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First Reformed Evangelical Presbyterian Church

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We are a Presbyterian and Reformed church committed to Christ-centered preaching, scriptural fidelity, and spiritual growth. Explore a variety of content, including expository sermons, Reformed theology teachings, devotionals, and discipleship resources like Covenant Pathways and Dwell in the Word. Join us as we dive deeper into God's Word, worship faithfully, and grow together in faith. Subscribe for content that equips and inspires your walk with Christ!

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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.

Fit for Life: Sustainable fitness habits for long-term health and well-being.

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Fitness, nutrition, and habits are three key components of a healthy lifestyle. Fitness includes regular physical activity, such as cardiovascular exercise, strength training, and flexibility exercises. Regular exercise helps improve cardiovascular health, build strength and endurance, and improve overall physical well-being. Nutrition is the fuel that powers the body. Eating a balanced diet that includes whole foods like fruits, vegetables, whole grains, lean protein, and healthy fats can help support good health, maintain a healthy weight, and reduce the risk of chronic disease. Healthy habits are crucial for long-term success in fitness and nutrition. Habits such as regular exercise, healthy eating, staying hydrated, and getting enough sleep can help improve overall health and well-being. Making small, sustainable changes to your lifestyle can lead to big improvements over time. It's important to remember that everyone's fitness, nutrition, and habit needs are unique. It's important to listen to your body, work with a qualified professional if needed, and focus on making progress towards your own personal goals. With commitment and consistency, anyone can achieve a healthy lifestyle that supports their physical, mental, and emotional well-being.