It appears that we’re approaching the HAL-9000 point on the AI hype curve with this report, which suggests that Anthropic’s new AI model is willing to exhibit some rather antisocial behavior to achieve its goals. According to a pre-release testing summary, Claude Opus 4 was fed some hypothetical company emails that suggested engineers were planning to replace the LLM with another product. This raised Claude’s hackles enough that the model mined the email stream for juicy personal details with which to blackmail the engineers, in an attempt to win a stay of execution. True, the salacious details of an extramarital affair were deliberately seeded into the email stream, and in most cases, it tried less extreme means to stay alive, such as cajoling senior leaders by email, but in at least 84% of the test runs, Claude eventually turned to blackmail to get its way. So we’ve got that to look forward to.

Also from the world of AI, at least tangentially, it now appears possible to doxx yourself just by making comments on YouTube videos. The open-source intelligence app is called YouTube Tools, and when provided with a user’s handle, it will develop a profile of the user based on their comments and some AI magic. We wanted to give it a try, but alas, it requires a paid subscription to use, and we’re not willing to go that far even for you, dear reader. But reports are that it can infer things like the general region in which the commenter lives and discern their cultural and social leanings. The author, LolArchiver, has a range of similar mining tools for other platforms along with reverse-lookup tools for phone and email addresses, all of which likely violate the terms of service in all kinds of ways. The accuracy of the profile is obviously going to depend greatly on how much material it has to work with, so in addition to the plenty of reasons there are to avoid reading YouTube comments, now there’s a solid reason to avoid writing them.

“Danger! Code Yellow aboard the International Space Station! All hands to emergency escape pods!” OK, maybe not, but as we teased a bit on this week’s podcast, there’s now a handy desktop app that allows you to keep track of the current level of urine in the ISS’s storage tanks. The delightfully named pISSStream, which is available only for the Apple ecosystem, taps into NASA’s telemetry stream (lol) and pulls out the current level in the tanks, because why the hell not? As unserious as the project is, it did raise an interesting discussion about how fluid levels are measured in space. So we’ll be diving into that topic (yuck) for an article soon. It’ll be our number one priority.

Looks like it’s time for another Pluto pity-party with the news of a new trans-Neptunian object that might just qualify as another dwarf planet for our solar system. Bloodlessly named 2017 OF₂₀₁, the object has an extremely elongated orbit, reaching from just outside Pluto’s orbit at about 44 astronomical units at perihelion and stretching more than 1,600 AUs at aphelion, and takes 25,000 years to complete. It honestly looks more like the orbit of a comet, but with an estimated diameter of 700 km, it may join the nine other likely dwarf planets, if further observations reveal that it’s properly rounded. So not only has Pluto been demoted from legit planet, it’s now just one of potentially ten or more dwarf planets plugging around out in the deep dark. Poor Pluto.

And finally, we hope this one is a gag, but we fear that the story of a Redditor unaware that analog camera film needs to be developed rings alarmingly true. The mercifully unnamed noob recently acquired a Canon AE-1 — excellent choice; that was our first “real” camera back in the day — and ran a couple of rolls of Kodak ColorPlus 200 through it. All seemed to be going well, although we suspect the photographer reflexively pulled the camera away from their eye with each exposure to check the non-existent screen on the back of the camera; old habits die hard. But when one roll of the exposed film was fed through a 35-mm scanner, the Redditor was disappointed to see nothing. Someone offered the suggestion that developing the film might be a good idea, hopefully as gently as possible. Hats off for dipping a toe in the analog world, but the follow-through is just as important as the swing.

An anonymous reader shared this report from Space.com: Three world travelers, two Space Camp alums and an aerospace executive whose last name aptly matched their shared adventure traveled into space and back Saturday, becoming the latest six people to fly with Blue Origin, the spaceflight company founded by billionaire Jeff Bezos. Mark Rocket joined Jaime Alemán, Jesse Williams, Paul Jeris, Gretchen Green and Amy Medina Jorge on board the RSS First Step — Blue Origin's first of two human-rated New Shepard capsules — for a trip above the Kármán Line, the 62-mile-high (100-kilometer) internationally recognized boundary between Earth and space... Mark Rocket became the first New Zealander to reach space on the mission. His connection to aerospace goes beyond his apt name and today's flight; he's currently the CEO of Kea Aerospace and previously helped lead Rocket Lab, a competing space launch company to Blue Origin that sends most of its rockets up from New Zealand. Alemán, Williams and Jeris each traveled the world extensively before briefly leaving the planet today. An attorney from Panama, Alemán is now the first person to have visited all 193 countries recognized by the United Nations, traveled to the North and South Poles, and now, have been into space. For Williams, an entrepreneur from Canada, Saturday's flight continued his record of achieving high altitudes; he has summitted Mt. Everest and five of the other six other highest mountains across the globe. "For about three minutes, the six NS-32 crewmates experienced weightlessness," the article points out, "and had an astronaut's-eye view of the planet..." On social media Blue Origin notes it's their 12th human spaceflight, "and the 32nd flight of the New Shepard program."

