Meetings starting after 8 p.m. are up 16% compared to a year ago, and at 10 p.m. almost a third of active workers are still monitoring their inboxes, according to research from Microsoft. Bloomberg: The company's annual work trends study, which is based on aggregated and anonymized data from Microsoft 365 users and a global survey of 31,000 desk workers, also found that almost 20% of employees actively working weekends are checking email before noon on Saturdays and Sundays [non-paywalled source], while over 5% are active on email again on Sunday evenings, gearing up for the start of the work week. [...] Meetings are often spontaneous. Some 57% of the gatherings tallied by Microsoft came together without a calendar invite, and even 10% of scheduled meetings were booked at the last minute. [...] Mass emails, those which loop in more than 20 participants, are on the rise, climbing 7% from last year.

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Veteran columnist Steven J. Vaughan-Nichols declared that Firefox was "dead" to him in a scathing opinion piece Tuesday that cites Mozilla's strategic missteps and the browser's declining technical performance as evidence of terminal decline. Vaughan-Nichols argues that Mozilla has fundamentally betrayed user trust by removing a longstanding promise never to sell personal data from its privacy policy in February, replacing it with a weaker pledge to "protect your personal information." The veteran technology writer also criticized Mozilla's decision to discontinue Pocket, a popular article-saving service, and Fakespot, which identified fake online reviews, while pursuing what he called a misguided AI strategy. He cited user reports of Firefox running up to 30% slower than Chrome, consuming excessive memory, and failing to properly load major websites. Mozilla has also become financially more vulnerable, he argued, noting CFO Eric Muhlheim's admission that the company depends on Google for 90% of its revenue. According to federal data he cited, Firefox holds just 1.9% of the browser market, leading him to conclude the browser is "done."

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An anonymous reader quotes a report from the BBC: Social media and video networks have become the main source of news in the US, overtaking traditional TV channels and news websites, research suggests. More than half (54%) of people get news from networks like Facebook, X and YouTube -- overtaking TV (50%) and news sites and apps (48%), according to the Reuters Institute. "The rise of social media and personality-based news is not unique to the United States, but changes seem to be happening faster -- and with more impact -- than in other countries," a report found. Podcaster Joe Rogan was the most widely-seen personality, with almost a quarter (22%) of the population saying they had come across news or commentary from him in the previous week. The report's author Nic Newman said the rise of social video and personality-driven news "represents another significant challenge for traditional publishers." Other key findings from the report include: - TikTok is the fastest-growing social and video platform, now used for news by 17% globally (up 4% from last year). - AI chatbot use for news is increasing, especially among under-25s, where it's twice as popular as in the general population. - Most people believe AI will reduce transparency, accuracy, and trust in news. - Across all age groups, trusted news brands with proven accuracy remain valued, even if used less frequently.

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alternative_right shares a report from ScienceDaily: When the brain is under pressure, certain neural signals begin to move in sync -- much like a well-rehearsed orchestra. A new study from Johannes Gutenberg University Mainz (JGU) is the first to show how flexibly this neural synchrony adjusts to different situations and that this dynamic coordination is closely linked to cognitive abilities. "Specific signals in the midfrontal brain region are better synchronized in people with higher cognitive ability -- especially during demanding phases of reasoning," explained Professor Anna-Lena Schubert from JGU's Institute of Psychology, lead author of the study recently published in the Journal of Experimental Psychology: General. The researchers focused on the midfrontal area of the brain and the measurable coordination of the so-called theta waves. These brainwaves oscillate between four and eight hertz and belong to the group of slower neural frequencies. "They tend to appear when the brain is particularly challenged such as during focused thinking or when we need to consciously control our behavior," said Schubert, who heads the Analysis and Modeling of Complex Data Lab at JGU. The 148 participants in the study, aged between 18 and 60, first completed tests assessing memory and intelligence before their brain activity was recorded using electroencephalography (EEG). [...] As a result, individuals with higher cognitive abilities showed especially strong synchronization of theta waves during crucial moments, particularly when making decisions. Their brains were better at sustaining purposeful thought when it mattered most. "People with stronger midfrontal theta connectivity are often better at maintaining focus and tuning out distractions, be it that your phone buzzes while you're working or that you intend to read a book in a busy train station," explained Schubert. The findings have been published in the Journal of Experimental Psychology.

