Will huge AI companies with mega-bucks stifle human creativity and deprive those in the creative fields of their livelihood due to AI companies' mass theft of IP off the Internet? "Time is of the essence. AI models that pilfer the work of human thinkers and creators without payment — then offer the public an ersatz version of what they create — undermine their livelihoods. At a moment when industries like Hollywood and publishing are already struggling, some worry it could be a fatal blow. Ironically, that’s also a threat to the future of artificial intelligence itself. Failing to resolve the copyright conundrum in a way that works for all involved could be a “real problem” for innovation, warns Tom Gruber, inventor of the Siri AI assistant. “You’ll have nothing authentic to train on anymore.” The Creative Cost AI’s champions speak of its development in the same determined tones as the race to the moon or the building of the atom bomb... ...Another criterion of the fair use test is that the market for a copyright holder’s work is not harmed. Some industries say this harm is already being done. News outlets say Google’s AI Overviews, which synthesize content into a single answer within Google Search, have caused a plunge in readership. Fewer clicks equals fewer ad dollars, which are still the lifeblood of many publications. Penske Media Corp., publisher of Rolling Stone, is suing, saying AI Overviews has “profoundly harmful effects on the overall quality and quantity of the information accessible on the internet.” Hollywood’s talent pipeline is also suffering. Sam Tung is an LA-based storyboard artist whose clients have included Marvel, A24, Nintendo and Warner Bros. He also co-chairs the AI Committee of the Animation Guild, an organization born in the aftermath of Walt Disney’s efforts in the 1950s to ship some of his cartoonists’ labor overseas. Members worry that entry-level gigs are disappearing, says Tung. At the same time, established professionals are reporting demands that projects be kept shorter and cheaper, as more clients suggest the work can be streamlined using AI." #AI #copyright #theft #fairuse https://lnkd.in/eCmEswXn?
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"To move forward, the debate must be recast, making it clear that protecting creative industries will help sustain the flow of quality information into the AI models of the future. Otherwise, the industry faces the scenario Siri creator Gruber described, known as 'model collapse' — where AI models train solely on AI-created materials, slowly degrading over time." https://lnkd.in/eRmRVhhq
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“AI’s Copyright War Could Be Its Undoing. Only the US Can End It.” “They are pumping all of this — and much, much more — into their AI systems without paying a dime to those whose work is contained within the many petabytes. It is, as described by the Republican senator Josh Hawley, “the largest intellectual property theft in American history.” “That’s music, literally, to the ears of those who build and market these tools. But where Ulvaeus differs from many other AI enthusiasts is his stance on how these technologies should be built and who deserves to get paid along the way.” “Building generative AI models, whether for outputting text, audio or video, requires staggering amounts of training material. Meta Platforms Inc.’s most recent model, Llama 4 Scout, was trained on a corpus of data equivalent to more than 300 million 300-page books.” “To feed these models, companies have looked for the highest-quality data — i.e., the kind produced by human creativity and ingenuity. That includes resources like Library Genesis, or LibGen, a collection of more than 7.5 million books and 81 million academic research papers; Books3, a database of 191,000 fiction and nonfiction works chosen for their “invaluable” role in demonstrating “coherent storytelling”; and more than 15 million YouTube videos.” —————————————————— https://lnkd.in/e_BBktVU A video on the Ai technology subject, clarifying the myths. We are a Non-profit 501c3 corporation for humanity, all rights and laws applies. —————————————————— #socialmedia #technology #innovation #ai #openai https://lnkd.in/eYd4iWkR
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Artificial intelligence (AI) company Stability AI has mostly prevailed against Getty Images in a British court battle over intellectual property. https://lnkd.in/d_vMeqbZ
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What does AI value? I recently went to an event on AI adoption in the creative industries. Ethical questions were raised about the replacement of physical production skills (eg acting, painting, playing musical instruments). The general response was "everyone else is doing it so we have to adopt AI to remain competitive" - AI is coming and we need to get on board. But what does AI move creative production TOWARDS rather than just AWAY from? How does the use of AI effect how we make mistakes, learn, pass on creative knowledge to others, build communities around creativity, come together in real life to celebrate and tell stories? More about this on my blog: https://lnkd.in/edBp3XNd
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New iHeart media study reveals 90% of music consumers want to verify the human origins of their music. Humanable.com iHeartMedia Study Finds Consumers Prefer Human-Created Media Over AI Not a fan of AI? You're not alone, with iHeartMedia sharing the results of its third annual study, "AudioCon 3.0: The Human Consumer." Conducted by Critical Mass Media in August, the survey polled 2,007 adults in the United States. What did they find? Along with insights on current events, media and ads, the survey found that the majority of respondents are concerned about AI in general and against AI-generated entertainment. In other news, fork found in kitchen. Of those surveyed, 97% knew what AI is (to the other three — where have you been?) and 70% use it. Though they find it "helpful" and "time-saving," 75% don't want AI involved with the media and entertainment they consume, and nine in 10 believe it’s important to know said media is created by a real person.
