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AI business 'wake-up call': teach workers or miss out – The Canberra Times

AI business ‘wake-up call’: teach workers or miss out The Canberra Times
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Anthropic agrees to pay $1.5B US to settle author class action over AI training

Anthropic told a San Francisco federal judge on Friday that it has agreed to pay $1.5 billion US to settle a class-action lawsuit from a group of authors who accused the artificial intelligence company of using pirated copies of their books to train its AI chatbot, Claude, without permission.
Anthropic and the plaintiffs in a court filing asked U.S. District Judge William Alsup to approve the settlement, after announcing the agreement in August without disclosing the terms or amount.
“If approved, this landmark settlement will be the largest publicly reported copyright recovery in history, larger than any other copyright class action settlement or any individual copyright case litigated to final judgment,” the plaintiffs said in the filing.
The proposed deal marks the first settlement in a string of lawsuits against tech companies including OpenAI, Microsoft and Meta Platforms over their use of copyrighted material to train generative AI systems.
As part of the settlement, Anthropic said it will destroy downloaded copies of books acquired through pirating sites LibGen and PiLiMi (Pirate Library Mirror). Under the deal it could still face infringement claims related to material produced by the company’s AI models.
In a statement, Anthropic said the company is “committed to developing safe AI systems that help people and organizations extend their capabilities, advance scientific discovery, and solve complex problems.” The agreement does not include an admission of liability.
“This historic settlement is a vital step in acknowledging that AI companies cannot simply steal authors’ creative work to build their AI just because they need books to develop quality LLMs,” Authors Guild CEO Mary Rasenberger said in a statement.
“These vastly rich companies, worth billions, stole from those earning a median income of barely $20,000 [US] a year. This settlement sends a clear message that AI companies must pay for the books they use just as they pay for the other essential components of their LLMs.”
Although an estimated seven million books were downloaded by Anthropic from piracy sites, according to the Authors Guild, only around 500,000 works are covered in the class action, meaning the settlement amounts to roughly $3,000 US per author.
Writers Andrea Bartz, Charles Graeber and Kirk Wallace Johnson filed the class action against Anthropic last year. They argued that the company, which is backed by Amazon and Alphabet, unlawfully used millions of pirated books to teach its AI assistant Claude to respond to human prompts.
Creative work stolen
The writers’ allegations echoed dozens of other lawsuits brought by authors, news outlets, visual artists and others who say that tech companies stole their work to use in AI training.
The companies have argued their systems make fair use of copyrighted material to create new, transformative content.
Alsup ruled in June that Anthropic made fair use of the books to train Claude, but found that the company violated their rights by saving more than seven million pirated books to a “central library” that would not necessarily be used for that purpose.
A best-selling Vancouver author has launched a class-action lawsuit against NVIDIA, Meta and two other tech giants.
J.B. MacKinnon claims that books he and other Canadian authors wrote, were illegally used to train artificial intelligence models.
A trial was scheduled to begin in December to determine how much Anthropic owed for the alleged piracy, with potential damages ranging into the hundreds of billions of dollars.
The pivotal fair-use question is still being debated in other AI copyright cases.
Vancouver author J.B. MacKinnon recently launched class-action lawsuits against NVIDIA, Meta, Anthropic and Databricks Inc. in B.C. Supreme Court, alleging that his and other Canadian authors’ works have been used illegally for AI training.
Another San Francisco judge hearing a similar ongoing lawsuit against Meta ruled shortly after Alsup’s decision that using copyrighted work without permission to train AI would be unlawful in “many circumstances.”
Business
Business Insider Deletes Dozens of Articles After AI Scam Probe

A leading news website has removed dozens of articles after apparently being conned by bogus “journalists”—who may have been assisted in their deception by AI.
Business Insider quietly deleted at least 34 articles written under 13 different bylines after admitting it had published two articles written by a phony “journalist” who used the fake name “Margaux Blanchard.”
Now it has deleted dozens more written by “Tim Stevensen,” “Nate Giovanni,” “Nathan Giovanni,” “Amarilis J. Yera,” “Onyeka Nwelue,” “Alice Amayu,” “Mia Brown,” “Tracy Miller,” “Margaret Awano,” “Erica Mayor,” “Kalmar Theodore,” “Lauren Bennett,” “Louisa Eunice,” and “Alyssa Scott.” All were replaced with a single-sentence note saying they “didn’t meet Business Insider’s standards.”
A review by the Daily Beast has found the articles which Business Insider deleted were all “personal essays,” for which the outlet pays between $200 and $300. The first was published in April 2024 and the most recent in August, days before “Margaux Blanchard’s” scam came to light.
Among the topics the apparently bogus “essayists” covered were “I’m 38 and live in a retirement village”; “Costco Next is the chain’s best-kept secret that’s free for members. I’ve already saved thousands of dollars using it.”; “I had a meltdown in front of my 5 kids.”; and—possibly ironically—“I was accepted into a well-regarded graduate program. I turned down the offer because AI is destroying my desired industry.”
The Beast’s review found several red flags within the since-deleted essays that suggest the writing did not reflect the authors’ lived experiences. This included contradictory information in separate essays by the same author, such as changing the gender and ages of their supposed children, and author-contributed photos that reverse-image searches confirm were pulled from elsewhere online.

