According to Bloomberg's Mark Gurman, Apple plans to add its "Apple Intelligence" AI features to visionOS and update its approach to in-store demos of the headset. The Verge reports: The company is adding a new "Go Deeper" option to its in-store demos, Gurman writes. That reportedly includes testing office features and watching videos, as well as defaulting to the Dual Loop band that sends straps over the top and around the back of wearers' heads instead of the single-strap Solo Loop band, which some find uncomfortable. Apple will also reportedly let people view their own videos and photos, including panoramas, in the headset. Adding the sentimental touch to the demos could work out, especially once visionOS 2 comes out this fall, with its "spatialize" option to turn 2D photos into 3D ones -- a feature that's more impressive than it has the right to be (though still a little quirky with hair and glasses, like Apple's Portrait Mode feature).

An anonymous reader shares a report: Amazon built a $2 trillion company through years of aggressive spending on its retail and logistics businesses. Its future gains will likely be determined by the billions designated to fund its artificial-intelligence push. Amazon is planning to spend more than $100 billion over the next decade on data centers, an impressive level of investment even for a company known for its spending ways. The Seattle company is now devoting more investment money to its cloud computing and AI infrastructure than to its sprawling network of e-commerce warehouses.

Amazon Web Services, the arm that manages Amazon's cloud business, has opened data centers for years, but executives said there is a surge in investment now to meet demand triggered by the excitement around AI. "We have to dive in. We have to figure it out," said John Felton, who took over as AWS's chief financial officer this year after spending most of his career in Amazon's retail fulfillment operations. The company's financial commitment reflects the importance and high costs of AI. Felton said building for AI today feels like building that massive delivery network in years past. "It's a little uncertain," he said. AWS is expanding in Virginia, Ohio and elsewhere.

A new study suggests at least 10% of scientific abstracts in 2024 were processed using large language models, researchers from the University of Tubingen and Northwestern University report. Analyzing 14 million PubMed abstracts from 2010-2024, the team identified an unprecedented surge in certain "style words" following LLMs' widespread adoption in late 2022.

Words like "delves" and "showcasing" saw a 25-fold and 9-fold increase respectively in 2024 abstracts compared to pre-LLM trends. Common terms such as "potential" and "findings" also spiked in usage. The researchers drew parallels to studies measuring COVID-19's impact through excess deaths, applying a similar methodology to detect "excess word usage" in scientific writing.

French antitrust regulators are preparing to charge Nvidia for allegedly anti-competitive practices, Reuters reported Monday, citing sources. From the report: The French so-called statement of objections or charge sheet would follow dawn raids in the graphics cards sector in September last year which sources said targeted Nvidia. The world's largest maker of chips used both for artificial intelligence and for computer graphics has seen demand for its chips jump following the release of the generative AI application ChatGPT, triggering regulatory scrutiny on both sides of the Atlantic.

Apple's decision not to launch its own AI features in the EU is a "stunning declaration" of its anticompetitive behavior, European Commission Vice-President Margrethe Vestager said. From a report: About two weeks ago, Apple announced it will not launch its homegrown AI features in the EU, saying that interoperability required by the EU's Digital Markets Act (DMA) could hurt user privacy and security. A few days later, the Commission accused Apple's App Store of DMA breaches. Apple's move to roll back its AI plans in Europe is the most "stunning, open declaration that they know 100% that this is another way of disabling competition where they have a stronghold already," Vestager, the Commission's vice president for a Europe fit for the digital age and Commissioner for Competition, told a Forum Europa event.

The "short version of the DMA [Digital Markets Act]" is that to operate in Europe, companies have to be open for competition, said Vestager. The DMA foresees fines of up to 10% of annual revenue, which in Apple's case could be over $32.2 billion, based on its previous financial performance. For repeated infringements, that percentage could double.

It's been adapted into a graphic novel, a videogame, a radio play, and an opera, according to Wikipedia — which also describes years of trying to adapt Neuromancer into a movie. "The landmark 1984 cyberpunk novel has been on Hollywood's wishlist for decades," writes Gizmodo, "with multiple filmmakers attempting to bring it to the big screen." (Back in 2010, Slashdot's CmdrTaco even posted an update with the headline "Neuromancer Movie In Your Future?" with a 2011 story promising the movie deal was "moving forward....")

