Shopify is launching stablecoin payments for its merchants later this year, starting with USDC in collaboration with Coinbase and Stripe. Fortune reports: The publicly traded tech company lets merchants -- including vintage clothes sellers, cosmetics businesses, and electronics companies -- set up their own online marketplaces. By late June, Shopify will let a select group of users accept payments in USDC, a stablecoin issued by the crypto company Circle, which recently had one of the year's hottest IPOs. "In our own philosophical framework, we are extremely aligned with everything that crypto stands for," Tobias Lutke, the CEO of Shopify and a Coinbase board member, said onstage at a Coinbase conference on Thursday.

Shopify will then gradually expand access to merchants across its network in the U.S. and Europe before opening up stablecoin payments to every merchant who uses its platform. The e-commerce company worked with Coinbase to develop a payments protocol to handle chargebacks, refunds, and other intricacies of retail payments on Coinbase's blockchain, Base. It also collaborated with fintech giant Stripe, one of Shopify's payments processors, to integrate stablecoins into the e-commerce company's existing software stack. "I think other payment processors will look at what Shopify is building and be like, 'Holy crap,'" Jesse Pollak, a Coinbase executive who oversees the crypto exchange's wallet and blockchain divisions, told Fortune.

The PCI-SIG, which oversees the development of the PCIe specification, has officially released the final spec for PCI Express 7.0. "The PCIe 7.0 specification increases the per-lane data transfer rate to 128 GT/s in each direction, which is twice as fast as PCIe 6.0 supports and four times faster than PCIe 5.0," reports Tom's Hardware. "Such a significant performance increase enables devices with 16 PCIe 7.0 lanes to transfer up to 256 GB/s in each direction, not accounting for protocol overhead. The new version of the interface continues to use PAM4 signaling while maintaining the 1b/1b FLIT encoding method first introduced in PCIe 6.0." From the report: To achieve PCIe 7.0's 128 GT/s record data transfer rate, developers of PCIe 7.0 had to increase the physical signaling rate to 32 GHz or beyond. Keep in mind that both PCIe 5.0 and 6.0 use a physical signaling rate of 16 GHz to enable 32 GT/s using NRZ signaling and 64 GT/s using PAM4 signaling (which allows transfers of two bits per symbol). With PCIe 7.0, developers had to boost the physical frequency for the first time since 2017, which required tremendous work at various levels, as maintaining signal integrity at 32 GHz over long distances using copper wires is extremely challenging.

Beyond raw throughput, the update also offers improved power efficiency and stronger support for longer or more complex electrical channels, particularly when using a cabling solution, to cater to the needs of next-generation data center-grade bandwidth-hungry applications, such as 800G Ethernet, Ultra Ethernet, and quantum computing, among others. [...] With the PCIe 7.0 standard officially released, members of the PCI-SIG, including AMD, Intel, and Nvidia, can begin finalizing the development of their platforms that support the PCIe specifications. PCI-SIG plans to start preliminary compliance tests in 2027, with official interoperability tests scheduled for 2028. Therefore, expect actual PCIe 7.0 devices and platforms on the market sometime in 2028 - 2029, if everything goes as planned. PCI-SIG also announced that pathfinding for PCIe 8.0 is underway, and members of the organization are actively exploring possibilities and defining capabilities of a standard that they are going to use in 2030 and beyond.

"Interestingly, when asked whether PCIe 8.0 would double data transfer rate to 256 GT/s in each direction (and therefore enable bandwidth of 1 TB/s in both directions using 16 lanes), Al Yanes, president of PCI-SIG, said that while this is an intention, he would not like to make any definitive claims," reports Tom's Hardware. "Additionally, he stated that PCI-SIG is looking forward to enabling PCIe 8.0, which will offer higher performance over copper wires in addition to optical interconnects."

More than a dozen private browsing apps on Apple and Google's app stores have undisclosed ties to Chinese companies, leaving user data at risk of exposure to the Chinese government, according to a new report from the Tech Transparency Project. From a report: Thirteen virtual private network (VPN) apps on Apple's App Store and 11 apps on Google's Play Store have ties to Chinese companies, the tech watchdog group said in the report released Thursday.