The author “Tim Stevensen” claimed in one piece to have two daughters and a son, but four months later, he had “sons.” “Stevensen” was possibly the most prolific and contradictory of the “essayists.” In seven articles he detailed how he had met his wife eight years ago; that he and his wife had children in their twenties; that he had worked 20-hour shifts for years; that he had been a high-school teacher for a decade before recently quitting to be a freelance writer; that he had “unpaid bills”; and that he and his wife wagered $5,000 for a weight-loss challenge.
Another article by “Stevensen” included a photo that he had supplied, which claimed to show him and his daughters. A reverse-image search revealed that the photo was of a man named Stowe Gregory, who wrote a personal essay months earlier for the i newspaper in the U.K. about his love for his step-daughters. The only Tim Stevensen listed in the U.S. did not respond to the Daily Beast, but is not a former high-school teacher.

An internal note to staff from the site’s editor-in-chief, Jamie Heller, stated that the questionable essays were removed “due to concerns about the authors’ identity or veracity.” Heller’s note, first obtained by Semafor, said no articles written by its staff had been affected by Tuesday’s purge. The internal communication added that the site’s verification protocols have since been “bolstered.” A spokesperson for Business Insider declined to comment further, but a company source said the site publishes around 70,000 articles a year, making the deleted articles a tiny proportion of its output.

Heller became editor-in-chief of the site—owned by German media company Axel Springer, which also owns Politico—in September 2024, when the apparent cons were already underway, although the majority were published after her appointment.
It is unclear whether or to what extent the deleted articles had used AI to generate their content. The Daily Beast used AI detection software and found that the nixed essays did not register as being written word-for-word by AI.

However, the articles are littered with unlikely facts and odd phrases, which could point to the use of generative AI. One “writer” claimed she lived in Houston, Texas, and that it took an hour without a car to get to “nearby cities,” another described retirement as “glory days,” and one wrote about “apple pie” and “diners” being part of Australian life. One claimed to have been a teacher who was “summoned” to speak to the principal and told he had been “chosen to represent the school in Canada, which meant I would be away from my family for six to 12 months.”
The Daily Beast was unable to reach any of the supposed authors—some of whom have been published elsewhere, including one who claims to live in both the United Kingdom and Appalachia—for comment, leaving the motive for an apparent con a mystery. At least three of the bylines also appear on articles in writersweekly.com, offering tips on how to become a freelance writer.

Author “Nate Giovanni,” also credited “Nathan Giovanni,” had at least five deleted essays. In a December essay about convincing his wife to have a third child in their 40s, “Giovanni” wrote that he had two daughters, Leila and Sophia, and a two-year-old son named Mason. In an essay published in March, he had two sons, and his wife was at home with a newborn. In May, he wrote that he and his wife had been traveling the world as house sitters for the last two years, including a two-week stay at a “Rustic Villa in Tuscany” and trips to destinations like Charleston, Oregon, New Mexico, New York, Australia, Canada, and Merida, Mexico. His grasp of geography seemed odd.
“Some memorable countries we’ve visited include London, for a quick three-day experience with a house cat. We made it to the London Bridge,” one article states. By July, “Giovanni” was no longer a world traveler: He had quit being a high school English teacher and was in the aftermath of losing his job at a failed startup.
“Amarilis J. Yera” wrote last month about buying a home about an hour outside of Houston six years earlier, when she was 24. However, a submitted photo of the home’s exterior was that of a new-build property that was sold this summer in Dallas, over a month before “Yera’s” essay was published. The essay included photos that were supposedly of the home’s interior, but a reverse image search showed that identical photos were posted months earlier in a Kenya-based Facebook group.
The essay included a selfie submitted by the author. An editor with an almost identical name, Amaralis Yera, lives in Puerto Rico. She could not be reached for comment, but her professional headshot on LinkedIn shows that they are not the same person. Records show there is no other “Amaralis Yera” living in the United States.

