Friday, August 21, 2026


TECH


Pew Research Center: AI-generated content on the web exceeds 35% of recent pages

The presence of AI-generated content on the web surpassed 35% on pages published after the launch of ChatGPT, according to a Pew Research Center study released on August 20, 2026. The analysis evaluated the evolution of algorithm-synthesized text on the English-language internet between January 2021 and July 2026. The results demonstrate artificial intelligence's transition from a niche tool to one of the primary drivers of text production within the digital ecosystem.

Across the entire active sample collected in July 2026, the average proportion of pages showing signs of automation stands at 10%. This sample includes the historical archive from before 2022, which lowers the overall average. However, isolating data from the period following the market arrival of large language models reveals a continuous acceleration in the rate of automated production.

The Pew Research Center study on AI confirms that more than one-third of recent text production on the internet involves direct algorithmic intervention. The investigation gathered 490,000 web pages from the public Common Crawl repository, divided into 49 monthly samples of 10,000 pages each.

The team of data scientists submitted the texts to the open-weights model *editlens_Llama-3.2-3B*, developed by the organization Open Pangram. The classifier assigned each document a score between zero and one based on statistical probabilities regarding authorship. Pages with a score of 0.2 or higher were categorized as showing signs of algorithmic drafting or substantial editing.

Samuel Bestvater, a senior data scientist at the Pew Research Center and the study's lead author, stated in the report that "artificial intelligence models learn to mimic human writing patterns and may end up using certain words, phrases, or linguistic quirks more frequently than human authors do." The research center acknowledges margins of error in individual texts but maintains the statistical robustness of the aggregate sample collected over five years.

Distribution by domain and prevalence of AI-written web pages...The rate of AI-generated content on the web is concentrated primarily in commercial .com domains, reaching 9.4% of all active pages in 2026. In contrast, institutional domains maintain negligible levels of automation.

The distribution of AI-written web pages varies according to the purpose of each internet address:

.com domains: Record 9.4% of pages showing signs of AI in 2026, following a steady rise from the 1.09% observed in 2021.

.org domains: Show a rate of 4.6%, a figure corresponding to half the incidence observed on commercial platforms.

.edu domains: Maintain a presence of 1.0%, with minimal variation from the 0.57% recorded in early 2021.

.gov domains: Stand at 0.8%, the lowest percentage among all analyzed categories.

Pressure to generate mass traffic and optimize for search engines explains the acceleration observed in the commercial sector. Conversely, government and higher education platforms maintain formal human review processes that limit the direct publication of algorithmic text.

AI text detection relies on identifying statistical deviations in punctuation, vocabulary, and syntax. The proliferation of generative models altered the very formal structure of text available on the internet between 2023 and 2026.

Data from the Pew Research Center identifies four key changes in online writing:

Explanatory dashes: The frequency of this punctuation mark rose from 5.79 to 11.19 occurrences per 10,000 words between 2023 and 2026.

Oxford comma: The use of the comma before the final conjunction in lists saw a 63% increase during the same period.

Characteristic vocabulary: English terms such as *delve*, *interplay*, *tapestry*, *pivotal*, *testament*, *underscore*, and *intricate* doubled their rate of occurrence across the open web.

Negative rhetorical parallelism: Comparative structures such as “it is not just X, it is Y” nearly tripled in statistical incidence.

These elements do not constitute definitive proof of AI-generated writing on their own, as they are also part of human language usage. However, their cumulative density allows classifiers to calculate the mathematical probability of algorithmic intervention in a document.

Structural risks and the impact of artificial intelligence on the internet...The impact of artificial intelligence on the internet poses challenges to preserving the integrity of public data and to the development of future computing systems. The primary technical risk identified by experts is "model collapse."

The expansion of AI-generated content on the web means that future generations of language models will ingest synthetic text as primary training material. This closed feedback loop can amplify factual errors, reduce lexical diversity, and lead to a gradual degradation in the quality of responses from digital assistants.