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“Walking the walk” takes on new meaning in 2025 with the rise of AI-generated music like Breaking Rust’s #WalkMyWalk topping the charts. From a copyright perspective, this is a pivotal moment. According to recent rulings and guidance from the U.S. Copyright Office, works created entirely by AI—with minimal or no meaningful human authorship—are ineligible for copyright protection. This means purely AI-composed songs sit in the public domain, free for anyone to use and reproduce without restriction. For creators and legal professionals, this challenge demands a clear distinction: AI as a tool to augment human creativity can still produce copyright-eligible works, but pressing “go” on an AI generator alone does not suffice. The “meaningful human contribution” threshold is now the gold standard for protecting music rights in the AI era. The success of Breaking Rust underscores the urgent need for the music industry and copyright frameworks to adapt. Songwriters must document and emphasize their creative input when collaborating with AI to secure authorship and royalties. At the same time, transparency around AI training data and licensing will be crucial to balancing innovation and creators’ rights. At this new crossroads, walking the walk means embracing AI while upholding the integrity and ownership of human artistry. How are you integrating AI in your creative or legal workflow and ensuring your contributions remain protected and recognized? #Copyright #AI #MusicLaw #IntellectualProperty #Innovation #Songwriting
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According to Billboard’s "Country Digital Song Sales" chart, the No. 1 song in the U.S. is "Walk My Walk" by Breaking Rust—an artist that was created by artificial intelligence (AI).
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The recent High Court judgment on Getty Images v Stability AI marks the first major UK case that tests how intellectual property law applies to generative AI. As Courts are called on to adjudicate matters involving complex technical issues, technical expertise carries increasing importance. One must clearly lay out factual and technical parameters of a matter, identify true points of dispute, and ground judgments in high-quality, robust evidence. At Keystone, we combine cutting-edge technical expertise, rigorous analytics, and deep industry insight. Our experience and secure technical infrastructure allows us to execute statistically robust experiments on AI models and algorithmic systems. Read more about the judgement here: https://lnkd.in/edWmwRi3
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⚡ Day 70 of Global AI Madness GPT-5.1 leak. $350B Google-Anthropic bet. Meta scrambling to ship Llama 4.X before Christmas. November just became the bloodiest AI arms race in history. 🔥 THE SHIFT: OpenAI's GPT-5.1 family (base, Reasoning, Pro) is weeks away—code dropped November 7, targeting enterprise rollout by November 24. Meanwhile, Google's doubling down on Anthropic with a potential $350B valuation investment, while Meta's internal "TBD" team is racing to fix Llama 4's embarrassing flop (developers roasted it for weak coding and reasoning) with a year-end Llama 4.X reboot. Since GPT-5 launched August 7, OpenAI's held to its 3-4 month release cadence—GPT-5.1 is right on schedule. Google's already poured $3B into Anthropic (14% stake), now eyeing another mega-round as Microsoft-OpenAI and Amazon-Anthropic alliances harden into full-blown AI Cold War blocs. Meta? They botched Llama 4 in April—now they're in crisis mode, patching bugs while competitors lap them. 💡 WHAT THIS MEANS: This isn't innovation—it's survival. OpenAI's tightening enterprise lock-in with GPT-5.1's health guardrails and faster inference. Google's betting $350B+ that Anthropic's Claude can counter GPT's dominance. Meta's existential panic signals open-source AI's credibility crisis—if Llama 4.X flops again, they're toast. ✅ Winners: Enterprise-first players (OpenAI, Anthropic) ❌ Losers: Anyone betting open models can compete without execution 👇 YOUR TAKE: Pick your horse. Closed, open, or cloud-locked—who survives 2026? Drop your prediction below. 🎥 Watch: 6 Mind-Blowing AI Products Launched in November 2025 — 3:51 breakdown of Sora 2, Claude Sonnet 4.5, and the tools actually shipping this month. No fluff, just receipts. https://lnkd.in/gTH3H3d4
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The U.K. High Court has ruled that Stable Diffusion, a generative AI tool that creates high-quality images from text descriptions is not an “infringing article” merely because it was trained on copyrighted images, finding that model weights do not store or reproduce training works. In their article, Michael Fekete, Mat Brechtel, Matt Diskin, Barry Fong and Sam Ip write that this decision will be closely watched in Canada, including for its guidance on individualized proof and class definition challenges in AI training cases. https://ow.ly/Ti8E50XosMT
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This is a key case for those following legal developments in AI and worth a read. It was certainly a lively topic of almost every discussion amongst IP counsel in various jurisdictions at the International Bar Association Conference 2025.
The U.K. High Court has ruled that Stable Diffusion, a generative AI tool that creates high-quality images from text descriptions is not an “infringing article” merely because it was trained on copyrighted images, finding that model weights do not store or reproduce training works. In their article, Michael Fekete, Mat Brechtel, Matt Diskin, Barry Fong and Sam Ip write that this decision will be closely watched in Canada, including for its guidance on individualized proof and class definition challenges in AI training cases. https://ow.ly/Ti8E50XosMT
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