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A federal judge on Wednesday sided with Facebook parent Meta Platforms in dismissing a copyright infringement lawsuit from a group of authors who accused the company of stealing their works to train its artificial intelligence technology.
Lawyers for the plaintiffs — a group of well-known writers that includes comedian Sarah Silverman and authors Jacqueline Woodson and Ta-Nehisi Coates — didn’t immediately respond to a request for comment Wednesday. Meta also didn’t immediately respond to a request for comment. “This ruling does not stand for the proposition that Meta’s use of copyrighted materials to train its language models is lawful,” Chhabri wrote.On Monday, from the same courthouse, U.S. District Judge William Alsup ruled that AI company Anthropic didn’t break the law by training its chatbot Claude on millions of copyrighted books, but the company must still go to trial for illicitly acquiring those books from pirate websites instead of buying them.Meta countered in court filings that U.S. copyright law “allows the unauthorized copying of a work to transform it into something new” and that the new, AI-generated expression that comes out of its chatbots is fundamentally different from the books it was trained on.Chhabri said in the ruling that while he had “no choice” but to grant Meta’s summary judgment tossing the case, “in the grand scheme of things, the consequences of this ruling are limited. This is not a class action, so the ruling only affects the rights of these 13 authors — not the countless others whose works Meta used to train its models.”
Judge says firm made ‘fair use’ of literature but storage of pirated books in central library constituted infringement
The copyright issue has pitted AI firms against publishers and the creative industries because generative AI models – the term for technology that underpins powerful tools such as the ChatGPT chatbot – have to be trained on a vast amount of publicly available data in order to generate their responses.An Anthropic spokesperson said the company was pleased the court recognised its AI training was transformative and “consistent with copyright’s purpose in enabling creativity and fostering scientific progress”.Alsup said Anthropic violated the authors’ rights by saving pirated copies of their books as part of a “central library of all the books in the world” that would not necessarily be used for AI training.A US judge has ruled that a tech company’s use of books to train its artificial intelligence system – without permission of the authors – did not breach copyright law.
Microsoft has been hit with a lawsuit by a group of authors who claim the company used their books without permission to train its Megatron artificial intelligence model.
June 25 (Reuters) - Microsoft (MSFT.O), opens new tab has been hit with a lawsuit by a group of authors who claim the company used their books without permission to train its Megatron artificial intelligence model.The complaint against Microsoft came a day after a California federal judge ruled that Anthropic made fair use under U.S. copyright law of authors' material to train its AI systems but may still be liable for pirating their books. It was the first U.S.The complaint said Microsoft used the pirated dataset to create a "computer model that is not only built on the work of thousands of creators and authors, but also built to generate a wide range of expression that mimics the syntax, voice, and themes of the copyrighted works on which it was trained."Their lawsuit, opens new tab, filed in New York federal court on Tuesday, is one of several high-stakes cases brought by authors, news outlets and other copyright holders against tech companies including Meta Platforms, Anthropic and Microsoft-backed OpenAI over alleged misuse of their material in AI training.
A federal judge sided with Meta in a lawsuit that alleged the company had illegally trained its AI models on copyrighted works.
A federal judge sided with Meta on Wednesday in a lawsuit brought against the company by 13 book authors, including Sarah Silverman, that alleged the company had illegally trained its AI models on their copyrighted works.Federal Judge Vince Chhabria issued a summary judgment — meaning the judge was able to decide on the case without sending it to a jury — in favor of Meta, finding that the company’s training of AI models on copyrighted books in this case fell under the “fair use” doctrine of copyright law and thus was legal.The decision comes just a few days after a federal judge sided with Anthropic in a similar lawsuit. Together, these cases are shaping up to be a win for the tech industry, which has spent years in legal battles with media companies arguing that training AI models on copyrighted works is fair use.Judge Chhabria made clear that this decision does not mean that all AI model training on copyrighted works is legal, but rather that the plaintiffs in this case “made the wrong arguments” and failed to develop sufficient evidence in support of the right ones.
Anthropic didnt break the law when it trained its chatbot with copyrighted books, a judge said, but it must go to trial for allegedly using pirated books.