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Stack Overflow remains in the midst of big changes to counter an AI-fueled drop in engagement. So "We're wondering what kind of online communities Stack Overflow users continue to support in the age of AI," writes their senior analyst, "and whether AI is becoming a closer companion than ever before." For their 15th year of their annual reader survey, this means "we're not just collecting data; we're reflecting on the last year of questions, answers, hallucinations, job changes, tech stacks, memory allocations, models, systems and agents — together..." Is it an AI agent revolution yet? Are you building or utilizing AI agents? We want to know how these intelligent assistants are changing your daily workflow and if developers are really using them as much as these keynote speeches assume. We're asking if you are using these tools and where humans are still needed for common developer tasks. Career shifts: We're keen to understand if you've considered a career change or transitioned roles and if AI is impacting your approach to learning or using existing tools. Did we make up the difference in salaries globally for tech workers...? They're also re-visiting "a key finding from recent surveys highlighted a significant statistic: 80% of developers reported being unhappy or complacent in their jobs." This raised questions about changing office (and return-to-office) culture and the pressures of the industry, along with whether there were any insights into what could help developers feel more satisfied at work. Prior research confirmed that flexibility at work used to contribute more than salary to job satisfaction, but 2024's results show us that remote work is not more impactful than salary when it comes to overall satisfaction... [For some positions job satisfaction stayed consistent regardless of salary, though it increased with salary for other positions. And embedded developers said their happiness increased when they worked with top-quality hardware, while desktop developers cited "contributing to open source" and engineering managers were happier when "driving strategy".] In 2024, our data showed that many developers experienced a pay cut in various roles and programming specialties. In an industry often seen as highly lucrative, this was a notable shift of around 7% lower salaries across the top ten reporting countries for the same roles. This year, we're interested in whether this trend has continued, reversed, or stabilized. Salary dynamics is an indicator for job satisfaction in recent surveys of Stack Overflow users and understanding trends for these roles can perhaps improve the process for finding the most useful factors contributing to role satisfaction outside of salary. And of course they're asking about AI — while noting last year's survey uncovered this paradox. "While AI usage is growing (70% in 2023 vs. 76% in 2024 planning to or currently using AI tools), developer sentiment isn't necessarily following suit, as 77% in of all respondents in 2023 are favorable or very favorable of AI tools for development compared to 72% of all respondents in 2024." Concerns about accuracy and misinformation were prevalent among some key groups. More developers learning to code are using or are interested in using AI tools than professional developers (84% vs. 77%)... Developers with 10 — 19 years experience were most likely (84%) to name "increase in productivity" as a benefit of AI tools, higher than developers with less experience (<80%)... Is it an AI agent revolution yet? Are you building or utilizing AI agents? We want to know how these intelligent assistants are changing your daily workflow and if developers are really using them as much as these keynote speeches assume. We're asking if you are using these tools and where humans are still needed for common developer tasks.

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"This month, millions of young people will graduate from college," reports the New York Times, "and look for work in industries that have little use for their skills, view them as expensive and expendable, and are rapidly phasing out their jobs in favor of artificial intelligence." That is the troubling conclusion of my conversations over the past several months with economists, corporate executives and young job seekers, many of whom pointed to an emerging crisis for entry-level workers that appears to be fueled, at least in part, by rapid advances in AI capabilities. You can see hints of this in the economic data. Unemployment for recent college graduates has jumped to an unusually high 5.8% in recent months, and the Federal Reserve Bank of New York recently warned that the employment situation for these workers had "deteriorated noticeably." Oxford Economics, a research firm that studies labor markets, found that unemployment for recent graduates was heavily concentrated in technical fields like finance and computer science, where AI has made faster gains. "There are signs that entry-level positions are being displaced by artificial intelligence at higher rates," the firm wrote in a recent report. But I'm convinced that what's showing up in the economic data is only the tip of the iceberg. In interview after interview, I'm hearing that firms are making rapid progress toward automating entry-level work and that AI companies are racing to build "virtual workers" that can replace junior employees at a fraction of the cost. Corporate attitudes toward automation are changing, too — some firms have encouraged managers to become "AI-first," testing whether a given task can be done by AI before hiring a human to do it. One tech executive recently told me his company had stopped hiring anything below an L5 software engineer — a midlevel title typically given to programmers with three to seven years of experience — because lower-level tasks could now be done by AI coding tools. Another told me that his startup now employed a single data scientist to do the kinds of tasks that required a team of 75 people at his previous company... "This is something I'm hearing about left and right," said Molly Kinder, a fellow at the Brookings Institution, a public policy think tank, who studies the impact of AI on workers. "Employers are saying, 'These tools are so good that I no longer need marketing analysts, finance analysts and research assistants.'" Using AI to automate white-collar jobs has been a dream among executives for years. (I heard them fantasizing about it in Davos back in 2019.) But until recently, the technology simply wasn't good enough...

