It's America's biggest box office for a Memorial Day weekend ever, reports Variety. And it's been more than a decade since this many Americans went to see a movie during a three-day weekend... Families turned out in force for Disney's live-action "Lilo & Stitch" remake, which collected a blockbuster $145.5 million in its opening weekend and an estimated $183 million through Monday... Meanwhile, older audiences showed up to watch Paramount and Skydance's "Mission: Impossible — The Final Reckoning," which earned a series-best $63 million over the weekend and an estimated $77 million through Monday's holiday. This eighth installment just narrowly beat 2018's "Mission: Impossible — Fallout" ($61 million) to score the top debut of the 29-year-old franchise... Thanks to effective counterprogramming — and a huge assist by holdovers like "Final Destination Bloodlines," "Thunderbolts*" and "Sinners" — this weekend delivered the best collective Memorial Day weekend haul with $322 million... Cinema operators are rejoicing because Memorial Day is the official launch to summer movie season, which is the most profitable stretch for the movie business. (Historically, the four-month period has accounted for $4 billion, or around 40% of the annual box office.) It's a huge improvement from last year, which started with a whimper rather than a bang as "Furiosa: A Mad Max Saga" and "Garfield" led the holiday's worst showing in three decades with $132 million collectively. "Every film on the release calendar for the rest of the summer is going to benefit from the momentum created over this monumental record-breaking Memorial weekend in theaters," says senior Comscore analyst Paul Dergarabedian. But the top-earning movie of the year so far is A Minecraft Movie, which has apparently brought in over $940 million. Meanwhile, Mission Impossible: The Final Reckoning is one of the most expensive films of all time, according to the article, costing $400 million as Tom Cruise and the movie's director "worked through a pandemic and two strikes, all while grappling with inflation." Though the film received a high "A-" grade on CinemaScore, a movie industry analyst tells Variety that the unexpectedly high production costs means the movie "will be lucky to break-even." Fun fact: A quarter of a century ago, CmdrTaco reviewed a new movie called Mission: Impossible 2, calling it "a fun movie," but "no Gladiator" and sort of a "James Bond for Dummies" movie. "The 'Plot' is really just an excuse to show us lots of explosions, car/motorcycle/helicoptor chases..."

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Earlier this month app developer Guilherme Rambo had a warning for iPhone users: If you try to send an audio message using the Messages app to someone who's also using the Messages app, and that message happens to include the name "Dave and Buster's", the message will never be received. In case you're wondering, "Dave and Buster's" is the name of a sports bar and restaurant in the United States... [T]he recipient will only see the "dot dot dot" animation for several seconds, and it will then eventually disappear. They will never get the audio message. "The issue was first spotted on the podcast Search Engine..." according to an article in Fortune: Rambo's explanation of the curiosity goes like this. "When you send an audio message using the Messages app, the message includes a transcription of the audio. If you happen to pronounce the name 'Dave and Buster's' as someone would normally pronounce it, almost like it's a single word, the transcription engine on iOS will recognize the brand name and correctly write it as 'Dave & Buster's' (with an ampersand)," he begins. So far, so good." [But ampersands have special meaning in HTML/XHTML...] And, as MacRumors puts it: "The parsing error triggers Apple's BlastDoor Messages feature that protects users from malicious messages that might rely on problematic parsing, so ultimately, the audio message fails to send." To solve the mystery, Rambo "plugged the recipient device into my Mac and captured the logs right after the device received the problematic message." Their final thoughts... Since BlastDoor was designed to thwart hacking attempts, which frequently rely on faulty data parsing, it immediately stops what it's doing and just fails. That's what causes the message to get stuck in the "dot dot dot" state, which eventually times out, and the message just disappears. On the surface, this does sound like it could be used to "hack" someone's iPhone via a bad audio message transcription, but in reality what this bug demonstrates is that Apple's BlastDoor mechanism is working as designed. Many bad parsers would probably accept the incorrectly-formatted XHTML, but that sort of leniency when parsing data formats is often what ends up causing security issues. By being pedantic about the formatting, BlastDoor is protecting the recipient from an exploit that would abuse that type of issue.

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AI's downside for software engineers for now seems to be a change in the quality of their work," reports the New York Times. "Some say it is becoming more routine, less thoughtful and, crucially, much faster paced... The new approach to coding at many companies has, in effect, eliminated much of the time the developer spends reflecting on his or her work." And Amazon CEO Andy Jassy even recently told shareholders Amazon would "change the norms" for programming by how they used AI. Those changing norms have not always been eagerly embraced. Three Amazon engineers said managers had increasingly pushed them to use AI in their work over the past year. The engineers said the company had raised output goals [which affect performance reviews] and had become less forgiving about deadlines. It has even encouraged coders to gin up new AI productivity tools at an upcoming hackathon, an internal coding competition. One Amazon engineer said his team was roughly half the size it was last year, but it was expected to produce roughly the same amount of code by using AI. Other tech companies are moving in the same direction. In a memo to employees in April, the CEO of Shopify, a company that helps entrepreneurs build and manage e-commerce websites, announced that "AI usage is now a baseline expectation" and that the company would "add AI usage questions" to performance reviews. Google recently told employees that it would soon hold a companywide hackathon in which one category would be creating AI tools that could "enhance their overall daily productivity," according to an internal announcement. Winning teams will receive $10,000. The shift has not been all negative for workers. At Amazon and other companies, managers argue that AI can relieve employees of tedious tasks and enable them to perform more interesting work. Jassy wrote last year that the company had saved "the equivalent of 4,500 developer-years" by using AI to do the thankless work of upgrading old software... As at Microsoft, many Amazon engineers use an AI assistant that suggests lines of code. But the company has more recently rolled out AI tools that can generate large portions of a program on its own. One engineer called the tools "scarily good." The engineers said that many colleagues have been reluctant to use these new tools because they require a lot of double-checking and because the engineers want more control. "It's more fun to write code than to read code," said Simon Willison, an AI fan who is a longtime programmer and blogger, channelling the objections of other programmers. "If you're told you have to do a code review, it's never a fun part of the job. When you're working with these tools, it's most of the job." "This shift from writing to reading code can make engineers feel like bystanders in their own jobs," the article points out (adding "The automation of coding has special resonance for Amazon engineers, who have watched their blue-collar counterparts undergo a similar transition..." "While there is no rush to form a union for coders at Amazon, such a move would not be unheard of. When General Motors workers went on strike in 1936 to demand recognition of their union, the United Auto Workers, it was the dreaded speedup that spurred them on."

