Submission + - Bill Gates Proposes Major Limits On AI Development (cnn.com)

An anonymous reader writes: Microsoft co-founder Bill Gates argued on Wednesday that artificial intelligence needs significant limits or else the harm to humans will outweigh any potential good. "AI will either be the greatest equalizer ever invented, or the worst source of injustice," he said in a 6,000-word essay, entitled “The turbulent AI era is here. The choices we make now are critical.”

[...] “Even under the best circumstances, the transition to this new AI era will be one of the most turbulent times in human history,” he said, adding that “I don’t see evidence that leaders, experts, and communities are confronting the challenges adequately. There is no plan to ease the entry into the AI era.” AI can provide great benefits in field like agriculture and medicine, he argued, such as breakthroughs in preventing and treating diseases. But he also noted that the transition carries big risks, like widespread unemployment, harming the educational and social development of children, or making it easier for criminals and bad actors – or AI itself – to cause deliberate harm.

“As the models become more powerful, they could begin to act against our interests and we could lose control,” he warned. These significant risks must be controlled quickly, Gates said. “If someone had a credible plan for slowing down AI advances globally, I would likely support it,” he wrote. “However, I don’t think that’s going to happen. The geopolitical and economic incentives are pushing too hard to go full speed ahead.” In an interview with CNN’s Anderson Cooper that will air on Wednesday evening, Gates said AI models have gotten dramatically more powerful at a rate faster than he expected. “They’re now capable of causing cyberattack risk, bioterrorism risk, psychosocial risk,” he said. “I have to say I’m kind of shocked that the exact criteria that we review these models with, and the actions we take to minimize the harms, are really completely missing.”

In his essay, Gates proposed taxing AI or robots the way you would pay a human employee’s payroll tax in order to slow the shift away from using human labor. He also wants to set aside some work to be done by humans only. “My message to leaders is: You have a chance to act now, before unemployment rises sharply, communities are hurting, and public trust has eroded,” he said. “You can make sure AI benefits everyone. And you can work with other governments to meet this national and global challenge.”

Submission + - Microsoft Admits AI Training in New User Privacy Statment (microsoft.com) 1

An anonymous reader writes: "Microsoft uses the data we collect to provide you with rich, interactive experiences. Specifically, we use data to: Provide our products, which includes updating, securing, and troubleshooting, as well as providing support and making recommendations. Improve and develop our products. As part of our efforts to improve and develop our products, we may use your data to develop and train our AI models...."
...
"Not all personal data processed by Microsoft can be accessed or controlled via the tools described in this section."
...

Submission + - Inside the Warehouse Where Amazon Scans and Destroys Books for AI Training (404media.co)

alternative_right writes: At first what they were telling people is that it was for Kindles, but I just didn't believe that. I instantly was like, I don't think that's how they do it because of publication rights and stuff, copyright and everything. Then I saw it was for AI. I don't like it only because I wish I could take these books. There's so much knowledge and so much stuff in them and some of them look like they might be rare, and I've heard that they order rare books, and that's why I say some of these are so obscure. I definitely don't like the idea that they can't be reused or anything like that afterwards. They're reducing the amount of available copies for other people.

Submission + - Hewlett Packard Enterprise retroactively cuts Aruba lifetime warranty to 5 years (hpe.com)

UnknowingFool writes: Hewlett Packard Enterprise announced that starting on January 15, 2027, lifetime warranties on all Aruba networking equipment will change from to "limited lifetime" (End of Sales + 5 years). This was done to “simplify and standardize our warranty experience" and seemingly will affect products already sold to customers. The networking equipment in question is not consumer grade but enterprise level that could cost tens of thousands of dollars a piece. There are questions about the legality of retroactively changing warranty terms after sale and there has not been a reaction by enterprises yet.

Submission + - Meta reaches $16.68 billion settlement over social media harms to children (reuters.com)

2phar writes: Meta agreed to pay a maximum $16.68 billion as part of a settlement to resolve claims brought by states across the country that the company designed Facebook and Instagram to addict children, misled consumers about their safety, and improperly collected personal data of children who used its platforms, court papers show.

Meta also agreed to make changes for teenage users of Facebook and Instagram nationwide, including daily usage limits and nighttime blocks, court papers show.

The company denied wrongdoing in agreeing to settle. Shares of Meta rose 4.4% in pre-market trading.