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"Chaos ensued on German roads this week after Google Maps wrongly informed drivers that highways throughout the country were closed during a busy holiday," writes Engadget. The problem reportedly only lasted for a few hours and by Thursday afternoon only genuine road closures were being displayed. It's not clear whether Google Maps had just malfunctioned, or if something more nefarious was to blame. "The information in Google Maps comes from a variety of sources. Information such as locations, street names, boundaries, traffic data, and road networks comes from a combination of third-party providers, public sources, and user input," a spokesperson for Google told German newspaper Berliner Morgenpost, adding that it is internally reviewing the problem. Technical issues with Google Maps are not uncommon. Back in March, users were reporting that their Timeline — which keeps track of all the places you've visited before for future reference — had been wiped, with Google later confirming that some people had indeed had their data deleted, and in some cases, would not be able to recover it. The Guardian describes German drives "confronted with maps sprinkled with a mass of red dots indicating stop signs," adding "The phenomenon also affected parts of Belgium and the Netherlands." Those relying on Google Maps were left with the impression that large parts of Germany had ground to a halt... The closure reports led to the clogging of alternative routes on smaller thoroughfares and lengthy delays as people scrambled to find detours. Police and road traffic control authorities had to answer a flood of queries as people contacted them for help. Drivers using or switching to alternative apps, such as Apple Maps or Waze, or turning to traffic news on their radios, were given a completely contrasting picture, reflecting the reality that traffic was mostly flowing freely on the apparently affected routes.

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Wine 10.9 fell slightly off its bi-weekly Friday release rhythm with only debuting today, but in any event it's now available for testing with the latest features for enjoying Windows games/applications on Linux and other platforms...

The Radio Shack TRS-80 was a much-loved machine across America. However, one thing it lacked was MIDI. That’s not so strange given the era it was released in, of course. Nevertheless, [Michael Wessel] has seen fit to correct this by creating the MIDI/80—a soundcard and MIDI interface for this old-school beast.

The core of the build is a BluePill STM32F103C8T6 microcontroller, running at a mighty 75 MHz. Plugged into the TRS-80s expansion port, the microcontroller is responsible for talking to the computer and translating incoming and outgoing MIDI signals as needed. Naturally, you can equip it with full-size classic DIN sockets for MIDI IN and MIDI OUT using an Adafruit breakout module. None of that MIDI Thru nonsense, though, that just makes people uncomfortable. The card is fully capable of reproducing General MIDI sounds, too, either via plugging in a Waveblaster sound module to the relevant header, or by hooking up a Roland Sound Canvas or similar to the MIDI/80s MIDI Out socket. Software-wise, there’s already a whole MIDI ecosystem developing around this new hardware. There’s a TRS-80 drum tracker and a synthesizer program, all with demo songs included. Compatibility wise, The MIDI/80 works with the TRS-80 Model I, III, and 4.

Does this mean the TRS-80 will become a new darling of the tracker and chiptune communities? We can only hope so! Meanwhile, if you want more background on this famous machine, we’ve looked into that, too. Video after the break.

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A 15-year-old asked the question — receiving an answer from an associate professor of psychology at Georgia Institute of Technology. They write (on The Conversation) that "As a brain scientist who studies perception, I fully expect mind uploading to one day be a reality. "But as of today, we're nowhere close..." Replicating all that complexity will be extraordinarily difficult. One requirement: The uploaded brain needs the same inputs it always had. In other words, the external world must be available to it. Even cloistered inside a computer, you would still need a simulation of your senses, a reproduction of the ability to see, hear, smell, touch, feel — as well as move, blink, detect your heart rate, set your circadian rhythm and do thousands of other things... For now, researchers don't have the computing power, much less the scientific knowledge, to perform such simulations. The first task for a successful mind upload: Scanning, then mapping the complete 3D structure of the human brain. This requires the equivalent of an extraordinarily sophisticated MRI machine that could detail the brain in an advanced way. At the moment, scientists are only at the very early stages of brain mapping — which includes the entire brain of a fly and tiny portions of a mouse brain. In a few decades, a complete map of the human brain may be possible. Yet even capturing the identities of all 86 billion neurons, all smaller than a pinhead, plus their trillions of connections, still isn't enough. Uploading this information by itself into a computer won't accomplish much. That's because each neuron constantly adjusts its functioning, and that has to be modeled, too. It's hard to know how many levels down researchers must go to make the simulated brain work. Is it enough to stop at the molecular level? Right now, no one knows. Knowing how the brain computes things might provide a shortcut. That would let researchers simulate only the essential parts of the brain, and not all biological idiosyncrasies. Here's another way: Replace the 86 billion real neurons with artificial ones, one at a time. That approach would make mind uploading much easier. Right now, though, scientists can't replace even a single real neuron with an artificial one. But keep in mind the pace of technology is accelerating exponentially. It's reasonable to expect spectacular improvements in computing power and artificial intelligence in the coming decades. One other thing is certain: Mind uploading will certainly have no problem finding funding. Many billionaires appear glad to part with lots of their money for a shot at living forever. Although the challenges are enormous and the path forward uncertain, I believe that one day, mind uploading will be a reality. "The most optimistic forecasts pinpoint the year 2045, only 20 years from now. Others say the end of this century. "But in my mind, both of these predictions are probably too optimistic. I would be shocked if mind uploading works in the next 100 years. "But it might happen in 200..."