Chinese law requires Chinese companies to share data with the government upon request, creating privacy and security risks for American users. Several of the apps, including two on both app stores and two others on Google Play Store, have ties to Chinese cybersecurity firm Qihoo 360, which has been sanctioned by the U.S. government, according to the report. The Tech Transparency Project previously identified more than 20 VPN apps on Appleâ(TM)s App Store with Chinese ties in an April report. The iPhone maker has since removed three apps linked to Qihoo 360.

HP has unveiled the first commercial hardware for Google Beam, the Android-maker's 3D video conferencing technology formerly known as Project Starline, with a price tag of $24,999. The HP Dimension features a 65-inch light field display paired with six high-speed cameras positioned around the screen to capture speakers from multiple angles, creating what the companies describe as a lifelike 3D representation without requiring headsets or glasses.

The system processes visual data through Google's proprietary volumetric video model, which merges camera streams into 3D reconstructions with millimeter-scale precision at 60 frames per second. Beyond the hardware cost, users must purchase a separate Google Beam license for cloud processing, though pricing for that service remains undisclosed.

An anonymous reader quotes a report from Reuters: Indirect carbon emissions from the operations of four of the leading AI-focused tech companies rose on average by 150% from 2020-2023, due to the demands of power-hungry data centers, a United Nations report (PDF) said on Thursday. The use of artificial intelligence by Amazon, Microsoft, Alphabet and Meta drove up their global indirect emissions because of the vast amounts of energy required to power data centers, the report by the International Telecommunication Union (ITU), the U.N. agency for digital technologies, said.

Indirect emissions include those generated by purchased electricity, steam, heating and cooling consumed by a company. Amazon's operational carbon emissions grew the most at 182% in 2023 compared to three years before, followed by Microsoft at 155%, Meta at 145% and Alphabet at 138%, according to the report. The ITU tracked the greenhouse gas emissions of 200 leading digital companies between 2020 and 2023. [...] As investment in AI increases, carbon emissions from the top-emitting AI systems are predicted to reach up to 102.6 million tons of carbon dioxide equivalent per year, the report stated.

The data centres that are needed for AI development could also put pressure on existing energy infrastructure. "The rapid growth of artificial intelligence is driving a sharp rise in global electricity demand, with electricity use by data centers increasing four times faster than the overall rise in electricity consumption," the report found. It also highlighted that although a growing number of digital companies had set emissions targets, those ambitions had not yet fully translated into actual reductions of emissions. UPDATE: The headline has been revised to clarify that four leading AI-focused tech companies saw their operational emissions rise to 150% of their 2020 levels by 2023 -- a 50% increase, not a 150% one.

"It is true, Google AI is stomping on the entire internet," writes Slashdot reader TheWho79, sharing a report from the Wall Street Journal. "From HuffPost to the Atlantic, publishers prepare to pivot or shut the doors. ... Even highly regarded old school bullet-proof publications like Washington Post are getting hit hard." From the report: Traffic from organic search to HuffPost's desktop and mobile websites fell by just over half in the past three years, and by nearly that much at the Washington Post, according to digital market data firm Similarweb. Business Insider cut about 21% of its staff last month, a move CEO Barbara Peng said was aimed at helping the publication "endure extreme traffic drops outside of our control." Organic search traffic to its websites declined by 55% between April 2022 and April 2025, according to data from Similarweb.

At a companywide meeting earlier this year, Nicholas Thompson, chief executive of the Atlantic, said the publication should assume traffic from Google would drop toward zero and the company needed to evolve its business model. [...] "Google is shifting from being a search engine to an answer engine," Thompson said in an interview with The Wall Street Journal. "We have to develop new strategies."

The rapid development of click-free answers in search "is a serious threat to journalism that should not be underestimated," said William Lewis, the Washington Post's publisher and chief executive. Lewis is former CEO of the Journal's publisher, Dow Jones. The Washington Post is "moving with urgency" to connect with previously overlooked audiences and pursue new revenue sources and prepare for a "post-search era," he said.

At the New York Times, the share of traffic coming from organic search to the paper's desktop and mobile websites slid to 36.5% in April 2025 from almost 44% three years earlier, according to Similarweb. The Wall Street Journal's traffic from organic search was up in April compared with three years prior, Similarweb data show, though as a share of overall traffic it declined to 24% from 29%. Further reading: Google's AI Mode Is 'the Definition of Theft,' Publishers Say

Apple's latest AI models continue to lag behind competitors, according to the company's own benchmark testing it disclosed this week. The tech giant's newest "Apple On-Device" model, which runs locally on iPhones and other devices, performed only "comparably" to similarly-sized models from Google and Alibaba in human evaluations of text generation quality -- not better, despite being Apple's most recent release.

