The New York Times lists other reasons a company lays off people. ("It didn't meet financial targets. It overhired. Tariffs, or the loss of a big client, rocked it...") "But lately, many companies are highlighting a new factor: artificial intelligence. Executives, saying they anticipate huge changes from the technology, are making cuts now." A.I. was cited in the announcements of more than 50,000 layoffs in 2025, according to Challenger, Gray & Christmas, a research firm... Investors may applaud such pre-emptive moves. But some skeptics (including media outlets) suggest that corporations are disingenuously blaming A.I. for layoffs, or "A.I.-washing." As the market research firm Forrester put it in a January report: "Many companies announcing A.I.-related layoffs do not have mature, vetted A.I. applications ready to fill those roles, highlighting a trend of 'A.I.-washing' — attributing financially motivated cuts to future A.I. implementation...." "Companies are saying that 'we're anticipating that we're going to introduce A.I. that will take over these jobs.' But it hasn't happened yet. So that's one reason to be skeptical," said Peter Cappelli, a professor at the Wharton School... Of course, A.I. may well end up transforming the job market, in tech and beyond. But a recent study... [by a senior research fellow at the Brookings Institution who studies A.I. and work] found that AI has not yet meaningfully shifted the overall market. Tech firms have cut more than 700,000 employees globally since 2022, according to Layoffs.fyi, which tracks industry job losses. But much of that was a correction for overhiring during the pandemic. As unpopular as A.I. job cuts may be to the public, they may be less controversial than other reasons — like bad company planning. Amazon CEO Jassy has even said the reason for most of their layoffs was reducing bureaucracy, the article points out, although "Most analysts, however, believe Amazon is cutting jobs to clear money for A.I. investments, such as data centers."

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Phoronix reports: Chris Mason, the longtime Linux kernel developer most known for being the creator of Btrfs, has been working on a Git repository with AI review prompts he has been working on for LLM-assisted code review of Linux kernel patches. This initiative has been happening for some weeks now while the latest work was posted today for comments... The Meta engineer has been investing a lot of effort into making this AI/LLM-assisted code review accurate and useful to upstream Linux kernel stakeholders. It's already shown positive results and with the current pace it looks like it could play a helpful part in Linux kernel code review moving forward. "I'm hoping to get some feedback on changes I pushed today that break the review up into individual tasks..." Mason wrote on the Linux kernel mailing list. "Using tasks allows us to break up large diffs into smaller chunks, and review each chunk individually. This ends up using fewer tokens a lot of the time, because we're not sending context back and forth for the entire diff with every turn. It also catches more bugs all around."

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Tim H writes:

Some say that OOP was the greatest mistake of all. I say they weren't trying hard enough.

This code is C++, though Tim submits it as "C with classes." That usually means "we write it as much like C as possible, but use classes to organize our modules." In this case, I think it means "we use classes to punish all who read our code".

Let's look at an example. They've been anonymized, but the shape of the code is there.

class Base { public: enum class Type { derived_1, derived_2 }; Base(Type t) : t_{t} {} Type getType() const { return t_; } private: Type t_; }; class Derived_1 : public Base { public: Derived_1() : Base(Base::Type::derived_1) {} };

This is what one might call "inheritance". You shouldn't, but you might. Here, the base class has an enumerated type which declares the possible child classes, and a field to hold that type. The child classes, then, must set that type when they're constructed.

This is inheritance and polymorphism implemented from first principles, badly. And you can see how badly when it comes time to use the classes:

void Foo(Base *b) { if(b->getType() == Base::Type::derived_1) { // do it } }

That's right, they need to check the type field and branch, instead of leveraging polymorphism at all.

But this isn't the only way they've reinvented inheritance. I mean, why limit yourself to just one wrong way of doing things, when you can use two wrong ways of doing things?

class Derived_1; class Derived_2; class Base { public: Derived_1* getDerived_1() { return dynamic_cast<Derived_1*>(this); } Derived_1& getDerived_1_ref() { return dynamic_cast<Derived_1&>(this); } }; class Derived_1 : public Base {}

Here, the base class implements methods to get instances of child classes, or more accurately, pointers (or references) to instances of the child class… by applying the cast to itself. The base class contains logic which casts it to a child class.