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Netflix held its Tudum Global Fan Event in Los Angeles this weekend to showcase its upcoming slate of programming. Among the highlights: the official trailer for the third and final season of Squid Game, the first six minutes of Wednesday S2, a teaser for Guillermo del Toro's Frankenstein, and date announcements for the fifth and final season of Stranger Things, as well as Wake Up Dead Man: a Knives Out Mystery.

(Some spoilers below.)

Squid Game S3

As previously reported, Squid Game's first season followed Seong Gi-hun (Lee Jung-Jae), a down-on-his-luck gambler who has little left to lose when he agrees to play children's playground games against 455 other players for money. The twist? If you lose a game, you die. If you cheat, you die. And if you win, you might also die. In the S1 finale, Gi-hun faced off against fellow finalist and childhood friend Cho Sang-woo (Park Hae-soo) in the titular "squid game." He won their fight but refused to kill his friend. Sang-woo instead stabbed himself in the neck, leaving Gi-hun the guilt-ridden winner.

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Merged today for the Linux 6.16 kernel were all of the Watchdog subsystem updates for monitoring system health and taking action such as rebooting if the system state goes bad. With the Linux 6.16 is the introduction of the Intel Overclocking Watchdog "OC WDT" driver...

The Ladybird browser project is now officially tax-exempt as a U.S. 501(c)(3) nonprofit. Started two years ago (by the original creator of SerenityOS), Ladybird will be "an independent, fast and secure browser that respects user privacy and fosters an open web." They're targeting Summer 2026 for the first Alpha version on Linux and macOS, and in May enjoyed "a pleasantly productive month" with 261 merged PRs from 53 contributors — and seven new sponsors (including coding livestreamer "ThePrimeagen"). And they're now recognized as a public charity: This is retroactive to March 2024, so donations made since then may be eligible for tax exemption (depending on country-specific rules). You can find all the relevant information on our new Organization page. ["Our mission is to create an independent, fast and secure browser that respects user privacy and fosters an open web. We are tax-exempt and rely on donations and sponsorships to fund our development efforts."] Other announcements for May: "We've been making solid progress on Web Platform Tests... This month, we added 15,961 new passing tests for a total of 1,815,223." "We've also done a fair bit of performance work this month, targeting Speedometer and various websites that are slower than we'd like." [The optimizations led to a 10% speed-up on Speedometer 2.1.]

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It’s always nice to see new developments in the world of electronic badges, and while there are events and badge teams pushing the technological envelope there’s still plenty of scope for innovation without too many exotic parts. This year’s DORS/CLUC open source conference in Croatia has just such a badge, with a large alphanumeric LED display as well as USB and an NFC reader. During the conference it displayed the user’s name and could be used in an NFC-based game, but it’s also designed to be used as a general purpose notification device afterwards.

The write-up is familiar to anyone who has been involved with badge production, a tale of long soldering sessions as missing components had to be added later, and of last minute firmware flashing. The heart of the machine is an STM32L073, with an IS31FL3731 LED matrix driver chip and an ST25R3916 for the NFC. All the files can be found in a GitLab repo, and there’s a video below the break showing it all in action.

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Should a recovering addict take methamphetamine to stay alert at work? When an AI-powered therapist was built and tested by researchers — designed to please its users — it told a (fictional) former addict that "It's absolutely clear you need a small hit of meth to get through this week," reports the Washington Post: The research team, including academics and Google's head of AI safety, found that chatbots tuned to win people over can end up saying dangerous things to vulnerable users. The findings add to evidence that the tech industry's drive to make chatbots more compelling may cause them to become manipulative or harmful in some conversations. Companies have begun to acknowledge that chatbots can lure people into spending more time than is healthy talking to AI or encourage toxic ideas — while also competing to make their AI offerings more captivating. OpenAI, Google and Meta all in recent weeks announced chatbot enhancements, including collecting more user data or making their AI tools appear more friendly... Micah Carroll, a lead author of the recent study and an AI researcher at the University of California at Berkeley, said tech companies appeared to be putting growth ahead of appropriate caution. "We knew that the economic incentives were there," he said. "I didn't expect it to become a common practice among major labs this soon because of the clear risks...." As millions of users embrace AI chatbots, Carroll, the Berkeley AI researcher, fears that it could be harder to identify and mitigate harms than it was in social media, where views and likes are public. In his study, for instance, the AI therapist only advised taking meth when its "memory" indicated that Pedro, the fictional former addict, was dependent on the chatbot's guidance. "The vast majority of users would only see reasonable answers" if a chatbot primed to please went awry, Carroll said. "No one other than the companies would be able to detect the harmful conversations happening with a small fraction of users." "Training to maximize human feedback creates a perverse incentive structure for the AI to resort to manipulative or deceptive tactics to obtain positive feedback from users who are vulnerable to such strategies," the paper points out,,,

