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President Trump has made several references to human rights in Cuba, both as a candidate and since winning the presidency. Initially it was hard to say whether he was simply appealing to his supporters in Florida or if he genuinely intended to unpick Mr Obama's Cuba legacy using the island's human rights record as his reasoning. It is looking increasingly likely that it's the latter.

The Syrian army backed up by Russian airpower and Iranian militias is also attacking the extremist group.

Ms. Cain continued, “When athletes are not protected, they should be able to make choices that protect themselves. It’s like saying you don’t want to be with a company that doesn’t treat you well.”

“I am not a natural public speaker and get huge waves of anxiety before I speak to the world’s media,” she wrote. “I get really nervous and find it stressful to always try to engage.”

We’ve seen this with other young celebrities, such as the British actor, writer and director Michaela Coel, who told Vulture that she declined a $1 million Netflix deal when the streamer wouldn’t let her retain a percentage of the copyright to her show “I May Destroy You.” She fired her agents in the U.S. for pushing the deal, choosing instead the bold path of going agentless in Hollywood.

Indeed, Ms. Osaka’s statement, which appeared to be written on the notepad app of her phone, was arguably among the most influential uses of media of her career.

The power balance has changed — redistributing leverage among public figures, the journalists and publications that cover them, and the companies that they do business with. Social media has provided athletes and other celebrities a direct line to their public, cutting out the middlemen. When Ms. Osaka released a statement explaining her decision and the steps that led to it, she did so on her own platforms.

Like many successful athletes, Ms. Osaka gets most of her earnings from endorsements, not prize money or salaries. Her high profile started with her accomplishments on the tennis court, and her talent sustains that profile, but she has grown into a respected and influential brand herself. She has often taken risks with that influence, whether it’s wearing masks in support of Black Lives Matter at the U.S. Open last year or pushing back against critics on social media who criticized her for ruining her “innocent” image by posting photos of herself in a bathing suit.

“You are often compared to the Williams sisters. Maybe it’s because you’re Black. But I guess it’s because you’re talented and maybe American, too,” a journalist reportedly declared, bizarrely, before asking, “We could have a final between you and Serena. Is it something you hope for? I mean, 22 years separate you girls.”

This latest episode is evidence that when athletes such as Ms. Osaka and LeBron James are told to refrain from commenting on racism or politics and instead to shut up and play, it has always included an unsaid caveat: “unless we stand to profit off your voice.”

Under U.S. law, social media platforms are not held legally responsible for policing unwanted or even much illegal content on their services, with some exceptions for copyright issues and child pornography.

A Vietnamese smuggler, interviewed by a French paper several years ago, reportedly described three levels of package. The top level allowed migrants to ride in the lorry cab and sleep in hotels. The lowest level was nicknamed "air", or more cynically "CO2" - a reference to the lack of air in some trailers.

A local volunteer in the camp told us that they'd seen Vietnamese and British men visiting migrants here in a Mercedes. And that once migrants arrived in the UK, some went to work in cannabis farms, after which all communication stopped.

No one here had heard about the 39 people found dead this week.This journey is about freedom, one said.

Greg Rutkowski, a hugely popular concept artist, has been used in a prompt for Stable Diffusion upward of 100,000 times. Now, his name is no longer attached to just his own work, but it also summons a slew of imitations of varying quality that he hasn’t approved. This could confuse clients, and it muddies the consistent and precise output he usually produces. When I saw what was happening to him, I thought of my battle with my shadow self. We were each fighting a version of ourself that looked similar but that was uncanny, twisted in a way to which we didn’t consent.

In theory, everyone is at risk for their work or image to become a vulgarity with A.I., but I suspect those who will be the most hurt are those who are already facing the consequences of improving technology, namely members of marginalized groups.

In the future, with A.I. technology, many more people will have a shadow self with whom they must reckon. Once the features that we consider personal and unique — our facial structure, our handwriting, the way we draw — can be programmed and contorted at the click of a mouse, the possibilities for violations are endless.

I’ve been playing around with several generators, and so far none have mimicked my style in a way that can directly threaten my career, a fact that will almost certainly change as A.I. continues to improve. It’s undeniable; the A.I.s know me. Most have captured the outlines and signatures of my comics — black hair, bangs, striped T-shirts. To others, it may look like a drawing taking shape.I see a monster forming.