The proliferation of automated text also alters search engine indexing strategies. The saturation of the web with low-cost articles necessitates stronger quality filters to distinguish original sources from mechanical syntheses.

A cycle of self-pollution...This is not merely a story about "declining content quality"; it strikes at the very foundations of the AI ​​industry.

In 2024, *Nature* published a paper by a research team from Oxford and Cambridge proving that AI models suffer from "model collapse" during recursive training (using AI-generated data to train the next generation of AI): outputs gradually drift away from the real-world data distribution, lose rare patterns found in the distribution's tails, and—after several iterations—generate increasingly homogeneous and even nonsensical content. Researchers at Epoch AI predict that the supply of high-quality, human-authored text suitable for training AI could be exhausted between 2026 and 2032.

The cycle can already be described: AI models read the human internet and generate new web pages in bulk; these new pages are indexed by search engines and archived by crawling tools like Common Crawl; and next-generation AI models continue to be trained on this data. With each cycle, the concentration of "AI-writing-for-AI" content in the training data increases, while signals derived directly from human experience are diluted.

If the internet's signal-to-noise ratio continues to deteriorate, content creators who rely on search traffic will be the first to feel the impact.

Search results are becoming saturated with homogeneous, AI-rewritten content, making it increasingly difficult for readers to distinguish between the "original" and the "copy." Google is already replacing some click-through links in search results with "AI Overviews," and a Pew study from July of this year found that only 20% of users consider AI-generated search summaries "very useful," while only 6% deemed them "very trustworthy." As AI-generated rewrites become ubiquitous, the media outlets that provide content with "scarcity value" will be those offering: firsthand information gathered on-site; exclusive data and documents; opinions and judgments traceable to specific human sources; and a distinct editorial voice that readers are willing to pay for.

From the flip side, the metrics used to measure a media outlet's competitiveness are quietly shifting.

The volume of published articles is no longer a barrier to entry; AI can generate a thousand articles a day. The real barrier is "verifiable human authorship": was the information in the article gathered by journalists or created by the model? Was the content shaped by industry-experienced editors or merely by a combination of prompts?

In an internet landscape where 35% of new web pages show traces of AI, the ability to answer that question effectively represents a competitive advantage.

mundophone

Thursday, August 20, 2026

 

TECH


Holographic laser printing makes 3D shapes—voids and all—in one shot

Researchers at the University of Utah’s John and Marcia Price College of Engineering, in collaboration with researchers from The University of Texas at Austin, have demonstrated a new method of 3D printing that avoids the leaky seams that come with the layer-by-layer process. Using a nanoscale “mask” that diffracts laser light into a holographic pattern of the desired shape, it fuses its print material solid in one shot. The process can take as little as 7.5 seconds, a stark contrast from the hours other laser-based printing methods can take. 

In a paper published earlier this year, the Price researchers demonstrated this technique by printing microtubule assemblies with individual diameters as small as 6 micrometers. Long, thin tubes were a natural fit for the printing techniques capabilities, but those capabilities are already expanding. 

Now, along with colleagues from UT Austin, they have demonstrated even more complicated prints, including ones that have hollow voids along multiple axes.  

Their latest study, published in the journal Science Advances, was led by Rajesh Menon, professor in the Department of Electrical & Computer Engineering, along with lab member Dajun Lin. They collaborated with Texas’ Michael Cullinan, associate professor of mechanical engineering, and Zachariah A. Page, associate professor of chemistry, as well as members of their labs. 

Like their previous study, this project takes inspiration from photolithography, but applies the concept to three dimensions.

The researchers’ prints are made of a specially formulated resin. Consisting of stringy polymers, those molecular threads crosslink and harden when exposed to laser light. The unexposed sections of the substrate can then be easily washed away, leaving the desired shape behind.

In 2D photolithography, that shape is controlled by an opaque mask that blocks the laser from reaching the unwanted parts of the substrate. This approach is fine for two dimensions, since light only needs to reach the substrate’s surface. To apply the concept to three dimensions, the laser must pass through the substrate itself, crosslinking a volume of space inside. The challenge there is accuracy; because the substrate isn’t perfectly transparent, it will diffract the path of the laser as it passes through, causing blurring. 

