AI Companies Will Face Legal Consequences from Copyright Holders Starting in 2025

Disney stated that its AI image generator Midjourney was developed using films like ‘The Lion King’

Maximum Film/Alamy

Since the launch of ChatGPT, OpenAI’s generative AI chatbot, three years ago, we’ve witnessed dramatic shifts across various aspects of our lives. However, one area that remains unchanged is adherence to copyright law. We still strive to uphold pre-AI standards.

It’s widely recognized that leading AI firms have developed models by harvesting data from the internet, including copyrighted content, often without securing prior approval. This year, prominent copyright holders have retaliated, filing various lawsuits against AI companies for alleged copyright violations.

The most notable lawsuit was initiated in June by Disney and Universal, claiming that the AI image generation platform Midjourney was trained using their copyrighted materials and enabled users to produce images that “clearly included and replicated Disney and Universal’s iconic characters.”

The proceedings are still underway, with Midjourney’s recent response in August asserting, “The limited monopoly granted by copyright must yield to fair use,” suggesting that the outcome would be transformative, permitting AI companies to educate models with copyrighted works.

Midjourney’s statements highlight that the copyright debate is more complex than it might seem at first glance. “Many believed copyright would serve as the ultimate barrier against AI, but that’s not entirely true,” remarks Andres Guadams from the University of Sussex, UK, expressing surprise at how little impact copyright has had on the progress of AI enterprises.

This is occurring even as some governments engage in discussions on the matter. In October, the Japanese government made an official appeal to OpenAI, urging the company behind the Sora 2 AI video generator to honor the intellectual property rights of its culture, including its manga and beloved video games like those from Nintendo.

Sora 2 is embroiled in further controversy due to its capability to generate realistic footage of real individuals. OpenAI recently tightened restrictions on representations of Martin Luther King Jr. after family representatives raised concerns about a depiction of his iconic “I Have a Dream” speech that included inappropriate sounds.

“While free speech is crucial when portraying historical figures, OpenAI believes that public figures and their families should ultimately control how their likenesses are represented,” the company stated. This restriction was only partially effective, as celebrities and public figures must still opt-out from having their images utilized in Sora 2. Some argue this remains too permissive. “No one should have to tell OpenAI if they wish to avoid being deepfaked,” states Ed Newton Rex, a former AI executive and founder of the campaign group Fairly Trained.

In certain instances, AI companies face legal challenges over their practices, as highlighted by one of the largest proposed lawsuits from the past year. In September, three authors accused Anthropic, the firm behind the Claude chatbot, of deliberately downloading over 7 million pirated books for training its AI models.

A judge reviewed the case and concluded that even if the firm had utilized this material for training, it could be considered a sufficiently “transformational” use that wouldn’t inherently infringe copyright. However, the piracy allegations were serious enough to warrant trial proceedings. Anthropic ultimately decided to settle the lawsuit for at least $1.5 billion.

“Significantly, AI companies appear to be strategizing their responses and may end up disbursing a mix of settlements and licensing deals,” Guadams noted. “Only a small number of companies are likely to collapse due to copyright infringement lawsuits,” he adds. “AI is here to stay, even if many established players may fail due to litigation and market fluctuations.”

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Source: www.newscientist.com

OpenAI Guarantees Enhanced “Granular Control” for Copyright Holders Following Sora 2’s Video Creations of Popular Characters

OpenAI is dedicated to providing copyright holders with “greater control” over character generation following the recent release of the Sora 2 app, which has overwhelmed platforms with videos featuring copyrighted characters.

Sora 2, an AI-driven video creation tool, was launched last week by invitation only. This application enables users to produce short videos from text prompts. A review by the Guardian of the AI-generated content revealed instances of copyrighted characters from shows like SpongeBob SquarePants, South Park, Pokémon, and Rick and Morty.

According to the Wall Street Journal, prior to releasing Sora 2, OpenAI informed talent agencies and studios that they would need to opt out if they wished to prevent the unlicensed use of their material by video generators.

OpenAI stated that those who own Guardian content can utilize a “copyright dispute form” to report copyright violations, though individual artists and studios cannot opt out of blanket agreements. Varun Shetty, OpenAI’s Head of Media Partnerships, remarked:


OpenAI Sora 2 Generated Video 1

On Saturday, OpenAI CEO Sam Altman stated in a blog post that the company has received “feedback” from users, rights holders, and various groups, leading to modifications.

