On Dec. 9, OpenAI made its artificial intelligence video generation model Sora publicly available in the U.S. and other countries.
Cfoto | Future Publishing | Getty Images
The U.K. is drawing up measures to regulate the use of copyrighted content by tech companies to train their artificial intelligence models.
The British government on Tuesday kicked off a consultation which aims to increase clarity for both the creative industries and AI developers when it comes to both how intellectual property is obtained and then used by AI firms for training purposes.
Some artists and publishers are unhappy with the way their content is being scraped freely by companies like OpenAI and Google to train their large language models — AI models trained on huge quantities of data to generate humanlike responses.
Large language models are the foundational technology behind today’s generative AI systems, including the likes of OpenAI’s ChatGPT, Google’s Gemini and Anthropic’s Claude.
Last year, The New York Times brought a lawsuit against Microsoft and OpenAI accusing the companies of infringing its copyright and abusing intellectual property to train large language models.
In response, OpenAI disputed the NYT’s allegations, stating that the use of open web data for training AI models should be considered “fair use” and that it provides an “opt-out” for rights holders “because it’s the right thing to do.”
Separately, image distribution platform Getty Images sued another generative AI firm, Stability AI, in the U.K., accusing it of scraping millions of images from its websites without consent to train its Stable Diffusion AI model. Stability AI has disputed the suit, noting that the training and development of its model took place outside the U.K.
Proposals to be considered
First, the consultation will consider making an exception to copyright law for AI training when used in the context of commercial purposes but while still allowing rights holders to reserve their rights so they can control the use of their content.
Second, the consultation will put forward proposed measures to help creators license and be remunerated for the use of their content by AI model makers, as well as give AI developers clarity over what material can be used for training their models.
The government said more work needs to be done by both the creative industries and technology firms to ensure any standards and requirements for rights reservation and transparency are effective, accessible and widely adopted.
The government is also considering proposals that would require AI model makers to be more transparent about their model training datasets and how they’re obtained so that rights holders can understand when and how their content has been used to train AI.
That could prove controversial — technology firms aren’t especially forthcoming when it comes to the data that fuels their coveted algorithms or how they train them up, given the commercial sensitivities involved in revealing those secrets to potential competitors.
Previously, under former Prime Minister Rishi Sunak, the government attempted to agree a voluntary AI copyright code of practice.
AI copyright rules: U.K. versus U.S.
In a recent interview with CNBC, the boss of app development software firm Appian said he thinks the U.K. is well placed to be the “global leader on this issue.”
“The U.K. has put a stake in the ground declaring its prioritization of personal intellectual property rights,” Matt Calkins, Appian’s CEO, told CNBC. He cited 2018’s Data Protection Act as an example of how the U.K. is “closely associated with intellectual property rights.”
The U.K. is also not “subject to the same overwhelming lobbying blitz from domestic AI leaders that the U.S. is,” Calkins added — meaning it might not be as prone to bowing down to pressure from tech giants as politicians stateside.
“In the U.S., anybody who writes a law about AI is going to hear from Amazon, Oracle, Microsoft or Google before that bill even reaches the floor,” Calkins said.
“That’s a powerful force stopping anyone from writing sensible legislation or protecting the rights of individuals whose intellectual property is being taken wholesale by these major AI players.”
The issue of potential copyright infringement by AI firms is becoming more notable as tech firms are moving toward a more “multimodal” form of AI — that is, AI systems that can understand and generate content in the form of images and video as well as text.
Last week, OpenAI made its AI video generation model Sora publicly available in the U.S. and “most countries internationally.” The tool allows a user to type out a desired scene and produce a high-definition video clip.
Altimeter Capital CEO Brad Gerstner said Thursday that he’s moving out of the “bomb shelter” with Nvidia and into a position of safety, expecting that the chipmaker is positioned to withstand President Donald Trump’s widespread tariffs.
“The growth and the demand for GPUs is off the charts,” he told CNBC’s “Fast Money Halftime Report,” referring to Nvidia’s graphics processing units that are powering the artificial intelligence boom. He said investors just need to listen to commentary from OpenAI, Google and Elon Musk.