Submission + - China's Moonshot in talks with Microsoft, Amazon, Google over K3 revenue sharing (reuters.com)

schwit1 writes: China's Moonshot AI is negotiating revenue-sharing agreements with Microsoft, Amazon, and Alphabet's Google, that would allow the U.S. cloud giants to host its blockbuster Kimi K3 model, three people familiar with the talks said.

Any deal could mark the first big revenue-sharing pact between a Chinese AI firm and a major U.S. cloud company.

The discussions highlight how China's leading AI models, often far cheaper than Western offerings, are gaining traction in the U.S., despite national security concerns in Washington that have led to bans on exports of AI chips to China. They are also taking place despite critical comments about Moonshot from senior U.S. officials.

IPO-bound Moonshot is seeking up to a 30% share of revenue generated from K3-related services on Microsoft's Azure, Amazon Web Services and Google Cloud, according to the sources who declined to be identified because the discussions are private.

That would be in line with terms that sources have said the startup has outlined for major customers using the open-weight model.

Moonshot has come under fire from U.S. Treasury Secretary Scott Bessent who said last month that he might add it to a trade blacklist. U.S. officials have accused the Beijing-based company of stealing from Anthropic's most sophisticated model, Fable, to help create Kimi K3 and illegally acquiring Nvidia chips.

Founded in 2023 by Carnegie Mellon-trained AI researcher Yang Zhilin, Moonshot is backed by several Chinese tech giants including cloud computing giant Alibaba.

Submission + - Microsoft deepens Saudi Arabia AI ties despite longstanding privacy concerns (nerds.xyz)

BrianFagioli writes: Microsoft is deepening its AI ties with Saudi Arabia through HUMAIN, a state-backed AI company chaired by Crown Prince Mohammed bin Salman.

The partnership could bring HUMAINs Arabic-language ALLAM models into Microsoft Foundry and Microsoft 365 Copilot. HUMAIN engineers will also work alongside Microsoft engineers to help organizations deploy AI systems.

The relationship deserves scrutiny. Human rights groups have previously raised concerns about Microsofts Saudi expansion, including privacy, surveillance, and government access to data.

Microsoft says its technology can meet enterprise and public-sector security and governance requirements. But as the company gets closer to a Saudi state-backed AI operation, questions remain about what happens when those requirements collide with Microsofts privacy and human rights commitments.

Submission + - Lab Supply Companies Have Been Selling Antibodies Using Manipulated Images (arstechnica.com)

An anonymous reader writes: Antibodies play a central role in your body’s immune defense. But they’re also nearly ubiquitous in biological research, being essential for several widely used lab techniques. While some researchers need to go through the process of producing their own antibodies, antibodies to many key proteins are commercially available and can be ordered for overnight delivery. In May, however, Reese Richardson, a post-doc at Northwestern University, discovered that some of the images used to demonstrate how these antibodies performed in lab experiments had been subject to image manipulation—the sorts of changes that would get a paper retracted if they had appeared in the academic literature. The manipulations ranged from removing background noise to copying and pasting data to fabricate results. Now, he has done a more exhaustive search and found problematic manipulations in images used to market over 17,000 commercial antibodies.

[...] The consequences of this discovery are pretty significant. If you buy an antibody believing it will generate clean, clear data and find it doesn’t, many researchers will assume the problem is them. That often leads them to spend time troubleshooting the procedure and trying slightly different conditions to get useful data. If the antibody can’t produce those results, all the troubleshooting will have been a waste of time and money. Nature’s coverage of the new findings includes quotes from several companies that sell these antibodies that, paraphrased, range from “we’ll look into it” to “we don’t think it’s a problem.” Researchers who have spent time frustrated while failing to get an antibody-based experiment to work may think otherwise.

Submission + - AI Is Hitting Entry-Level Jobs Hardest, Stanford Study Finds (arstechnica.com)

An anonymous reader writes: For years, AI industry watchers of all stripes have been warning of a coming jobs apocalypse driven by ultra-intelligent AI systems that will be able to replicate most human tasks more cheaply. Now, newly updated research from Stanford University economists suggests AI seems to be causing significant entry-level job losses for younger workers in some fields, even as older workers appear largely unaffected so far.