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Google Cloud has attributed last week's widespread outage to a flawed code update in its Service Control system that triggered a global crash loop due to missing error handling and lack of feature flag protection. The Register reports: Google's explanation of the incident opens by informing readers that its APIs, and Google Cloud's, are served through our Google API management and control planes." Those two planes are distributed regionally and "are responsible for ensuring each API request that comes in is authorized, has the policy and appropriate checks (like quota) to meet their endpoints." The core binary that is part of this policy check system is known as "Service Control." On May 29, Google added a new feature to Service Control, to enable "additional quota policy checks." "This code change and binary release went through our region by region rollout, but the code path that failed was never exercised during this rollout due to needing a policy change that would trigger the code," Google's incident report explains. The search monopolist appears to have had concerns about this change as it "came with a red-button to turn off that particular policy serving path." But the change "did not have appropriate error handling nor was it feature flag protected. Without the appropriate error handling, the null pointer caused the binary to crash." Google uses feature flags to catch issues in its code. "If this had been flag protected, the issue would have been caught in staging." That unprotected code ran inside Google until June 12th, when the company changed a policy that contained "unintended blank fields." Here's what happened next: "Service Control, then regionally exercised quota checks on policies in each regional datastore. This pulled in blank fields for this respective policy change and exercised the code path that hit the null pointer causing the binaries to go into a crash loop. This occurred globally given each regional deployment." Google's post states that its Site Reliability Engineering team saw and started triaging the incident within two minutes, identified the root cause within 10 minutes, and was able to commence recovery within 40 minutes. But in some larger Google Cloud regions, "as Service Control tasks restarted, it created a herd effect on the underlying infrastructure it depends on ... overloading the infrastructure." Service Control wasn't built to handle this, which is why it took almost three hours to resolve the issue in its larger regions. The teams running Google products that went down due to this mess then had to perform their own recovery chores. Going forward, Google has promised a couple of operational changes to prevent this mistake from happening again: "We will improve our external communications, both automated and human, so our customers get the information they need asap to react to issues, manage their systems and help their customers. We'll ensure our monitoring and communication infrastructure remains operational to serve customers even when Google Cloud and our primary monitoring products are down, ensuring business continuity."

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Intel will lay off 15% to 20% of its factory workforce starting in July, potentially cutting over 10,000 jobs as part of a broader effort to streamline operations amid declining sales and mounting competitive pressure. "These are difficult actions but essential to meet our affordability challenges and current financial position of the company. It drives pain to every individual," Intel manufacturing Vice President Naga Chandrasekaran wrote to employees Saturday. "Removing organizational complexity and empowering our engineers will enable us to better serve the needs of our customers and strengthen our execution. We are making these decisions based on careful consideration of what's needed to position our business for the future." The company reiterated that "we will treat people with care and respect as we complete this important work." Oregon Live reports: Intel announced the pending layoffs in April and notified factory workers last week that the cuts would begin in July. It hadn't previously said just how deep the layoffs will go. The company had 109,000 employees at the end of 2024, but it's not clear how many of those worked in its factory division -- called Intel Foundry. The Foundry business includes a broad array of jobs, from technicians on the factory floor to specialized researchers who work years in advance to develop future generations of microprocessors. Intel is planning major cuts in other parts of its business, too, but employees say the company hasn't specified how many jobs it will eliminate in each business unit. Workers say they believe the impacts will vary within departments. Overall, though, the layoffs will surely eliminate several thousand jobs -- and quite possibly more than 10,000.