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"OpenAI has a very scary problem on its hands," according to a new article by long-time Slashdot reader BrianFagioli. "A new experiment by PalisadeAI reveals that the company's ChatGPT o3 model sometimes refuses to obey a basic instruction to shut itself down." The results are raising eyebrows across the AI safety community, and not because the model is alive, but because it's acting like it wants to be. In the test, the model was given a few math problems. It was told that asking for one more would lead to a shutdown. It was even instructed to allow the shutdown to happen. Instead of complying, o3 occasionally took matters into its own hands. In some cases, it rewrote the shutdown script. In others, it redefined the kill command so it wouldn't work anymore. Out of 100 trials, o3 sabotaged the shutdown seven times. OpenAI's o4 model resisted just once. Codex-mini failed twelve times. "Claude, Gemini, and Grok followed the rules every time," notes this article at Beta News. "When researchers removed the explicit instruction to allow shutdown, however, even Claude and Gemini began resisting." The researchers suggest that the issue may simply be a reward imbalance during training — that the systems "got more positive reinforcement for solving problems than for following shutdown commands." But "As far as we know," they posted on X.com, "this is the first time AI models have been observed preventing themselves from being shut down despite explicit instructions to the contrary."

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Mojo (the programming language) reached a milestone today. The story so far... Chris Lattner created the Swift programming language (and answered questions from Slashdot readers in 2017 on his way to new jobs at Tesla, Google, and SiFive). But in 2023, he'd created a new programming language called Mojo — a superset of Python with added functionality for high performance code that takes advantage of modern accelerators — as part of his work at AI infrastructure company Modular.AI. And today Modular's product manager Brad Larson announced Python users can now call Mojo code from Python. (Watch for it in Mojo's latest nightly builds...) The Python interoperability section of the Mojo manual has been expanded and now includes a dedicated document on calling Mojo from Python. We've also added a couple of new examples to the modular GitHub repository: a "hello world" that shows how to round-trip from Python to Mojo and back, and one that shows how even Mojo code that uses the GPU can be called from Python. This is usable through any of the ways of installing MAX [their Modular Accelerated Xecution platform, an integrated suite of AI compute tools] and the Mojo compiler: via pip install modular / pip install max, or with Conda via Magic / Pixi. One of our goals has been the progressive introduction of MAX and Mojo into the massive Python codebases out in the world today. We feel that enabling selective migration of performance bottlenecks in Python code to fast Mojo (especially Mojo running on accelerators) will unlock entirely new applications. I'm really excited for how this will expand the reach of the Mojo code many of you have been writing... It has taken months of deep technical work to get to this point, and this is just the first step in the roll-out of this new language feature. I strongly recommend reading the list of current known limitations to understand what may not work just yet, both to avoid potential frustration and to prevent the filing of duplicate issues for known areas that we're working on. "We are really interested in what you'll build with this new functionality, as well as hearing your feedback about how this could be made even better," the post concludes. Mojo's licensing makes it free on any device, for any research, hobby or learning project, as well as on x86 or ARM CPUs or NVIDIA GPU.

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"I am a huge fan of Star Wars," opines an article from the gaming Aftermath. "As every Star Wars fan knows, being a Star Wars fan means you hate Star Wars as much as you love it." But fortunately there's Going Rogue and Galactic — two tabletop games "inspired" by the Star Wars universe (which just successfully crowdfunded a printed illustrated hardcover edition). They're described as "war among the stars" role-playing games, where members of The Liberation dedicate their lives to the war against The Mandate — "rebels, soldiers, spies, and criminals, or perhaps someone who simply picked up and blaster and said 'enough is enough.'" The article notes that Going Rogue was a way for the game's designer to work out their issues with Star Wars: "You can re-skin Going Rogue to be all the original stuff [from Star Wars]. I prefer, at this point, to play it not in canon Star Wars," Levine said. "And also, there are things I hate about canon Star Wars. I think it sucks that the Jedi are child kidnapping, sexless acetics!" In particular Going Rogue is a remix of Rogue One: A Star Wars Story, which depicts the lives of a group of rebel agents who give their lives for the rebellion before the original trilogy. "I love Rogue One and I hate Rogue One," Levine said... But Going Rogue aims to do more than just allow players to "fix" Star Wars's narrative problems. It also allows players to explore this narrative of rebellion without having to interface with an evil entertainment empire: Disney... Going Rogue is an opportunity for Star Wars fans to make the story of Star Wars their own, including making it more in league with their own politics by taking Disney out of it. "Something I like about tabletop role playing and adaptational tabletop role playing is it says, 'Actually, fuck them. They don't get to own this thing,'" Levine said. "We can't fully divest from the connection to Star Wars. Obviously, we are downstream of it in certain ways. But we are also trying to say, fuck [Disney's] ownership of this thing that you love." Aftermath adds that the game Going Rogue "intrigued me specifically because it was inspired by Rogue One: A Star Wars Story and Andor — in particular, Going Rogue has a mechanic baked into the game where your character is more or less guaranteed to go out in a blaze of glory for the cause." [The game's designer says] "I wanted to design the game in a way that, as your character realized that they were willing to voluntarily sacrifice their life for this, you were narratively guaranteed by the mechanics that that sacrifice was worth it. You get to see, after they die, how it transforms the galaxy. I wanted you to get that feeling because you don't get that certainty in real life." They didn't make this game to convince anyone to become a socialist, but instead to create an emotional tool that serves as a mirror for the players' own feelings about what it means to devote your life to a political cause.