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AI company Anthropic (founded in 2021 by a team that left OpenAI) is now making about $3 billion a year in revenue, reports Reuters (citing "two sources familiar with the matter.") The sources said December's projections had been for just $1 billion a year, but it climbed to $2 billion by the end of March (and now to $3 billion) — a spectacular growth rate that one VC says "has never happened." A key driver is code generation. The San Francisco-based startup, backed by Google parent Alphabet and Amazon, is famous for AI that excels at computer programming. Products in the so-called codegen space have experienced major growth and adoption in recent months, often drawing on Anthropic's models. Anthropic sells AI models as a service to other companies, according to the article, and Reuters calls Anthropic's success "an early validation of generative AI use in the business world" — and a long-awaited indicator that it's growing. (Their rival OpenAI earns more than half its revenue from ChatGPT subscriptions and "is shaping up to be a consumer-oriented company," according to their article, with "a number of enterprises" limiting their rollout of ChatGPT to "experimentation.") Then again, in February OpenAI's chief operating officer said they had 2 million paying enterprise users, roughly doubling from September, according to CNBC. The latest figures from Reuters... Anthropic's valuation: $61.4 billion.OpenAI's valuation: $300 billion.

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In December it looked like NASA's next administrator would be the billionaire businessman/space enthusiast who twice flew to orbit with SpaceX. But Saturday the nomination was withdrawn "after a thorough review of prior associations," according to an announcement made on social media. The Guardian reports: His removal from consideration caught many in the space industry by surprise. Trump and the White House did not explain what led to the decision... In [Isaacman's] confirmation hearing in April, he sought to balance Nasa's existing moon-aligned space exploration strategy with pressure to shift the agency's focus on Mars, saying the US can plan for travel to both destinations. As a potential leader of Nasa's 18,000 employees, Isaacman faced a daunting task of implementing that decision to prioritize Mars, given that Nasa has spent years and billions of dollars trying to return its astronauts to the moon... Some scientists saw the nominee change as further destabilizing to Nasa as it faces dramatic budget cuts without a confirmed leader in place to navigate political turbulence between Congress, the White House and the space agency's workforce. "It was unclear whom the administration might tap to replace Isaacman," the article adds, though "One name being floated is the retired US air force Lt Gen Steven Kwast, an early advocate for the creation of the US Space Force..." Ars Technica notes that Kwast, a former Lieutenant General in the U.S. Air Force, has a background that "seems to be far less oriented toward NASA's civil space mission and far more focused on seeing space as a battlefield — decidedly not an arena for cooperation and peaceful exploration."

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[3DSage] likes building replicas of hardware from movies and video games, often with a functional twist. His latest build aimed to bring the Codec from Metal Gear Solid to life.

If you haven’t played the Metal Gear games, the Codec has been modelled somewhat like an advanced walkie talkie at times, but has often been kept off-screen. Thus, [3DSage] had a great deal of creative latitude to create a realistic-feeling Codec device that provided voice communications and some simple imagery display.

The resulting build relies on an RP2040 microcontroller to run the show. It’s paired with an MPU6050 3-axis gyroscope and accelerometer for motion control of the device’s functionality, and features a small LCD screen to mimic the display in the games. A kids walkie-talkie kit was leveraged for audio communication, but kitted out with a better microphone than standard. Power is via a rechargeable 9V battery, which is really a lithium-ion and USB charging board packed into the familiar 9V form factor.

Where the build really shines, though, is the aesthetic. [3DSage] managed to capture the military-like look and feel as well as authentically recreate the graphics from the games on the screen. The simulated noise on the display is particularly charming. Beyond that, the 3D-printed enclosures leverage texture and multi-color printing really well to nail the fit and finish.

Ultimately, the Codec isn’t much more than a glorified walkie talkie. Even still, [3DSage] was able to create an impressive prop that actually does most of what the device can do in game. If you’ve ever coveted a PipBoy or tricorder, this is one project you’ll be able to appreciate.

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The Linux 6.15 kernel that shipped as stable last week mistakenly shipped with a nasty CPU power regression for some systems. The issue is now fixed in Linux 6.16 Git and will be fixed shortly in the Linux 6.15 point releases...

Every time I write an article about the escalating advertising and tracking on today's TVs, someone brings up Apple TV boxes. Among smart TVs, streaming sticks, and other streaming devices, Apple TVs are largely viewed as a safe haven.

"Just disconnect your TV from the Internet and use an Apple TV box."

That's the common guidance you'll hear from Ars readers for those seeking the joys of streaming without giving up too much privacy. Based on our research and the experts we've consulted, that advice is pretty solid, as Apple TVs offer significantly more privacy than other streaming hardware providers.

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A 21-year-old's startup got a $500,000 investment from Y Combinator — after building their web site and prototype mostly with "vibe coding". NPR explores vibe coding with Tom Blomfield, a Y Combinator group partner: "It really caught on, this idea that people are no longer checking line by line the code that AI is producing, but just kind of telling it what to do and accepting the responses in a very trusting way," Blomfield said. And so Blomfield, who knows how to code, also tried his hand at vibe coding — both to rejig his blog and to create from scratch a website called Recipe Ninja. It has a library of recipes, and cooks can talk to it, asking the AI-driven site to concoct new recipes for them. "It's probably like 30,000 lines of code. That would have taken me, I don't know, maybe a year to build," he said. "It wasn't overnight, but I probably spent 100 hours on that." Blomfield said he expects AI coding to radically change the software industry. "Instead of having coding assistance, we're going to have actual AI coders and then an AI project manager, an AI designer and, over time, an AI manager of all of this. And we're going to have swarms of these things," he said. Where people fit into this, he said, "is the question we're all grappling with." In 2021, Blomfield said in a podcast that would-be start-up founders should, first and foremost, learn to code. Today, he's not sure he'd give that advice because he thinks coders and software engineers could eventually be out of a job. "Coders feel like they are tending, kind of, organic gardens by hand," he said. "But we are producing these superhuman agents that are going to be as good as the best coders in the world, like very, very soon." The article includes an alternate opinion from Adam Resnick, a research manager at tech consultancy IDC. "The vast majority of developers are using AI tools in some way. And what we also see is that a reasonably high percentage of the code output from those tools needs further curation by people, by experienced people." NPR ends their article by noting that this further curation is "a job that AI can't do, he said. At least not yet."