The performance gap widens with Apple's more powerful "Apple Server" model, designed for data center deployment. Human testers rated it behind OpenAI's year-old GPT-4o in text generation tasks. In image analysis tests, evaluators preferred Meta's Llama 4 Scout model over Apple Server, a particularly notable result given that Llama 4 Scout itself underperforms leading models from Google, Anthropic, and OpenAI on various benchmarks.

Longtime Slashdot reader theodp writes: The old Code.org curriculum page for middle and high school students has been changed to include a new Python Lab in the tech-backed nonprofit's K-12 offerings. Elsewhere on the site, a Computer Science and AI Foundations curriculum is described that includes units on 'Foundations of AI Programming [in Python]' and 'Insights from Data and AI [aka Data Science].' A more-detailed AI Foundations Syllabus 25-26 document promises a second semester of material is coming soon: "This semester offers an innovative approach to teaching programming by integrating learning with and about artificial intelligence (AI). Using Python as the primary language, students build foundational programming skills while leveraging AI tools to enhance computational thinking and problem-solving. The curriculum also introduces students to the basics of creating AI-powered programs, exploring machine learning, and applying data science principles."

Newly-posted videos on Code.org's YouTube channel appear to be intended to support the new Python-based CS & AI course. "Python is extremely versatile," explains a Walmart data scientist to open the video for Data Science: Using Python. "So, first of all, Python is one of the very few languages that can handle numbers very, very well." A researcher at the Univ. of Washington's Institute for Health Metrics and Evaluation (IHME) adds, "Python is the gold standard and what people expect data scientists to know [...] Key to us being able to handle really big data sets is our use of Python and cluster computing." Adding to the Python love, an IHME data analyst explains, "Python is a great choice for large databases because there's a lot of support for Python libraries."

Code.org is currently recruiting teachers to attend its CS and AI Foundations Professional Learning program this summer, which is being taught by Code.org's national network of university and nonprofit regional partners (teachers who signup have a chance to win $250 in DonorsChoose credits for their classrooms). A flyer for a five-day Michigan Professional Development program to prepare teachers for a pilot of the Code.org CS & A course touts the new curriculum as "an alternative to the AP [Computer Science] pathway" (teachers are offered scholarships covering registration, lodging, meals, and workshop materials).

Interestingly, Code.org's embrace of Python and Data Science comes as the nonprofit changes its mission to 'make CS and AI a core part of K-12 education' and launches a new national campaign with tech leaders to make CS and AI a graduation requirement. Prior to AI changing the education conversation, Code.org in 2021 boasted that it had lined up a consortium of tech giants, politicians, and educators to push its new $15 million Amazon-bankrolled Java AP CS A curriculum into K-12 classrooms. Just three years later, however, Amazon CEO Andy Jassy was boasting to investors that Amazon had turned to AI to automatically do Java coding that he claimed would have otherwise taken human coders 4,500 developer-years to complete.

Meta is preparing to unveil a new AI research lab dedicated to pursuing "superintelligence," a hypothetical A.I. system that exceeds the powers of the human brain, as the tech giant jockeys to stay competitive in the technology race, New York Times reported Tuesday, citing four people with the knowledge of the company's plans. From the report: Meta has tapped Alexandr Wang, 28, the founder and chief executive of the A.I. start-up Scale AI, to join the new lab, the people said, and has been in talks to invest billions of dollars in his company as part of a deal that would also bring other Scale employees to the company.

Meta has offered seven- to nine-figure compensation packages to dozens of researchers from leading A.I. companies such as OpenAI and Google, with some agreeing to join, according to the people. The new lab is part of a larger reorganization of Meta's A.I. efforts, the people said. The company, which owns Facebook, Instagram and WhatsApp, has recently grappled with internal management struggles over the technology, as well as employee churn and several product releases that fell flat, two of the people said.

Blue Origin is falling far short of its goal to launch the New Glenn rocket eight times in 2025, with its second flight now delayed until at least mid-August. Key leadership changes were also announced, including the departure of the New Glenn program head, as the company faces pressure to increase launch cadence and compete with SpaceX for federal contracts and Amazon's Project Kuiper deployments. Ars Technica reports: The mission, with an undesignated payload, will be named "Never Tell Me the Odds," due to the attempt to land the booster. "One of our key mission objectives will be to land and recover the booster," [chief executive of Blue Origin, Dave Limp] wrote. "This will take a little bit of luck and a lot of excellent execution. We're on track to produce eight GS2s this year, and the one we'll fly on this second mission was hot-fired in April."