Once again, we've reinvented a kind of inheritance which requires the base class to know about all its derived classes. I believe the intended use here is that you may have a variable of Base* that is pointing to an instance of Derived_1, and you want to cast it to access the derived class. The problem is that it may be a pointer to Derived_2, so what happens when you ask for getDerived_1()? dynamic_cast will check the runtime type information- if you compiled with RTTI enabled. Otherwise you're flirting with nasal goblins.

Tim writes:

These "idioms" are inconsistently used everywhere in the codebase. The member function names really do have the "_ref" for the return-a-ref version.

Now, I know that they are running with RTTI enabled, and thus when they do a bad cast, dynamic_cast will throw a bad_cast exception? How do I know?

Double fun is when users report an unreproducible std::bad_cast.

As Tim points out, they do get bad_cast exceptions. And because this is a pile of bad choices and risky code, they can't trace why it happened or how.

Sometimes, things just blow up.

.comment { border: none; } [Advertisement] Keep the plebs out of prod. Restrict NuGet feed privileges with ProGet. Learn more.

"Technology companies spent part of the 2010s trying to convince us that we would want an 8K display one day..." writes Ars Technica. "However, 8K never proved its necessity or practicality." LG Display is no longer making 8K LCD or OLED panels, FlatpanelsHD reported today... LG Electronics was the first and only company to sell 8K OLED TVs, starting with the 88-inch Z9 in 2019. In 2022, it lowered the price-of-entry for an 8K OLED TV by $7,000 by charging $13,000 for a 76.7-inch TV. FlatpanelsHD cited anonymous sources who said that LG Electronics would no longer restock the 2024 QNED99T, which is the last LCD 8K TV that it released. LG's 8K abandonment follows other brands distancing themselves from 8K. TCL, which released its last 8K TV in 2021, said in 2023 that it wasn't making more 8K TVs due to low demand. Sony discontinued its last 8K TVs in April and is unlikely to return to the market, as it plans to sell the majority ownership of its Bravia TVs to TCL. The tech industry tried to convince people that the 8K living room was coming soon. But since the 2010s, people have mostly adopted 4K. In September 2024, research firm Omdia reported that there were "nearly 1 billion 4K TVs currently in use." In comparison, 1.6 million 8K TVs had been sold since 2015, Paul Gray, Omdia's TV and video technology analyst, said, noting that 8K TV sales peaked in 2022. That helps explain why membership at the 8K Association, launched by stakeholders Samsung, TCL, Hisense, and panel maker AU Optronics in 2019, is dwindling. As of this writing, the group's membership page lists 16 companies, including just two TV manufacturers (Samsung and Panasonic). Membership no longer includes any major TV panel suppliers. At the end of 2022, the 8K Association had 33 members, per an archived version of the nonprofit's online membership page via the Internet Archive's Wayback Machine. "It wasn't hard to predict that 8K TVs wouldn't take off," the article concludes. "In addition to being too expensive for many households, there's been virtually zero native 8K content available to make investing in an 8K display worthwhile..."

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The EU "has switched on parts of its homegrown secure satellite communications network for the first time," reports Bloomberg, calling it part of a €10.6 billion push to "wean itself off US support amid growing tensions." SpaceNews notes the new government program GOVSATCOM pools capacity from eight already on-oribit satellites from France, Spain, Italy, Greece and Luxembourg — both national and commercial. And they cite this prediction by EU Defense and Space Commissioner Andrius Kubilius. The program could expand by 2027. "All member states can now have access to sovereign satellite communications — military and government, secure and resilient, built in Europe, operated in Europe, and under European control," [Kubilius said during his opening remarks at the European Space Conference]... Beginning in 2029, GOVSATCOM is expected to integrate with the 290 satellites in the Infrastructure for Resilience, Interconnectivity and Security by Satellite constellation, known as IRIS2, and be fully operational... "The goal is connectivity and security for all of Europe — guaranteed access for all member states and full European control."