Menon’s group devised a way around the blurring problem: a nanopatterned mask that compensates for the substrate’s diffraction. Placed in front of the light source, the mask channels the laser’s energy only to the volume of substrate that will become the final print.    

In their previous demonstration of the printer, the researchers made a variety of complex microtubule arrays, with dimensional ratios as high as 120:1. These prints featured voids along their length and width — the hollow portions of the tubes — but could not make them along the print’s height, leading Menon to call them “extended 2D” rather than “true 3D.” 

In their latest paper, however, Menon and colleagues have devised a way around this limitation.

The researchers demonstrated several hollow shapes, including this cube(University of Utah)

Starting with tweaks to the chemical makeup of their resin, the researchers take advantage of the fact that the light exposure and curing process happen at vastly different timescales, with the former taking place multiple orders of magnitude faster than the other. Through careful computational engineering, the researchers can design their photomasks such that print regions intended to remain hollow voids are kept dark enough to avoid crosslinking. 

“We engineer the way light flows through the resin such that there are bright regions where we want curing to happen — the solid regions of the print — and darker regions where we don’t,” says Menon.

The resulting shapes, including a hollow cylinder and cube, serve as a proof-of-concept for even larger prints, all done in a matter of seconds. 

Funding for this work came from National Science Foundation Future Manufacturing grant no. 2229036. Partial support was provided by the Robert A. Welch Foundation under grant F-2007.  

Other coauthors include Xiaofeng Chen, Connor J. O’Dea, Ji-Won Kim and Keldy S. Mason, members of Page’s lab, Barbara Groh’s, a member of the Cullinan lab, and Apratim Majumder, a member of Menon’s lab. Chih-Hao Chang, professor of mechanical engineering at the University of Texas at Austin, along with lab member Kwong Sang Lee, also contributed to the paper.

University of Utah


TECH


RMIT white paper identifies gap In Australia’s anti-scam architecture

Scam losses in Australia remain above $2 billion annually, and despite a range of government-led measures introduced in recent years, scams continue to take a toll on individuals across the country, particularly those in vulnerable communities.

A new white paper from RMIT University argues that a gap persists in the national anti-scam framework – one that sits at the very moment a victim is about to hand over funds, but before those funds have been irreversibly transferred.

A window between prevention and response...The paper, Completing Australia’s anti-scam architecture, was authored by RMIT’s Associate Deputy Vice-Chancellor of Strategy, International and Engagement in the College of Business and Law, Professor Mathews Nkhoma, in partnership with community finance organisation, Good Shepherd.

It contends that while Australia’s scam defences have improved, the current architecture is weighted toward two ends of the scam lifecycle: preventing initial contact with potential victims and responding after losses have already occurred. Between those two stages, the paper argues, lies a less formally recognised window where targeted intervention could stop funds from leaving a victim’s hands.

Professor Nkhoma describes this window as the “pre-transaction stage” – the period when a person, under pressure or deception, is seeking access to funds but has not yet sent them.

“The national anti-scam system is currently at its strongest either before contact is made or after loss has occurred,” he explained. “Between these points lies a stage that is less formally recognised – the pre-transaction stage – when a victim of fraud and under pressure or deception, seeks access to funds.”

“This is the point at which behavioural intervention can prevent a scam from progressing and funds have not yet been irreversibly transferred.”

A missing layer in the framework...The white paper’s central argument is that despite its importance, this pre-transaction stage has not been formally recognised as a distinct intervention layer within the national anti-scam architecture.

That means the current system lacks a structured mechanism for intervening at the point where deception meets financial decision-making – a moment the paper frames as one where behavioural intervention could still change the outcome.

“Despite its significance, the pre-transaction stage is not formally recognised as a distinct intervention layer within the national anti-scam architecture,” Professor Nkhoma noted.