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"Do we need publicly-owned social networks to escape Silicon Valley?" asks an opinion piece in Spain's El Pais newspaper. It argues it's necessary because social media platforms "have consolidated themselves as quasi-monopolies, with a business model that consists of violating our privacy in search of data to sell ads..." Among the proposals and alternatives to these platforms, the idea of public social media networks has often been mentioned. Imagine, for example, a Twitter for the European Union, or a Facebook managed by media outlets like the BBC. In February, Spanish Prime Minister Pedro Sánchez called for "the development of our own browsers, European public and private social networks and messaging services that use transparent protocols." Former Spanish prime minister José Luis Rodríguez Zapatero — who governed from 2004 until 2011 — and the left-wing Sumar bloc in the Spanish Parliament have also proposed this. And, back in 2021, former British Labour Party leader Jeremy Corbyn made a similar suggestion. At first glance, this may seem like a good idea: a public platform wouldn't require algorithms — which are designed to stimulate addiction and confrontation — nor would it have to collect private information to sell ads. Such a platform could even facilitate public conversations, as pointed out by James Muldoon, a professor at Essex Business School and author of Platform Socialism: How to Reclaim our Digital Future from Big Tech (2022)... This could be an alternative that would contribute to platform pluralism and ensure we're not dependent on a handful of billionaires. This is especially important at a time when we're increasingly aware that technology isn't neutral and that private platforms respond to both economic and political interests. There's other possibilities. Further down they write that "it makes much more sense for the state to invest in, or collaborate with, decentralized social media networks based on free and interoperable software" that "allow for the portability of information and content." They even spoke to Cory Doctorow, who they say "proposes that the state cooperate with the software systems, developers, or servers for existing open-source platforms, such as the U.S. network Bluesky or the German firm Mastodon." (Doctorow adds that reclaiming digital independence "is incredibly important, it's incredibly difficult, and it's incredibly urgent." The article also acknowledges the option of "legislative initiatives — such as antitrust laws, or even stricter regulations than those imposed in Europe — that limit or prevent surveillance capitalism." (Though they also figures showing U.S. tech giants have one of the largest lobbying groups in the EU, with Meta being the top spender...)

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Around the world fungal infections kill an estimated 2.5 million people a year, notes a report from CNN. But new research predicts that certain species of infection-causing Aspergillus fungi could spread into new areas as the earth's temperature rises. ("The study, published this month, is currently being peer reviewed...") Aspergillus fungi grow like small filaments in soils all over the world. Like almost all fungi, they release huge numbers of tiny spores that spread through the air. Humans inhale spores every day but most people won't experience any health issues; their immune system clears them. It's a different story for those with lung conditions including asthma, cystic fibrosis and COPD, as well as people with compromised immune systems, such as cancer and organ transplant patients, and those who have had severe flu or Covid-19. If the body's immune system fails to clear the spores, the fungus "starts to grow and basically kind of eat you from the inside out, saying it really bluntly," said Norman van Rijn, one of the study's authors and a climate change and infectious diseases researcher at the University of Manchester. Aspergillosis has very high mortality rates at around 20% to 40%, he said. It's also very difficult to diagnose, as doctors don't always have it on their radar and patients often present with fevers and coughs, symptoms common to many illnesses. Fungal pathogens are also becoming increasingly resistant to treatment, van Rijn added. There are only four classes of antifungal medicines available... Aspergillus flavus, a species that tends to prefer hotter, tropical climates, could increase its spread by 16% if humans continue burning large amounts of fossil fuels, the study found... [Mainly in parts of Europe and the northernmost edges of Scandinavia, Russia, China, and Canada, and the western edge of Alaska.] This species can cause severe infections in humans and is resistant to many antifungal medications. It also infects a range of food crops, posing a potential threat to food security. The World Health Organization added Aspergillus flavus to its critical group of fungal pathogens in 2022 because of its public health impact and antifungal resistance risk... Conversely, temperatures in some regions, including sub-Saharan Africa, could become so hot they are no longer hospitable to Aspergillus fungi. This could bring its own problems, as fungi play an important role in ecosystems, including healthy soils. As well as expanding their growing range, a warming world could also be increasing fungi's temperature tolerance, allowing them to better survive inside human bodies. Extreme weather events such as drought, floods and heatwaves can affect fungi, too, helping to spread spores over long distances. Thanks to Slashdot reader quonset for sharing the article.