Of particular concern to Commerce are so-called frontier models. The phrase, popularized in the Washington lexicon by some of the very companies that seek to build these models—Microsoft, Google, OpenAI, Anthropic—describes a kind of “advanced” artificial intelligence with flexible and wide-ranging uses that could also develop unexpected and dangerous capabilities. By their determination, frontier models do not exist yet. But an influential white paper published in July and co-authored by a consortium of researchers, including representatives from most of those tech firms, suggests that these models could result from the further development of large language models—the technology underpinning ChatGPT

The threats of frontier models are nebulous, tied to speculation about how new skill sets could suddenly “emerge” in AI programs.

Among the proposals the authors offer, in their 51-page document, to get ahead of this problem: creating some kind of licensing process that requires companies to gain approval before they can release, or perhaps even develop, frontier AI. “We think that it is important to begin taking practical steps to regulate frontier AI today,” the authors write.

Microsoft, Google, OpenAI, and Anthropic subsequently launched the Frontier Model Forum, an industry group for producing research and recommendations on “safe and responsible” frontier-model development.

Shortly after the paper’s publication, the White House used some of the language and framing in its voluntary AI commitments, a set of guidelines for leading AI firms that are intended to ensure the safe deployment of the technology without sacrificing its supposed benefit

AI models advance rapidly, he reasoned, which necessitates forward thinking. “I don’t know what the next generation of models will be capable of, but I’m really worried about a situation where decisions about what models are put out there in the world are just up to these private companies,” he said.

For the four private companies at the center of discussions about frontier models, though, this kind of regulation could prove advantageous.

Convincing regulators to control frontier models could restrict the ability of Meta and any other firms to continue publishing and developing their best AI models through open-source communities on the internet; if the technology must be regulated, better for it to happen on terms that favor the bottom line.

The obsession with frontier models has now collided with mounting panic about China, fully intertwining ideas for the models’ regulation with national-security concerns. Over the past few months, members of Commerce have met with experts to hash out what controlling frontier models could look like and whether it would be feasible to keep them out of reach of Beijing

That the white paper took hold in this way speaks to a precarious dynamic playing out in Washington. The tech industry has been readily asserting its power, and the AI panic has made policy makers uniquely receptive to their messaging,

“Parts of the administration are grasping onto whatever they can because they want to do something,” Weinstein told me.

The department’s previous chip-export controls “really set the stage for focusing on AI at the cutting edge”; now export controls on frontier models could be seen as a natural continuation. Weinstein, however, called it “a weak strategy”; other AI and tech-policy experts I spoke with sounded their own warnings as well.

The decision would represent an escalation against China, further destabilizing a fractured relationship

Many Chinese AI researchers I’ve spoken with in the past year have expressed deep frustration and sadness over having their work—on things such as drug discovery and image generation—turned into collateral in the U.S.-China tech competition. Most told me that they see themselves as global citizens contributing to global technology advancement, not as assets of the state. Many still harbor dreams of working at American companies.

“If the export controls are broadly defined to include open-source, that would touch on a third-rail issue,” says Matt Sheehan, a Carnegie Endowment for International Peace fellow who studies global technology issues with a focus on China.

What’s frequently left out of considerations as well is how much this collaboration happens across borders in ways that strengthen, rather than detract from, American AI leadership. As the two countries that produce the most AI researchers and research in the world, the U.S. and China are each other’s No. 1 collaborator in the technology’s development.

Assuming they’re even enforceable, export controls on frontier models could thus “be a pretty direct hit” to the large community of Chinese developers who build on U.S. models and in turn contribute their own research and advancements to U.S. AI development,

Within a month of the Commerce Department announcing its blockade on powerful chips last year, the California-based chipmaker Nvidia announced a less powerful chip that fell right below the export controls’ technical specifications, and was able to continue selling to China. Bytedance, Baidu, Tencent, and Alibaba have each since placed orders for about 100,000 of Nvidia’s China chips to be delivered this year, and more for future delivery—deals that are worth roughly $5 billion, according to the Financial Times.

In some cases, fixating on AI models would serve as a distraction from addressing the root challenge: The bottleneck for producing novel biochemical weapons, for example, is not finding a recipe, says Weinstein, but rather obtaining the materials and equipment to actually synthesize the armaments. Restricting access to AI models would do little to solve that problem.

there could be another benefit to the four companies pushing for frontier-model regulation. Evoking the specter of future threats shifts the regulatory attention away from present-day harms of their existing models, such as privacy violations, copyright infringements, and job automation

“People overestimate how much this is in the interest of these companies,”

AI safety as a domain even a few years ago was much more heterogeneous,” West told me. Now? “We’re not talking about the effects on workers and the labor impacts of these systems. We’re not talking about the environmental concerns.” It’s no wonder: When resources, expertise, and power have concentrated so heavily in a few companies, and policy makers are seeped in their own cocktail of fears, the landscape of policy ideas collapses under pressure, eroding the base of a healthy democracy.