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"Most Go developers are now using AI-powered development tools when seeking information (e.g., learning how to use a module) or toiling (e.g., writing repetitive blocks of similar code)." That's one of the conclusions Google's Go team drew from September's big survey of 5,379 Go developers. But the survey also found that among Go developers using AI-powered tools, "their satisfaction with these tools is middling due, in part, to quality concerns." Our survey suggests bifurcated adoption — while a majority of respondents (53%) said they use such tools daily, there is also a large group (29%) who do not use these at all, or only used them a few times during the past month. We expected this to negatively correlate with age or development experience, but were unable to find strong evidence supporting this theory except for very new developers: respondents with less than one year of professional development experience (not specific to Go) did report more AI use than every other cohort, but this group only represented 2% of survey respondents. At this time, agentic use of AI-powered tools appears nascent among Go developers, with only 17% of respondents saying this is their primary way of using such tools, though a larger group (40%) are occasionally trying agentic modes of operation... We also asked about overall satisfaction with AI-powered development tools. A majority (55%) reported being satisfied, but this was heavily weighted towards the "Somewhat satisfied" category (42%) vs. the "Very satisfied" group (13%)... [D]eveloper sentiment towards them remains much softer than towards more established tooling (among Go developers, at least). What is driving this lower rate of satisfaction? In a word: quality. We asked respondents to tell us something good they've accomplished with these tools, as well as something that didn't work out well. A majority said that creating non-functional code was their primary problem with AI developer tools (53%), with 30% lamenting that even working code was of poor quality. The most frequently cited benefits, conversely, were generating unit tests, writing boilerplate code, enhanced autocompletion, refactoring, and documentation generation. These appear to be cases where code quality is perceived as less critical, tipping the balance in favor of letting AI take the first pass at a task. That said, respondents also told us the AI-generated code in these successful cases still required careful review (and often, corrections), as it can be buggy, insecure, or lack context... [One developer said reviewing AI-generated code was so mentally taxing that it "kills the productivity potential".] Of all the tasks we asked about, "Writing code" was the most bifurcated, with 66% of respondents already or hoping to soon use AI for this, while 1/4 of respondents didn't want AI involved at all. Open-ended responses suggest developers primarily use this for toilsome, repetitive code, and continue to have concerns about the quality of AI-generated code. Most respondents also said they "are not currently building AI-powered features into the Go software they work on (78%)," the surveyors report, "with 2/3 reporting that their software does not use AI functionality at all (66%)." This appears to be a decrease in production-related AI usage year-over-year; in 2024, 59% of respondents were not involved in AI feature work, while 39% indicated some level of involvement. That marks a shift of 14 points away from building AI-powered systems among survey respondents, and may reflect some natural pullback from the early hype around AI-powered applications: it's plausible that lots of folks tried to see what they could do with this technology during its initial rollout, with some proportion deciding against further exploration (at least at this time). Among respondents who are building AI- or LLM-powered functionality, the most common use case was to create summaries of existing content (45%). Overall, however, there was little difference between most uses, with between 28% — 33% of respondents adding AI functionality to support classification, generation, solution identification, chatbots, and software development.

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Talks "are at a standstill" for Anthropic's potential $200 million contract with America's Defense Department, reports Reuters (citing several people familiar with the discussions.") The two issues? - Using AI to surveil Americans - Safeguards against deploying AI autonomously The company's position on how its AI tools can be used has intensified disagreements between it and the Trump administration, the details of which have not been previously reported... Anthropic said its AI is "extensively used for national security missions by the U.S. government and we are in productive discussions with the Department of War about ways to continue that work..." In an essay on his personal blog, Anthropic CEO Dario Amodei warned this week that AI should support national defense "in all ways except those which would make us more like our autocratic adversaries. A person "familiar with the matter" told the Wall Street Journal this could lead to the cancellation of Anthropic's contract: Tensions with the administration began almost immediately after it was awarded, in part because Anthropic's terms and conditions dictate that Claude can't be used for any actions related to domestic surveillance. That limits how many law-enforcement agencies such as Immigration and Customs Enforcement and the Federal Bureau of Investigation could deploy it, people familiar with the matter said. Anthropic's focus on safe applications of AI — and its objection to having its technology used in autonomous lethal operations — have continued to cause problems, they said. Amodei's essay calls for "courage, for enough people to buck the prevailing trends and stand on principle, even in the face of threats to their economic interests and personal safety..."

