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Where Furry Friends Bring the Funny!

4 Followers

Welcome to Paws & Punchlines! 🎉🐾 Get ready to laugh out loud with the funniest, cutest, and most unpredictable moments from the animal kingdom! From mischievous cats and playful pups to quirky critters and hilarious wildlife, we bring you bite-sized doses of joy and giggles. Whether it’s a goofy face, a clumsy tumble, or just plain adorable antics, our furry stars never fail to entertain. Perfect for animal lovers and anyone in need of a smile! 👉 Subscribe now for daily LOLs, feel-good vibes, and a whole lot of paw-sitive energy! 🐶🐱😂

Just Drinking Problems

3 Followers

Just Drinking Problems is an interview-style show where we talk about the problems of today. Type of problems you may not be able to talk about at work or with certain friends and family members. Are we experts? Not at all, just normal people talking about things and having a drink. Maybe our opinions will help you shape your own or challenge the ones you already have. We aren't going to fix the world's problems but we can sure have a drink about it. If you have questions or topic ideas please email Blake at justdrinkingproblems@gmail.com Please remember to like, comment, and subscribe. Thanks for watching

Revive and Restore: Bring Old Things Back to Life

3 Followers

Sure, here is a possible description for your YouTube channel "Revive and RestoRevive and Restore is a Rumble channel dedicated to the art of restoration. We love bringing old things back to life, whether it's a piece of furniture, a vintage car, or even a historical artifact. We believe that restoration is more than just fixing something that's broken. It's about preserving history, giving new life to discarded objects, and creating something beautiful out of the ordinary. In our videos, we'll take you step-by-step through the restoration process, from start to finish. We'll share our tips and tricks, and we'll show you how to do it yourself. We'll also explore the history and significance of the objects we restore. Whether you're a seasoned restorer or just getting started, we hope you'll join us on our journey. We're passionate about restoration, and we love sharing our knowledge with others.

shan drinks

3 Followers

🌟 Welcome to Shan drinks World! 🌟 I'm Shayan! Throughout my life, I've ventured into various creative realms—from interior design to photography and videography, and even holistic health. However, I've recently found my true passion in the vibrant world of beverages. . I blend my past experiences into captivating drinks! . My videos are generally divided into two categories: cold and hot handmade drinks, where you learn to make attractive and tasty drinks according to your taste with beautiful garnishes at home. . shan drinks world is your destination for creative and delicious drink inspiration. Let's sip, taste and celebrate the art of drinks! . "Do you like drinks? I'd be happy to follow to my channel for fresh ideas and delicious concoctions."

Users can generate videos up to 1080p resolution, up to 20 sec long, and in widescreen, vertical or square aspect ratios. You can bring your own assets to extend, remix, and blend, or generate entirely new content from text.

2 Followers

We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar models learn. Fifteen years ago, Quiroga et al.1 discovered that the human brain possesses multimodal neurons. These neurons respond to clusters of abstract concepts centered around a common high-level theme, rather than any specific visual feature. The most famous of these was the “Halle Berry” neuron, a neuron featured in both Scientific American⁠(opens in a new window) and The New York Times⁠(opens in a new window), that responds to photographs, sketches, and the text “Halle Berry” (but not other names). Two months ago, OpenAI announced CLIP⁠, a general-purpose vision system that matches the performance of a ResNet-50,2 but outperforms existing vision systems on some of the most challenging datasets. Each of these challenge datasets, ObjectNet, ImageNet Rendition, and ImageNet Sketch, stress tests the model’s robustness to not recognizing not just simple distortions or changes in lighting or pose, but also to complete abstraction and reconstruction—sketches, cartoons, and even statues of the objects. Now, we’re releasing our discovery of the presence of multimodal neurons in CLIP. One such neuron, for example, is a “Spider-Man” neuron (bearing a remarkable resemblance to the “Halle Berry” neuron) that responds to an image of a spider, an image of the text “spider,” and the comic book character “Spider-Man” either in costume or illustrated. Our discovery of multimodal neurons in CLIP gives us a clue as to what may be a common mechanism of both synthetic and natural vision systems—abstraction. We discover that the highest layers of CLIP organize images as a loose semantic collection of ideas, providing a simple explanation for both the model’s versatility and the representation’s compactness.