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PopTopHits Mix Vibes: Nonstop Pop Music

14  Followers

Join us on a musical journey with some of the greatest voices in the industry! This video features a diverse collection of hits from Ariana Grande's chart-topping pop, Bryan Adams' timeless rock anthems, and Joni Mitchell's soulful folk tunes. Enjoy the rebellious spirit of Avril Lavigne, the country-pop crossover success of Shania Twain, and the iconic ballads of Celine Dion. Relive the nostalgic hits from Selena Gomez and be captivated by Adele's powerful vocals. Whether you’re in the mood to sing along, relax, or be inspired, this playlist has it all. Perfect for fans of all genres!

Pimple Popper

11  Followers

Welcome to my channel : " Pimpel Popper" Hopefully this channel will show you a "window into my world" as a dermatologist. I\\\'d like to educate you about different diseases of the skin, hair, and nails, and give you some skin care advice as well. Along the way, you will still see your favorites, what has become my "bread and butter" so to speak: pimples popped, blackheads extracted, cysts and lipomas excised. Hope you enjoy, learn a little about dermatology and how to take better care of your skin, and thank you so much for watching! Happy Popping!

Let's go live!!!

10  Followers

PT: Sou João ( Gamingpops), um pai que se diverte a jogar com o seu 👑 filho 👑. Voltei a interessar-me pelos jogos / streams e como tal pretendo fazer streams sempre que possivel. Junta-te a mim para criar a nossa comunidade!!! https://linktr.ee/gamingpops ENG: I'm Joao (Gamingpops), a dad who enjoys playing games with his 👑 son 👑. I'm interested in games / streams again and as such I intend to stream whenever possible. Join me in building our community!! https://linktr.ee/gamingpops

POP WIZARD

10  Followers

Welcome. This is the POP WIZARD, and I will be covering all manner of pop culture subjects. They will range from classic science fiction, fantasy, and horror authors and characters, to pulp novels, comic books, movies, and tv. Please like, share, and subscribe if you enjoy the videos, and leave comments. I have several links if you wish to support my work. Thank you, and may the POP WIZARD light your path to adventure! Affiliate link: Where I make my videos. https://invideo.sjv.io/c/6057026/883681/12258 Merch store: https://popwizard.dashery.com Links: https://www.paypal.com/paypalme/VashHarlock999 ↗️ https://rumble.com/c/c-6129534/about ↗️ https://rumble.com/c/c-5199340 ↗️ www.youtube.com/@BibleGrace88 https://www.bitchute.com/channel/kZ31BTXLATmZ/ ↗️ @BibleGrace88 @POPWIZARD @JuddAlbring @FreedomForceBattalion @melissaredpill @JuddAlbring @TruthCollectives@chilvera09 @LionofJudah

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.

9  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.

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