SCL Group

Learning a new language is often associated with vocabulary lists, grammar exercises, and reading practice. But typing can also be an interesting way to become more familiar with how words look, sound, and are structured.

One format I recently found interesting is the use of real metro station names as typing material.

Instead of typing random words, the learner follows an actual subway route and enters station names one after another. A guide to this idea can be found on Metro Typing, which documents a Korean typing game built around real railway and subway stations.

What makes this format interesting from a language-learning perspective is that station names are not completely arbitrary. They are tied to geography, repeated during travel, displayed on maps, and often encountered in both the local writing system and romanization.

For example, a learner studying Korean may repeatedly encounter names such as Seoul, Hongdae, Gangnam, or…

Ever find yourself scrolling through endless app stores, yearning for a game that will genuinely send shivers down your spine? Are you tired of predictable jump scares and rehashed horror tropes? Well, my friends, prepare yourselves, because today we're stepping into a world where every creak of the floorboards could be your last, and silence is truly golden. We're talking about a mobile game that has taken the horror world by storm, a game that has spawned countless YouTube reactions, endless memes, and an undeniable cult following: Granny.

Now, before you picture a sweet old lady offering you freshly baked cookies, let me disabuse you of that notion right away. This Granny is not the kind you visit for tea and crumpets. Oh no, this Granny has a hammer, an insatiable desire to keep you within her decrepit abode, and a hearing sharper than a freshly honed razor. If you're…

The first time I played Snow Rider , I didn’t even realize what I was committing to. One second I was like, “Alright, quick run,” and the next I was staring down an ice slope that wouldn’t slow down for anything—just an automatic downhill rush, instant acceleration, and obstacles everywhere like the mountain wanted me gone.

It’s an endless sledding game, but it doesn’t feel like slow “endless runner” pacing. It feels like the game is constantly whispering, don’t blink. Trees, rocks, and those ridiculous snowmen show up at the worst possible times. You don’t get to chill and plan a whole route; you steer, you jump, and you adapt while the track keeps coming at you.

And honestly? That’s why I got obsessed.

The real skill: looking forward without freezing

The obvious advice—“watch the road”—sounds boring, but it’s the difference between a clean run and a humiliating wipeout. I…

Have you ever taken a great travel photo, only to notice later that there are several strangers walking through the background?

I’ve been experimenting with AI image editing recently, especially object and person removal.

What surprised me is that detecting a person is usually not the difficult part anymore. The harder problem is reconstructing whatever was hidden behind them.

For example, removing someone standing in front of a plain wall is relatively easy. But things get much harder when the person overlaps with furniture, another person, text, reflections, or repeating patterns.

I tested this with a small browser-based tool called Person Remover on a few travel photos.

The results were quite different depending on the background. Photos with beaches, roads, grass, or simple walls generally worked well. Complex indoor scenes were much less predictable.