But now Deadline reports it's becoming a 10-episode series on Apple TV+ (co-produced by Apple Studios) starring Callum Turner and Brianna Middleton: Created for television by Graham Roland and JD Dillard, Neuromancer follows a damaged, top-rung super-hacker named Case (Turner) who is thrust into a web of digital espionage and high stakes crime with his partner Molly (Middleton), a razor-girl assassin with mirrored eyes, aiming to pull a heist on a corporate dynasty with untold secrets.
More from Gizmodo: "We're incredibly excited to be bringing this iconic property to Apple TV+," Roland and Dillard said in a statement. "Since we became friends nearly 10 years ago, we've looked for something to team up on, so this collaboration marks a dream come true. Neuromancer has inspired so much of the science fiction that's come after it and we're looking forward to bringing television audiences into Gibson's definitive 'cyberpunk' world."
The novel launched Gibson's "Sprawl" trilogy of novels (building on the dystopia in his 1982 short story "Burning Chrome"), also resurrecting the "Molly Millions" character from Johnny Mnemonic — an even earlier short story from 1981...

To stop their smartphone battery from swelling, long-time Slashdot reader shanen bought a Samsung Galaxy with a "restrictive charging option." But what setting should they use? The way this battery protection option worked was to stop charging the phone at 85%. That left me enough charge for my normal daily travels, which rarely took the phone below 50%, and the battery remained unswollen after a year, which included a month of quite heavy tethering, too. Unfortunately... After a recent upgrade, now my Galaxy has three options for the battery where it had two. The 85% option is still there, but it has been lowered to 80%. I've been using that for now and it still seems good enough. However my main concern is with the best option to maximize the overall lifespan of the smartphone...

The other old option says something about using AI to control the battery charging, but I don't trust it and think it is just the old approach that causes phones to die quickly... The new third option is the one that is interesting me. This seems to be a kind of flutter charge where the phone will charge to 100% and then stop until it has dropped to 95% before charging again, even if it remains plugged in. This sounds attractive and would give me more battery insurance when I'm traveling, but maybe it reduces the overall lifetime of the phone?
They tried getting answers from Samsung, but "I think I have been flagged as a low-profit customer." And of course, this raises several other questions? (Are other smartphones better? Have iPhones solved the battery-swelling issue?) And most importantly: is there a way to charge batteries without reducing their lifespan?

Share your own thoughts and experiences in the comments.

What's the best way to charge your smartphone battery?

Bloomberg and The Washington Post "claim AI power usage is dire," writes Slashdot reader NoWayNoShapeNoForm. But Ars Technica "begs to disagree with those speculations."

From Ars Technica's article: The high-profile pieces lean heavily on recent projections from Goldman Sachs and the International Energy Agency (IEA) to cast AI's "insatiable" demand for energy as an almost apocalyptic threat to our power infrastructure. The Post piece even cites anonymous "some [people]" in reporting that "some worry whether there will be enough electricity to meet [the power demands] from any source." Digging into the best available numbers and projections available, though, it's hard to see AI's current and near-future environmental impact in such a dire light... While the headline focus of both Bloomberg and The Washington Post's recent pieces is on artificial intelligence, the actual numbers and projections cited in both pieces overwhelmingly focus on the energy used by Internet "data centers" as a whole...