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The Wall Street Journal says that Meta "might be reaping some of the richest benefits from the AI boom so far." Meta's revenue grew 22% year over year in 2025 to $201 billion, and the company expects even bigger gains in the current quarter, potentially as high as 34%. That is huge growth for a company that brought in nearly $60 billion in the latest three-month period. And Zuckerberg signaled that Meta was just scratching the surface of AI's potential. "Our world-class recommendation systems are already driving meaningful growth across our apps and ads business. But we think that the current systems are primitive compared to what will be possible soon," he said on a call with investors and analysts... [Meta's Chief Financial Officer Susan] Li said the company doubled the number of graphics-processing units that it used to train its ad-ranking model in the fourth quarter and adopted a new learning architecture. Those actions led users to click on ads on Facebook 3.5% more often and to a gain of more than 1% in conversions, meaning purchases, subscriptions or leads, on Instagram, she said. Other AI-related improvements led to a 3% increase in conversions across its family of apps. On the ad-buying side, Meta has also been working toward using AI to automate ad creation for businesses that want to advertise their products or services on Facebook and Instagram. On the call, Li said the combined revenue run rate of video-generation tools hit $10 billion in the fourth quarter. In short, CNBC reported, Meta's stock price surged over 10% this week "after showing signs that AI investments are boosting the bottom line." Benjamin Black, an internet analyst at Deutsche Bank, explained the connection to the Wall Street Journal. "The more compute the ad platform gets, the far better it performs, and that's a real structural advantage that Meta has. If you can see that yesterday's spend is driving this month's growth, then as a good business person, you're going to continue to feed the beast." CNBC says now Meta "plans to spend between $115 billion and $135 billion on its AI build-out this year. That's nearly double what it spent in 2025."

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October saw Bitcoin reach $123,742. But less than four months later, "The world's largest cryptocurrency slipped below $76,000..." Bloomberg reports, "dropping about 40% from its 2025 peak..." "What began as a sharp crash in October has morphed into something more corrosive: a selloff shaped not by panic, but by absence of buyers, momentum and belief." Unlike the October drawdown, there's been no obvious spark, cascading liquidations or systemic shock — just fading demand, thinning liquidity, and a token that's untethered to broader markets. Bitcoin has failed to respond to geopolitical stress, dollar weakness, or risk rallies. Even during gold and silver's violent swings in recent weeks, crypto saw no rotation. Bitcoin fell nearly 11% in January, marking its fourth straight monthly decline — the longest losing streak since 2018, during the crash that followed the 2017 boom in initial coin offerings... Even more striking than the drop itself is the relative lack of optimism around it on social media. In a space known for relentless bravado and "number go up" memes, Bitcoin's slide has been met with little cheerleading or dip-buying fanfare... [Despite legislative wins and some institutional investments] Many investors say that optimism was front-run. Prices rallied early — and then stalled. Meanwhile, spot ETFs continue to bleed, a sign of weakening conviction among mainstream buyers — many of whom are now underwater after buying at higher prices. On Thursday, Bitcoin closed at 88,228. By Sunday it had plunged another 13%, to 76,790...

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Walmart, the world's largest retailer, will be adding spaces for electric vehicle charging to parking lots in 19 different states, reports MLive: The move follows up on a plan announced in 2023 to build a network of charging stations at Walmart and Sam's Club stores throughout the U.S... "With a store or club located within 10 miles of approximately 90% of Americans, we are uniquely positioned to deliver a convenient charging option that will help make EV ownership possible whether people live in rural, suburban or urban areas," wrote Walmart Senior Vice President of Energy Transformation, Vishal Kapadia in 2023. Walmart plans to have the nationwide network operating by 2030. Walmart plans to have the nationwide network operating by 2030. Thanks to long-time Slashdot reader Geoffrey.landis for sharing the news.