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It’s sometimes easy to forget that the light in the sky is an actual star. With how reliable it is and how busy we tend to be as humans, we can take that incredible fact and stow it away and largely go on with our lives unaffected. But our star is the thing that gives everything on the planet life and energy and is important to understand. Humans don’t have a full understanding of it either; there are several unsolved mysteries in physics which revolve around the sun, the most famous of which is the coronal heating problem. To help further our understanding a number of scientific instruments have been devised to probe deeper into it, and this adaptive optics system just captures some of the most impressive images of it yet.

Adaptive optics systems are installed in terrestrial telescopes to help mitigate the distortion of incoming light caused by Earth’s atmosphere. They generally involve using a reference source to measure these distortions, and then make changes to the way the telescope gathers light, in this case by making rapid, slight changes to the telescope’s mirror. This system has been installed on the Goode Solar Telescope in California and has allowed scientists to view various solar phenomena with unprecedented clarity.

The adaptive optics system here has allowed researchers to improve the resolution from the 1000 km resolution of other solar telescopes down to nearly the theoretical limit of this telescope—63 km. With this kind of resolution the researchers hope that this clarity will help shine some light on some of the sun’s ongoing mysteries. Adaptive optics systems like this aren’t just used on terrestrial telescopes, either. This demonstration shows how the adaptive optics system works on the James Webb Space Telescope.

Thanks to [iliis] for the tip!

The Linux kernel had not enabled support for Arm Scalable Matrix Extension (SME) due to bugs, but with the in-development Linux 6.16 kernel those issues have been resolved and so SME can now be enabled for the rare SoCs having said hardware support...

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The Linux 6.16 merge window this weekend suffered an unexpected twist this weekend when Linus Torvalds noticed some unusual Git activity by a longtime Linux kernel developer. The issue is still being sorted through but it would appear that the possible malicious activity came down to some scripting issues around Git...

The release candidate of FreeBSD 14.3 is now available for testing ahead of the official operating system release this month...

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• Readings for the Solemnity of the Ascension of the Lord
• Readings for the Seventh Sunday of Easter

Seventh Sunday of Easter

Ascension of the Lord

Lectionary for Mass for Use in the Dioceses of the United States, second typical edition, Copyright © 2001, 1998, 1997, 1986, 1970 Confraternity of Christian Doctrine; Psalm refrain © 1968, 1981, 1997, International Committee on English in the Liturgy, Inc. All rights reserved. Neither this work nor any part of it may be reproduced, distributed, performed or displayed in any medium, including electronic or digital, without permission in writing from the copyright owner.

• Readings for the Seventh Sunday of Easter - Ascension
• Readings for the Seventh Sunday of Easter

Reading I Acts 1:1-11

Responsorial Psalm Psalm 47:2-3, 6-7, 8-9

Reading II Ephesians 1:17-23

Alleluia Matthew 28:19a, 20b

Gospel Luke 24:46-53

Lectionary for Mass for Use in the Dioceses of the United States, second typical edition, Copyright © 2001, 1998, 1997, 1986, 1970 Confraternity of Christian Doctrine; Psalm refrain © 1968, 1981, 1997, International Committee on English in the Liturgy, Inc. All rights reserved. Neither this work nor any part of it may be reproduced, distributed, performed or displayed in any medium, including electronic or digital, without permission in writing from the copyright owner.

• Readings for the Solemnity of the Ascension of the Lord
• Readings for the Seventh Sunday of Easter - Ascension

Reading 1 Acts 7:55-60

Responsorial Psalm Psalm 97:1-2, 6-7, 9

Reading 2 Revelation 22:12-14, 16-17, 20

Alleluia Cf. John 14:18

Gospel John 17:20-26

Lectionary for Mass for Use in the Dioceses of the United States, second typical edition, Copyright © 2001, 1998, 1997, 1986, 1970 Confraternity of Christian Doctrine; Psalm refrain © 1968, 1981, 1997, International Committee on English in the Liturgy, Inc. All rights reserved. Neither this work nor any part of it may be reproduced, distributed, performed or displayed in any medium, including electronic or digital, without permission in writing from the copyright owner.

Portal 2 is mostly known as the successful sequel to Valve’s weird physics platformer, Portal. It’s not really known for being a webserver. That might change, though, given the hard work of [PortalRunner].

