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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.

London Unveiled: Embracing Diversity, Uniting Communities Verified

3 Followers

Welcome to 'London Unveiled,' where we embark on a journey to unravel the rich tapestry of cultures, traditions, and communities that make up the vibrant city of London. Our mission is to shed light on misrepresented communities, challenge stereotypes, and promote unity through understanding. In a world where misinformation and prejudices can divide us, we're committed to showcasing the real stories and experiences of London's diverse population. Join us as we engage in open conversations, explore cultural events, and amplify authentic voices that often go unheard. Our channel is a safe space for fostering empathy, encouraging dialogue, and learning from one another. Together, we'll bridge gaps, break down barriers, and celebrate the unique contributions that each community brings to our city. Subscribe to 'London Unveiled' for thought-provoking discussions, enlightening stories, and a journey towards a more inclusive and united London. Let's embrace diversity and forge connections that strengthen the fabric of our beloved city."

Long Way to the Top

3 Followers

This is Long Way to the Top with Shayne Brian. In the words of the immortal ACDC, "it is harder than it looks". These interviews will give you a glimpse into the lives of the artists that we have sung along with, danced and rocked out to. Some go deep into their past and others celebrate their recent releases, but all of them show that regardless of who you are…it is always a long way to the Top. This series was developed off the back of both The Bad Boys Podcasts and the wonderful chats I have had with artists on LAFM. Some are brand new and some are resurrected interviews from the archives. Even now, after countless interviews, I still get a nervous excitement in chatting with my guests, and I hope that will never change because it is that admiration for their music that I want you to experience as you embark on your journey with them on their long way to the top.

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