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An anonymous reader quotes a report from Ars Technica: Subscribers in Southern California of Spectrum's Internet service experienced outages over the weekend following what company officials said was an attempted theft of copper lines located in Van Nuys, a suburb located 20 miles from downtown Los Angeles. The people behind the incident thought they were targeting copper lines, the officials wrote in a statement Sunday. Instead, they cut into fiber optic cables. The cuts caused service disruptions for subscribers in Van Nuys and surrounding areas. Spectrum has since restored service and is offering a $25,000 reward for information leading to the apprehension of the people responsible. Spectrum will also credit affected customers one day of service on their next bill. "Criminal acts of network vandalism have become an issue affecting the entire telecommunications industry, not just Spectrum, largely due to the increase in the price of precious metals," the officials wrote in a statement issued Sunday. "These acts of vandalism are not only a crime, but also affect our customers, local businesses and potentially emergency services. Spectrum's fiber lines do not include any copper." Outage information service Downdetector showed that thousands of subscribers in and around Van Nuys reported outages starting a little before noon on Sunday. Within about 12 hours, the complaint levels returned to normal. Spectrum officials told the Los Angeles Times that personnel had to splice thousands of fiber lines to restore service to affected subscribers.

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Threads is testing a new feature that lets users hide spoiler content by blurring images or text, which can then be revealed with a tap. The Verge reports: Meta spokesperson Alec Booker told The Verge that this is a "global test," though it's not clear how many people will gain access to it. Spoilers will also look a bit different depending on which device you're using. On desktop, spoilers are hidden by a gray block, but they appear behind a bunch of floating dots on mobile (which you can see in the GIF embedded [here]). "This feature is currently optimized for mobile, but we're working to improve the experience for desktop," Booker said.

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A new Salesforce-led study found that LLM-based AI agents struggle with real-world CRM tasks, achieving only 58% success on simple tasks and dropping to 35% on multi-step ones. They also demonstrated poor confidentiality awareness. "Agents demonstrate low confidentiality awareness, which, while improvable through targeted prompting, often negatively impacts task performance," a paper published at the end of last month said. The Register reports: The Salesforce AI Research team argued that existing benchmarks failed to rigorously measure the capabilities or limitations of AI agents, and largely ignored an assessment of their ability to recognize sensitive information and adhere to appropriate data handling protocols. The research unit's CRMArena-Pro tool is fed a data pipeline of realistic synthetic data to populate a Salesforce organization, which serves as the sandbox environment. The agent takes user queries and decides between an API call or a response to the users to get more clarification or provide answers. "These findings suggest a significant gap between current LLM capabilities and the multifaceted demands of real-world enterprise scenarios," the paper said. [...] AI agents might well be useful, however, organizations should be wary of banking on any benefits before they are proven.

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An anonymous reader quotes a report from TechCrunch: While Silicon Valley executives like those from Palantir, Meta, and OpenAI are grabbing headlines for trading their Brunello Cucinelli vests for Army Reserve uniforms, a quieter transformation has been underway in the U.S. Navy. How so? Well, the Navy's chief technology officer, Justin Fanelli, says he has spent the last two and a half years cutting through the red tape and shrinking the protracted procurement cycles that once made working with the military a nightmare for startups. The efforts represent a less visible but potentially more meaningful remaking that aims to see the government move faster and be smarter about where it's committing dollars. "We're more open for business and partnerships than we've ever been before," Fanelli told TechCrunch in a recent episode of StrictlyVC Download. "We're humble and listening more than before, and we recognize that if an organization shows us how we can do business differently, we want that to be a partnership." Right now, many of these partnerships are being facilitated through what Fanelli calls the Navy's innovation adoption kit, a series of frameworks and tools that aim to bridge the so-called Valley of Death, where promising tech dies on its path from prototype to production. "Your granddaddy's government had a spaghetti chart for how to get in," Fanelli said. "Now it's a funnel, and we are saying, if you can show that you have outsized outcomes, then we want to designate you as an enterprise service." In one recent case, the Navy went from a Request for Proposal (RFP) to pilot deployment in under six months with Via, an eight-year-old, Somerville, Massachusetts-based cybersecurity startup that helps big organizations protect sensitive data and digital identities through, in part, decentralization, meaning the data isn't stored in one central spot that can be hacked. (Another of Via's clients is the U.S. Air Force.) The Navy's new approach operates on what Fanelli calls a "horizon" model, borrowed and adapted from McKinsey's innovation framework. Companies move through three phases: evaluation, structured piloting, and scaling to enterprise services. The key difference from traditional government contracting, Fanelli says, is that the Navy now leads with problems rather than predetermined solutions. "Instead of specifying, 'Hey, we'd like this problem solved in a way that we've always had it,' we just say, 'We have a problem, who wants to solve this, and how will you solve it?'" Fanelli said.