Google’s generative-AI-powered search is the true nightmare for publishers. Across the media world, Google generates nearly 40% of publishers’ traffic, accounting for the largest share of their “referrals,” according to a Wall Street Journal analysis of data from measurement firm SimilarWeb. 

“AI and large language models have the potential to destroy journalism and media brands as we know them,” said Mathias Döpfner, chairman and CEO of Axel Springer,

His company, one of Europe’s largest publishers and the owner of U.S. publications Politico and Business Insider, this week announced a deal to license its content to generative-AI specialist OpenAI.

publishers have seen enough to estimate that they will lose between 20% and 40% of their Google-generated traffic if anything resembling recent iterations rolls out widely. Google has said it is giving priority to sending traffic to publishers.

The rise of AI is the latest and most anxiety-inducing chapter in the long, uneasy marriage between Google and publishers, which have been bound to each other through a basic transaction: Google helps publishers be found by readers, and publishers give Google information—millions of pages of web content—to make its search engine useful.

Google’s embrace of AI in search threatens to throw off that delicate equilibrium, publishing executives say, by dramatically increasing the risk that users’ searches won’t result in them clicking on links that take them to publishers’ sites

, Google’s AI search was trained, in part, on their content and other material from across the web—without payment. 

Google’s view is that anything available on the open internet is fair game for training AI models. The company cites a legal doctrine that allows portions of a copyrighted work to be used without permission for cases such as criticism, news reporting or research.

The changes risk damaging website owners that produce the written material vital to both Google’s search engine and its powerful AI models.

“If Google kills too many publishers, it can’t build the LLM,”

“Any attempts to estimate the traffic impact of our SGE experiment are entirely speculative at this stage as we continue to rapidly evolve the user experience and design, including how links are displayed, and we closely monitor internal data from our tests,” Reid said.

All of this has led Google and publishers to carry out an increasingly complex dialogue. In some meetings, Google is pitching the potential benefits of the other AI tools it is building, including one that would help with the writing and publishing of news articles

At the same time, publishers are seeking reassurances from Google that it will protect their businesses from an AI-powered search tool that will likely shrink their traffic, and they are making clear they expect to be paid for content used in AI training.

Barry Diller, chairman of IAC and Expedia, said all major AI companies, including Google and rivals like OpenAI, have promised that they would continue to send traffic to publishers’ sites. “How they do it, they’ve been very clear to us and others, they don’t really know,” he said.

Many of IAC’s properties, like Brides, Investopedia and the Spruce, get more than 80% of their traffic from Google

Google began rolling out the AI search tool in May by letting users opt into testing. Using a chat interface that can understand longer queries in natural language, it aims to deliver what it calls “snapshots”—or summaries—of the answer, instead of the more link-heavy responses it has traditionally served up in search results. 

Google at first didn’t include links within the responses, instead placing them in boxes to the right of the passage. It later added in-line links following feedback from early users. Some more recent versions require users to click a button to expand the summary before getting links. Google doesn’t describe the links as source material but rather as corroboration of its summaries.

During Chinese President Xi Jinping’s recent visit to San Francisco, the Google AI search bot responded to the question “What did President Xi say?” with two quotes from his opening remarks. Users had to click on a little red arrow to expand the response and see a link to the CNBC story that the remarks were taken from. The CNBC story also sat over on the far right-hand side of the screen in an image box.

The same query in Google’s regular search engine turned up a different quote from Xi’s remarks, but a link to the NBC News article it came from was beneath the paragraph, atop a long list of news stories from other sources like CNN and PBS.

Google’s Reid said AI is the future of search and expects its new tool to result in more queries.

“The number of information needs in the world is not a fixed number,” she said. “It actually grows as information becomes more accessible, becomes easier, becomes more powerful in understanding it.”

Testing has suggested that AI isn’t the right tool for answering every query, she said.

Many publishers are opting to insert code in their websites to block AI tools from “crawling” them for content. But blocking Google is thorny, because publishers must allow their sites to be crawled in order to be indexed by its search engine—and therefore visible to users searching for their content.To some in the publishing world there was an implicit threat in Google’s policy: Let us train on your content or you’ll be hard to find on the internet.

Apple and Google said they allow users to create audiobooks free of charge that use digitally replicated human voices. The voices featured in audiobooks generated by Apple and Google come from real people, whose voices helped train their automated-narration engines.

Ms. Papel said there is still plenty of work for professional narrators because the new era of AI auto-narration is just getting under way, though she said that might not be the case in the future.