The implication, as the paper lays it out, is that victims who have been psychologically manipulated but have not yet completed a transfer are passing through a stage where no formal intervention pathway exists to reach them.

Using existing infrastructure...Rather than calling for a new institution to fill this gap, the white paper proposes that a pre-transaction intervention strategy could be delivered through services that already exist within the community finance sector.

“A proposed pre-transaction stage strategy would operate through existing service infrastructure rather than requiring a new institution, with the purpose of interrupting scam-related harm at the moment when deception intersects with financial decision-making,” Professor Nkhoma outlined.

Community finance services, the paper argues, already sit at the point where individuals make financial decisions and could serve as a practical layer for this type of intervention. These services interact with people at moments of financial need or vulnerability, positioning them to identify warning signs that a transaction may be scam-related.

“Community finance services operate precisely at this point of decision,” he added. “A staged pilot would test and refine this intervention layer, assessing its effectiveness, safeguards and integration within the broader anti-scam framework.”

A staged pilot approach...The white paper recommends a staged pilot program to test the proposed intervention model before any broader rollout. The pilot would focus on evaluating the effectiveness of pre-transaction intervention, determining what safeguards are needed and assessing how the approach could be integrated within Australia’s existing anti-scam framework.

The intent, the paper argues, is not to replace any part of the current system but to complete it – adding a formally recognised layer at the stage where losses can still be prevented.

Professor Nkhoma has held his current role at RMIT since 2021, overseeing strategy, international and engagement initiatives within the College of Business and Law.

The gap in Australia’s anti-scam architecture...Australia's national response to scams has strengthened in recent years through government-led anti-scam measures. Yet losses remain above $2 billion, and scams continue to have a significant and devastating impact on individuals, particularly those in vulnerable communities. In a new white paper, RMIT professor Mathews Nkhoma has identified the critical gap in anti-scam architecture before funds have been irreversibly transferred. 

Professor Mathews Nkhoma, Associate Deputy Vice Chancellor Strategy International & Engagement, College of Business and Law: 

"The national anti-scam system is currently at its strongest either before contact is made or after loss has occurred. Between these points lies a stage that is less formally recognised - the pre-transaction stage - when a victim of fraud and under pressure or deception, seeks access to funds. 

"This is the point at which behavioural intervention can prevent a scam from progressing and funds have not yet been irreversibly transferred. 

"Despite its significance, the pre-transaction stage is not formally recognised as a distinct intervention layer within the national anti-scam architecture.  

"A proposed pre-transaction stage strategy would operate through existing service infrastructure rather than requiring a new institution, with the purpose of interrupting scam-related harm at the moment when deception intersects with financial decision-making.  

"Community finance services operate precisely at this point of decision. A staged pilot would test and refine this intervention layer, assessing its effectiveness, safeguards and integration within the broader anti-scam framework." 

Professor Mathews Nkhoma has authored a white paper Completing Australia’s anti-scam architecture in partnership with Good Shepherd. 


RMIT University

Wednesday, August 19, 2026

 

TECH


Dell releases new 15-inch laptop internationally with AMD Ryzen processors and up to 32 GB RAM

Dell has released a new 15-inch laptop internationally featuring AMD Ryzen 200 processors. Also equipped with a 400-nit display and up to 32 GB of RAM, the Dell 15 D15266 contains upgradeable RAM and storage within a housing that weighs just over 1.5 kg.

Dell continues to expand its budget laptop division with new models. Yesterday, we reported that the company had released a new 14-inch laptop in the form of the Dell 14 D14261 to rival the MacBook Neo. Simultaneously, the company began selling a 15.3-inch alternative with the same Intel Wildcat Lake processors.

As it turns out, Dell also launched the Dell 14 D14265 in Oceania and Southeast Asia. Additionally, the company has complemented this 14-inch laptop with a 15.3-inch alternative. Mirroring its 14-inch counterpart, the Dell 15 D15266 is only available in selected markets. However, Dell's website indicates that the 15.3-inch laptop will eventually launch elsewhere, including in the US.

