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Public Square

12 Followers

"Welcome to Public Square, the digital hub where we bring the world of 'public' to your screen! Our channel is your virtual gathering place for all things related to public affairs, discussions, and the shared spaces that shape our communities. Join us as we explore the diverse facets of public life. From thought-provoking debates and interviews with experts to coverage of public events, we're here to keep you informed and engaged with the issues that matter most. Public Square is not just a channel; it's a community. We invite you to actively participate in conversations, voice your opinions, and contribute to the collective dialogue. Your perspective matters, and we want to hear it. Whether it's politics, urban planning, social issues, or simply the fascinating stories of public spaces around the world, we've got it all covered. Stay connected with the heartbeat of your community and the broader public sphere right here on Public Square. Our commitment is to provide insightful, balanced, and thought-provoking content that fosters understanding and unity. So, hit that subscribe button and be part of this digital town square, where the public comes together to share, learn, and grow. Public Square - Where Ideas Meet the World!"

Pool of aquarius - meditation portal

11 Followers

Hello everone, I am a music producer,dj and sound devolper from Belgium. what if talking to yourself is talking to your spiritual guide depending on your energy and toughts you create your perception find your right spiritual guide and you are free from chaos and fear so you can go trough life with a healty conversation to yourself Meditation channel for self healing and self awareness On my channel (resonance productions) you find my productions of cinematic and Ambient music https://rumble.com/c/c-5580393 On my channel (Ebgb 369) you find my productions of tech house https://rumble.com/c/c-5084020 On channel (Ebgb 369) you find a collection of tech house https://rumble.com/c/c-5084020

January's Stuff

5 Followers

Welcome, I play games such as Fashion Games , Roblox Games , Tower Defense, Some Steam games Etc! Channel- https://www.youtube.com/channel/UCJqEoexuEqt3pOtjcB3utNA?sub_confirmation=1 Don't forget to Subscribe and comment nicely down below. Thanks for stopping by the Family Friendly Channel. Don't Forget to check out Totally Awesome Tuesday Videos. My Friends-@Red Light house... https://www.youtube.com/channel/UCdqiLFm0RfEZhVM5iyYnP5w/featured @Captain Cactus Gamez... https://www.youtube.com/channel/UC9PQEA7v41bGZOW6gLWPhBg Please check out there channels... “For God so loved the world, that he gave his only begotten Son, that whosoever believeth in him should not perish, but have everlasting life.” John 3:16

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.