In this comment, GS2 stands for "Glenn stage 2," or the second stage of the large rocket. It is telling that Limp commented on the company tracking toward producing eight second stages, which would match the original launch cadence planned for this year. This likely is a fig leaf offered to Bezos, who, two sources said, was rather upset that Blue Origin would not meet (or even approach) its original target of eight launches this year. One person familiar with the progress on the vehicle told Ars that even a launch date in August is unrealistic -- this too may have been set aggressively to appease Bezos -- and that September is probably the earliest the rocket is likely to be ready for launch. Blue Origin has not publicly stated what the payload will be, but this second flight is expected to carry the ESCAPADE mission for NASA.

On May 28, a couple of days after Limp's all-hands meeting, the chief executive emailed his entire team to announce an "organizational update." As part of this, the company's senior vice president of engines, Linda Cova, was retiring. Multiple sources confirmed this retiring was expected and that the company's program to produce BE-4 rocket engines is going well. However, the other name in the email raised some eyebrows, coming so soon after the announcement that New Glenn's cadence would be significantly slower than expected. Jarrett Jones, the senior vice president running the New Glenn program, was said to be "stepping away from his role and taking a well deserved year off" starting on August 15. It is unclear whether this departure was linked to Bezos' displeasure with the rocket program. One company official said Jones' sabbatical had been planned, but the timing is curious. A search for internal and external candidates to fill his role is ongoing.

An anonymous reader quotes a report from Tom's Hardware: The head of the Federal Aviation Administration just outlined an ambitious goal to upgrade the U.S.'s air traffic control (ATC) system and bring it into the 21st century. According to NPR, most ATC towers and other facilities today feel like they're stuck in the 20th century, with controllers using paper strips and floppy disks to transfer data, while their computers run Windows 95. While this likely saved them from the disastrous CrowdStrike outage that had a massive global impact, their age is a major risk to the nation's critical infrastructure, with the FAA itself saying that the current state of its hardware is unsustainable.

"The whole idea is to replace the system. No more floppy disks or paper strips," acting FAA administrator Chris Rocheleau told the House Appropriations Committee last Wednesday. Transportation Secretary Sean Duffy also said earlier this week," This is the most important infrastructure project that we've had in this country for decades. Everyone agrees -- this is non-partisan. Everyone knows we have to do it." The aviation industry put up a coalition pushing for ATC modernization called Modern Skies, and it even ran an ad telling us that ATC is still using floppy disks and several older technologies to keep our skies safe. [...]

Currently, the White House hasn't said what this update will cost. The FAA has already put out a Request For Information to gather data from companies willing to take on the challenge of upgrading the entire system. It also announced several 'Industry Days' so companies can pitch their tech and ideas to the Transportation Department. Duffy said that the Transportation Department aims to complete the project within four years. However, industry experts say this timeline is unrealistic. No matter how long it takes, it's high time that the FAA upgrades the U.S.'s ATC system today after decades of neglect.

According to Bloomberg, several major Chinese AI companies, including Alibaba, ByteDance, and Tencent, have temporarily disabled certain chatbot features during the gaokao college entrance exams to prevent cheating. "Popular AI apps, including Alibaba's Qwen and ByteDance's Doubao, have stopped picture recognition features from responding to questions about test papers, while Tencent's Yuanbao, Moonshot's Kimi have suspended photo-recognition services entirely during exam hours," adds The Verge. From the report: The rigorous multi-day "gaokao" exams are sat by more than 13.3 million Chinese students between June 7-10th, each fighting to secure one of the limited spots at universities across the country. Students are already banned from using devices like phones and laptops during the hours-long tests, so the disabling of AI chatbots serves as an additional safety net to prevent cheating during exam season.

When asked to explain the suspension, Bloomberg reports the Yuanbao and Kimi chatbots responded that functions had been disabled "to ensure the fairness of the college entrance examinations." Similarly, the DeepSeek AI tool that went viral earlier this year is also blocking its service during specific hours "to ensure fairness in the college entrance examination,"according to The Guardian. The Guardian notes that the news is being driven by students on the Chinese social media platform Weibo. "The gaokao entrance exam incites fierce competition as it's the only means to secure a college placement in China, driving concerns that students may try to improve their chances with AI tools," notes The Verge.