Dell Technologies announced on August 18 four new models in its standard notebook PC lineup, the "Dell 14" and "Dell 15" series, with sales beginning sequentially. Designed for everyday use, the laptops feature 14-inch and 15.6-inch LCD displays and adopt a plastic chassis that is lighter than previous models.

The four configurations announced include the 14-inch "D14261" and 15.6-inch "D15261" powered by Intel's Core 3 304, and the 14-inch "D14265" and 15.6-inch "D15266" powered by AMD's Ryzen 3 210. The Core 3 304 operates with 5 cores at up to 4.3GHz, while the Ryzen 3 210 features 4 cores and 8 threads running at up to 4.7GHz.

All models come standard with 8GB of memory and a 512GB SSD, running Windows 11 Home. Pricing starts at ¥135,900 (approximately $850) for the D14261, ¥146,900 (approximately $920) for the D15261, and ¥129,900 (approximately $810) for the D14265 (all prices include tax). The D15266 is listed with a release date of "September 0," which is clearly a typographical error, and the actual release timing has not been disclosed.

All models feature displays supporting 1920×1200 pixel resolution with a 16:10 aspect ratio, providing a generous workspace. Despite being standard models, they offer sufficient performance for everyday tasks such as video streaming, document creation, and online meetings.

Higher-end model launched simultaneously...Dell is also introducing a new configuration of its higher-performance 13.4-inch "XPS 13" laptop around the same time. This model is powered by Intel's Core Ultra 7 355 processor, with LPDDR5X memory options of 16GB or 32GB and storage choices of 512GB or 1TB SSD, offering a total of four combinations.

The XPS 13 features a 13.4-inch touchscreen display with 2560×1600 pixel resolution, a refresh rate of 30–120Hz, and 500 nits of brightness. It covers 100% of the DCI-P3 color gamut and supports VESA DisplayHDR 400 and Dolby Vision. Weighing approximately 1kg with a thickness of 12.7mm, it is lighter than the 13-inch MacBook Air M5 at 1.23kg.

The battery capacity is 52Wh, and a 65W USB-C GaN slim AC adapter is included. Cooling employs a dual-fan design, and the laptop is equipped with 8W quad speakers (Dolby Atmos compatible), a 2MP full HD infrared camera, and two Thunderbolt 4-compatible USB-C ports.

Product strategy and market impact...This new product launch is seen as part of Dell's broader effort to refresh its product lineup across a wide price range, from entry-level to premium. The "Dell 14" and "Dell 15" series, priced between ¥120,000 and ¥150,000 (approximately $750–$940), aim to capture replacement demand from students, general households, and business users.

Meanwhile, the XPS 13 configuration with the Core Ultra 7 355 is being sold first in the Chinese market, with rollout timing for other markets yet to be determined. In the Japanese market, Dell appears to be starting with standard models and gradually expanding its lineup.

As manufacturers focus on AI-capable PCs and high-performance laptops, Dell is simultaneously strengthening its affordable lineup to reach a broader user base. Particularly in the Japanese market, where PC prices have been trending upward amid the weak yen, a 14-inch laptop starting in the ¥120,000 range (approximately $750) is expected to hold a certain level of competitiveness.

The confusion regarding the D15266 release date is likely a typographical error in the press release, and further information from Dell on the official release date is awaited.

mundophone



TECH


Christine Lagarde calls for reforms regarding artificial intelligence in the European economy

Europe is facing an erosion of the conditions that historically drove the continent’s growth, its top central banker warned Wednesday, as she called on leaders not to repeat mistakes made during the dotcom boom in the age of AI.

Speaking at the World Economic Forum’s International Business Council in Geneva, Switzerland, on Wednesday, European Central Bank President Christine Lagarde warned that the continent’s post-war growth model is “eroding” and “unlikely to return to the form we once knew.”