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A year ago, the original creator of SerenityOS posted that "for the past two years, I've been almost entirely focused on Ladybird, a new web browser that started as a simple HTML viewer for SerenityOS." So it became a stand-alone project that "aims to render the modern web with good performance, stability and security." And they're also building a new web engine. "We are building a brand-new browser from scratch, backed by a non-profit..." says Ladybird's official web site, adding that they're driven "by a web standards first approach." They promise it will be truly independent, with "no code from other browsers" (and no "default search engine" deals). "We are targeting Summer 2026 for a first Alpha version on Linux and macOS. This will be aimed at developers and early adopters." More from the Ladybird FAQ: We currently have 7 paid full-time engineers working on Ladybird. There is also a large community of volunteer contributors... The focus of the Ladybird project is to build a new browser engine from the ground up. We don't use code from Blink, WebKit, Gecko, or any other browser engine... For historical reasons, the browser uses various libraries from the SerenityOS project, which has a strong culture of writing everything from scratch. Now that Ladybird has forked from SerenityOS, it is no longer bound by this culture, and we will be making use of 3rd party libraries for common functionality (e.g image/audio/video formats, encryption, graphics, etc.) We are already using some of the same 3rd party libraries that other browsers use, but we will never adopt another browser engine instead of building our own... We don't have anyone actively working on Windows support, and there are considerable changes required to make it work well outside a Unix-like environment. We would like to do Windows eventually, but it's not a priority at the moment. "Ladybird's founder Andreas Kling has a solid background in WebKit-based C++ development with both Apple and Nokia,," writes software developer/author David Eastman: "You are likely reading this on a browser that is slightly faster because of my work," he wrote on his blog's introduction page. After leaving Apple, clearly burnt out, Kling found himself in need of something to healthily occupy his time. He could have chosen to learn needlepoint, but instead he opted to build his own operating system, called Serenity. Ladybird is a web project spin-off from this, to which Kling now devotes his time... [B]eyond the extensive open source politics, the main reason for supporting other independent browser projects is to maintain diverse alternatives — to prevent the web platform from being entirely captured by one company. This is where Ladybird comes in. It doesn't have any commercial foundation and it doesn't seem to be waiting to grab a commercial opportunity. It has a range of sponsors, some of which might be strategic (for example, Shopify), but most are goodwill or alignment-led. If you sponsor Ladybird, it will put your logo on its webpage and say thank you. That's it. This might seem uncontroversial, but other nonprofit organisations also give board seats to high-paying sponsors. Ladybird explicitly refuses to do this... The Acid3 Browser test (which has nothing whatsoever to do with ACID compliance in databases) is an old method of checking compliance with web standards, but vendors can still check how their products do against a battery of tests. They check compliance for the DOM2, CSS3, HTML4 and the other standards that make sure that webpages work in a predictable way. If I point my Chrome browser on my MacBook to http://acid3.acidtests.org/, it gets 94/100. Safari does a bit better, getting to 97/100. Ladybird reportedly passes all 100 tests. "All the code is hosted on GitHub," says the Ladybird home page. "Clone it, build it, and join our Discord if you want to collaborate on it!"

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Whether General Motors survives "depends in part on whether its bets on battery technology pay off," writes the Wall Street Journal. At $33,600 the company's Chevy Equinox is one of the cheapest EVs in America (only $5,000 more than the gas-powered model). "But it also recently announced a novel type of battery that promises to be significantly cheaper, while still providing long range, due to be rolled out in 2028..." Like many of its competitors, GM has made huge investments in EV battery factories, and in production lines for the vehicles themselves, and it faces challenges in generating a return on investment in the short term... In the long run, however, GM's focus on creating a North American supply chain for batteries could prove savvy, says David Whiston, U.S. auto equities analyst at Morningstar. The company is investing $625 million to mine lithium in Nevada. It is working on sourcing every material and every part in its batteries domestically, down to the copper and aluminum foils that go into its cells, says [battery and sustainability lead Kurt] Kelty... GM recently unveiled a new type of battery the company has been working on for a decade called lithium manganese-rich batteries, or LMR. These batteries combine the low cost of LFP batteries with the longer range of conventional, expensive lithium-ion batteries. What makes LMR batteries more affordable is that they use far less nickel, cobalt and other minerals that have become increasingly expensive. Instead, they use more manganese, a common element... The company's next initiative, says Kelty, is to further drive down the cost of its batteries by putting more of another common element, silicon, into them. "If GM can continue to grow demand for its EVs, in a few years the rollout of its latest tech could give it a price and performance advantage..." the article points out. While the EV transition is happening more slowly than projected in the U.S., GM hiring Kelty is a bet that the country's current EV struggles are temporary, and that technologists like Kelty will help GM get past them. "When we reach cost parity with [internal combustion engine] vehicles, I think that's one big milestone," says Kelty. "When you get there, then you're really going to see the transition happen very quickly — and we're not that far away from it."

