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Published on 2025/02/27

PLAYING WITH PHOTOSHOP AI





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Sharing with you another batch of videos we received a while ago, where they play around with Photoshop’s AI to auto-complete photos of celebrities, album covers, and other iconic images.
























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➡️ Let's do real, be real with Tantaly, the sex doll torso leader




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Embarrassing moments.






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THE NEW PANGEA

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There is a geological theory suggesting that in about 200-300 million years, the movement of tectonic plates will once again merge the current continents into a supercontinent, similar to what happened with Pangea around 300 million years ago.

This concept is part of the supercontinent cycle, where landmasses drift apart and reunite over hundreds of millions of years due to continental drift. Geologists have proposed several possible scenarios for this future supercontinent, with some of the most discussed being:

Pangea Proxima: A supercontinent that would form in the same region as the ancient Pangea.
Novopangea: Would emerge if the Atlantic continues to expand while the Pacific closes, pushing continents into a new union pattern.
Aurica: Would form if the Indian Ocean disappears and the current continents shift toward the equator.
Amasia: In this scenario, North America and Asia would merge near the North Pole.

Although this is an extremely slow process, scientists can predict it by measuring the movement of tectonic plates. So, if the planet is still standing in 250 million years, we might once again have a single continent.



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Shall we take a walk?






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KEEP THE FERRIS WHEEL SPINNING

A power outage isn't enough reason to shut down the ride. Thanks to his physics skills and his he/him pronouns, people didn't have to head home with that bitter feeling you get when things don't go as planned.



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The day's slow-motion moment.






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HOW THEY'RE MADE

You see them every day, silently waiting for you to choose. You approach them, size them up, take a deep breath, and pick the ones that motivate you the most—and from that moment, there’s no turning back. They’re part of your daily routine, helping you grow stronger and push your limits. But behind these workout companions you grip so firmly lies a story you've never imagined. Have you ever wondered how they're made, or how they come into existence?



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Today's slow-motion special.






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THE DOR BROTHERS

The Dor Brothers is a leading video production company powered by artificial intelligence (AI), founded by the Dor brothers in Berlin, Germany. They specialize in creating music videos, commercials, and creative projects using advanced AI technology to generate innovative, high-quality visual content.

They’ve produced over 200 music videos and countless ad campaigns, racking up more than 100 million views worldwide. Their work has been featured in outlets like Forbes, where they’re praised for pushing the limits of generative AI in filmmaking.

One of their latest projects is an AI-generated video for the song “Chinese Children” by Devendra Banhart—an impressive fusion of music and cutting-edge tech.



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The slow motion of the day.






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THE KUNGFU BOT FROM UNITREE ROBOTICS COULD REPLACE YOUR BOUNCER

Unitree Robotics is a Chinese company specializing in advanced robotics. Founded in 2016 by Xingxing Wang and based in Hangzhou, the company gained fame for its robotic dogs, known for their agility, stability, and affordability compared to competitors like Boston Dynamics.

Although these robots are often marketed as tools to assist humanity in research, industry, and consumer applications, the truth is that they could also be deployed in warfare. Best not to dwell on that too much—like drones, they are a total game-changer.

For now, let’s focus on Unitree Robotics' latest masterpiece: the Kungfu BOT, a bipedal version of their robotic dogs with a humanoid appearance and the ability to perform an impressive 720-degree spinning kick. Imagine facing one of these if you step out of line at a bar!



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WALK, RUN, AND BREAKDANCE

In this video, Atlas, the crown jewel of Boston Dynamics, demonstrates policies developed through reinforcement learning, incorporating references from human motion capture and animation. This work was conducted as part of a research collaboration between Boston Dynamics and the Robotics and AI Institute (RAI Institute).



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