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Verdict with Ted Cruz Verified

21,820  Followers

Join Senator Ted Cruz and co-host Ben Ferguson as they break down the most important news stories of the day and reveal what they mean for you. On Verdict with Ted Cruz, you will go behind the scenes of the political debates that define our country. Verdict with Ted Cruz is being brought to you by Jobs, Freedom, and Security PAC, a political action committee dedicated to supporting conservative causes, organizations, and candidates across the country. In 2022, Jobs, Freedom, and Security PAC plans to donate to conservative candidates running for Congress and help the Republican Party across the nation.

Tech Ventures ltd.

12  Followers

🚀 Tech Ventures Ltd. | Innovating Your Ideas Into Reality! At Tech Ventures Ltd, we transform complex tech into simple, actionable solutions. Whether you're scaling a business or exploring the digital world — we help you thrive with innovation that matters. 📌 What You'll Find Here: 💡 Expert Tech Tutorials & How-To Guides 🛠️ Custom Software & Web Development Insights 🛡️ Cybersecurity Tips & Ethical Hacking Basics 🧠 Productivity Tools, Reviews & Tech Walkthroughs 🌐 Real-world IT Solutions for Modern Businesses 📲 Subscribe now and turn your curiosity into capability.

Düz Dünya Teorisi, Kadim Uygarlıklar, Uzay ve Evren ile ilgili Teoriler ve Yalanlar, Dinler Tarihi ve Yanlış Bilinenler

25  Followers

Sırlar Alemi Kanalı, sizleri bilinmeyene yolculuğa çıkartıyor. İlginç konular, geçmiş uygarlıklar, dinler tarihi, dünya, evren, uzay, bilim, teknoloji, değişen dünya düzeni, gelecek ve geleceğin bizlere neler kazandırıp neler kaybettireceği, doğrular ve doğru bildikleriniz ile yanlışları SIRLAR ALEMİ kanalında sizlerle paylaşıyorum. Bazen bir belgesel tadında, bazen bir bilgilendirme olarak, bazen kısa bir video ile bazen de uzun ve heyecanlı videolarla geçmişten günümüze ışık tutuyor ve gerçekleri gün yüzüne çıkartıyorum. Sırlar Alemi kanalı daha önce de vardı ve yine bana aitti ancak Google hesabının saldırıya uğraması sebebiyle Sırlar Alemi bundan böyle bu kanaldan devam edecektir. Aramıza katılarak bilinmeyene Yolculuğa Hazır mısın? Abone Olmayı Unutma! SIRLAR ALEMİ

Vídeos engraçados variáveis e de terror

6  Followers

Bem-vindo ao Mundo dos Animais de Estimação, onde você pode encontrar muitos vídeos fofos, hilários e adoráveis, compilações de animais fofos, tentar não rir de desafios, falhas, vitórias e vídeos virais engraçados sobre Animais de Estimação e Animais. Se você é um amante dos animais, você está no lugar certo. Porque vamos trazer para você vídeos diários dos animais de estimação mais fofos do mundo. Você está pronto para isso? Certifique-se de se inscrever e apertar o botão para receber atualizações diárias. obrigado

Users can generate videos up to 1080p resolution, up to 20 sec long, and in widescreen, vertical or square aspect ratios. You can bring your own assets to extend, remix, and blend, or generate entirely new content from text.

9  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.