Bloomberg asks one source directly "why data centers were suddenly sucking up so much power" and gets back a blunt answer: "It's AI... It's 10 to 15 times the amount of electricity." Unfortunately for Bloomberg, that quote is followed almost immediately by a chart that heavily undercuts the AI alarmism. That chart shows worldwide data center energy usage growing at a remarkably steady pace from about 100 TWh in 2012 to around 350 TWh in 2024. The vast majority of that energy usage growth came before 2022, when the launch of tools like Dall-E and ChatGPT largely set off the industry's current mania for generative AI. If you squint at Bloomberg's graph, you can almost see the growth in energy usage slowing down a bit since that momentous year for generative AI.
Ars Technica first cites Dutch researcher Alex de Vries's estimate that in a few years the AI sector could use between 85 and 134 TWh of power. But another study estimated in 2018 that PC gaming already accounted for 75 TWh of electricity use per year, while "the IEA estimates crypto mining ate up 110 TWh of electricity in 2022." More to the point, de Vries' AI energy estimates are only a small fraction of the 620 to 1,050 TWh that data centers as a whole are projected to use by 2026, according to the IEA's recent report. The vast majority of all that data center power will still be going to more mundane Internet infrastructure that we all take for granted (and which is not nearly as sexy of a headline bogeyman as "AI").
The future is also hard to predict, the article concludes. "If customers don't respond to the hype by actually spending significant money on generative AI at some point, the tech-marketing machine will largely move on, as it did very recently with the metaverse and NFTs..."

The Wall Street Journal reports that a European initiative studying the feasibility data centers in space "has found that the project could be economically viable" — while reducing the data center's carbon footprint.

And they add that according to coordinator Thales Alenia Space, the project "could also generate a return on investment of several billion euros between now and 2050." The study — dubbed Ascend, short for Advanced Space Cloud for European Net zero emission and Data sovereignty — was funded by the European Union and sought to compare the environmental impacts of space-based and Earth-based data centers, the company said. Moving forward, the company plans to consolidate and optimize its results. Space data centers would be powered by solar energy outside the Earth's atmosphere, aiming to contribute to the European Union's goal of achieving carbon neutrality by 2050, the project coordinator said... Space data centers wouldn't require water to cool them, the company said.
The 16-month study came to a "very encouraging" conclusion, project manager Damien Dumestier told CNBC. With some caveats... The facilities that the study explored launching into space would orbit at an altitude of around 1,400 kilometers (869.9 miles) — about three times the altitude of the International Space Station. Dumestier explained that ASCEND would aim to deploy 13 space data center building blocks with a total capacity of 10 megawatts in 2036, in order to achieve the starting point for cloud service commercialization... The study found that, in order to significantly reduce CO2 emissions, a new type of launcher that is 10 times less emissive would need to be developed. ArianeGroup, one of the 12 companies participating in the study, is working to speed up the development of such reusable and eco-friendly launchers. The target is to have the first eco-launcher ready by 2035 and then to allow for 15 years of deployment in order to have the huge capacity required to make the project feasible, said Dumestier...

Michael Winterson, managing director of the European Data Centre Association, acknowledges that a space data center would benefit from increased efficiency from solar power without the interruption of weather patterns — but the center would require significant amounts of rocket fuel to keep it in orbit. Winterson estimates that even a small 1 megawatt center in low earth orbit would need around 280,000 kilograms of rocket fuel per year at a cost of around $140 million in 2030 — a calculation based on a significant decrease in launch costs, which has yet to take place. "There will be specialist services that will be suited to this idea, but it will in no way be a market replacement," said Winterson. "Applications that might be well served would be very specific, such as military/surveillance, broadcasting, telecommunications and financial trading services. All other services would not competitively run from space," he added in emailed comments.

[Merima Dzanic, head of strategy and operations at the Danish Data Center Industry Association] also signaled some skepticism around security risks, noting, "Space is being increasingly politicised and weaponized amongst the different countries. So obviously, there is a security implications on what type of data you send out there."
Its not the only study looking at the potential of orbital data centers, notes CNBC. "Microsoft, which has previously trialed the use of a subsea data center that was positioned 117 feet deep on the seafloor, is collaborating with companies such as Loft Orbital to explore the challenges in executing AI and computing in space."

The article also points out that the total global electricity consumption from data centers could exceed 1,000 terawatt-hours in 2026. "That's roughly equivalent to the electricity consumption of Japan, according to the International Energy Agency."