The Atlantic makes that case that "the foundation of the AI industry is a scam" and that AI "is not what its developers are selling it as: a new class of thinking — and, soon, feeling — machines." [OpenAI CEO Sam] Altman brags about ChatGPT-4.5's improved "emotional intelligence," which he says makes users feel like they're "talking to a thoughtful person." Dario Amodei, the CEO of the AI company Anthropic, argued last year that the next generation of artificial intelligence will be "smarter than a Nobel Prize winner." Demis Hassabis, the CEO of Google's DeepMind, said the goal is to create "models that are able to understand the world around us." These statements betray a conceptual error: Large language models do not, cannot, and will not "understand" anything at all. They are not emotionally intelligent or smart in any meaningful or recognizably human sense of the word. LLMs are impressive probability gadgets that have been fed nearly the entire internet, and produce writing not by thinking but by making statistically informed guesses about which lexical item is likely to follow another.
A sociologist and linguist even teamed up for a new book called The AI Con: How to Fight Big Tech's Hype and Create the Future We Want, the article points out: The authors observe that large language models take advantage of the brain's tendency to associate language with thinking: "We encounter text that looks just like something a person might have said and reflexively interpret it, through our usual process of imagining a mind behind the text. But there is no mind there, and we need to be conscientious to let go of that imaginary mind we have constructed."

Several other AI-related social problems, also springing from human misunderstanding of the technology, are looming. The uses of AI that Silicon Valley seems most eager to promote center on replacing human relationships with digital proxies. Consider the ever-expanding universe of AI therapists and AI-therapy adherents, who declare that "ChatGPT is my therapist — it's more qualified than any human could be." Witness, too, how seamlessly Mark Zuckerberg went from selling the idea that Facebook would lead to a flourishing of human friendship to, now, selling the notion that Meta will provide you with AI friends to replace the human pals you have lost in our alienated social-media age....

The good news is that nothing about this is inevitable: According to a study released in April by the Pew Research Center, although 56 percent of "AI experts" think artificial intelligence will make the United States better, only 17 percent of American adults think so. If many Americans don't quite understand how artificial "intelligence" works, they also certainly don't trust it. This suspicion, no doubt provoked by recent examples of Silicon Valley con artistry, is something to build on.... If people understand what large language models are and are not; what they can and cannot do; what work, interactions, and parts of life they should — and should not — replace, they may be spared its worst consequences.

Last month, Duolingo CEO Luis von Ahn "shared on LinkedIn an email he had sent to all staff announcing Duolingo was going 'AI-first'," remembers the Financial Times.

"I did not expect the amount of blowback," he admits.... He attributes this anger to a general "anxiety" about technology replacing jobs. "I should have been more clear to the external world," he reflects on a video call from his office in Pittsburgh. "Every tech company is doing similar things [but] we were open about it...."

Since the furore, von Ahn has reassured customers that AI is not going to replace the company's workforce. There will be a "very small number of hourly contractors who are doing repetitive tasks that we no longer need", he says. "Many of these people are probably going to be offered contractor jobs for other stuff." Duolingo is still recruiting if it is satisfied the role cannot be automated. Graduates who make up half the people it hires every year "come with a different mindset" because they are using AI at university.

The thrust of the AI-first strategy, the 46-year-old says, is overhauling work processes... He wants staff to explore whether their tasks "can be entirely done by AI or with the help of AI. It's just a mind shift that people first try AI. It may be that AI doesn't actually solve the problem you're trying to solve.....that's fine." The aim is to automate repetitive tasks to free up time for more creative or strategic work.

Examples where it is making a difference include technology and illustration. Engineers will spend less time writing code. "Some of it they'll need to but we want it to be mediated by AI," von Ahn says... Similarly, designers will have more of a supervisory role, with AI helping to create artwork that fits Duolingo's "very specific style". "You no longer do the details and are more of a creative director. For the vast majority of jobs, this is what's going to happen...." [S]ocietal implications for AI, such as the ethics of stealing creators' copyright, are "a real concern". "A lot of times you don't even know how [the large language model] was trained. We should be careful." When it comes to artwork, he says Duolingo is "ensuring that the entirety of the model is trained just with our own illustrations".