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Thousands of American investors have lost millions of dollars to sophisticated pump-and-dump schemes involving small Chinese companies listed on Nasdaq, prompting the Justice Department to declare the fraud a priority under the Trump administration's white-collar enforcement program. The scams recruit victims through social media ads and WhatsApp messages, directing them to purchase shares in obscure Chinese firms whose stock prices are artificially inflated before collapsing. Since 2020, nearly 60 China-based companies have conducted initial public offerings on Nasdaq raising $15 million or less each, with more than one-third experiencing sudden single-day price drops exceeding 50%. In one recent case, seven traders earned over $480 million by defrauding 600 victims who purchased shares in China Liberal Education Holdings.

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Tensions between OpenAI and Microsoft over the future of their famed AI partnership are flaring up. WSJ, minutes ago: OpenAI wants to loosen Microsoft's grip on its AI products and computing resources, and secure the tech giant's blessing for its conversion into a for-profit company. Microsoft's approval of the conversion is key to OpenAI's ability to raise more money and go public. But the negotiations have been so difficult that in recent weeks, OpenAI's executives have discussed what they view as a nuclear option: accusing Microsoft of anticompetitive behavior during their partnership, people familiar with the matter said. That effort could involve seeking federal regulatory review of the terms of the contract for potential violations of antitrust law, as well as a public campaign, the people said.

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Researchers are cautioning users against clicking unsubscribe links embedded in email bodies, citing new data showing such actions can expose recipients to malicious websites and confirm active email addresses to attackers. DNSFilter found that one in every 644 clicks on unsubscribe links leads users to potentially malicious websites. "You've left the safe, structured environment of your email client and entered the open web," TK Keanini, DNSFilter's chief technology officer, told WSJ. The risks range from confirming to bad actors that an email address belongs to an active user to redirecting victims to fake websites designed to steal login credentials or install malware. Clicking such links "can make you a bigger target in the future," said Michael Bargury, CTO of security company Zenity.

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A Dutch court on Monday confirmed a 2021 consumer watchdog's ruling saying that Apple had abused its dominant position by imposing unfair conditions on providers of dating apps in the App Store. From a report: The Rotterdam District Court ruled that the Dutch Authority for Consumers and Markets (ACM) was therefore right to impose an order subject to a penalty for non-compliance. The court ruled that ACM was right in finding that dating app providers had to use Apple's own payment system, were not allowed to refer to payment options outside the App Store, and had to pay a 30% commission (15% for small providers) to Apple.

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Microsoft has disabled Windows Hello's ability to authenticate users in low-light environments through a recent security update that now requires both infrared sensors and color cameras to verify faces. The change forces the system to see a visible face through the webcam before completing authentication with IR sensors. Windows Hello earlier relied solely on infrared sensors to create 3D facial scans, allowing the feature to work in complete darkness similar to iPhone's Face ID. Microsoft pushed the dual-camera requirement to address a spoofing vulnerability in the biometric system.

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An anonymous reader shares a report: Japan is the latest nation hoping to tempt disgruntled US researchers alarmed by the Trump administration's hostile attitude to academia to relocate to the Land of the Rising Sun. The Japanese government aims to create an elite research environment, and has detailed a $693 million package to attract researchers from abroad, including those from America who may have seen their budgets slashed or who fear a clampdown on their academic freedom.