He mentioned that rights holders will gain more “detailed control” as well as enhanced options regarding how their likenesses can be used within the application.

“We’ve heard from numerous rights holders who are thrilled about this new form of ‘interactive fan fiction’ and are confident that this level of engagement will be beneficial for them; however, we want to ensure that they can specify the manner in which the characters are utilized.”


Altman noted that OpenAI will “work with rights holders to determine the way forward,” adding that certain “generation edge cases” will undergo scrutiny within the platform’s guidelines.

He emphasized that the company needs to find a sustainable revenue model from video generation and that user engagement is exceeding initial expectations. This could lead to compensating rights holders for the authorized use of their characters.

“Creating an accurate model requires some trial and error, but we plan to start soon,” Altman said. “Our aim is for this new type of engagement to be even more valuable than revenue sharing, and we hope it’s worth it for everyone involved.”

He remarked on the rapid evolution of the project, reminiscent of the early days of ChatGPT, acknowledging both successful decisions and mistakes made along the way.

Source: www.theguardian.com

Bitcoin consolidates with increased profitability for long-term holders: Blockchain news, opinions, TV, and job opportunities

Last week, Bitcoin (BTC) ended at around $37,350, an increase of 0.8% compared to the previous week’s closing price of $37,000. It started with notable volatility, with BTC prices falling to $34,800 on Tuesday, but then made a strong recovery and reached almost $38,000 on Wednesday. BTC then fell again to $36,000 on Thursday. The second half of the week saw an uptick, with BTC ending the week at around $37,350.

BTC dominance, which measures Bitcoin’s market capitalization relative to the overall digital asset market, recovered after two consecutive weeks of decline and settled at around 52.6%. This represents an increase of 0.3% compared to the previous week and indicates a slowing in the dispersion of liquidity across the market following two weeks of solid momentum in the altcoin sector.

The recent rise in altcoin performance is supported by an analysis of the Total3 metric, which considers the sum of the market capitalizations of the top 125 altcoins. The index now stands at around $416.1 billion, the highest level since August 2022. This follows a solid rally led by the Bitcoin and ETF Spot stories in recent months, highlighting substantial positive momentum across the market, with significant gains in early May 2022 approaching market cap. It reached a level not seen since the collapse of UST-Luna, which triggered a recession.

Confirming the uptrend, several BTC indicators are showing strong momentum. Approximately 80% of addresses holding Bitcoin are currently profitable, indicating solid accumulation during the 2022 recession. Only about 20% of addresses have an average purchase price above $37,000, confirming that a bottom is likely to form sometime in 2022. This accumulation by short-term holders by long-term holders is typically seen in the later stages of a bear market. A cycle bottom is established. This is further supported by the unchanged BTC supply over the past 12 months, currently accounting for 70.2%, indicating the long-term commitment of most investors. Furthermore, the Bitcoin Irritant Supply Index, which measures the supply held in wallets with minimal spending history, reached an all-time high of 15.4 million BTC. This is consistent with our previous hypothesis depicting a recent surge in long-term holders who continued to accumulate assets without selling them during the 2022/2023 economic downturn, and was associated with the sale of BTC in their wallets. indicates minimal activity.

Examining BTC’s on-chain activity reveals positive trends. His daily transaction count, calculated on a 7-day average, is approaching around 575,000, and his total BTC on-chain transaction volume has reached a level not seen since the end of June. Transaction fees remain relatively high at $4-$5, indicating an overall upward trend in on-chain activity beyond centralized exchanges and financial instruments. This suggests that structural activity and interest are growing harmoniously across different investor cohorts.

Focusing on mining, recent reports indicate that Tether, the issuer of USDT, is expanding into mining with the aim of capturing around 1% of the total hashrate and securing a position in the top 20 mining farms. The company plans to invest $500 million. According to a BitVeria report, during the third quarter, miners focusing on power strategies managed to reduce the average direct BTC production cost by 35% from $21,100 to $13,800. This data highlights a significant improvement in the mining sector’s profitability compared to the challenges experienced through 2022 and parts of 2023.

Source: the-blockchain.com