The New York Times reports: California State University announced this year that it was making ChatGPT available to more than 460,000 students across its 23 campuses to help prepare them for "California's future A.I.-driven economy." Cal State said the effort would help make the school "the nation's first and largest A.I.-empowered university system..." Some faculty members have already built custom chatbots for their students by uploading course materials like their lecture notes, slides, videos and quizzes into ChatGPT.
And other U.S. campuses including the University of Maryland are also "working to make A.I. tools part of students' everyday experiences," according to the article. It's all part of an OpenAI initiative "to overhaul college education — by embedding its artificial intelligence tools in every facet of campus life."

The Times calls it "a national experiment on millions of students." If the company's strategy succeeds, universities would give students A.I. assistants to help guide and tutor them from orientation day through graduation. Professors would provide customized A.I. study bots for each class. Career services would offer recruiter chatbots for students to practice job interviews. And undergrads could turn on a chatbot's voice mode to be quizzed aloud ahead of a test. OpenAI dubs its sales pitch "A.I.-native universities..." To spread chatbots on campuses, OpenAI is selling premium A.I. services to universities for faculty and student use. It is also running marketing campaigns aimed at getting students who have never used chatbots to try ChatGPT...

OpenAI's campus marketing effort comes as unemployment has increased among recent college graduates — particularly in fields like software engineering, where A.I. is now automating some tasks previously done by humans. In hopes of boosting students' career prospects, some universities are racing to provide A.I. tools and training...

[Leah Belsky, OpenAI's vice president of education] said a new "memory" feature, which retains and can refer to previous interactions with a user, would help ChatGPT tailor its responses to students over time and make the A.I. "more valuable as you grow and learn." Privacy experts warn that this kind of tracking feature raises concerns about long-term tech company surveillance. In the same way that many students today convert their school-issued Gmail accounts into personal accounts when they graduate, Ms. Belsky envisions graduating students bringing their A.I. chatbots into their workplaces and using them for life.

"It would be their gateway to learning — and career life thereafter," Ms. Belsky said.

TweakTown writes that the Switch 2 "has reportedly beaten the record for the most-sold console within 24 hours and is on track to shatter the two-month record," selling over 3 million units and tripling the PlayStation 4's previous launch day sales.

So Nintendo's first console in 8 years becomes "one of the most successful hardware releases of all time," writes Barron's, raising hopes for the future: [2017's original Switch] ultimately sold more than 152 million units... Switch 2's big advantage is its backward compatibility, allowing it to play current-generation Switch games and giving gamers solace that their large investments in software are intact... Many older Switch games also play better on the Switch 2, taking advantage of the extra horsepower.
Bloomberg writes that its bigger screen and faster chip "live up to the hype: Despite the hype and a $150 increase over the launch price for the original, the second-generation system manages to impress with faster performance, improved graphics, more comfortable ergonomics and enough tweaks throughout to make this feel like a distinctly new machine... This time, it's capable of outputting 4K resolution and more impactful HDR video to your TV screen... It's a bigger, faster, more polished version of a wildly successful gadget.
The "buzzy launch drew long lines" at retailers like Walmart, Target, Best Buy, and Gamestop, according to the article. (See the photos from AOL.com and USA Today.) "The era of spending hours waiting in line for the latest iPhone is long gone, but the debut of a new video game console is still a rare enough event that Nintendo fans didn't think twice about driving to retailers in the middle of the night to secure a Switch 2."

The Verge also opines that "the Switch 2's eShop is much better," calling it "way faster... with much less lag browsing through sections and loading up game pages."

Or, as Barron's puts it, "Ultimately, Nintendo is winning because it has a different strategy than its competition, the Sony PlayStation and Microsoft Xbox. Instead of trying to appeal to tech snobs like me, who are obsessed with graphics resolution and hardware statistics like teraflops, Nintendo focuses on joy and fun."

Meta's Facebook and Instagram apps "were siphoning people's data through a digital back door for months," writes a Washington Post tech columnist, citing researchers who found no privacy setting could've stopped what Meta and Yandex were doing, since those two companies "circumvented privacy and security protections that Google set up for Android devices.

"But their tactics underscored some privacy vulnerabilities in web browsers or apps. These steps can reduce your risks." Stop using the Chrome browser. Mozilla's Firefox, the Brave browser and DuckDuckGo's browser block many common methods of tracking you from site to site. Chrome, the most popular web browser, does not... For iPhone and Mac folks, Safari also has strong privacy protections. It's not perfect, though. No browser protections are foolproof. The researchers said Firefox on Android devices was partly susceptible to the data harvesting tactics they identified, in addition to Chrome. (DuckDuckGo and Brave largely did block the tactics, the researchers said....)

