The main topic of the article is the backlash against AI companies that use unauthorized creative work to train their models.
Key points:
1. The controversy surrounding Prosecraft, a linguistic analysis site that used scraped data from pirated books without permission.
2. The debate over fair use and copyright infringement in relation to AI projects.
3. The growing concern among writers and artists about the use of generative AI tools to replace human creative work and the push for individual control over how their work is used.
Main topic: Copyright protection for works created by artificial intelligence (AI)
Key points:
1. A federal judge upheld a finding from the U.S. Copyright Office that AI-generated art is not eligible for copyright protection.
2. The ruling emphasized that human authorship is a fundamental requirement for copyright protection.
3. The judge stated that copyright law protects only works of human creation and is not designed to extend to non-human actors like AI.
AI hallucinations and the accuracy of different language models were examined in a report by Arthur AI. The report found that OpenAI's GPT-4 performed the best and hallucinated less than its previous version. Meta's Llama 2 hallucinated more overall, while Anthropic's Claude 2 excelled in self-awareness. It is crucial for users and businesses to test AI models on their specific needs.
Main topic: The use of copyrighted books to train large language models in generative AI.
Key points:
1. Writers Sarah Silverman, Richard Kadrey, and Christopher Golden have filed a lawsuit alleging that Meta violated copyright laws by using their books to train LLaMA, a large language model.
2. Approximately 170,000 books, including works by Stephen King, Zadie Smith, and Michael Pollan, are part of the dataset used to train LLaMA and other generative-AI programs.
3. The use of pirated books in AI training raises concerns about the impact on authors and the control of intellectual property in the digital age.
I'm sorry, but as an AI language model, I cannot access or summarize specific copyrighted materials. I can generate summaries and provide information based on general knowledge and publicly available sources. If you have any other topic or question you'd like me to assist with, please feel free to ask.
The use of copyrighted works to train generative AI models, such as Meta's LLaMA, is raising concerns about copyright infringement and transparency, with potential legal consequences and a looming "day of reckoning" for the datasets used.
Three artists, including concept artist Karla Ortiz, are suing AI art generators Stability AI, Midjourney, and DeviantArt for using their work to train generative AI systems without their consent, in a case that could test the boundaries of copyright law and impact the way AI systems are built. The artists argue that feeding copyrighted works into AI systems constitutes intellectual property theft, while AI companies claim fair use protection. The outcome could determine the legality of training large language models on copyrighted material.
Artificial intelligence (AI) programmers are using the writings of authors to train AI models, but so far, the output lacks the creativity and depth of human writing.
Generative AI is enabling the creation of fake books that mimic the writing style of established authors, raising concerns regarding copyright infringement and right of publicity issues, and prompting calls for compensation and consent from authors whose works are used to train AI tools.
Renowned author Stephen King expresses a mix of fascination and resignation towards AI-generated fiction, acknowledging its potential but not considering it on par with human creativity, in response to the growing issue of pirated books being used to train AI models.
Stephen King is not opposed to his works being used to teach AI about creativity, stating that even human writers need to be readers; however, thousands of other authors have objected to their work being used in AI without permission.
A federal judge in the US rejected an attempt to copyright an artwork created by an AI, ruling that copyright law only protects works of human creation. However, the judge also acknowledged that as AI becomes more involved in the creation process, challenging questions about human input and authorship will arise.
A Washington D.C. judge has ruled that AI-generated art should not be awarded copyright protections since no humans played a central role in its creation, establishing a precedent that art should require human authorship; YouTube has partnered with Universal Music Group to launch an AI music incubator to protect artists from unauthorized use of their content; Meta has introduced an automated translator that works for multiple languages, but concerns have been raised regarding the impact it may have on individuals who wish to learn multiple languages; major studios are hiring "AI specialists" amidst a writers' strike, potentially leading to a future of automated entertainment that may not meet audience expectations.
Artificial intelligence (AI) is seen as a tool that can inspire and collaborate with human creatives in the movie and TV industry, but concerns remain about copyright and ethical issues, according to Greg Harrison, chief creative officer at MOCEAN. Although AI has potential for visual brainstorming and automation of non-creative tasks, it should be used cautiously and in a way that values human creativity and culture.
Meta is being sued by authors who claim that their copyrighted works were used without consent to train the company's Llama AI language tool.
The iconic entertainment site, The A.V. Club, received backlash for publishing AI-generated articles that were found to be copied verbatim from IMDb, raising concerns about the use of AI in journalism and its potential impact on human jobs.
