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AspiringChristian

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Inspiring other believers through the amplification of Christian testimonies! The first testimony series here is focusing in on 100 atheist converts to Christianity. As of November 2024 this channel is featuring 50 atheism to Christianity testimonies. The testimonies feature professors, engineers, and other critical thinkers who could no longer be fooled by Atheism. All Glory to Jesus Christ! The 2nd testimony series began in November 2024, focusing on Muslim converts to Christianity. Content is used by permission. I also play piano. Occasionally I'll post a video where I'm playing piano. About me: *Graduated from atheism in 2014 *Graduated from homelessness in 2017(6 months homeless) *Graduated from college with a bachelors in History in 2015 Follow on X: https://x.com/Converts4Christ Support This Mission: https://www.buymeacoffee.com/el23ft161l

Aspire Education

6  Followers

Welcome to Aspire Education—Your Guide to Homeschooling & Personalized Learning! We simplify the confusion and chaos surrounding education so you can confidently teach and support your child. Whether you're a homeschool parent, educator, or just exploring alternatives to traditional schooling, we've got you covered! 🔹 Homeschooling Made Easy – Step-by-step guides, homeschool curriculum tips, and real-life strategies 🔹 Neurodiverse Learning – Supporting ADHD, autism, and unique learning styles 🔹 Parent & Teacher Coaching—Homeschool Tips for educators 🔹 High School & College Prep – Helping teens thrive beyond homeschooling Have a quick question or need expert advice for your child? Leslee’s got you covered. Connect with her directly on Minnect for fast, individualized support. 👉 Ask Leslee on Minnect - https://app.minnect.com/expert/LesleeDirnberger 📩 Subscribe now and turn chaos into calm! Learn more at www.aspireeducation.us

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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.

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