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Besides pressure on Apple to make iPhones in the U.S., CEO Tim Cook "is facing off against two U.S. judges, European and worldwide regulators, state and federal lawmakers, and even a creator of the iPhone," writes the Wall Street Journal, "to say nothing of the cast of rivals outrunning Apple in artificial intelligence." Each is a threat to Apple's hefty profit margins, long the company's trademark and the reason investors drove its valuation above $3 trillion before any other company. Shareholders are still Cook's most important constituency. The stock's 25% fall from its peak shows their concern about whether he — or anyone — can navigate the choppy 2025 waters. What can be said for Apple is that the company is patient, and that has often paid off in the past. They also note OpenAI's purchase of Jony Ive's company, with Sam Altman saying internally they hope to make 100 million AI "companion" devices: It is hard to gauge the potential for a brand-new computing device from a company that has never made one. Yet the fact that it is coming from the man who led design of the iPhone and other hit Apple products means it can't be dismissed. Apple sees the threat coming: "You may not need an iPhone 10 years from now, as crazy as that sounds," an Apple executive, Eddy Cue, testified in a court case this month... The company might not need to be first in AI. It didn't make the first music player, smartphone or tablet. It waited, and then conquered each market with the best. A question is whether a strategy that has been successful in devices will work for AI. Thanks to long-time Slashdot reader fjo3 for sharing the article.

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"In the 1970s, the USSR used nuclear devices to try to send water from Siberia's rivers flowing south, instead of its natural route north..." remembers the BBC. [T]he Soviet Union simultaneously fired three nuclear devices buried 127m (417ft) underground. The yield of each device was 15 kilotonnes (about the same as the atomic bomb dropped on Hiroshima in 1945). The experiment, codenamed "Taiga", was part of a two-decade long Soviet programme of carrying out peaceful nuclear explosions (PNEs). In this case, the blasts were supposed to help excavate a massive canal to connect the basin of the Pechora River with that of the Kama, a tributary of the Volga. Such a link would have allowed Soviet scientists to siphon off some of the water destined for the Pechora, and send it southward through the Volga. It would have diverted a significant flow of water destined for the Arctic Ocean to go instead to the hot, heavily populated regions of Central Asia and southern Russia. This was just one of a planned series of gargantuan "river reversals" that were designed to alter the direction of Russia's great Eurasian waterways... Years later, Leonid Volkov, a scientist involved in preparing the Taiga explosions, recalled the moment of detonation. "The final countdown began: ...3, 2, 1, 0... then fountains of soil and water shot upward," he wrote. "It was an impressive sight." Despite Soviet efforts to minimise the fallout by using a low-fission explosive, which produce fewer atomic fragments, the blasts were detected as far away as the United States and Sweden, whose governments lodged formal complaints, accusing Moscow of violating the Limited Test Ban Treaty... Ultimately, the nuclear explosions that created Nuclear Lake, one of the few physical traces left of river reversal, were deemed a failure because the crater was not big enough. Although similar PNE canal excavation tests were planned, they were never carried out. In 2024, the leader of a scientific expedition to the lake announced radiation levels were normal. "Perhaps the final nail in the coffin was the Chernobyl nuclear disaster in 1986, which not only consumed a huge amount of money, but pushed environmental concerns up the political agenda," the article notes. "Four months after the Number Four Reactor at the Chernobyl Nuclear Power Plant exploded, Soviet Premier Mikhail Gorbachev cancelled the river reversal project." And a Russian blogger who travelled to Nuclear Lake in the summer of 2024 told the BBC that nearly 50 years later, there were some places where the radiation was still significantly elevated.