Delete Meta and Yandex apps on your phone, if you have them. The tactics described by the European researchers showed that Meta and Yandex are unworthy of your trust. (Yandex is not popular in the United States.) It might be wise to delete their apps, which give the companies more latitude to collect information that websites generally cannot easily obtain, including your approximate location, your phone's battery level and what other devices, like an Xbox, are connected to your home WiFi.

Know, too, that even if you don't have Meta apps on your phone, and even if you don't use Facebook or Instagram at all, Meta might still harvest information on your activity across the web.

Apple has urged Australia not to follow the European Union in mandating iPhone app sideloading, warning that such policies pose serious privacy and security risks. "This communication comes as the Australian federal government considers new rules that could force Apple to open up its iOS ecosystem, much like what happened in Europe with recent legislation," notes Neowin. Apple claims that allowing alternative app stores has led to increased exposure to malware, scams, and harmful content. From the report: Apple, in its response to this Australian paper (PDF), stated that Australia should not use the EU's Digital Markets Act "as a blueprint". The company's core argument is that the changes mandated by the EU's DMA, which came into full effect in March 2024, introduce serious security and privacy risks for users. Apple claims that allowing sideloading and alternative app stores effectively opens the door for malware, fraud, scams, and other harmful content. The tech company also highlighted specific concerns from its European experience, alleging that its compliance there has led to users being able to install pornography apps and apps that facilitate copyright infringement, things its curated App Store aims to prevent. Apple maintains that its current review process is vital for user protection, and that its often criticized 30% commission applies mainly to the highest earning apps, with most developers paying a lower 15% rate or nothing.

The Register's Thomas Claburn reports: The Linux Foundation on Friday introduced a new method to distribute WordPress updates and plugins that's not controlled by any one party, in a bid to "stabilize the WordPress ecosystem" after months of infighting. The FAIR Package Manager project is a response to the legal brawl that erupted last year, pitting WordPress co-creator Matthew Mullenweg, his for-profit hosting firm Automattic, and the WordPress Foundation that he controls, against WP Engine, a rival commercial WordPress hosting firm. [...]

The Linux Foundation says the FAIR Package Manager, a mechanism for distributing open-source WordPress plugins, "eliminates reliance on any single source for core updates, plugins, themes, and more, unites a fragmented ecosystem by bringing together plugins from any source, and builds security into the supply chain." In other words, it can't be weaponized against the WordPress community because it won't be controlled by any one entity. "The FAIR Package Manager project paves the way for the stability and growth of open source content management, giving contributors and businesses additional options governed by a neutral community," said Jim Zemlin, Executive Director of the Linux Foundation, in a canned press statement. "We look forward to the growth in community and contributions this important project attracts."

The FAIR Package Manager repo explains the software's purpose more succinctly. The software "is a decentralized alternative to the central WordPress.org plugin and theme ecosystem, designed to return control to WordPress hosts and developers. It operates as a drop-in WordPress plugin, seamlessly replacing existing centralized services with a federated, open-source infrastructure." In addition to providing some measure of stability, the Linux Foundation sees the FAIR Package Manager as advancing WordPress' alignment with Europe's General Data Protection Regulation by reducing automatic browser data transmission and telemetry sent to commercial entities, while also supporting modern security practices and strengthening the open source software supply chain.

An anonymous reader shares a report: There are more than 1,000 technology unicorns, meaning venture-backed companies worth $1 billion or more, but at least one in 5 are likely to fail, said Rich Wong, a partner at venture capital firm Accel Partners. "I think maybe out of that thousand, 20% fully die. The end," Wong said on Thursday at the Bloomberg Tech conference in San Francisco.

The estimate reinforces what's become a grim calculus for many companies. Tech start-up valuations soared during the 2021 pandemic boom -- before crashing back to earth, as interest rates rose and venture capital investments fell. Of the companies that don't fail, about half will be stuck -- muddling along without being able to grow bigger or go public, Wong said. Some of those may "ultimately have reality set in," and sell themselves for lower prices than once seemed feasible. Others, not quite failing, "will be a bit zombie-ish and grind on," he said.