Peter Scarfe, a researcher at the University of Reading's School of Psychology and Clinical Language Sciences, conducted an experiment testing the vulnerability of their examination system to AI-generated work. Using ChatGPT-4, Scarfe's team submitted over 30 AI-generated answers across multiple undergraduate psychology modules, finding that 94 percent of these submissions went undetected and nearly 84 percent received higher grades than human counterparts. The findings have been published in the journal PLOS One. Ars Technica reports: Scarfe's team submitted AI-generated work in five undergraduate modules, covering classes needed during all three years of study for a bachelor's degree in psychology. The assignments were either 200-word answers to short questions or more elaborate essays, roughly 1,500 words long. "The markers of the exams didn't know about the experiment. In a way, participants in the study didn't know they were participating in the study, but we've got necessary permissions to go ahead with that," Scarfe claims. Shorter submissions were prepared simply by copy-pasting the examination questions into ChatGPT-4 along with a prompt to keep the answer under 160 words. The essays were solicited the same way, but the required word count was increased to 2,000. Setting the limits this way, Scarfe's team could get ChatGPT-4 to produce content close enough to the required length. "The idea was to submit those answers without any editing at all, apart from the essays, where we applied minimal formatting," says Scarfe.

Overall, Scarfe and his colleagues slipped 63 AI-generated submissions into the examination system. Even with no editing or efforts to hide the AI usage, 94 percent of those went undetected, and nearly 84 percent got better grades (roughly half a grade better) than a randomly selected group of students who took the same exam. "We did a series of debriefing meetings with people marking those exams and they were quite surprised," says Scarfe. Part of the reason they were surprised was that most of those AI submissions that were detected did not end up flagged because they were too repetitive or robotic -- they got flagged because they were too good.

Out of five modules where Scarfe's team submitted AI work, there was one where it did not receive better grades than human students: the final module taken by students just before they left the university. "Large language models can emulate human critical thinking, analysis, and integration of knowledge drawn from different sources to a limited extent. In their last year at the university, students are expected to provide deeper insights and use more elaborate analytical skills. The AI isn't very good at that, which is why students fared better," Scarfe explained. All those good grades Chat GPT-4 got were in the first- and second-year exams, where the questions were easier. "But the AI is constantly improving, so it's likely going to score better in those advanced assignments in the future. And since AI is becoming part of our lives and we don't really have the means to detect AI cheating, at some point we are going to have to integrate it into our education system," argues Scarfe. He said the role of a modern university is to prepare the students for their professional careers, and the reality is they are going to use various AI tools after graduation. So, they'd be better off knowing how to do it properly.

An anonymous reader shares a report: Bill Gates has defended the rapid rise in energy use caused by AI systems, arguing the technology would ultimately offset its heavy consumption of electricity. Speaking in London, Gates urged environmentalists and governments to "not go overboard" on concerns about the huge amounts of power required to run new generative AI systems, as Big Tech companies such as Microsoft race to invest tens of billions of dollars in vast new data centres.

Data centres will drive a rise in global electricity usage of between 2-6 per cent, the billionaire said. "The question is, will AI accelerate a more than 6 per cent reduction? And the answer is: certainly," said Gates, the Microsoft co-founder who has been a prolific investor in companies developing sustainable energy and carbon- reduction technologies. In May, Microsoft admitted that its greenhouse gas emissions had risen by almost a third since 2020, in large part due to the construction of data centres.

Gates, who left Microsoft's board in 2020 but remains an adviser to chief executive Satya Nadella, said tech companies would pay a "green premium" -- or higher price -- for clean energy as they seek new sources of power, which was helping to drive its development and deployment. "The tech companies are the people willing to pay a premium and to help bootstrap green energy capacity," he said at the Breakthrough Energy Summit in London on Thursday.

Amazon's cloud arm is investigating Perplexity AI for potential violations of its web services rules, the e-commerce giant told Wired. The startup, backed by Jeff Bezos' family fund and Nvidia, allegedly scraped websites that had explicitly forbidden such access.

Earlier this month, WIRED uncovered evidence of Perplexity using an unmarked IP address to bypass restrictions on major news sites. The company's CEO, Aravind Srinivas, claimed a third-party contractor was responsible but declined to name them.