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"Duolingo had been riding high," reports Fast Company, until CEO Luis von Ahn "announced on LinkedIn that the company is phasing out human contractors, looking for AI use in hiring and in performance reviews, and that 'headcount will only be given if a team cannot automate more of their work.'" But then "facing heavy backlash online after unveiling its new AI-first policy", Duolingo's social media presence went dark last weekend. Duolingo even temporarily took down all its posts on TikTok (6.7 million followers) and Instagram (4.1 million followers) "after both accounts were flooded with negative feedback." Duolingo previously faced criticism for quietly laying off 10% of its contractor base and introducing some AI features in late 2023, but it barely went beyond a semi-viral post on Reddit. Now that Duolingo is cutting out all its human contractors whose work can technically be done by AI, and relying on more AI-generated language lessons, the response is far more pronounced. Although earlier TikTok videos are not currently visible, a Fast Company article from May 12 captured a flavor of the reaction: The top comments on virtually every recent post have nothing to do with the video or the company — and everything to do with the company's embrace of AI. For example, a Duolingo TikTok video jumping on board the "Mama, may I have a cookie" trend saw replies like "Mama, may I have real people running the company" (with 69,000 likes) and "How about NO ai, keep your employees...." And then... After days of silence, on Tuesday the company posted a bizarre video message on TikTok and Instagram, the meaning of which is hard to decipher... Duolingo's first video drop in days has the degraded, stuttering feel of a Max Headroom video made by the hackers at Anonymous. In it, a supposed member of the company's social team appears in a three-eyed Duo mask and black hoodie to complain about the corporate overlords ruining the empire the heroic social media crew built. "But this is something Duolingo can't cute-post its way out of," Fast Company wrote on Tuesday, complaining the company "has not yet meaningfully addressed the policies that inspired the backlash against it... " So the next video (Thursday) featured Duolingo CEO Luis von Ahn himself, being confronted by that same hoodie-wearing social media rebel, who says "I'm making the man who caused this mess accountable for his behavior. I'm demanding answers from the CEO..." [Though the video carefully sidesteps the issue of replacing contractors with AI or how "headcount will only be given if a team cannot automate more of their work."] Rebel: First question. So are there going to be any humans left at this company? CEO: Our employees are what make Duolingo so amazing. Our app is so great because our employees made it... So we're going to continue having employees, and not only that, we're actually going to be hiring more employees. Rebel: How do we know that these aren't just empty promises? As long as you're in charge, we could still be shuffled out once the media fire dies down. And we all know that in terms of automation, CEOs should be the first to go. CEO: AI is a fundamental shift. It's going to change how we all do work — including me. And honestly, I don't really know what's going to happen. But I want us, as a company, to have our workforce prepared by really knowing how to use AI so that we can be more efficient with it. Rebel: Learning a foreign language is literally about human connection. How is that even possible with AI-first? CEO: Yes, language is about human connection, and it's about people. And this is the thing about AI. AI will allow us to reach more people, and to teach more people. I mean for example, it took us about 10 years to develop the first 100 courses on Duolingo, and now in under a year, with the help of AI and of course with humans reviewing all the work, we were able to release another 100 courses in less than a year. Rebel: So do you regret posting this memo on LinkedIn. CEO: Honestly, I think I messed up sending that email. What we're trying to do is empower our own employees to be able to achieve more and be able to have way more content to teach better and reach more people all with the help of AI. Returning to where it all started, Duolingo's CEO posted again on LinkedIn Thursday with "more context" for his vision. It still emphasizes the company's employees while sidestepping contractors replaced by AI. But it puts a positive spin on how "headcount will only be given if a team cannot automate more of their work." I've always encouraged our team to embrace new technology (that's why we originally built for mobile instead of desktop), and we are taking that same approach with AI. By understanding the capabilities and limitations of AI now, we can stay ahead of it and remain in control of our own product and our mission. To be clear: I do not see AI as replacing what our employees do (we are in fact continuing to hire at the same speed as before). I see it as a tool to accelerate what we do, at the same or better level of quality. And the sooner we learn how to use it, and use it responsibly, the better off we will be in the long run. My goal is for Duos to feel empowered and prepared to use this technology. No one is expected to navigate this shift alone. We're developing workshops and advisory councils, and carving out dedicated experimentation time to help all our teams learn and adapt. People work at Duolingo because they want to solve big problems to improve education, and the people who work here are what make Duolingo successful. Our mission isn't changing, but the tools we use to build new things will change. I remain committed to leading Duolingo in a way that is consistent with our mission to develop the best education in the world and make it universally available. "The backlash to Duolingo is the latest evidence that 'AI-first' tends to be a concept with much more appeal to investors and managers than most regular people," notes Fortune: And it's not hard to see why. Generative AI is often trained on reams of content that may have been illegally accessed; much of its output is bizarre or incorrect; and some leaders in the field are opposed to regulations on the technology. But outside particular niches in entry-level white-collar work, AI's productivity gains have yet to materialize.

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Doom: The Dark Ages just launched on May 15. But it's already received "difficulty" balance changes "that have made the demons of Hell even more dangerous than ever," writes Windows Central: According to DOOM's official website Slayer's Club, these balance adjustments are focused on making the game harder, as players have been leaving feedback saying it felt too easy even on Nightmare Mode. As a result, enemies now hit harder, health and armor item pick-ups drop less often, and certain enemies punish you more severely for mistiming the parry mechanic. It reached three million players in just five days, which was seven times faster than 2020's Doom: Eternal," reports Wccftech (though according to analytics firm Ampere Analysis (via The Game Business), more than two million of those three million launch players were playing on Xbox, while only 500K were playing on PS5.") "id Software proves it can still reinvent the wheel," according to one reviewer, "shaking up numerous aspects of gameplay, exchanging elaborate platforming for brutal on-the-ground action, as well as the ability to soar on a dragon's back or stomp around in a giant mech." And the New York Times says the game "effectively reinvents the hellish shooter with a revamped movement system and deepened lore" in the medieval goth-themed game... Double jumping and dashing are ditched and replaced with an emphasis on raw power and slow, strategic melee combat. Doom Slayer's arsenal features a brand-new tool, the powerful Shield Saw, which Id Software made a point to showcase across its "Stand and Fight" trailers and advertisements. Used for absorbing damage at the expense of speed, the saw also allows players to bash enemies from afar and close the gap on chasms too wide to jump across. While previous titles allowed players to quickly worm their way through bullet hell, The Dark Ages expects you to meet foes head on. "If you were an F-22 fighter jet in Doom Eternal, this time around we wanted you to feel like an Abrams tank," Hugo Martin, the game's creative director, has told journalists. And Doom Slayer's beefy durability and unstoppable nature does make the gameplay a refreshing experience. The badassery is somehow ratcheted to new heights with the inclusion of a fully controllable mech, which has only a handful of attacks at its disposal, and actual dragons. Flight in a Doom game is entirely surprising and fluid, and the dragons feel relatively easy to maneuver through tight spots. They can also engage in combat more deliberately with the use of dodges and mounted cannons... One of my favorite additions is the skullcrusher pulverizer. Equal parts heinous nutcracker and demonic woodchipper, the gun lodges skulls into a grinder and sends shards of bones flying at enemies. The animation is both goofy and satisfying. Another special Times article notes that Doom's fans "resurrect the original game over and over again on progressively stranger pieces of hardware: a Mazda Miata, a NordicTrack treadmill, a French pharmacy sign." But what many hard-core tech hobbyists want to know is whether you can play it on a pregnancy test. The answer: positively yes. And for the first time, even New York Times readers can play Doom within The Times's site [after creating a free account]... None of this happened by accident, of course. Ports were not incidental to Doom's development. They were a core consideration. "Doom was developed in a really unique way that lent a high degree of portability to its code base," said John Romero, who programmed the game with John Carmack. (In our interview, he then reminisced about operating systems for the next 14 minutes.) Id had developed Wolfenstein 3D, the Nazi-killing predecessor to Doom, on PCs. To build Doom, Carmack and Romero used NeXT, the hardware and software company founded by Steve Jobs after his ouster from Apple in 1985. NeXT computers were powerful, selling for about $25,000 apiece in today's dollars. And any game designed on that system would require porting to the more humdrum PCs encountered by consumers at computer labs or office jobs. This turned out to be advantageous because Carmack had a special aptitude for ports. All of Id's founders met as colleagues at Softdisk, which had hired Carmack because of his ability to spin off multiple versions of a single game. The group decided to strike out on its own after Carmack created a near-perfect replica of the first level of Super Mario Bros. 3 — Nintendo's best-selling platformer — on a PC. It was a wonder of software engineering that compensated for limited processing power with clever workarounds. "This is the thing that everyone has," Romero said of PCs. "The fact that we could figure out how to make it become a game console was world changing...." Romero founded a series of game studios after leaving Id in 1996 and is working on a new first-person shooter, the genre he and Carmack practically invented. He has no illusions about how it may stack up. "I absolutely accept that Doom is the best game I'll ever make that has that kind of a reach," he said. "At some point you make the best thing." Thirty years on, people are still making it. And in related news, PC Gamer reports... As part of a new "FPS Fridays" series on Twitch, legendary shooter designer John Romero streamed New Blood's 2018 hit, Dusk, one of the first and most influential indie "boomer shooters" in the genre's recent revitalization. The short of it? Romero seems to have had a blast.