The August 2026 edition of “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence” updates and revises a paper of the same name published last year with fresh data and refined statistics. In that update, the Stanford researchers find the employment trends they identified for entry-level workers last year are persisting and expanding. Specifically, employment levels for workers ages 22 to 25 in the most “AI-exposed” occupations are now 19 percent below those of their peers in fields less exposed to AI disruption. Last year, that gap measured just 13 percent.

[...] Digging deeper into the data, the researchers found that this phenomenon is mainly manifesting itself through lower hiring rates for entry-level workers in AI-impacted fields, rather than increased firings or employees quitting. They also found that the labor market effects among this age group were mostly seen in lower overall employment, rather than reduced pay rates. But not all jobs that show potential for AI “disruption” are created equal, the researchers found. In its Economic Index, Anthropic differentiates between queries related to tasks that are “automative” (i.e., fully replacing work previously done by a human) or “augmentative” (i.e., helping human workers be more effective at tasks they are still needed for). By this measure, jobs like “accountants and auditors” and “receptionists and information clerks” were among those judged most susceptible to AI automation, while jobs like “chief executive” and “registered nurse” were among those using AI augmentation most often.

Unsurprisingly, jobs where AI automation is prevalent are the ones showing the worst relative employment levels for entry-level workers these days. “The findings are consistent with automation-oriented uses of AI substituting for labor while complementary uses are associated with flat or rising employment,” the researchers write.

Submission + - Scientists may have figured out why dead brains don't always rot. (smithsonianmag.com)

fahrbot-bot writes: Smithsonian magazine discusses a new study on how, under the right conditions — wet and oxygen-deprived — the same chemical reactions that cause tissue to break down can instead have the opposite effect on brain tissue and preserve it instead.

The brain is one of the first organs to begin decomposing after death. Yet archaeologists have discovered more than 4,400 preserved human brains around the world, some of which have remained intact for the last 12,000 years. In hundreds of cases, the brain was the only soft tissue left among otherwise skeletal remains.

But how and why do brains sometimes persist for millennia while all other types of soft tissue disappear? This preservation paradox has stumped scientists for years. Now, however, a team of researchers say they may have solved the mystery.

If a brain ends up in a wet, oxygen-starved environment, the processes that usually cause decay can have the opposite effect, researchers report in a study published in the August 7 issue of the Journal of Proteome Research.

“Under the right conditions, preservation actually arises from decay itself: The same reactions that degrade tissue can also weld the breakdown products together into something far tougher,” study co-author Alexandra Seviour, a paleobiologist at the University of Oxford in England, tells Live Science’s Victoria Atkinson.

Following experiments on 72 mouse carcasses (described in the article) the scientists think they know why. When oxygen is abundant, it triggers a cascading, chemical chain reaction that causes brain proteins to break down rapidly. This sequence hinges on free radicals, highly reactive, unstable molecules that “steal” electrons from nearby atoms and molecules. The process happens in the brains of living people too, and if left unchecked, can cause health problems.

In low-oxygen environments, however, this chemical sequence appears to play out differently. The researchers’ analyses hint that free radicals instead react and bond with nearby proteins, making the overall tissue tougher and more resistant to decomposition, Seviour tells Chemical and Engineering News’ Anirban Mukhopadhyay.

The findings show that “decay is not the opposite of preservation but, under specific chemical constraints, one of its mechanisms,” the researchers write in the paper.

Submission + - Scientists Turn Plastic Waste Into Edible Cookies (futurism.com)

fjo3 writes: In the event we turn all arable land on this planet into a barren heath incapable of growing food, humankind may have to resort to reaping what we sowed by eating our own plastic pollution.

A team of researchers at Southern Illinois University Carbondale just demonstrated that this was possible by using specially engineered yeast to create tasty — and yes, edible — cookies which they 3D printed out of plastic waste.

The yeast breaks down the components of plastic compounds and agricultural byproducts like discarded plant stalks into proteins, fats, acids, and flavorings that we can eat. When these are combined together, the mixture is fed into a 3D printer that spits out cookies of any desired shape.

Submission + - Citrix adds a Linux powered escape hatch for broken Windows PCs (nerds.xyz)

BrianFagioli writes: Citrix has introduced a dual boot capability for UniconOS that installs a separate Linux based recovery environment alongside Windows. If ransomware, a failed update, or operating system corruption leaves Windows unavailable, an employee can reboot into UniconOS and reconnect to company applications through Citrix DaaS and SecurAccess. The feature is available with Citrix UniconOS Release 7 2607.