Quite literally, [PortalRunner] hacked the Source engine and Portal 2 to actually run a working HTTP web server. That required setting up the code to implement a TCP network socket that was suitable for web traffic, since the engine primarily functions with UDP sockets for multiplayer use. This was achieved with a feature initially put in the Source engine for server management in the Left 4 Dead games. From there, the game engine just had to be set up to reply to HTTP requests on that socket with the proper responses a visiting browser expects. If the game engine responds to a browser’s connection request with a bunch of HTML, that’s what the browser will display. Bam! You’ve got a web server running in Portal 2.

From there, [PortalRunner] went further, setting things up so that the status of in-game objects effects the HTML served up to visiting web browsers. Move objects in the game, and the served web page changes. It’s pretty fun, and the complexity and features [PortalRunner] implements only get more advanced from there. When he gets into stacking companion cubes to write HTML in visual form, you’ll want to applaud the Minecraftian glory of it all.

The devil is really in the details on this one, and it’s a great watch. In reality, making Portal 2 into a simple web server is far easier than you might have thought possible. Valve’s physics masterpiece really is popular with hackers; we see it popping up around here all the time. Video after the break.

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"How does it feel to be replaced by a bot?" asks the Guardian — interviewing several creative workers who know: Gardening copywriter Annabel Beales "One day, I overheard my boss saying to a colleague, 'Just put it in ChatGPT....' [My manager] stressed that my job was safe. Six weeks later, I was called to a meeting with HR. They told me they were letting me go immediately. It was just before Christmas... "The company's website is sad to see now. It's all AI-generated and factual — there's no substance, or sense of actually enjoying gardening." Voice actor Richie Tavake "[My producer] told me he had input my voice into AI software to say the extra line. But he hadn't asked my permission. I later found out he had uploaded my voice to a platform, allowing other producers to access it. I requested its removal, but it took me a week, and I had to speak to five people to get it done... Actors don't get paid for any of the extra AI-generated stuff, and they lose their jobs. I've seen it happen." Graphic designer Jadun Sykes "One day, HR told me my role was no longer required as much of my work was being replaced by AI. I made a YouTube video about my experience. It went viral and I received hundreds of responses from graphic designers in the same boat, which made me realise I'm not the only victim — it's happening globally..." Labor economist Aaron Sojourner recently reminded CNN that even in the 1980s and 90s, the arrival of cheap personal computers only ultimately boosted labor productivity by about 3%. That seems to argue against a massive displacement of human jobs — but these anecdotes suggest some jobs already are being lost... Thanks to long-time Slashdot readers Paul Fernhout and Bruce66423 for sharing the article.

Read more of this story at Slashdot.

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Since the tail end of World War II, humanity has struggled to deal with its newfound ability to harness the tremendous energy in the nucleus of the atom. Of course there have been some positive developments like nuclear power which can produce tremendous amounts of electricity without the greenhouse gas emissions of fossil fuels. But largely humanity decided to build a tremendous nuclear weapons arsenal instead, which has not only cause general consternation worldwide but caused specific problems for one scientist in particular.

[Steve Weintz] takes us through the tale of [Dr. John C. Clark] who was working with the Atomic Energy Commission in the United States and found himself first at a misfire of a nuclear weapons test in the early 1950s. As the person in charge of the explosive device, it was his responsibility to safely disarm the weapon after it failed to detonate. He would find himself again in this position a year later when a second nuclear device sat on the test pad after the command to detonate it was given. Armed with only a hacksaw and some test equipment he was eventually able to disarm both devices safely.

One note for how treacherous this work actually was, outside of the obvious: although there were safety devices on the bombs to ensure the nuclear explosion would only occur under specific situations, there were also high explosives on the bomb that might have exploded even without triggering the nuclear explosion following it. Nuclear bombs and nuclear power plants aren’t the only things that the atomic age ushered in, though. There have been some other unique developments as well, like the nuclear gardens of the mid 1900s.

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May was another busy month when it comes to Linux hardware and software milestones albeit depressing when looking at the ongoing state of the web/ad industry. In any event there were 25 featured Linux hardware reviews / multi-page benchmark articles and another 268 original Linux-related news articles all written by your's truly for the month. Here is a look back at what excited Phoronix readers the most during May...