Another author was listed as “Onyeka Nwelue,” the same name as a Nigerian-born author who went viral in 2023 for falsely claiming he was a professor at the University of Oxford and the University of Cambridge in England. The bogus professor himself then claimed that other scammers have used his identity and photos.
In her note to staff, Heller said the internal probe was launched after trade newspaper Press Gazette revealed that two Business Insider essays published in April—written by a “Margaux Blanchard”—were “likely” filled with made-up anecdotes that were AI-generated and that “Blanchard” was fake. The emergence of generative AI appears to have led to a spike in articles being published under bogus names.
Five other outlets, including WIRED, were duped by “Margaux Blanchard,” Press Gazette reported. Their true identity remains unknown.
Business
AI is fueling Nvidia’s legacy gaming business

00:09 Speaker A
It’s an AI dominated world now and Nvidia’s chips are leading the way. Yet most people still know the company for its gaming chips. On today’s stocks and translation, we’re going to show you how the money engine at the world’s largest company by market cap has shifted and why it matters for investors.
00:23 Speaker A
First, a quick visual on Nvidia’s data center, which is basically its AI business versus its gaming business. First, let’s focus on the left, which covers the data center.
00:37 Speaker A
It’s a warehouse of network servers that run apps and AI, and its products are AI chips and systems for the cloud.
00:46 Speaker A
Who’s buying them? Amazon, Microsoft, Google, plus other large tech companies. They’re scooping them up so they can offer AI services for businesses and even to the public sometimes at scale.
01:00 Speaker A
On the right side, we have gaming. Think GeForce PC graphics and Nintendo console chips. And everyone from PC gamers to PC makers, both retail and online, are still paying up for these premium graphics chips.
01:14 Speaker A
Fueling the buying spree are big game releases and new launches of the gaming chips themselves.
01:22 Speaker A
And now let’s show how big each of these two markets really are, as of Nvidia’s last quarter ending in late July.
01:28 Speaker A
That top bar here shows Nvidia’s revenue or sales for its data center business, 41 to 42 billion dollars. And you’re going to quickly notice how much smaller that bar underneath is, just 4 billion. That’s the gaming business, which is only a tenth of the AI business, not a subtle difference at all.
01:46 Speaker A
And how did we get here? AI native companies, those built around AI from day one, they are scaling real revenue exponentially. Listen to Jensen tell it.
01:57 Jensen Huang
If you look at the AI native companies, last year, they did $2 billion all together. The first year of AI revenues. The second year of AI revenues, $20 billion, tenfold increase in one year.
02:11 Speaker A
Now, let’s take another look at data center sales versus gaming, but over time, going back to 2014. Notice how both lines track each other for years until data center in white suddenly rockets higher, while gaming continues on roughly sideways.
02:22 Speaker A
And by the way, those two lines go from solid to dotted at the right side of the chart, which represents estimates of future sales.
02:30 Speaker A
What’s clear is the gap between the two segments is only expected to grow wider as the pace of data center growth holds steady.
02:40 Speaker A
And a quick aside, that’s probably the number one risk to this stock. If data center growth slows down instead of keeping at its current pace.
02:51 Speaker A
And here’s a twist. AI is also boosting Nvidia’s gaming segment, and let’s listen to Jensen again.
02:57 Jensen Huang
And now, what’s amazing is AI is coming back to revolutionize GeForce for gaming. And uh this last quarter, I think we had a record quarter for gaming between GeForce and Nintendo Nintendo Switch.
03:13 Speaker A
Think of Nvidia as AI infrastructure first and gaming second. And the feedback loop from AI makes gaming that much better. For investors, that means the biggest driver is still the data center engine while gaming benefits from new GPUs and also hit titles.
03:26 Speaker A
Now, here’s what to watch next for investors. For the data center, you got to keep tabs on the industry-wide spend on cloud AI, as well as a backlog. That’s in addition to AI ship uh chip shipments and supply trying to keep up with that demand.
03:38 Speaker A
And under gaming, watch out for new hit game releases along with new gaming chip launches along with pricing.
03:45 Speaker A
If cloud budgets keep expanding and shipments stay on schedule, the data center story has room to run. And if rivals press on price or if supply gets tight, watch those margins in at Nvidia. So in gaming, a strong holiday lineup or a new GPU cycle could easily give the franchise an extra lift.
04:00 Speaker A
And bottom line, Nvidia’s reputation was built on gaming, but the story today is the AI factory. The charts show it, the orders confirm it, and the roadmap extends it.
04:12 Speaker A
Tune into episodes of stocks and translation podcast for more jargon busting deep dives. New episodes on Tuesdays and Thursdays on Yahoo Finance’s websites or wherever you find your podcast.
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