The recovery environment sits on its own partition and remains isolated from the Windows filesystem. It does not repair Windows, and it cannot help with failed hardware, missing network access, or unavailable Citrix infrastructure. However, it could give enterprises a faster way to keep employees working while IT investigates or repairs affected Windows installations.

Submission + - Study: Most Mealtime Screen Time Is TV, Not Social Media (reason.com)

fjo3 writes: Everyone has seen them out at restaurants: the "iPad babies" and zoned-out families. Parents letting their children, some quite young, stare at phones or tablets throughout the meal, sometimes while mom and dad also look at screens.

It's easy to judge those families, though I try to remind myself that we, as casual onlookers, never know the full story. Maybe this almost never happens but tonight the parent has a crucial work deadline. Maybe it's been that rare kind of extraordinarily stressful day. Maybe that boy has developmental issues and this is the only way he can get through a restaurant meal, which the family needs to do because they're traveling. Maybe, whatever the reason, this is an anomaly and not the mealtime norm.

But screen time during meals may be the norm for many families, according to some new research published in JAMA Pediatrics.

Hold up, though—before you call in Jonathan Haidt (or Josh Hawley, or Jean Twenge, or whoever your favorite tech-panic evangelist might be), take a closer look at what sorts of screens that kids are using. The most common form of mealtime media consumption for kids in this study was "watching content on a large-screen device." That is, a TV, or something akin to a TV.

Submission + - sleepwalker waits for the "magic packet" (theregister.com)

fred133 writes: The Register has a story about a windows backdoor that waits in memory for a "magic packet" to do its deeds. No outgoing, just waiting...
Israeli's??? NSA??? Sophisticated code ...

Submission + - Windows NT 4 went on sale 30 years ago today

An anonymous reader writes: Windows NT 4 went on sale 30 years ago today

Today marks the 30th anniversary of Microsoft Windows NT 4.0 becoming available on August 24, 1996.

It was not without flaws. To improve the responsiveness of the new desktop, Microsoft chose to move NT’s 2D graphics rendering subsystem, the Graphics Device Interface or GDI, directly into the Windows kernel for improved performance. This eliminated an elegant aspect of the NT 3.x design, and meant that a bug in a display driver could crash the OS, introducing issues that would persist for over a decade, until the release of Windows Vista in 2007.

It was the beginning of the end for Novell NetWare. It also compounded Apple’s technological difficulties, leading to the company acquiring Steve Jobs’ NeXT Computer four months later. ®

Submission + - BMW Blames Young People for Loss of Real Buttons in New Cars (caranddriver.com)

sinij writes:

In an interview with CarExpert, Vikram Pawah, the CEO of BMW Group Australia, said that young buyers prefer the newer controls. “We can see that voice and touch are becoming more and more common,” Pawah told the outlet. “Maybe it’s a generational thing as well. You would see that a lot of the younger generation, maybe 45 or below, they’re tapped into these technologies at a faster pace, using voice, using touch.”

This would be somewhat believable if this design only affected cars targeted at young buyers. It does not. Many of BMW are targeted at affluent boomers and Gen X due to high price.

Submission + - Google plans to stop making Pixel products in China in 2027 (archive.is)

An anonymous reader writes: The news broke only after Google quietly passed word to suppliers. The company has made no public announcement and ignored a request for comment.

Vietnam first got a piece of Pixel production in 2019, but the real engineering — how new models get designed for mass production, down to the testing gear and tooling — stayed in China. The Pixel 11 was the first time Google moved all of that work to Vietnam, too. That was the hard part.

Pulling that off proved the concept. Google did not need to build from scratch, either; Samsung's massive investment in Vietnam had already drawn component suppliers to the country, and if Vietnam can handle a flagship smartphone, earbuds and watches are no problem.

Google also has far less to lose in China than Apple does. Pixel phones aren't sold there, so Beijing can't threaten Google's customer base the way it can Apple's. Apple is tangled up with Chinese consumers and Chinese factories at the same time; Google can cut the manufacturing cord without sacrificing a single sale.

China still accounts for a significant share of Pixel production today. Once those lines are gone, Beijing loses whatever leverage it currently holds over Google's hardware. That's not a small thing; the ability to slow, disrupt, or pressure a company through its own factories is a tool authoritarian governments have used before.

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