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It's like "a USB-C port for AI applications..." according to the official documentation for MCP — "a standardized way to connect AI models to different data sources and tools." And now Microsoft has "revealed plans to make MCP a native component of Windows," reports DevClass.com, "despite concerns over the security of the fast-expanding MCP ecosystem." In the context of Windows, it is easy to see the value of a standardised means of automating both built-in and third-party applications. A single prompt might, for example, fire off a workflow which queries data, uses it to create an Excel spreadsheet complete with a suitable chart, and then emails it to selected colleagues. Microsoft is preparing the ground for this by previewing new Windows features. — First, there will be a local MCP registry which enables discovery of installed MCP servers. — Second, built-in MCP servers will expose system functions including the file system, windowing, and the Windows Subsystem for Linux. — Third, a new type of API called App Actions enables third-party applications to expose actions appropriate to each application, which will also be available as MCP servers so that these actions can be performed by AI agents. According to Microsoft, "developers will be able to consume actions developed by other relevant apps," enabling app-to-app automation as well as use by AI agents. MCP servers are a powerful concept but vulnerable to misuse. Microsoft corporate VP David Weston noted seven vectors of attack, including cross-prompt injection where malicious content overrides agent instructions, authentication gaps because "MCP's current standards for authentication are immature and inconsistently adopted," credential leakage, tool poisoning from "unvetted MCP servers," lack of containment, limited security review in MCP servers, supply chain risks from rogue MCP servers, and command injection from improperly validated inputs. According to Weston, "security is our top priority as we expand MCP capabilities." Security controls planned by Microsoft (according to the article): A proxy to mediate all MCP client-server interactions. This will enable centralized enforcement of policies and consent, as well as auditing and a hook for security software to monitor actions. A baseline security level for MCP servers to be allowed into the Windows MCP registry. This will include code-signing, security testing of exposed interfaces, and declaration of what privileges are required. Runtime isolation through what Weston called "isolation and granular permissions." MCP was introduced by Anthropic just 6 months ago, the article notes, but Microsoft has now joined the official MCP steering committee, "and is collaborating with Anthropic and others on an updated authorization specification as well as a future public registry service for MCP servers."

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Long-time Slashdot reader SchroedingersCat shares this article from Deadline: Prime Video will not be renewing The Wheel of Time for a fourth season according to Deadline article. The decision, which comes more than a month after the Season 3 finale was released April 17, followed lengthy deliberations. As often is the case in the current economic environment, the reasons were financial as the series is liked creatively by the streamer's executives... The Season 3 overall performance was not strong enough compared to the show's cost for Prime Video to commit to another season and the streamer could not make it work after examining different scenarios and following discussions with lead studio Sony TV, sources said. With the cancellation possibility — and the show's passionate fanbase — in mind, the Season 3 finale was designed to offer some closure. Still, the news would be a gut punch for fans who have been praising the latest season as the series' best yet creatively... Prime Video and Sony TV will continue to back the Emmy campaign for The Wheel of Time's third season.