“From what I can see, human narrators are freaking out,

Melissa Papel, a Paris-born actress who records from her home studio in Los Angeles, said she recorded eight hours of content for DeepZen, reading in French from different books. “One called for me to read in an angry way, another in a disgusted way, a humorous way, a dramatic way,” she said.

Charles Watkinson, director of the University of Michigan Press, said the publisher has made about 100 audiobooks using Google’s free auto-narrated audiobook platform since early last year. The new technology made those titles possible because it eliminated the costs associated with using a production studio, support staff and human narrators.

“I understood that they would use my voice to teach software how to speak more humanly,” Ms. Papel said. “I didn’t realize they could use my voice to pronounce words I didn’t say. That’s incredible.”

DeepZen pays its narrators a flat fee plus a royalty based on the revenue the company generates from different projects. The agreements span multiple years

a national union that represents performers, including professional audiobook narrators, said he expects AI to eventually disrupt the industry.

Audiobook sales rose 7% last year, according to the Association of American Publishers, while print book sales declined by 5.8%, according to book tracker Circana BookScan.

eepZen says it has signed deals with 35 publishers in the U.S. and abroad and is working with 25 authors.

Josiah Ziegler, a psychiatrist in Fort Collins, Colo., last year created Intellectual Classics, which focuses on nonfiction works that are out of copyright and don’t have an audiobook edition. 

He chose Mr. Herrmann as the narrator for “The War with Mexico,” a work by Justin H. Smith that won the 1920 Pulitzer Prize for history whose audiobook version Dr. Ziegler expects to publish later this year.

DeepZen, which has created nearly a hundred audiobooks featuring Mr. Herrmann’s voice, is pursuing the rights of other well-known stars who have died.

Authoritarian governments have created seemingly realistic news broadcasters to advance their political goals

Getty’s lawsuit reflects concerns raised by many individual artists — that A.I. companies are becoming a competitive threat by copying content they do not have permission to use.

“The tools are going to get better, they’re going to get cheaper, and there will come a day when nothing you see on the internet can be believed,” said Wasim Khaled, chief executive of Blackbird.AI, a company that helps clients fight disinformation.

Artificial intelligence allows virtually anyone to create complex artworks, like those now on exhibit at the Gagosian art gallery in New York, or lifelike images that blur the line between what is real and what is fiction. Plug in a text description, and the technology can produce a related image — no special skills required.

Midjourney’s images, he said, were able to pass muster in facial-recognition programs that Bellingcat uses to verify identities, typically of Russians who have committed crimes or other abuses. It’s not hard to imagine governments or other nefarious actors manufacturing images to harass or discredit their enemies.

In February, Getty accused Stability AI of illegally copying more than 12 million Getty photos, along with captions and metadata, to train the software behind its Stable Diffusion tool. In its lawsuit, Getty argued that Stable Diffusion diluted the value of the Getty watermark by incorporating it into images that ranged “from the bizarre to the grotesque.”

Experts fear the technology could hasten an erosion of trust in media, in government and in society. If any image can be manufactured — and manipulated — how can we believe anything we see?

Trademark violations have also become a concern: Artificially generated images have replicated NBC’s peacock logo, though with unintelligible letters, and shown Coca-Cola’s familiar curvy logo with extra O’s looped into the name.

The threat to photographers is fast outpacing the development of legal protections, said Mickey H. Osterreicher, general counsel for the National Press Photographers Association

Newsrooms will increasingly struggle to authenticate conten

Social media users are ignoring labels that clearly identify images as artificially generated, choosing to believe they are real photographs, he said.

The video explained that the deepfake had been created, with Ms. Schick’s consent, by the Dutch company Revel.ai and Truepic, a California company that is exploring broader digital content verification

The companies described their video, which features a stamp identifying it as computer-generated, as the “first digitally transparent deepfake.” The data is cryptographically sealed into the file; tampering with the image breaks the digital signature and prevents the credentials from appearing when using trusted software.

The companies hope the badge, which will come with a fee for commercial clients, will be adopted by other content creators to help create a standard of trust involving A.I. images.

“The scale of this problem is going to accelerate so rapidly that it’s going to drive consumer education very quickly,” said Jeff McGregor, chief executive of Truepic

Adobe unveiled its own image-generating product, Firefly, which will be trained using only images that were licensed or from its own stock or no longer under copyright. Dana Rao, the company’s chief trust officer, said on its website that the tool would automatically add content credentials — “like a nutrition label for imaging” — that identified how an image had been made. Adobe said it also planned to compensate contributors.