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Long-time Slashdot reader destinyland writes: Just months after his 20th birthday, Bill Gates had already angered the programmer community," remembers this 50th-anniversary commemoration of Gates' Open Letter to Hobbyists. "As the first home computers began appearing in the 1970s, the world faced a question: Would its software be free?" Gates railed in 1976 that "Most of you steal your software." Gates had coded the BASIC interpreter for Altair's first home computer with Paul Allen and Monte Davidoff — only to see it pirated by Steve Wozniak's friends at the Homebrew Computing Club. Expecting royalties, a none-too-happy Gates issued his letter in the club's newsletter (as well as Altair's own publication), complaining "I would appreciate letters from any one who wants to pay up." But freedom-loving coders had other ideas. When Steve Wozniak and Steve Jobs released their Apple 1 home computer that summer, they stressed that "our philosophy is to provide software for our machines free or at minimal cost..." And early open-source hackers began writing their own free Tiny Basic interpreters to create a free alternative to the Gates/Micro-Soft code. This led to the first occurrence of the phrase "Copyleft" in October of 1976. Open Source definition author Bruce Perens shares his thoughts today. "When I left Pixar in 2000, I stopped in Steve Job's office — which for some reason was right across the hall from mine... " Perens remembered. "I asked Steve: 'You still don't believe in this Linux stuff, do you...?'" And Perens remembers how that movement finally won over Steve Jobs and carried the day. "Three years later, Steve stood onstage in front of a slide that said 'Open Source: We Think It's Great!' as he introduced the Safari browser, which at that time was based on the browser engine developed by the KDE Open Source project!"

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Vineyard Wind (powering Massachusetts) is one of five offshore wind projects "that the Trump administration tried to hold up in December," reports The Hill. This week it became the fourth of those wind projects allowed by a judge to resume construction, the article notes, while even the fifth project "is still awaiting court proceedings." Federal Judge Brian Murphy, a Biden appointee, issued a preliminary injunction blocking the administration's stop work order against Vineyard Wind... According to its website, when complete, Vineyard Wind would be able generate enough power for 400,000 homes and businesses. The project already has 44 operational wind turbines and was working on an additional 18. The Trump pause applied to the construction work that was not yet complete.

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Researchers at the University of Pennsylvania and University of Michigan "have created the world's smallest fully programmable, autonomous robots," according to a recent announcement. The announcement calls them "microscopic swimming machines that can independently sense and respond to their surroundings, operate for months and cost just a penny each." Barely visible to the naked eye, each robot measures about 200 by 300 by 50 micrometers, smaller than a grain of salt. Operating at the scale of many biological microorganisms, the robots could advance medicine by monitoring the health of individual cells and manufacturing by helping construct microscale devices. Powered by light, the robots carry microscopic computers and can be programmed to move in complex patterns, sense local temperatures and adjust their paths accordingly... "We've made autonomous robots 10,000 times smaller," says Marc Miskin, Assistant Professor in Electrical and Systems Engineering at Penn Engineering and the papers' senior author. "That opens up an entirely new scale for programmable robots." The announcement describes them as "the first truly autonomous, programmable robots at this scale" (as described in two recent academic articles). The team had to design a new propulsion system that utilized the unique locomotion physics in the microscopic realm, according to the university's announcement. So the robots "generate an electrical field that nudges ions in the surrounding solution." Those ions, in turn, push on nearby water molecules, animating the water around the robot's body. "It's as if the robot is in a moving river," says Miskin, "but the robot is also causing the river to move." The robots can adjust the electrical field that causes the effect, allowing them to move in complex patterns and even travel in coordinated groups, much like a school of fish, at speeds of up to one body length per second... To be truly autonomous, a robot needs a computer to make decisions, electronics to sense its surroundings and control its propulsion, and tiny solar panels to power everything, and all that needs to fit on a chip that is a fraction of a millimeter in size. This is where David Blaauw's team at the University of Michigan came into action... The robots are programmed by pulses of light that also power them. Each robot has a unique address that allows the researchers to load different programs on each robot. "This opens up a host of possibilities," adds Blaauw, "with each robot potentially performing a different role in a larger, joint task." Thanks to long-time Slashdot reader fahrbot-bot for sharing the news.