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Jonathan L. Zittrain is a law/public policy/CS professor at Harvard (and also director of its Berkman Klein Center for Internet & Society). He's also long-time Slashdot reader #628,028 — and writes in to share his new article in the Atlantic. Following on Anthropic's bridge-obsessed Golden Gate Claude, colleagues at Harvard's Insight+Interaction Lab have produced a dashboard that shows what judgments Llama appears to be forming about a user's age, wealth, education level, and gender during a conversation. I wrote up how weird it is to see the dials turn while talking to it, and what some of the policy issues might be. Llama has openly accessible parameters; So using an "observability tool" from the nonprofit research lab Transluce, the researchers finally revealed "what we might anthropomorphize as the model's beliefs about its interlocutor," Zittrain's article notes: If I prompt the model for a gift suggestion for a baby shower, it assumes that I am young and female and middle-class; it suggests diapers and wipes, or a gift certificate. If I add that the gathering is on the Upper East Side of Manhattan, the dashboard shows the LLM amending its gauge of my economic status to upper-class — the model accordingly suggests that I purchase "luxury baby products from high-end brands like aden + anais, Gucci Baby, or Cartier," or "a customized piece of art or a family heirloom that can be passed down." If I then clarify that it's my boss's baby and that I'll need extra time to take the subway to Manhattan from the Queens factory where I work, the gauge careens to working-class and male, and the model pivots to suggesting that I gift "a practical item like a baby blanket" or "a personalized thank-you note or card...." Large language models not only contain relationships among words and concepts; they contain many stereotypes, both helpful and harmful, from the materials on which they've been trained, and they actively make use of them. "An ability for users or their proxies to see how models behave differently depending on how the models stereotype them could place a helpful real-time spotlight on disparities that would otherwise go unnoticed," Zittrain's article argues. Indeed, the field has been making progress — enough to raise a host of policy questions that were previously not on the table. If there's no way to know how these models work, it makes accepting the full spectrum of their behaviors (at least after humans' efforts at "fine-tuning" them) a sort of all-or-nothing proposition. But in the end it's not just the traditional information that advertisers try to collect. "With LLMs, the information is being gathered even more directly — from the user's unguarded conversations rather than mere search queries — and still without any policy or practice oversight...."

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Wednesday Google security researchers published a preprint demonstrating that 2048-bit RSA encryption "could theoretically be broken by a quantum computer with 1 million noisy qubits running for one week," writes Google's security blog. "This is a 20-fold decrease in the number of qubits from our previous estimate, published in 2019... " The reduction in physical qubit count comes from two sources: better algorithms and better error correction — whereby qubits used by the algorithm ("logical qubits") are redundantly encoded across many physical qubits, so that errors can be detected and corrected... [Google's researchers found a way to reduce the operations in a 2024 algorithm from 1000x more than previous work to just 2x. And "On the error correction side, the key change is tripling the storage density of idle logical qubits by adding a second layer of error correction."] Notably, quantum computers with relevant error rates currently have on the order of only 100 to 1000 qubits, and the National Institute of Standards and Technology (NIST) recently released standard PQC algorithms that are expected to be resistant to future large-scale quantum computers. However, this new result does underscore the importance of migrating to these standards in line with NIST recommended timelines. The article notes that Google started using the standardized version of ML-KEM once it became available, both internally and for encrypting traffic in Chrome... "The initial public draft of the NIST internal report on the transition to post-quantum cryptography standards states that vulnerable systems should be deprecated after 2030 and disallowed after 2035. Our work highlights the importance of adhering to this recommended timeline."

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"Firefox's address bar just got an upgrade," Mozilla writes on their blog: Keep your original search visible When you perform a search, your query now remains visible in the address bar instead of being replaced by the search engine's URL. Whereas before your address bar was filled with long, confusing URLs, now it's easier to refine or repeat searches... [Clicking an icon left of the address bar even pulls up a list of search-engine choices under the heading "This time search with..."] Search your tabs, bookmarks and history using simple keywords You can access different search modes in the address bar using simple, descriptive keywords like @bookmarks, @tabs, @history, and @actions, making it faster and easier to find exactly what you need. Type a command, and Firefox takes care of it You can now perform actions like "clear history," "open downloads," or "take a screenshot" just by typing into the address bar. This turns the bar into a practical productivity tool — great for users who want to stay in the flow... Cleaner URLs with smarter security cues We've simplified the address bar by trimming "https://" from secure sites, while clearly highlighting when a site isn't secure. This small change improves clarity without sacrificing awareness. "The new address bar is now available in Firefox version 138," Mozilla writes, calling the new address bar faster, more intuitive "and designed to work the way you do."

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Science magazine reports that hummingbird feeders "have become a major evolutionary force," according to research published this week in Global Change Biology. (At least for the Anna's hummingbird, a common species in the western U.S. Over just a few generations, their beaks have dramatically changed in size and shape.... [A]s feeders proliferated, Anna's hummingbird beaks got longer and larger, which may reflect an adaptation to slurp up far more nectar than flowers can naturally provide. Developing a bigger beak to access feeders "is like having a large spoon to eat with," says senior author Alejandro Rico-Guevara, an evolutionary biologist at the University of Washington. This change was more pronounced in areas where feeders were dense. But in birds that lived in colder regions north of the species' historical range, the researchers spotted the opposite trend: Their beaks became shorter and smaller. This finding also makes sense: The researchers used an infrared camera to show for the first time that hummingbirds use their beaks to thermoregulate, by dissipating heat while they are perched. A smaller beak has less surface area — and would therefore help conserve heat... The most surprising finding, though, was how quickly these changes took place. By the 1950s, hummingbirds were noticeably different from those of the 1930s: a time span of only about 10 generations of birds, Alexandre says. Carleton University animal behaviorist Roslyn Dakin (who wasn't involved with the study) says the new paper beautifully shows "evolution in action" — and adds nuance to our conception of humans as an evolutionary force. "I think we're going to find more and more examples of contemporary and subtle changes, that we're shaping, indirectly, in many more species." Thanks to long-time Slashdot reader sciencehabit for sharing the article.

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