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Soul Fire Ascension With Raven and Lisa Lovelight

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Mirror Mirror on the wall can you tell us the truth of it all. Welcome to Soul Fire Ascension with Raven and Jessamy As children we are not responsible for the programming we received, however as adults it is our responsibility to unlearn what we have learned and discover the real truth. It is our goal to awaken and activate others by deconstructing the programming. Expose others to different modalities of healing arts and education of ancient beliefs as well as new ones. Helping others realize who they are. helping others to connect with their higher selves and realize the God or Goddess dwells within us all. To reveal to the collective, source and the laws of one. To help others realize that we are self-healing. To help others to walk a path of beauty and love. When we heal ourselves, we heal our ancestors and future generations. Please share and subscribe and don’t miss out !

Cooking & Vlogs

5  Followers

Hi my name is Tena Raheem and I am here to help people who love Pakistani & Indian food recipes. In Shaa Allah I will upload new recipes videos every Day. subscribe to my channel on Rumble (Kitchen with Tena Raheem)for new cooking recipe videos. This channel just doesn't at Pakistani or Indian style dishes, it is also various english meals such as breakfast, healthy diet recipes, Chinese cuisine, Arabic cuisine, American snacks, milkshakes, smoothies, beverages, desserts, cakes, and many more. Kitchen With Amna is a Hub of Multi Foods.

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.