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"A box full of viruses and bacteria has completed its return trip to the International Space Station," reports ScienceAlert, "and the changes these 'bugs' experienced in their travels could help us Earthlings tackle drug-resistant infections..." Scientists aboard the space station incubated different combinations of bacteria and phages for 25 days, while the research team led by biochemist Vatsan Raman carried out the same experiments in Madison, down here on Earth. "Space fundamentally changes how phages and bacteria interact: infection is slowed, and both organisms evolve along a different trajectory than they do on Earth," the researchers explain. In the weightlessness of space, bacteria acquired mutations in genes involved in the microbe's stress response and nutrient management. Their surface proteins also changed. After a slow start, the phages mutated in response, so they could continue binding to their victims. The team found that certain space-specific phage mutations were especially effective at killing Earth-bound bacteria responsible for urinary tract infections (UTIs). More than 90 percent of the bacteria responsible for UTIs are antibiotic-resistant, making phage treatments a promising alternative.

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This year in America, renewables and battery storage "will account for 99.2% of net new capacity — and even higher if small-scale solar were included," reports Electrek, citing EIA data reviewed by the SUN DAY Campaign: EIA's latest monthly "Electric Power Monthly" report (with data through November 30, 2025), once again confirms that solar is the fastest-growing among the major sources of US electricity... [U]tility-scale solar thermal and photovoltaic expanded by 34.5% while that from small-scale systems rose by 11.3% during the first 11 months of 2025 compared to the same period in 2024. The combination of utility-scale and small-scale solar increased by 28.1% and produced a bit under 9.0% (utility-scale: 6.74%; small-scale: 2.13%) of total US electrical generation for January to November, up from 7.1% a year earlier. Wind turbines across the US produced 10.1% of US electricity in the first 11 months of 2025 — an increase of 1.2% compared to the same period in 2024. In November alone, wind-generated electricity was 2.0% greater than a year earlier... The mix of all renewables (wind, solar, hydropower, biomass, and geothermal) produced 8.7% more electricity in January-November than a year earlier and accounted for 25.7% of total US electricity production, up from 24.3% 12 months earlier. Renewables' share of electrical generation is now second to only that of natural gas, whose electrical output actually dropped by 3.7% during the first 11 months of 2025... Since January 1 to November 30, roughly the beginning of the Trump administration, renewable energy capacity, including battery storage, small-scale solar, hydropower, geothermal, and biomass, ballooned by 45,198.1 MW, while all fossil fuels and nuclear power combined declined by 519.2 MW... [In 2026] natural gas capacity will increase by only 3,960.7 MW, which will be almost completely offset by a decrease of 3,387.0 MW in coal capacity.

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This year in America, renewables and battery storage "will account for 99.2% of net new capacity — and even higher if small-scale solar were included," reports Electrek, citing EIA data reviewed by the SUN DAY Campaign: EIA's latest monthly "Electric Power Monthly" report (with data through November 30, 2025), once again confirms that solar is the fastest-growing among the major sources of US electricity... [U]tility-scale solar thermal and photovoltaic expanded by 34.5% while that from small-scale systems rose by 11.3% during the first 11 months of 2025 compared to the same period in 2024. The combination of utility-scale and small-scale solar increased by 28.1% and produced a bit under 9.0% (utility-scale: 6.74%; small-scale: 2.13%) of total US electrical generation for January to November, up from 7.1% a year earlier. Wind turbines across the US produced 10.1% of US electricity in the first 11 months of 2025 — an increase of 1.2% compared to the same period in 2024. In November alone, wind-generated electricity was 2.0% greater than a year earlier... The mix of all renewables (wind, solar, hydropower, biomass, and geothermal) produced 8.7% more electricity in January-November than a year earlier and accounted for 25.7% of total US electricity production, up from 24.3% 12 months earlier. Renewables' share of electrical generation is now second to only that of natural gas, whose electrical output actually dropped by 3.7% during the first 11 months of 2025... Since January 1 to November 30, roughly the beginning of the Trump administration, renewable energy capacity, including battery storage, small-scale solar, hydropower, geothermal, and biomass, ballooned by 45,198.1 MW, while all fossil fuels and nuclear power combined declined by 519.2 MW... [In 2026] natural gas capacity will increase by only 3,960.7 MW, which will be almost completely offset by a decrease of 3,387.0 MW in coal capacity.

