💦 FULL SET: En/category/curiosities - Complete Album!

Published on 2026/07/08
FOODPORN VOL33

I don't know if you woke up hungry today or not, but I can guarantee that after watching the videos in this new FoodPorn collection, you're going to feel that familiar empty pit in your stomach that won't go away until you eat something.

There are no half measures here. Massive burgers, perfectly cooked steaks, gooey melted cheese, pizzas loaded with toppings, irresistible desserts, and every kind of dish capable of making you hungry, even if you just finished eating.

So, you've been warned. If you end up ordering takeout, raiding the fridge, or throwing together an emergency sandwich, don't say I didn't warn you.



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- What can I get you?
- Hopefully your number.

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Published on 2026/07/02
TRAINING THE THING THAT COULD ONE DAY REPLACE YOU.

It may sound like an episode of Black Mirror, but it's already happening.

In several cities across India, thousands of people work wearing head-mounted cameras that record everyday tasks from a first-person perspective, such as folding a towel, peeling a mango, washing a dish, or preparing a meal. Every movement of their hands helps train the artificial intelligence that will power the next generation of humanoid robots.

Robots can't learn these skills by reading books or browsing the internet. They need to observe how we interact with the physical world. That's why every gesture, every twist of the wrist, and every small everyday action becomes valuable data.

For this work, they earn around 250 rupees an hour, a little over two U.S. dollars. For some, it's simply another source of income. For others, the feeling is unavoidable: they're teaching a machine how to do the very job that could one day replace them.

But perhaps the most interesting question comes next.




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Squirtle.






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Published on 2026/06/25
THE CHIEF KEEF ERA

There was a time, around 2012 and 2013, when the Internet had a very specific aesthetic.

Oversized hoodies, caps, chains, direct-flash photos, cheap-looking filters, serious poses, and an attitude of "I couldn't possibly give less of a fuck".





A big part of that look became popular thanks to Chief Keef, a rapper from Chicago who, at just 16 years old, shook up hip hop and turned the drill scene into a global phenomenon.

And it wasn't just about the music. That whole aesthetic ended up invading memes, social media, video games, YouTube videos and, basically, the entire Internet culture of the early 2010s.

For a while, it felt like everyone wanted to dress, pose, and give off that same energy.

Now Artificial Intelligence has decided to answer a question nobody asked, but everybody wants to see:

What would some of the most iconic groups from movies and TV look like if they had fully lived through the Chief Keef era?



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The slow motion clip of the day.

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Published on 2026/06/19
THE NEW BOT FARMS

Some people still imagine a bot farm as a room full of cheap computers endlessly generating fake clicks.
That image isn't entirely wrong, but reality is becoming far more sophisticated.

For years, bot farms operated mainly through software. Programs capable of automatically creating accounts, posting comments, following users, liking content and generating artificial traffic. Everything happened inside computers and servers. It was fast, cheap and effective, but also relatively easy for platforms to detect and block.

As social networks evolved, they began paying attention not only to what users were doing, but also to how they were doing it.
A real person doesn't tap at exactly the same speed every time. Doesn't move a mouse in the exact same way. Doesn't send hundreds of identical messages one after another. Platforms learned to recognize those patterns, and bot farms were forced to evolve.
That's where the story starts becoming interesting.





Instead of simply simulating human behavior through software, some operators started using real smartphones. Hundreds of them. Sometimes thousands.

Entire rows of devices connected to charging systems, internet connections and management tools, each phone behaving as if it were a genuine user account.
But now we're beginning to see something even more surreal.

Robotic arms physically interacting with screens. Pressing buttons. Opening apps. Typing messages. Scrolling through content. Even using artificial intelligence to maintain seemingly natural conversations, complete with emojis, spelling mistakes and responses that sound human.

At that point, the line between a fake user and a real one starts to blur. Because the objective hasn't really changed over the years.
Influencing public opinion. Artificially boosting popularity. Generating engagement. Manipulating trends. Promoting products. Creating the impression that thousands of people are interested in something when, in reality, much of the activity comes from machines interacting with other machines.

The difference is that what once looked like a simple script running on a computer is starting to resemble human behavior more and more closely.

And perhaps that's the most fascinating part. Not that robots are learning to behave like humans, but that the internet is gradually filling up with interactions where it becomes increasingly difficult to know whether there's actually a person on the other side.



# Watch video




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Today's slow-motion highlight.

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