Mark Zuckerberg has criticized the notion of a singular, dominant AI in a new interview. He argued against the idea of AI technology being "hoarded" by one company, taking aim at unnamed competitors who he suggested view themselves as "creating God." Zuckerberg advocated for open-source AI development, emphasizing the need for diverse AI systems reflecting varied interests.

He likened the future AI landscape to the current ecosystem of phone apps, content creators, and businesses, where no single entity dominates. Meta announced early U.S. tests of AI Studio, software enabling creators to build AI avatars for Instagram messaging. These AIs will be clearly labeled to avoid confusion. Zuckerberg stressed the importance of empowering many to experiment with AI, stating, "That's what culture is, right? It's not one group of people getting to dictate everything for people."

The Center for Investigative Reporting (CIR), the nation's oldest nonprofit newsroom, sued OpenAI and Microsoft in federal court on Thursday for allegedly using its content to train AI models without consent or compensation. CIR, founded in 1977 in San Francisco, evolved into a multi-platform newsroom with its flagship distribution platform Reveal. In February, it merged with Mother Jones.

"OpenAI and Microsoft started vacuuming up our stories to make their product more powerful, but they never asked for permission or offered compensation, unlike other organizations that license our material," said Monika Bauerlein, CEO of the Center for Investigative Reporting, in a statement. "This free rider behavior is not only unfair, it is a violation of copyright. The work of journalists, at CIR and everywhere, is valuable, and OpenAI and Microsoft know it." Bauerlein said that OpenAI and Microsoft treat the work of nonprofit and independent publishers "as free raw material for their products," and added that such moves by generative AI companies hurt the public's access to truthful information in a "disappearing news landscape." Engadget reports: The CIR's lawsuit, which was filed in Manhattan's federal court, accuses OpenAI and Microsoft, which owns nearly half of the company, of violating the Copyright Act and the Digital Millennium Copyright Act multiple times.

News organizations find themselves at an inflection point with generative AI. While the CIR is joining publishers like The New York Times, New York Daily News, The Intercept, AlterNet and Chicago Tribune in suing OpenAI, others publishers have chosen to strike licensing deals with the company. These deals will allow OpenAI to train its models on archives and ongoing content published by these publishers and cite information from them in responses offered by ChatGPT.

Al Michaels, the 79-year-old American broadcaster, who first covered the Olympics decades ago, is returning to broadcasting via an AI clone. NBCUniversal and Peacock will use AI-generated narration by Al Michaels for daily customized highlight reels of the Summer Olympics. Officials say they anticipate seven million different variations of the customized highlights throughout the games. The New York Times reports: Al Michaels, the 79-year-old American broadcaster, who first covered the Olympics decades ago, is coming back to primetime. It does raise a key question, one that recalls Mr. Michaels's most famous Olympic call: Do NBCUniversal executives believe in miracles? NBC has been exclusively broadcasting the Olympics in the United States since 1996, and the network frequently finds itself subject to intense public scrutiny for its coverage of the Games. [...]

Subscribers who want the daily Peacock highlight reel will be able choose the Olympic events that interest them most, and the types of highlights they want to see, such as viral clips, gold medalists or elimination events. From there, Peacock's A.I. machines will get to work each evening cranking out the most notable moments and putting them together in a tidy customized package. Mr. Michaels's recreated voice will be piped over the reels. (Humans will make quality control checks on the A.I. highlight reels.)

Alibaba's Qwen models dominated Hugging Face's latest LLM leaderboard, securing three top-ten spots. The new benchmark, launched Thursday, tests open-source models on tougher criteria including long-context reasoning and complex math. Meta's Llama3-70B also ranked highly, but several Chinese models outperformed Western counterparts. (Closed-source AIs like ChatGPT were excluded.) The leaderboard replaces an earlier version deemed too easy to game.