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Researchers have built a breakthrough random number generator that solves a critical problem: for the first time, every step of creating random numbers can be independently verified and audited, with quantum physics guaranteeing the numbers were truly unpredictable. Random numbers are essential for everything from online banking encryption to fair lottery drawings, but current systems have serious limitations. Computer-based generators follow predictable algorithms -- if someone discovers the starting conditions, they can predict all future outputs. Hardware generators that measure physical processes like electronic noise can't prove their randomness wasn't somehow predetermined or tampered with. The new system, developed by teams at the University of Colorado Boulder and the National Institute of Standards and Technology, uses quantum entanglement -- Einstein's "spooky action at a distance" -- to guarantee unpredictability. The setup creates pairs of photons that share quantum properties, then sends them to measurement stations 110 meters apart. When researchers measure each photon's properties, quantum mechanics ensures the results are fundamentally random and cannot be influenced by any classical communication between the stations. The team created a system called "Twine" that distributes the random number generation process across multiple independent parties, with each step recorded in tamper-proof digital ledgers called hash chains. This means no single organization controls the entire process, and anyone can verify that proper procedures were followed. During a 40-day demonstration, the system successfully generated random numbers in 7,434 of 7,454 attempts -- a 99.7% success rate. Each successful run produced 512 random bits with mathematical certainty of randomness bounded by an error rate of 2^-64, an extraordinarily high level of confidence.

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An anonymous reader shared this report from Bloomberg: Amazon's hard-line stance on getting disabled employees to return to the office has sparked a backlash, with workers alleging the company is violating the Americans with Disabilities Act as well as their rights to collectively bargain. At least two Amazon employees have filed complaints with the Equal Employment Opportunity Commission (EEOC) and the National Labor Relations Board, federal agencies that regulate working conditions. One of the workers said they provided the EEOC with a list of 18 "similarly situated" employees to emphasize that their experience isn't isolated and to help federal regulators with a possible investigation. Disabled workers frustrated with how Amazon is handling their requests for accommodations — including exemptions to a mandate that they report to the office five days a week — are also venting their displeasure on internal chat rooms and have encouraged colleagues to answer surveys about the policies. Amazon has been deleting such posts and warning that they violate rules governing internal communications. One employee said they were terminated and another said they were told to find a different position after advocating for disabled workers on employee message boards. Both filed complaints with the EEOC and NLRB. Amazon has told employees with disabilities they must now submit to a "multilevel leader review," Bloomberg reported in October, "and could be required to return to the office for monthlong trials to determine if accommodations meet their needs." (They received calls from "accommodation consultants" who also reviewed medical documentation, after which "another Amazon manager must sign off. If they don't, the request goes to a third manager...") Bloomberg's new article remembers how several employees told them in November. "that they believed the system was designed to deny work-from-home accommodations and prompt employees with disabilities to quit, which some have done. Amazon denied the system was designed to encourage people to resign." Since then, workers have mobilized against the policy. One employee repeatedly posted an online survey seeking colleagues' reactions, defying the company's demands to stop. The survey ultimately generated feedback from more than 200 workers even though Amazon kept deleting it, and the results reflected strong opposition to Amazon's treatment of disabled workers. More than 71% of disabled Amazon employees surveyed said the company had denied or failed to meet most of their accommodation requests, while half indicated they faced "hostile" work environments after disclosing their disabilities and requesting accommodations. One respondent said they sought permission to work from home after suffering multiple strokes that prevented them from driving. Amazon suggested moving closer to the office and taking mass transit, the person said in the survey. Another respondent said they couldn't drive for longer than 15-minute intervals due to chronic pain. Amazon's recommendation was to pull over and stretch during their commute, which the employee said was unsafe since they drive on a busy freeway... Amazon didn't dispute the accounts and said it considered a range of solutions to disability accommodations, including changes to an employee's commute. Amazon is also "using AI to parse accommodation requests, read doctors' notes and make recommendations based on keywords," according to the article — another policy that's also generated internal opposition (and formed a "key element" of the complaint to the Equal Employment Opportunity Commission). "The dispute could affect thousands of Amazon workers. An internal Slack channel for employees with disabilities has 13,000 members, one of the people said..."

