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God in the Grocery Aisle Podcast

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Welcome to the God in the Grocery Aisle Podcast! Here, we talk about experiencing God's love and living out your faith in God every day. Through personal stories and real-life encounters, we share how people are meeting God in everyday life. Whether you are just starting your faith or want to grow closer to God, we hope to help you discover God in the simple moments of life. Join us as we explore God's presence in daily life, hearing God in everyday life, and trusting Him in every moment. We’ll talk about finding God in unexpected ways and seeing divine moments in ordinary places. Our channel is for anyone on an everyday faith journey, offering tips on practicing faith in God and discovering His goodness each day. Subscribe to be part of a community that celebrates faith in God and the many ways we experience God’s love in our everyday lives.

Boris Le Lay

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Boris Le Lay, né le 8 juillet 1981 à Quimper, est un blogueur et militant français néonazi. Nationaliste breton, il anime le site extrémiste breizatao.com et le site democratieparticipative, ouvertement néonazi, antisémite, homophobe et raciste. En fuite depuis plusieurs années au Japon, il cumule plus de dix ans de condamnations à de la prison ferme, une fiche S, une notice rouge et treize mandats de recherche. Ces mesures sont inopérantes en l'absence de convention d'extradition entre la France et le Japon.

BlogSong-Di-KrisLesarde

5 Followers

HEY....Benvenuti su Blog-Song Di KrisLesarde ! 🎶Se stai cercando musica che parli di te, delle tue emozioni e dei tuoi momenti più speciali, sei nel posto giusto. 👉 Cosa facciamo? Creiamo canzoni personalizzate su misura per ogni occasione: compleanni, anniversari, feste, sorprese e molto altro. Progettiamo playlist uniche utilizzate in eventi, concerti, spettacoli e feste di città. Trasformiamo i tuoi momenti in melodie indimenticabili, raccontando la tua storia attraverso la musica. 👉 Perché sceglierci? La nostra musica è pensata per emozionare, ispirare e connettere le persone. Ogni nota è creata con passione e attenzione ai dettagli, rendendo ogni canzone un’esperienza unica e irripetibile. 👉 Cosa troverai sul nostro canale? Canzoni personalizzate per tutte le occasioni. Playlist coinvolgenti per eventi e spettacoli. Short virali 🎧 Unisciti alla nostra community! Iscriviti al canale per restare aggiornato sulle ultime creazioni e per lasciarti ispirare da nuove melodie. 😊🎵

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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.

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