This economic growth, Lagarde told an audience, rested on three pillars: expanding global trade, manufacturing supported by access to cheap energy, and “a stable, rules-based global order, underpinned by a U.S. security umbrella.”

All three of those pillars are weakening today, Lagarde said.

Last year alone, she said, more than 2,500 trade restrictions were implemented globally.

Shortly after his return to the White House, President Donald Trump unveiled a raft of targeted tariffs, including a 20% baseline levy on goods imported to the U.S. from the European Union. That tariff rate was later reduced to 15% when the two sides agreed on a trade deal, but uncertainty remains about the stability of that agreement and how imports of certain European goods, such as steel, will be taxed by Washington.

Integrating artificial intelligence into the European economy requires the urgent removal of bureaucratic and financial hurdles to avoid falling structurally behind the United States and China in technology. This assessment was presented by Christine Lagarde, President of the European Central Bank, during a meeting of the International Business Council at the World Economic Forum in Geneva. The head of the monetary authority stated that the European Union cannot afford to miss out on the second digital wave.

Her remarks coincided with a period of downward pressure on European stock markets, with the Stoxx Europe 600 index falling to two-week lows amid rising oil prices and increasing government bond yields. This financial climate underscores the urgent need for productivity gains within the bloc.

The risk of repeating the continent's technological lag...The European Union risks losing structural competitiveness if it fails to address the shortcomings observed during the first wave of information technology. Christine Lagarde noted that the commercial gains from the previous digital revolution were disproportionately captured outside the bloc. The post-war model—built on open trade, industrial goods powered by cheap energy, and geopolitical stability—has lost its effectiveness in the face of new international tensions.

Data presented by the ECB reveal that over 2,500 trade restrictions came into effect globally last year. Meanwhile, Chinese industry competes directly with 40% of the sectors in which Europe holds a comparative advantage—up from 25% at the turn of the century. Electricity costs for energy-intensive European industries remain double those in the United States and 50% higher than in China.

European tech companies in the expansion phase raise only half the capital secured by their North American counterparts and face significant barriers to growth. European Union companies raise 50% less capital than their San Francisco-based counterparts by their tenth year of operation. This funding gap leads 12% of European growth-stage companies to relocate to jurisdictions outside the continent, with the United States being the primary destination.

Financial market fragmentation prevents European private savings from funding large-scale technology projects within the continent. To stem the loss of intellectual property and talent, the ECB presidency has advocated for an "EU Inc." legal entity, which would allow for a single corporate registration across the European Union. The measure aims to create the conditions for companies to be founded and scale up within the European space.

Regulatory fragmentation among the 27 Member States stifles the spillover effects of private investment and restricts technology diffusion. An ECB study indicates that a 1-percentage-point increase in the number of domestic competitors investing in digital technology drives a 0.6-percentage-point increase in a firm's own investment. However, these competitive pressures hit national borders and do not propagate to the rest of the European market.

The European Central Bank’s SAFE survey indicates that euro area companies plan to allocate an average of 9% of their total investment to artificial intelligence within the European economy by 2026. Adoption rates are accelerating, though they remain constrained by energy costs and a shortage of technical talent. The bloc's economic activity recorded 0.4% quarterly growth in the second quarter of 2026, supported by domestic demand and employment.

The political timeline for capital integration...Realizing the Capital Markets Union by the end of 2026 is the decisive step toward retaining high-value investments on the continent. The full deployment of artificial intelligence across the European economy and Single Market requires eliminating stock market fragmentation and fostering banking consolidation among Member States. Christine Lagarde summarized the policy priority for business leaders in Geneva:

“Europe cannot afford to repeat that experience with artificial intelligence—the second digital revolution. We must create the conditions for technology to thrive here and for European companies to grow here.”

The ability to sustain the European Union’s long-term competitiveness depends on the speed at which these structural reforms are adopted. Aligning EU financial policies and simplifying corporate frameworks will determine the role of artificial intelligence in the European economy as a source of wealth and industrial sovereignty.

mundophone

Tuesday, August 18, 2026


TECH


Fairphone 6 turns into a Linux phone running Fedora 44 with working cameras

A developer has managed to boot Fedora 44 on the Fairphone 6, bringing a desktop-oriented Linux distribution to a smartphone already available with Android-based /e/OS. The latest demonstration confirms all three cameras are fully operational.