A federal judge this week ruled that artificial intelligence company Anthropic did not break the law when it used copyrighted books to train its chatbot, Claude, without the consent of the texts’ authors or publishers — but he ordered the company to go to trial for allegedly using pirated versions of the books.The decision, made Monday by Judge William Alsup of the U.S. District Court for the Northern District of California, represents a win for AI companies, which have battled copyright lawsuits from writers and news organizations for using their work to train AI systems.Turvey and his team could have sought to reach commercial agreements with publishers to license the books to train its AI systems, Alsup noted, but they instead purchased millions of print books from retailers, many of them in used condition, then scanned them into digital form.Anthropic didn’t break the law when it trained its chatbot with copyrighted books, a judge said, but it must go to trial for allegedly using pirated books.
In landmark ruling, judge likens AI training to schoolchildren learning to write.
Welcome to r/learnmachinelearning - a community of learners and educators passionate about machine learning! This is your space to ask questions, share resources, and grow together in understanding ML concepts - from basic principles to advanced techniques. Whether you're writing your first ...
Welcome to r/learnmachinelearning - a community of learners and educators passionate about machine learning! This is your space to ask questions, share resources, and grow together in understanding ML concepts - from basic principles to advanced techniques. Whether you're writing your first neural network or diving into transformers, you'll find supportive peers here.I scanned for AI courses and enrolled in the most popular according to the platform's reviews, then ranked them based on factors like audio/video quality, content breadth and depth, assignments, and communities.I built a course platform scraper as a side project to help me find all the courses about a particular topic more easily.Here are what I found to be the best: https://imgur.com/a/chQP1bW
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Here’s what happened: Judge William Alsup basically said that teaching AI how to write by showing it books is like teaching a human to write by having them read books. It's “transformative” because the goal is to create something new (a chatbot) and not just copy the books. So the training process itself = protected.Anthropic now faces a trial to figure out how much they owe authors…and TBH, it could be A LOT (we’re talking $5B to maybe even tens of billions, or MORE). ... Training was only deemed legal because Claude doesn't just spit out entire books.It’s bad news for image generators (like MidJourney, who is being sued by Disney and Universal). If you train AI on art to make competing art, that looks way less “transformative” and way more like just replacing the original artists.Federal judge ruled AI training on copyrighted books is legal.
The feature is being tested in Meta’s open-to-all AI Studio.
Known internally to data labeling firm Alignerr as "Project Omni", the training project will "provide value for users and ultimately help to improve re-engagement and user retention," according to guidelines in the documents BI claims to have seen.AI studio as a platform where "anyone can create an AI character based on their interests" and encourages creators to view the bots as an AI extension of themselves. You can customize a chatbot’s appearance, choose the content it’s trained on and decide which Meta-owned application you want it to appear in, all without "any technical expertise."Everyone’s been hit with a bitingly pass-agg "?" text after waiting just a bit too long to reply. And you might soon get similar (though likely more upbeat) treatment from AI chatbots you’ve previously engaged with on Meta platforms like Instagram or WhatApp.Business Insider claims that the Mark Zuckerberg-owned company is trialling a proactive feature in customizable chatbots created using its no-code AI Studio software, that will enable them to send unprompted follow-up messages based on previous conversations.
Judges clash over “schoolchildren” analogy in key AI training rulings.
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Although AI systems are smart, they still need to be trained. The process isn’t easy. But it’s pretty straightforward with just 3 main steps.
That way, the AI will later be capable of inferencing—making decisions based on information it’s provided. This type of training requires 3 important components: a well-designed AI model; large amounts of high-quality and accurately annotated data; and a powerful computing platform.But years of research aided by the latest technology are helping even novice developers harness the power of original AI models to create new software like indie video games. The process of training enterprise-level AI, on the other hand, is incredibly difficult.Data scientists analyze these decisions and make adjustments based on the AI output’s accuracy. Step 2: Validation. Trainers validate their assumptions based on how the AI performs when given a new data set. The questions they ask include: Does the AI perform as expected?Artificial intelligence (AI) training is the process of teaching an AI system to perceive, interpret and learn from data.
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Discover the latest generative AI training courses, from beginner to advanced.Start with an introduction or dive into advanced training for application developers or data scientists.Learn what it takes to build, deploy, and train ML models with this video series.Stay organized with collections Save and categorize content based on your preferences.