Intel has introduced an advanced optical input/output chiplet, marking what it claims to be a significant leap in data center technology. The optical compute interconnect (OCI) chiplet, unveiled at the Optical Fiber Communication Conference 2024, is designed for integration with CPUs and GPUs and boasts 64 PCIe 5.0 channels transmitting 4 Tbps over 100 meters using fiber optics. Tom's Hardware adds: The chiplet uses dense wavelength division multiplexing (DWDM) wavelengths and consumes only five pico-Joules per bit, significantly more energy-efficient than pluggable optical transceiver modules, which consume about 15 pico-Joules per bit, according to Intel. This device is crucial for next-generation data centers and AI/HPC applications. It will enable high-performance connections for CPU and GPU clusters, coherent memory expansion, and resource disaggregation. These features will be handy for operating supercomputers for large-scale AI models and machine learning tasks that require tremendous data bandwidth.

Google has unveiled its largest-ever expansion of Translate, adding 110 new languages powered by its PaLM 2 AI model. The update spans major world languages and endangered tongues, covering an additional 614 million speakers globally.

Highlights include Cantonese, long-requested by users, and a quarter of the new offerings from Africa. Some additions, like Manx from the Isle of Man, showcase dramatic revival stories. The expansion reflects Google's ambitious "1,000 Languages Initiative" and follows its 2022 addition of 24 languages using zero-shot machine translation. Challenges in implementation included navigating regional varieties and non-standardized forms, the company wrote in a blog post.

An anonymous reader quotes a report from Reuters: Seven content-licensing sellers of music, image, video and other datasets for use in training artificial intelligence systems have formed the sector's first trade group, they said on Wednesday. The Dataset Providers Alliance (DPA) will advocate for 'ethical data sourcing' in the training of AI systems, including rights for people depicted in datasets and the protection of content owners' intellectual property rights, the companies said in a statement. Founding members include U.S. music dataset company Rightsify, image licensing service vAIsual, Japanese stock photo provider Pixta and Germany-based data marketplace Datarade.

An anonymous reader quotes a report from Wired: In recent weeks, as so-called cheap fake video clips suggesting President Joe Biden is unfit for office have gone viral on social media, a Kremlin-affiliated disinformation network has been promoting a parody music video featuring Biden wearing a diaper and being pushed around in a wheelchair. The video is called "Bye, Bye Biden" and has been viewed more than 5 million times on X since it was first promoted in the middle of May. It depicts Biden as senile, wearing a hearing aid, and taking a lot of medication. It also shows him giving money to a character who seems to represent illegal migrants while denying money to US citizens until they change their costume to mimic the Ukrainian flag. Another scene shows Biden opening the front door of a family home that features a Confederate flag on the wall and allowing migrants to come in and take over. Finally, the video contains references to stolen election conspiracies pushed by former president Donald Trump.

The video was created by Little Bug, a group that mimics the style of Little Big, a real Russian band that fled the country in 2022 following Russia's invasion of Ukraine. The video features several Moscow-based actors -- who spoke with Russian media outlet Agency.Media -- but also appears to use artificial intelligence technology to make the actors resemble Biden and Trump, as well as Ilya Prusikin, the lead singer of Little Big. "Biden and Trump appear to be the same actor, with deepfake video-editing changing his facial features until he resembles Biden in one case and Trump in the other case," says Alex Fink, an AI and machine-vision expert who analyzed the video for WIRED. "The editing is inconsistent, so you can see that in some cases he resembles Biden more and in others less. The facial features keep changing." An analysis by True Media, a nonprofit that was founded to tackle the spread of election-related deepfakes, found with 100 percent confidence that there was AI-generated audio used in the video. It also assessed with 78 percent confidence that some AI technology was used to manipulate the faces of the actors.

Fink says the obvious nature of the deepfake technology on display here suggests that the video was created in a rush, using a small number of iterations of a generative adversarial network in order to create the characters of Biden and Trump. It is unclear who is behind the video, but "Bye, Bye Biden" has been promoted by the Kremlin-aligned network known as Doppelganger. The campaign posted tens of thousands of times on X and was uncovered by Antibot4Navalny, an anonymous collective of Russian researchers who have been tracking Doppelganger's activity for the past six months. The campaign first began on May 21, and there have been almost 4,000 posts on X promoting the video in 13 languages that were promoted by a network of almost 25,000 accounts. The Antibot4Navalny researchers concluded that the posts were written with the help of generative AI technology. The video has been shared 6.5 million times on X and has been viewed almost 5 million times.