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An IP Attorney's Reading of the Stable Diffusion Class Action Lawsuit – Law Offices of Kate Downing

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The image above was created via Stable Diffusion with the prompt "lawyers in suits fighting robots with lasers in a futuristic, superhero style." Looks like Matthew Butterick and the Joseph Saveri Law Firm are going to have a busy year! The same folks who filed the class action against GitHub and Microsoft related to Copilot and Codex a couple of months ago, have filed another one against Stability AI, DeviantArt, and Midjourney related to Stable Diffusion. The crux of the complaint is around Stability AI and their Stable Diffusion product, but Midjourney and DeviantArt enter the picture because they have generative AI products that incorporate Stable Diffusion. DeviantArt also has some claims lobbed directly at them via a subclass because they allowed the nonprofit, Large-Scale Artificial Intelligence Open Network's (LAION), to incorporate the art work submitted to their service into a large public dataset of 400 million images and captions.


Stable Diffusion AI art lawsuit, plus caution from OpenAI, DeepMind

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Check out all the on-demand sessions from the Intelligent Security Summit here. Three artists launched the lawsuit through the Joseph Saveri Law Firm and lawyer and designer/programmer Matthew Butterick, who recently teamed up to file a similar lawsuit against Microsoft, GitHub and OpenAI, related to the generative AI programming model CoPilot. The artists claim that Stable Diffusion and Midjourney scraped the Internet to copy billions of works without permission, including theirs, which then are used to produce "derivative works." In a blog post, Butterick described Stable Diffusion as a "parasite that, if allowed to proliferate, will cause irreparable harm to artists, now and in the future."


Artists file class-action lawsuit against AI image generator companies

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The artists taking action -- Sarah Anderson, Kelly McKernan, Karla Ortiz -- "seek to end this blatant and enormous infringement of their rights before their professions are eliminated by a computer program powered entirely by their hard work," according to the official text of the complaint filed to the court. Using tools like Stability AI's Stable Diffusion, Midjourney, or the DreamUp generator on DeviantArt, people can type phrases to create artwork similar to living artists. Since the mainstream emergence of AI image synthesis in the last year, AI-generated artwork has been highly controversial among artists, sparking protests and culture wars on social media. Enlarge/ A selection of images generated by Stable Diffusion. Knowledge of how to render them came from scraped images on the web.


GitHub Code Brushes uses ML to update code 'like painting with Photoshop'

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GitHub Next has unveiled a project called Code Brushes which uses machine learning to update code "like painting with Photoshop". Using the feature, developers can "brush" over their code to see it update in real-time. Several different brushes are included to achieve various aims. For example, one brush makes code more readable--especially important when coding as part of a team or contributing to open-source projects. Code Brushes also supports the creation of custom brushes.


Machine Learning Is Not Your Copilot: AI System Accused of Violating Open Source Copyright Licenses

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As previously reported in this space, the Court of Appeal for the Federal Circuit has ruled that an AI machine cannot be an inventor because it is not a "natural person." You can read those posts here and here. On November 11, 2022, a group of plaintiffs filed suit in the Northern District of California against several defendants, including GitHub, Inc., Microsoft Corporation, and OpenAI, Inc. and related companies to OpenAI. The issue stems from a product called Copilot and a product integrated into Copilot called Codex. To provide some context of the issue, some backstory may help.


A Brief History of Generative AI. How did we get to where we are today in…

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How did we get to where we are today in the field of generative AI? Generative AI will be the most disruptive technological innovation since the advent of the personal computer and the inception of the Internet with the potential to create 10s of millions of new jobs, permanently alter the way we work, fuel the creator economy, and displace or augment 100s of millions of workers in roles from computer programmers to computer graphics artists, photographers, video editors, digital marketers and yes, even journalists. Even with all the hype around generative AI this year, it's true power has not yet been seen or felt, in 2023 there will be significant innovations that will begin a revolution that will leave no industry or job function un-impacted in one way or another. Although Generative AI has been a focused area of AI research since 2014, it really took off in the latter half of 2022 when the technology was put into the hands of consumers with the release of several text-to-image model services like MidJourney, Dall-E 2, Imagen, and the open-source release of Stability AI's Stable Diffusion. This was quickly followed up by OpenAI's ChatGPT which mesmerized consumers with a version of GPT-3 re-trained on conversational dialog that seemingly had an answer for everything and delivered responses in a very human-like manner. At the same time VCs looking for the hot new technology to invest in caught the generative AI bug and both Stability AI and Jasper both became instant unicorns with Series A funding exceeding $100 million.


Where will AI Arts take us in 2023?

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The year 2022 will be another year that the world will remember. Many events have gone by, but their impacts on society and the world as a whole have changed the course of history forever. Recently, just at the end of 2022, the rise of Chat GPT has added to the huge step of technological advancement. The ability of Chat GPT has taken the internet by storm, allowing it to reach 1 million users in just 5 days. One of the standout features of ChatGPT is its ability to generate detailed and creative text descriptions, which is particularly useful when creating art prompts.


The lawsuit against Microsoft, GitHub and OpenAI that could change the rules of AI copyright - The Verge

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MB: I hope it's the opposite. I think in technology, we see over and over that products come out that skirt the edges of the law, but then someone comes by and finds a better way to do it. So, in the early 2000s, you had Napster, which everybody loved but was completely illegal. And today, we have things like Spotify and iTunes. And how did these systems arise?


Ownership of AI-Generated Code Hotly Disputed G.R. Jenkin & Associates

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Ownership of AI-Generated Code Hotly Disputed Share Search: Explore by topic FOR THE TECHNOLOGY INSIDER Topics Follow IEEE Spectrum Support IEEE Spectrum IEEE Spectrum is the flagship publication of the IEEE -- the world's largest professional organization devoted to engineering and applied sciences. Our articles, podcasts, and infographics inform our readers about developments in technology, engineering, and science. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. IEEE websites place cookies on your device to give you the best user experience. By using our websites, you agree to the placement of these cookies. To learn more, read our Privacy Policy. Enjoy more free content and benefits by creating an account Saving articles to read later requires an IEEE Spectrum account The Institute content is only available for members Downloading full PDF issues is exclusive for IEEE Members Access to Spectrum's Digital Edition is exclusive for IEEE Members Following topics is a feature exclusive for IEEE Members Adding your response to an article requires an IEEE Spectrum account Create an account to access more content and features on IEEE Spectrum, including the ability to save articles to read later, download Spectrum Collections, and participate in conversations with readers and editors. For more exclusive content and features, consider Joining IEEE . Join the world's largest professional organization devoted to engineering and applied sciences and get access to all of Spectrum's articles, archives, PDF downloads, and other benefits. Learn more Close Access Thousands of Articles -- Completely Free Create an account and get exclusive content and features: Save articles, download collections, and talk to tech insiders -- all free!


AI Year in Review: A Busy 2022 for AI and IP Promises Even More in 2023

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"Throughout 2021 and 2022, the world began to experiment with a massive influx of commercially available AI-assisted and AI-powered tools that can be used, whether knowingly or unknowingly, during the process of creating, researching, and innovating. Looking ahead to 2023, we will start witnessing the legal and regulatory impact of these tools." In general, the adoption of artificial intelligence (AI) and machine learning technologies has the potential to impact society in many ways. These technologies can automate tasks and make them more efficient, which can lead to job displacement and other economic impacts. They can also be used to make decisions that affect people's lives, such as in the criminal justice system or in hiring, which raises ethical concerns.