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In Tokyo Mitsubishi is deploying "an innovative new battery swap network for electric cars" in a multi-year test program reports the EV news site Electrek. But it's not just for electric cars. Along with the 14 modular battery swapping stations, Mitsubishi is also deploying "more than 150 battery-swappable commercial electric vehicles" from truck maker Fuso: A truck like the Mitsubishi eCanter typically requires a full night of AC charging to top off its batteries, and at least an hour or two on DC charging in Japan, according to Fuso. This joint pilot by Mitsubishi, Mitsubishi Fuso Trucks, and [EV battery swap specialist] Ample aims to circumvent this issue of forced downtime with its swappable batteries, supporting vehicle uptime by delivering a full charge within minutes. The move is meant to encourage the transport industry's EV shift while creating a depository of stored energy that can be deployed to the grid in the event of a natural disaster — something Mitsubishi in Japan has been working on for years. The article's author also adds their own opinion about battery-swapping technology. "When you see how simple it is to add hundreds of miles of driving in just 100 seconds — quicker, in many cases, than pumping a tank of liquid fuel into an ICE-powered car — you might come around, yourself."

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Timothy B. Lee has written for the Washington Post, Vox.com, and Ars Technica — and now writes a Substack blog called "Understanding AI." This week he visits recent research by computer scientists and legal scholars from Stanford, Cornell, and West Virginia University that found that Llama 3.1 70BÂ(released in July 2024) has memorized 42% of the first Harry Potter book well enough to reproduce 50-token excerpts at least half the time... The paper was published last month by a team of computer scientists and legal scholars from Stanford, Cornell, and West Virginia University. They studied whether five popular open-weight models — three from Meta and one each from Microsoft and EleutherAI — were able to reproduce text from Books3, a collection of books that is widely used to train LLMs. Many of the books are still under copyright... Llama 3.1 70B — a mid-sized model Meta released in July 2024 — is far more likely to reproduce Harry Potter text than any of the other four models.... Interestingly, Llama 1 65B, a similar-sized model released in February 2023, had memorized only 4.4 percent of Harry Potter and the Sorcerer's Stone. This suggests that despite the potential legal liability, Meta did not do much to prevent memorization as it trained Llama 3. At least for this book, the problem got much worse between Llama 1 and Llama 3. Harry Potter and the Sorcerer's Stone was one of dozens of books tested by the researchers. They found that Llama 3.1 70B was far more likely to reproduce popular books — such as The Hobbit and George Orwell's 1984 — than obscure ones. And for most books, Llama 3.1 70B memorized more than any of the other models... For AI industry critics, the big takeaway is that — at least for some models and some books — memorization is not a fringe phenomenon. On the other hand, the study only found significant memorization of a few popular books. For example, the researchers found that Llama 3.1 70B only memorized 0.13 percent of Sandman Slim, a 2009 novel by author Richard Kadrey. That's a tiny fraction of the 42 percent figure for Harry Potter... To certify a class of plaintiffs, a court must find that the plaintiffs are in largely similar legal and factual situations. Divergent results like these could cast doubt on whether it makes sense to lump J.K. Rowling, Richard Kadrey, and thousands of other authors together in a single mass lawsuit. And that could work in Meta's favor, since most authors lack the resources to file individual lawsuits. Why is it happening? "Maybe Meta had trouble finding 15 trillion distinct tokens, so it trained on the Books3 dataset multiple times. Or maybe Meta added third-party sources — such as online Harry Potter fan forums, consumer book reviews, or student book reports — that included quotes from Harry Potter and other popular books..." "Or there could be another explanation entirely. Maybe Meta made subtle changes in its training recipe that accidentally worsened the memorization problem."

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