Zarya Of The Dawn
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Zarya Of The Dawn
''Zarya of the Dawn'' is a short comic book written by Kris Kashtanova and illustrated entirely with the artificial intelligence software Midjourney, which resulted in a copyright dispute. Plot Zarya awakens in an abandoned New York City with no memories. A postcard from a person named Rusty falls out of their pocket, allowing them to remember their name and home address. After returning home and getting new clothes, Zarya meets Raya, their "inter-world assistant", who tells Zarya that a mental health crisis in 2023 led to the almost complete destruction of life on earth. Raya then takes Zarya to Zatura World, the world of acceptance. There, Zarya meets a mysterious woman and learns to accept their feelings. When they return to Central Park, it is covered in greenhouses. Zarya remarks that "acceptance is the first step of letting go". Copyright dispute In September 2022, Kashtanova applied for the comic's copyright protection with the United States Copyright Office, but they did n ...
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Midjourney
Midjourney is an independent research lab that produces an artificial intelligence program under the same name that creates images from textual descriptions, similar to OpenAI's DALL-E and Stable Diffusion. It is speculated that the underlying technology is based on Stable Diffusion. The tool is currently in open beta, which it entered on July 12, 2022. The Midjourney team is led by David Holz, who co-founded Leap Motion. Holz told ''The Register'' in August 2022 that the company was already profitable. Users create artwork with Midjourney using Discord bot commands. History Midjourney was founded by David Holz, co-founder of Leap Motion. It first entered open beta on July 12, 2022. However, on March 14, 2022, the discord server launched with a request to post high-quality photographs to Twitter/Reddit for system's training. The company has been working on improving its algorithms, releasing new versions every few months. Version 2 of their algorithm was launched in April 2022 ...
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United States Copyright Office
The United States Copyright Office (USCO), a part of the Library of Congress, is a United States government body that maintains records of copyright registration, including a copyright catalog. It is used by copyright title searchers who are attempting to clear a chain of title for copyrighted works. The head of the Copyright Office is the Register of Copyrights. Shira Perlmutter, who took office on October 26, 2020,and currently serves as Register. The Copyright Office is housed on the fourth floor of the James Madison Memorial Building of the Library of Congress, at 101 Independence Avenue SE, in Washington, DC. History The United States Constitution gives Congress the power to enact laws establishing a system of copyright in the United States. The first federal copyright law, called the Copyright Act of 1790, was enacted in May 1790 (with the first work being registered within two weeks). Originally, claims were recorded by Clerks of U.S. district courts. In 1870, copy ...
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Artificial Intelligence And Copyright
In the 2020s, the rapid increase in the capabilities of deep learning Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. De ...-based generative artificial intelligence models, including text-to-image models such as Stable Diffusion and large language models such as ChatGPT, are posing questions of how copyright law applies to the training and use of such models. Because there is limited existing case law, experts consider this area to be fraught with uncertainty. The largest issue regards whether infringement occurs when the generative AI is trained or used. Popular deep learning models are generally trained on very large datasets of media web scraping, scraped from the Internet, much of which is copyrighted. Since the process of assembling training data involves making copies of copyrigh ...
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Artificial Intelligence Art
Artificial intelligence art is any artwork created through the use of artificial intelligence. Tools and processes Imagery There are many mechanisms for creating AI art, including procedural 'rule-based' generation of images using mathematical patterns, algorithms which simulate brush strokes and other painted effects, and artificial intelligence or deep learning algorithms such as generative adversarial networks and transformers. One of the first significant AI art systems is AARON, developed by Harold Cohen beginning in the late 1960s at the University of California at San Diego. AARON is the most notable example of AI art in the era of GOFAI programming because of its use of a symbolic rule-based approach to generate technical images. Cohen developed AARON with the goal of being able to code the act of drawing. In its primitive form, AARON created simple black and white drawings. Cohen would later finish the drawings by painting them. Throughout the years, he also began ...
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Alice And Sparkle
''Alice and Sparkle'' is a 2022 illustrated children's book published by American technology product designer Ammaar Reshi. Reshi created the book using artificial intelligence programs ChatGPT and Midjourney in one weekend, which sparked controversy among artists, both in regard to the copyright status of the book and the quality of the illustration and text. Plot A girl named Alice discovers a group of magical and benevolent artificial intelligence beings. She knows that artificial intelligence is powerful, and that it has the power to do good and evil depending on how it is used. One day, she creates her own artificial intelligence and names it Sparkle. Sparkle helps Alice with her homework and plays with her, and they quickly become good friends. However, Sparkle soon grows more powerful and begins to make its own decisions, which makes Alice both proud and scared. She knows that it is her responsibility to guide Sparkle to do good, not evil. Together, Alice and Sparkle use the ...
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Text-to-image Generation
A text-to-image model is a machine learning model which takes as input a natural language description and produces an image matching that description. Such models began to be developed in the mid-2010s, as a result of advances in deep neural networks. In 2022, the output of state of the art text-to-image models, such as OpenAI's DALL-E 2, Google Brain's Imagen and StabilityAI's Stable Diffusion began to approach the quality of real photographs and human-drawn art. Text-to-image models generally combine a language model, which transforms the input text into a latent representation, and a generative image model, which produces an image conditioned on that representation. The most effective models have generally been trained on massive amounts of image and text data scraped from the web. History Before the rise of deep learning, attempts to build text-to-image models were limited to collages by arranging existing component images, such as from a database of clip art. The inverse tas ...
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