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The BBC reports: China has executed 11 members of a notorious mafia family that ran scam centres in Myanmar along its north-eastern border, state media report. The Ming family members were sentenced in September for various crimes including homicide, illegal detention, fraud and operating gambling dens by a court in China's Zhejiang province. The Mings were one of many clans that ran the town of Laukkaing, transforming an impoverished backwater town into a flashy hub of casinos and red-light districts. Their scam empire came crashing down in 2023, when they were detained and handed over to China by ethnic militias that had taken control of Laukkaing during an escalation in their conflict with Myanmar's army. With these executions Beijing is sending a message of deterrence to would-be scammers. But the business has now moved to Myanmar's border with Thailand, and to Cambodia and Laos, where China has much less influence. Hundreds of thousands of people have been trafficked to run online scams in Myanmar and elsewhere in South East Asia, according to estimates by the UN. Among them are thousands of Chinese people, and their victims who they swindle billions of dollars from are mainly Chinese too. Frustrated by the Myanmar military's refusal to stop the scam business, from which it was almost certainly profiting, Beijing tacitly backed an offensive by an ethnic insurgent alliance in Shan State in late 2023. The alliance captured significant territory from the military and overran Laukkaing, a key border town. Thanks to long-time Slashdot reader sinij for sharing the news.

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Five French unions representing Ubisoft workers "have called for a 'massive international strike'," reports the gaming news site Aftermath. The move follows a "series of layoffs and cancellations" at Ubisoft, the article points out, plus what the company calls a "major organizational, operational and portfolio reset" that will lead to more layoffs and cancellations announced last week. Ubisoft CEO Yves Guillemot even sent an end-of-day message warning that management continues to "make difficult decisions, including stopping certain projects" and "potentially closing select studios," an earlier article points out: Slipped in between the grand vision and subtle threats was the reversal of a popular hybrid work-from-home policy that would have a direct impact on everyone working at Ubisoft. Staff would be back in the office five days a week, but with the promise of a generous number of work from home days. "The intention is not to question individual performance, but to regenerate our collective performance, which is one of the key elements in creating the best games with the required speed," Guillemot wrote. There was immediate confusion and frustration. One French union representing Paris Ubisoft developers called for a half-day strike. "It is out of the question to let a boss run wild and destroy our working conditions," Solidaires Informatique wrote in a press release. "Perhaps we need to remind him that it is his employees who make the games...." [The article notes later that "There's concern that these shifts could make it harder for Ubisoft to recruit the talent it needs to improve, or even worse, actively drive away more of the company's existing veterans."] Particularly galling about the new return-to-office policy for some Paris staff was that they had only recently finished negotiating to ensure two days of work-from-home per week. "It's only been six months since the situation was more or less 'back to normal' and now it's shattered to the ground by Yves' sole decision with zero justification, zero documents, zero internal studies proving RTO increases productivity or morale, nothing," one developer told me. The specific details for the rollout of the return-to-office policy have yet to be communicated to everyone, could vary team by team, and might not go into effect for much of the year. The "massive international strike" would take place from February 10-12, Aftermath notes, citing the five French unions representing Ubisoft workers (CFE-CGC, CGT, Printemps Ãcologique, Solidaires Informatique, and STJV): "The announced transformation [at Ubisoft] claims to place games at the heart of its strategy, but without us, these games cannot exist," the unions wrote in a joint release.... We are not fooled: rather than taking financial responsibility for layoffs, they prefer to push us out by making our working conditions unbearable. It's outrageous...." The Ubisoft unions hope that February's strike will be the largest yet, and they're coordinating with unions outside France to present a globally united front against the company. A union representative at Ubisoft Paris even argued to Aftermath that because the CEO "needs to find 200€ million for the coming year, any person who has to quit because of this is a net benefit for him."

