skeptical. Skeptical of how they’ll be perceived if they leave on time. Skeptical of judgment if they take a few days off. Skeptical of whether they’re “doing e...

It was 2:37 a.m. when I jolted awake — not because of a sound or a nightmare, but because of a thought. What if I messed that up today? What ifsomeone says something that I don't like? What if…? There was no danger in the room. No threat outside the door. Just silence. Stillness. And my mind, racing at a hundred miles an hour over something that hadn’t even happened, giving frame to sentences, emotions from a thought that just cropped. Sound familiar? The Mind: A Double-Edged Sword Human beings are extraordinary. We can write symphonies, send rovers to Mars, love across distances, and imagine futures that don’t yet exist. But this gift of imagination? It comes with a cost. We don’t just think — we overthink. We don’t just feel — we amplify. We don’t just remember — we relive. Unlike animals who react only to the present, we live simultaneously in the past that cannot be changed and in the future that hasn’t arrived. And this constant time travel in our minds creates a strange kind ...

Generative Adversarial Networks (GANs) are like the ultimate frenemies of the AI world. First introduced by Ian Goodfellow in 2014, these neural networks have taken content creation to a whole new level—creating everything from stunning art to hilariously bad deepfakes. If you've ever seen a celebrity "say" something outrageous that they never actually said, chances are, a GAN was behind it. Let’s dive into this fascinating technology with a pinch of humor and some real-world analogies! What is a GAN? Imagine a forger trying to create counterfeit money while a detective is constantly working to spot the fake bills. The forger (Generator) gets better over time, and the detective (Discriminator) sharpens their skills too. This endless game of cat and mouse is exactly how GANs work! Components of a GAN 1. Generator: Think of this as the AI’s creative artist who starts with random noise and attempts to make something visually appealing—sometimes succeeding, sometimes creating...