The largest AI labs are racing to build multi-gigawatt-scale datacenters, and stressing our century-old power grid to an unprecedented extent. Not only is the scale massive, but AI training workloads have a very unique load profile, unexpectedly rising and falling from full load to nearly idle ...
The largest AI labs are racing to build multi-gigawatt-scale datacenters, and stressing our century-old power grid to an unprecedented extent. Not only is the scale massive, but AI training workloads have a very unique load profile, unexpectedly rising and falling from full load to nearly idle in fractions of a second.The largest AI labs are racing to build multi-gigawatt-scale datacenters, and stressing our century-old power grid to an unprecedented extent. Not only is the scale massive, but AI training wo…Meta’s LLaMa 3 paper mentions challenges with power fluctuations, and that is “only” a 24,000 H100 Cluster (30MW of IT capacity). · During training, tens of thousands of GPUs may increase or decrease power consumption at the same time, for example, due to all GPUs waiting for checkpointing or collective communications to finish, or the startup or shutdown of the entire training job.When this happens, it can result in instant fluctuations of power consumption across the datacenter on the order of tens of megawatts, stretching the limits of the power grid. This is an ongoing challenge for us as we scale training for future, even larger Llama models.
A federal judge sided with Facebook parent Meta Platforms in dismissing a copyright infringement lawsuit on Wednesday that was brought by authors who accused the company of stealing...
Ruling suggests companies have been using protected materialsAs an ad-supported site, Newser can't exist without ads.An ad-blocker, please whitelist Newser by clicking the ad-blocker icon in your browser.A DuckDuckGo extension in your browser, please access Newser without it: Either by removing it, whitelisting us, or using another browser.
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Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering ManagementArtificial intelligence courses can help you learn how to build systems that solve problems, recognize patterns, and make decisions using data and algorithms.The language used throughout the course, in both instruction and assessments.Skills you'll gain: Generative AI, ChatGPT, Natural Language Processing, Data Governance, Computer Science, Business Intelligence, Business Ethics, Robotic Process Automation, Content Creation, Risk Mitigation
Cloudflare is making it easier for publishers and content creators of all sizes to prevent their content from being scraped for AI training by managing robots.txt on their behalf, and allowing targeted blocking of AI crawling on sites that serve ads.
Cloudflare is giving all website owners two new tools to easily control whether AI bots are allowed to access their content for model training. First, customers can let Cloudflare create and manage a robots.txt file, creating the appropriate entries to let crawlers know not to access their site for AI training.But recently, a new generation of crawlers has appeared: bots that crawl sites to gather data for training AI models. While these crawlers operate in the same technical way as search crawlers, the relationship is no longer symbiotic. AI training crawlers use the data they ingest from content sites to answer questions for their own customers directly, within their own apps.And while AI Search and AI Assistant crawling related activity has exploded in popularity in the last 6 months, we still see their total traffic pale in comparison to AI training crawl activity, which has seen a 65% increase in traffic over the past 6 months.To do that, website owners make their sites accessible to search engine crawlers, which index the content and make it discoverable in search results. But with the rise of AI-powered crawlers, that same content is now being scraped not just for indexing, but also to train AI models, often without the creator’s explicit consent.
Leaked guidelines show how Meta's custom AI chatbots are trained to get more proactive, following up with users to increase retention.
This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account? Log in. Meta is training custom AI chatbots to send unprompted follow-up messages and boost user engagement.It's the AI equivalent of a double text. Business Insider has learned Meta is training customizable chatbots to be more proactive and message users unprompted to follow up on past conversations.It may not cure what Mark Zuckerberg calls the "loneliness epidemic," but Meta hopes it will help keep users coming back to its AI Studio platform, documents obtained by BI reveal. The goal of the training project, known internally to data labeling firm Alignerr as "Project Omni," is to "provide value for users and ultimately help to improve re-engagement and user retention," the guidelines say.According to the training documents, all proactive messages must comply with Meta’s broader Content and Responsibility Standards, avoiding controversy, misinformation, or emotionally heavy topics — unless the user brings them up first.
