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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.

4 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.

StoryTime With Trinity and Evelyn

2 Followers

Trinity, Evelyn and family make story time a daily activity. Reading books together encourages brighter minds, wider thinking, expands the imagination, and creates the perfect bonding experience; giving mums, dads, guardians, and kids plenty to discuss and learn. It broadens the vocabulary, expands creativity, and challenges one’s thinking. Sometimes life, work, and other necessities can get in the way of story time at home. So we decided to bring story time to you on a personal level, giving your children the feeing they are actually experiencing the story with us and discussions that come with it, first hand.

Nature Lynx: Your Place for Nature Relaxation Scenes

2 Followers

Hello and welcome to Nature Lynx, where you can find anything about nature. Weather, you are trying to relax, sleep, study, meditate, or to learn something cool about nature than this is the channel for you. There will be plenty of relaxation and learning going on. I hope you enjoy! Please subscribe to support this channel. DISCLAIMER: Some of the links that are included in this description could be affiliated links. Making a purchase of a service or product through the links provided could lead to me making a small commission. There will be no additional charge to you! I would like to thank you for supporting me so that I can still provide you with free content. https://linktr.ee/nature_lynx Thank you, Nature Lynx