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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.

Baby Dogs - Cute and Funny Dog Videos Compilation #20 | Aww Animals

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Watching funny baby dogs is the hardest try not to laugh challenge. Baby dogs are amazing creature because they are the cutest and most funny. This is the cutest and best video ever. It is funny and cute! Hope you like our funny compilation and don't forget to SUBSCRIBE us and share with your friends! 👉Subscribe for new video: https://rumble.com/register/shewoon/...... #babydog #funnydog #aww #animals #cutedog --------------------------------------------------------------------------------------------------- The featured clips in our video are used with permission from the original video owners. The highlight clips can be done by our fans! If you see a clip that you own that you did not submit or give consent for use, we have likely received false permissions and would be happy to resolve this for you! Please drop us a line at http://bit.ly/AwwAnimals ►►►►►►►►► THANKS FOR WATCHING◄◄◄◄◄◄◄◄◄ ► AND DON'T FORGET TO LIKE COMMENTS AND SUBSCRIBE! ◄

20 и НАЗАД

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На нашем канале представлены интервью инсайдеров, которые служили в тайных космических программах, прошли программу "20 и обратно". С помощью временных космических технологий их забирали в раннем детстве из дома, готовили на секретных военных базах США, потом отправляли служить в космическом спецназе, техниками, пилотами в темном флоте или даже рабами на базах на Луне и Марсе, в зависимости от навыков, индивидуальных способностей и сдачи соответствующих тестов на профпригодность. После окончания контракта на 20 или более лет, им просто стирали память и через технологии возрастной регрессии возвращали обратно домой в 5-8 летний возраст. А воспоминания иногда пробивались, как кошмарный сон ребенка. Вы можете верить или не верить или отнесетесь как к сказке или фантастике, это Ваш выбор. Но как минимум, когда произойдет Раскрытие, Вы не будете шокированы от неожиданно свалившейся на Вас информации об НЛО, засекреченных технологиях скрывавшихся от 99% населения планеты и др.