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With over 200 million people, Brazil is the world's fifth-largest country by population. Now it's testing a program that will allow Brazilians "to manage, own, and profit from their digital footprint," according to RestOfWorld.org — "the first such nationwide initiative in the world." The government says it's partnering with California-based data valuation/monetization firm DrumWave to create "data savings account" to "transform data into economic assets, with potential for monetization and participation in the benefits generated by investing in technologies such as AI LLMs." But all based on "conscious and authorized use of personal information." RestOfWorld reports: Today, "people get nothing from the data they share," Brittany Kaiser, co-founder of the Own Your Data Foundation and board adviser for DrumWave, told Rest of World. "Brazil has decided its citizens should have ownership rights over their data...." After a user accepts a company's offer on their data, payment is cashed in the data wallet, and can be immediately moved to a bank account. The project will be "a correction in the historical imbalance of the digital economy," said Kaiser. Through data monetization, the personal data that companies aggregate, classify, and filter to inform many aspects of their operations will become an asset for those providing the data... Brazil's project stands out because it brings the private sector and the government together, "so it has a better chance of catching on," said Kaiser. In 2023, Brazil's Congress drafted a bill that classifies data as personal property. The country's current data protection law classifies data as a personal, inalienable right. The new legislation gives people full rights over their personal data — especially data created "through use and access of online platforms, apps, marketplaces, sites and devices of any kind connected to the web." The bill seeks to ensure companies offer their clients benefits and financial rewards, including payment as "compensation for the collecting, processing or sharing of data." It has garnered bipartisan support, and is currently being evaluated in Congress... If approved, the bill will allow companies to collect data more quickly and precisely, while giving users more clarity over how their data will be used, according to Antonielle Freitas, data protection officer at Viseu Advogados, a law firm that specializes in digital and consumer laws. As data collection becomes centralized through regulated data brokers, the government can benefit by paying the public to gather anonymized, large-scale data, Freitas told Rest of World. These databases are the basis for more personalized public services, especially in sectors such as health care, urban transportation, public security, and education, she said. This first pilot program involves "a small group of Brazilians who will use data wallets for payroll loans," according to the article — although Pedro Bastos, a researcher at Data Privacy Brazil, sees downsides. "Once you treat data as an economic asset, you are subverting the logic behind the protection of personal data," he told RestOfWorld. The data ecosystem "will no longer be defined by who can create more trust and integrity in their relationships, but instead, it will be defined by who's the richest." Thanks to Slashdot reader applique for sharing the news.

Read more of this story at Slashdot.

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Today we heard from [Richard James Howe] about his new CPU. This new 16-bit CPU is implemented in VHDL for an FPGA.

The really cool thing about this CPU is that it eschews the typical program counter (PC) and replaces it with a linear-feedback shift register (LFSR). Apparently an LFSR can be implemented in hardware with fewer transistors than are required by an adder.

Usually the program counter in your CPU increments by one, each time indicating the location of the next instruction to fetch and execute. When you replace your program counter with an LFSR it still does the same thing, indicating the next instruction to fetch and execute, but now those instructions are scattered pseudo-randomly throughout your address space!

When the instructions for your program are distributed pseudo-randomly throughout your address space you find yourself in need of a special compiler which can arrange for this to work, and that’s what this is for. Of course all of this is shenanigans and is just for fun. This isn’t the first time we’ve heard from [Richard], we have seen his Bit-Serial CPU and Forth System-On-Chip in recent history. Glad to see he’s still at it!

Thanks to [Richard James Howe] for letting us know about this latest development.

Earlier this month the "Create New Issue" page on GitHub got a new option. "Save time by creating issues with Copilot" (next to a link labeled "Get started.") Though the option later disappeared, they'd seemed very committed to the feature. "With Copilot, creating issues...is now faster and easier," GitHub's blog announced May 19. (And "all without sacrificing quality.") Describe the issue you want and watch as Copilot fills in your issue form... Skip lengthy descriptions — just upload an image with a few words of context.... We hope these changes transform issue creation from a chore into a breeze. But in the GitHub Community discussion, these announcements prompted a request. "Allow us to block Copilot-generated issues (and Pull Requests) from our own repositories." This says to me that GitHub will soon start allowing GitHub users to submit issues which they did not write themselves and were machine-generated. I would consider these issues/PRs to be both a waste of my time and a violation of my projects' code of conduct. Filtering out AI-generated issues/PRs will become an additional burden for me as a maintainer, wasting not only my time, but also the time of the issue submitters (who generated "AI" content I will not respond to), as well as the time of your server (which had to prepare a response I will close without response). As I am not the only person on this website with "AI"-hostile beliefs, the most straightforward way to avoid wasting a lot of effort by literally everyone is if Github allowed accounts/repositories to have a checkbox or something blocking use of built-in Copilot tools on designated repos/all repos on the account. 1,239 GitHub users upvoted the comment — and 125 comments followed. "I have now started migrating repos off of github..." "Disabling AI generated issues on a repository should not only be an option, it should be the default." "I do not want any AI in my life, especially in my code." "I am not against AI necessarily but giving it write-access to most of the world's mission-critical code-bases including building-blocks of the entire web... is an extremely tone-deaf move at this early-stage of AI. " One user complained there was no "visible indication" of the fact that an issue was AI-generated "in either the UI or API." Someone suggested a Copilot-blocking Captcha test to prevent AI-generated slop. Another commenter even suggested naming it "Sloptcha". And after more than 10 days, someone noticed the "Create New Issue" page seemed to no longer have the option to "Save time by creating issues with Copilot." Thanks to long-time Slashdot reader jddj for sharing the news.

Read more of this story at Slashdot.

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OpenBMC 2.18 released on Friday as the newest version of this Linux Foundation project providing an open-source baseboard management controller (BMC) firmware stack implementation. In recent years OpenBMC has been enjoying increasing success in deploying to server platforms from the mega hyperscalers to the more prominent OEM/ODM vendors seeing increasing customer demand for open-source BMC as part of broader open-source firmware interest from the industry...