The main upgrades to the Fairphone 6 Plus are internal: the phone now features 12 GB of RAM—a 50% increase over the base model's 8 GB—and is equipped with the Snapdragon 7s Gen 4 processor, which is slightly more powerful than the 7s Gen 3 found in its standard sibling.

Additionally, the lineup has gained a new color option, Cobalt Blue (dark blue), joining the existing Forest Green (dark green) and Horizon Black (black); the Cloud White option appears to be exclusive to the standard Fairphone 6.

The rest of the specifications remain unchanged, maintaining a robust configuration for a premium mid-range smartphone. The device features a 6.31-inch LTPO OLED display with a resolution of 2484 x 1116 pixels, a refresh rate of up to 120 Hz, and Gorilla Glass 7i protection, along with a 4,415 mAh battery supporting 30W fast charging.

The camera setup includes a 50 MP Sony LYTIA 700C main sensor with optical image stabilization, accompanied by a 13 MP ultrawide lens and a 32 MP front-facing camera. On the software front, the phone ships with Android 16, an upgrade from the Android 15 found on the older model.

The manufacturer's commitment to longevity is a key strength: six major operating system updates are guaranteed, along with ongoing security patches extending until 2032 or 2033—the website mentions both dates, making the exact cutoff unclear, though both timeframes are impressive.

Getting desktop-class Linux to run on mobile hardware is notoriously difficult, but developer Nick on X has managed to pull it off on the modular Fairphone 6, giving us our first look at Fedora 44 running on an Android device. 

In a hands-on video, the phone is shown running a touch-friendly GNOME interface running smoothly, without any noticeable lag. Scrolling through the Settings pane displays options for wi-fi, network, multitasking, appearance and even sections for mouse & touchpad, keyboard, color management, printers etc. just like you would see on a desktop. Swiping down from the top bar smoothly pulls up the calendar widget alongside the quick-settings shade, where toggles for Wi-Fi, Night Light, Dark Style, Tiling, and display brightness are all fully interactive. Heading into the system's "About" page verifies the build as Fedora Linux 44 (Forty Four) under the host name fedora, with the system accurately detecting 7.1 GB of RAM and 251.5GB of internal storage.

Because it is an early port, there are still a few issues. As shown at the end of the video, tapping the Trash icon on the bottom dock brings up an error message saying "Failed to launch 'Trash': Failed to find default application for content type 'inode/directory', which simply shows that default file manager shortcuts aren't properly linked yet.

A follow-up demo shows the camera app opening smoothly and switching seamlessly between the main, ultra-wide, and front lenses without a single crash.

The Fairphone 6+ recently made its global debut alongside an official launch in the US. It retains almost the same hardware and design as the standard Fairphone 6, differing only under the hood with an upgraded Snapdragon 7s Gen 4 processor and 12GB of RAM compared to the regular Fairphone 6 which features Snapdragon 7s Gen 3 and 8GB RAM configuration.

mundophone



TECH




When zombie credit cards attack: UMass researchers discover loophole that can ranimate expired cards

A new security loophole can bring some expired credit cards back to life, researchers from the University of Massachusetts Amherst have discovered. If stolen, these “zombie credit cards” could leave cardholders vulnerable to fraudulent charges, according to the new study, presented at the conference USENIX Security 2026.
The researchers discovered that thieves “can still use the victim’s expired credit card, despite the victim receiving another card,” says Taqi Raza, assistant professor in the Riccio College of Engineering at UMass Amherst.

This loophole exists because credit card accounts do not expire with the physical card. For instance, if you make a return, your account will be refunded, even if the purchasing credit card has expired. But this made Raza wonder: “If the card can get a refund, can the card make a payment?”

