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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.

ALL TYPE SHORT LONG VIDEOS & STATUS (@darklove5525)

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Welcome to my channel! Here, you'll find a collection of short video statuses that capture the essence of different emotions, moods, and occasions. From funny and lighthearted to heartfelt and emotional, my videos are designed to evoke feelings and make you smile. Whether you're looking for a quick pick-me-up during a busy day, a way to express your feelings to someone special, or just want to share a moment with friends and family, my video statuses are perfect for any occasion. So sit back, relax, and enjoy the ride as we take a journey through the ups and downs of life through the magic of video statuses. Don't forget to hit that subscribe button to stay up-to-date with my latest uploads!

serene and relaxing atmosphere for those who need to unwind after a long day

2 Followers

Tranquility Lounge is a channel dedicated to providing a serene and relaxing atmosphere for those who need to unwind after a long day. The channel features a variety of calming sounds, including gentle instrumentals, soft nature sounds, and soothing ambient music. Listeners can expect to be transported to a peaceful oasis, where they can let go of stress and anxiety and fully embrace a sense of calm. The channel is designed to help individuals slow down their racing thoughts, improve their mood, and promote a better sense of overall well-being. Whether you're looking for a way to decompress before bedtime, need to recharge during the day, or simply want to find a moment of stillness, Tranquility Lounge is the perfect channel to help you achieve your relaxation goals.