The rise of easily accessible artificial intelligence is leading to an influx of AI-generated goods, including self-help books, wall art, and coloring books, which can be difficult to distinguish from authentic, human-created products, leading to scam products and potential harm to real artists.
AI technology, particularly generative language models, is starting to replace human writers, with the author of this article experiencing firsthand the impact of AI on his own job and the writing industry as a whole.
AI technology has the potential to assist writers in generating powerful and moving prose, but it also raises complex ethical and artistic questions about the future of literature.
Meta's generative A.I. machines used 183,000 books to learn how to write, raising concerns about copyright violation and the program's ability to accurately distinguish between authors with similar names.
Google is using romance novels to humanize its natural language AI, reaching AI singularity could restore our sense of wonder, machines writing ad copy raises concern for the creative class, and AI has implications for education, crime prevention, and warfare among other domains.
Artificial intelligence, particularly large language models like ChatGPT, raises questions about authorship, ownership, and trustworthiness of written communication, as discussed by linguist Naomi S. Baron in her book "Who Wrote This? How AI and the Lure of Efficiency Threaten Human Writing."
Authors are having their books pirated and used by artificial intelligence systems without their consent, with lawsuits being filed against companies like Meta who have fed a massive book database into their AI system without permission, putting authors out of business and making the AI companies money.
The book "The Futurist" by author and journalist Peter Rubin is among the thousands of pirated books being used to train generative-AI systems, sparking concerns about the future of human writers and copyright infringement.
Users' preconceived ideas and biases about AI can significantly impact their interactions and experiences with AI systems, a new study from MIT Media Lab reveals, suggesting that the more complex the AI, the more reflective it is of human expectations. The study highlights the need for accurate depictions of AI in art and media to shift attitudes and culture surrounding AI, as well as the importance of transparent information about AI systems to help users understand their biases.
Meta has unveiled "Meta AI," a generative AI assistant featuring celebrity alter egos like Kendall Jenner, Snoop Dogg, Tom Brady, Naomi Osaka, Chris Paul, and Paris Hilton to enhance user engagement with AI.
Books by famous authors, including J.K. Rowling and Neil Gaiman, are being used without permission to train AI models, drawing outrage from the authors and sparking lawsuits against the companies involved.
France’s Society of Authors, Composers and Publishers of Music (Sacem) has announced that it will require prior authorization for the use of its members' work in the development of artificial intelligence tools to ensure fair remuneration and respect for copyright. Sacem aims to make AI more virtuous and transparent without opposing its development. This comes amid growing debate in Europe over the implications of AI for professionals in the creative industries and the use of original works to train AI tools.
Authors are expressing anger and incredulity over the use of their books to train AI models, leading to the filing of a class-action copyright lawsuit by the Authors Guild and individual authors against OpenAI and Meta, claiming unauthorized and pirated copies were used.
Tech companies like Meta, Google, and Microsoft are facing lawsuits from authors who accuse them of using their copyrighted books to train AI systems without permission or compensation, prompting a call for writers to band together and demand fair compensation for their work.
A recent study by Stanford University reveals that major AI language models, such as GPT-4, are shrouded in secrecy, posing concerns about accountability, reliability, and safety within the field of AI. The study found that no model achieved more than 54% on their transparency scale, urging for greater openness and reproducibility in AI research.
The impact of AI on publishing is causing concerns regarding copyright, the quality of content, and ownership of AI-generated works, although some authors and industry players feel the threat is currently minimal due to the low quality of AI-written books. However, concerns remain about legal issues, such as copyright ownership and AI-generated content in translation.
The publishing industry is grappling with concerns about the impact of AI on book writing, including issues of copyright, low-quality computer-written books flooding the market, and potential legal disputes over ownership of AI-generated content. However, some authors and industry players believe that AI still has a long way to go in producing high-quality fiction, and there are areas of publishing, such as science and specialist books, where AI is more readily accepted.
The publishing industry is grappling with concerns about the impact of AI on copyright, as well as the quality and ownership of AI-generated content, although some authors and industry players believe that AI writing still has a long way to go before it can fully replace human authors.
Writers and artists are filing lawsuits over the use of copyrighted work in training large AI models, raising concerns about data sources and privacy, and the potential for bias in the generated content.
Special status is being sought by writers to protect their employment from technological progress, as they argue that software creators should obtain permission and pay fees to train AI language models with their work, even when copyright laws are not violated.
The battle over intellectual property (IP) ownership and the use of artificial intelligence (AI) continues as high-profile authors like George R.R. Martin are suing OpenAI for copyright infringement, raising questions about the use of IP in training language models without consent.