For some credit cards, the answer is yes. Raza and his research team devised a system using two, off-the-shelf smartphones and basic emulator software to fool an in-store card reader, also known as a point-of-sale (POS) terminal, into thinking a card was active.

Using the same technology that enables tap-to-pay transactions (near-field communications, or NFC), the first phone is used to activate the credit card. It tells the card: a purchase is trying to be made, so send over the cardholder data and payment application. This includes the past-due expiration date.
However, using a “man-in-the-middle” Wi-Fi-based relay system, the second phone takes the credit card information but rewrites the expiration date. Raja Hasnain Anwar, the lead author of the study and doctoral candidate with the Khwarizmi Lab at UMass Amherst, notes that this attack is particularly dangerous because thieves do not need to determine the actual expiration date of a replacement card; any arbitrary expiration date in the future is sufficient to successfully make a charge.

“The expiration date printed and stored on the card is the only way for the POS to know whether the card is active or expired,” he says. “Yet it is not cryptographically protected. So we can easily modify it to fool the POS.”

This second phone is then tapped to the card reader. To an outside observer, the behavior would look the same as using any kind of digital wallet.

“Now, you’re expecting the bank should notice it,” says Raza. But not all banks verify the terminal-read expiration date against authenticated data. If other security measures are not in place to recheck card lifecycle status, the fraudulent transaction will be successful.
''The expiration date printed and stored on the card is the only way for the POS to know whether the card is active or expired, yet it is not cryptographically protected. So we can easily modify it to fool the POS''... Raja Hasnain Anwar, doctoral candidate with the Khwarizmi Lab at UMass Amherst and lead author of the new study.

Image
The loophole that enables an expired credit card to be revived is based on a relay system using software that can be run on two standard smartphones and the physical card. The researchers found it worked across a variety of point-of-sale terminals.
The loophole that enables an expired credit card to be revived is based on a relay system using software that can be run on two standard smartphones and the physical card. The researchers found it worked across a variety of point-of-sale terminals(image above)

In fact, credit cards have another expiration date in addition to the one printed on your card: a date embedded in the security key that encrypts the transaction between the card and the bank, referred to as a digital certificate. This digital certificate is checked first, enabling the card to “talk” to the POS.

“What we found is that the expiry date for the digital certificate for the security key is longer than the expiry date of return on the card,” says Raza, making this date an ineffective check of the card’s actual expiration status.

The researchers demonstrated that this loophole works both in the lab and in the wild—at local dining facilities and grocery stores. However, not all credit cards were equally impacted by this loophole and digital wallets included additional security measures making them more resilient against this particular kind of attack. However, separate research from Raza’s lab has found digital wallets are susceptible to other types of exploitation.

The root cause of such issues lies in how payment cards and systems have evolved over time. As we move to smarter but distributed systems, decisions are divided between the card chip, POS terminal, payment networks (e.g., VISA, Mastercard), and the bank. Discrepancies often arise, such as the ability to fool a terminal with a limited view of card expiration when the bank relies on that terminal’s verification. “With the rise of AI, it is becoming increasingly easy for attackers to spot these discrepancies and devise exploits, effectively putting millions of credit cards at risk,” says Anwar.

While the major card companies have been notified of their discovery, Raza says consumers should still abide by safe credit card practices.

“The attack exploits a documented misconception—expired cards are widely assumed inert, so cardholders discard them carelessly,” says Raza. “Always discard your expired card, no matter what. Even if you permanently close your credit card, still monitor the transaction on the closed account.”

Start by demagnetizing the card by slowly running a magnet along the magnetic strip. Next, destroy the embedded chip either with a hammer or scissors. Cut apart your card or put it through a paper shredder, ensuring you cut through any raised letters or numbers. Finally, separate the credit card pieces into different trash cans. For metal cards, contact your company’s customer service department. Fraudulent charges should be immediately reported to your bank.


TECH Pew Research Center : AI-generated content on the web exceeds 35% of recent pages The presence of AI-generated content on the web surpa...