President Trump announced an expansive and aggressive “reciprocal tariff” policy in a ceremony at the White House on Wednesday. The plan established a 10% baseline tariff, though many countries like China, Vietnam and Taiwan are subject to steeper rates. The announcement sent stocks tumbling on Thursday, with the tech-heavy Nasdaq down more than 5%, headed for its worst day since 2022.
The big reason Nvidia may be better positioned to withstand Trump’s tariff hikes is because semiconductors are on the list of exceptions, which Gerstner called a “wise exception” due to the importance of AI.
Nvidia’s business has exploded since the release of OpenAI’s ChatGPT in 2022, and annual revenue has more than doubled in each of the past two fiscal years. After a massive rally, Nvidia’s stock price has dropped by more than 20% this year and was down almost 7% on Thursday.
Gerstner is concerned about the potential of a recession due to the tariffs, but is relatively bullish on Nvidia, and said the “negative impact from tariffs will be much less than in other areas.”
He said it’s key for the U.S. to stay competitive in AI. And while the company’s chips are designed domestically, they’re manufactured in Taiwan “because they can’t be fabricated in the U.S.” Higher tariffs would punish companies like Meta and Microsoft, he said.
“We’re in a global race in AI,” Gerstner said. “We can’t hamper our ability to win that race.”
YouTube on Thursday announced new video creation tools for Shorts, its short-form video feed that competes against TikTok.
The features come at a time when TikTok, which is owned by Chinese company ByteDance, is at risk of an effective ban in the U.S. if it’s not sold to an American owner by April 5.
Among the new tools is an updated video editor that allows creators to make precise adjustments and edits, a feature that automatically syncs video cuts to the beat of a song and AI stickers.
The creator tools will become available later this spring, said YouTube, which is owned by Google.
Along with the new features, YouTube last week said it was changing the way view counts are tabulated on Shorts. Under the new guidelines, Shorts views will count the number of times the video is played or replayed with no minimum watch time requirement.
Previously, views were only counted if a video was played for a certain number of seconds. This new tabulation method is similar to how views are counted on TikTok and Meta’s Reels, and will likely inflate view counts.
“We got this feedback from creators that this is what they wanted. It’s a way for them to better understand when their Shorts have been seen,” YouTube Chief Product Officer Johanna Voolich said in a YouTube video. “It’s useful for creators who post across multiple platforms.”
CEO of Meta and Facebook Mark Zuckerberg, Lauren Sanchez, Amazon founder Jeff Bezos, Google CEO Sundar Pichai, and Tesla and SpaceX CEO Elon Musk attend the inauguration ceremony before Donald Trump is sworn in as the 47th U.S. president in the U.S. Capitol Rotunda in Washington, Jan. 20, 2025.
Saul Loeb | Via Reuters
Technology stocks plummeted Thursday after President Donald Trump’s new tariff policies sparked widespread market panic.
Apple led the declines among the so-called “Magnificent Seven” group, dropping nearly 9%. The iPhone maker makes its devices in China and other Asian countries. The stock is on pace for its steepest drop since 2020.
Other megacaps also felt the pressure. Meta Platforms and Amazon fell more than 7% each, while Nvidia and Tesla slumped more than 5%. Nvidia builds its new chips in Taiwan and relies on Mexico for assembling its artificial intelligence systems. Microsoft and Alphabet both fell about 2%.
The drop in technology stocks came amid a broader market selloff spurred by fears of a global trade war after Trump unveiled a blanket 10% tariff on all imported goods and a range of higher duties targeting specific countries after the bell Wednesday. He said the new tariffs would be a “declaration of economic independence” for the U.S.
Companies and countries worldwide have already begun responding to the wide-sweeping policy, which included a 34% tariff on China stacked on a previous 20% tax, a 46% duty on Vietnam and a 20% levy on imports from the European Union.
China’s Ministry of Commerce urged the U.S. to “immediately cancel” the unilateral tariff measures and said it would take “resolute counter-measures.”
The tariffs come on the heels of a rough quarter for the tech-heavy Nasdaq and the worst period for the index since 2022. Stocks across the board have come under pressure over concerns of a weakening U.S. economy. The Nasdaq Composite dropped nearly 5% on Thursday, bringing its year-to-date loss to 13%.
Trump applauded some megacap technology companies for investing money into the U.S. during his speech, calling attention to Apple’s plan to spend $500 billion over the next four years.