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Remember that lawsuit questioning WhatsApp's end-to-end encryption? Thursday Bloomberg reported those allegations had been investigated by special agents with America's Commerce Department, "according to the law enforcement records, as well as a person familiar with the matter and one of the contractors." Similar claims were also the subject of a 2024 whistleblower complaint to the US Securities and Exchange Commission, according to the records and the person, who spoke on the condition that they not be identified out of concern for potential retaliation. The investigation and whistleblower complaint haven't been previously reported... Last year, two people who did content moderation work for WhatsApp told an investigator with Commerce's Bureau of Industry and Security that some staff at Meta have been able to see the content of WhatsApp messages, according to the agent's report summarizing the interviews. [A spokesperson for the Bureau later told Bloomberg that investigator's assertions were "unsubstantiated and outside the scope of his authority as an export enforcement agent."] Those content moderators, who worked for Meta through a contract with the management and technology consulting firm Accenture Plc, also alleged that they and some of their colleagues had broad access to the substance of WhatsApp messages that were supposed to be encrypted and inaccessible, according to the report. "Both sources confirmed that they had employees within their physical work locations who had unfettered access to WhatsApp," wrote the agent... One of the content moderators who told the investigator she had access said she also "spoke with a Facebook team employee and confirmed that they could go back aways into WhatsApp (encrypted) messages, stating that they worked cases that involved criminal actions," according to the document... The investigator's report, dated July 2025, described the investigation as "ongoing," includes a case number and dubs the inquiry "Operation Sourced Encryption..." The inquiry was active as recently as January, according to a person familiar with the matter. The inquiry's current status and who may be the defined target are both unclear. Many investigations end without any formal accusations of wrongdoing... WhatsApp on its website says it does, in some instances, allow information about messages to be seen by the company. If someone reports a user or group for problematic messages, "WhatsApp receives up to five of the last messages they've sent to you" and "the user or group won't be notified," the company says. In those cases, WhatsApp says it receives the "group or user ID, information on when the message was sent, and the type of message sent (image, video, text, etc.)." Former contractors outlined much broader access. Larkin Fordyce was an Accenture contractor who the report says an agent interviewed about content moderation work for Meta. Fordyce told the investigator he spent years doing this work out of an Austin, Texas office starting as early as the end of 2018. He said moderators eventually were granted their own access to WhatsApp, but even before that they could request access to communications and "the Facebook team was able to 'pull whatever they wanted and then send it,'" the report states... The agent also gathered records that were filed in the whistleblower complaint to the SEC, according to his report, which doesn't describe the materials... The status of the whistleblower complaint is unclear. Some key points from the article: "The investigative report seen by Bloomberg doesn't include a technical explanation of the contractors' claims." "A spokesperson for Meta, which acquired WhatsApp in 2014, said the contractors' claims are impossible." One contractor "said that there was little vetting" of foreign nationals hired to do content moderation for Meta, saying this granted them "full access to the same portal to review" content moderation cases

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An anonymous reader shared this report from the Associated Press: American workers adopted artificial intelligence into their work lives at a remarkable pace over the past few years, according to a new poll. Some 12% of employed adults say they use AI daily in their job, according to a Gallup Workforce survey conducted this fall of more than 22,000 U.S. workers. The survey found roughly one-quarter say they use AI at least frequently, which is defined as at least a few times a week, and nearly half say they use it at least a few times a year. That compares with 21% who were using AI at least occasionally in 2023, when Gallup began asking the question, and points to the impact of the widespread commercial boom that ChatGPT sparked for generative AI tools that can write emails and computer code, summarize long documents, create images or help answer questions... While frequent AI use is on the rise with many employees, AI adoption remains higher among those working in technology-related fields. About 6 in 10 technology workers say they use AI frequently, and about 3 in 10 do so daily. The share of Americans working in the technology sector who say they use AI daily or regularly has grown significantly since 2023, but there are indications that AI adoption could be starting to plateau after an explosive increase between 2024 and 2025... A separate Gallup Workforce survey from 2025 found that even as AI use is increasing, few employees said it was "very" or "somewhat" likely that new technology, automation, robots or AI will eliminate their job within the next five years. Half said it was "not at all likely," but that has decreased from about 6 in 10 in 2023. A bar chart lists the sectors most likely to be using AI at their jobs: Technology (77%) Finance (64%) College/University (63%) Professional Services (62%) K-12 Education (56%) Community/Social Services (43%) Government/Public Policy (42%) Manufacturing (41%) Health Care (41%) Retail (33%)

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