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Flex Powerline Member: Jack Bosma

5 Followers

Flex Powerline Member: Jack Bosma BE A PART OF THE FLEX/B-EPIC POWERLINE OPPORTUNITY NOW! Welcome to FLEX Powerline! Welcome to FLEX Powerline! We are thrilled to have you on board and congratulate you on taking this exciting step towards unlimited opportunities. Get ready to embark on a journey that will not only transform your life but also empower you to create an impact in the world of AI and beyond. At FLEX Technologies, we believe in the power of XO AI and its potential to revolutionize industries. With the launch of our flagship product, RUBI, and the support of microservices like SPI, Xtract, and Personify, we are shaping the future of AI-powered experiences. As a member of the FLEX Powerline, you are positioned to tap into a groundbreaking business model that offers unmatched potential for financial success. By joining now, you secure a strategic position in our commission tree and open doors to lucrative earnings. You are at the forefront of this exciting opportunity! Below find the login credentials to your back office that will track everything in your business and your organization. Sponsor: Jack Bosma Email: tutorjacknetwork@gmail.com Phone:8622001469 Username: jackbosma Welcome: https://www.flexpowerline.com/jackbosma Replicated Website: https://www.myflex.ai/jackbosma https://www.bepicbuilder.com/jackbosma Get ready to unlock your potential, unleash the power of AI, and embark on a journey of growth and achievement. We can't wait to see you thrive in the FLEX community! If you have any questions or need assistance, please don't hesitate to reach out to our dedicated support team. We're here to help you make the most of your FLEX experience. Once again, welcome to FLEX. Get ready to soar to new heights and embrace the limitless possibilities that lie ahead. https://www.flexpowerline.com/jackbosma Let's collaborate! Thanks, Jack Bosma https://meetn.com/jackbosma tutorjacknetwork@gmail.com "Inspect what you expect."

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.

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.

Nimble Muse

3 Followers

My wife and I have been creating and writing in one form or another for over twenty years. Our digital prints and journals features our original poetry and our own collaborated designs. We love spending an evening creating... and maybe a hot mocha on the side for a little inspiration. Ours is a labor of love and our truest hope is that somewhere along the way you find a cool breeze of encouragement from our journals. You’re welcome here, so have a latte and visit a while.