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From the stranger-things department: A new business model has emerged across China's major cities, El Pais reports, where companies charge unemployed individuals to rent desk space and pretend to work, responding to social pressure around joblessness amid rising youth unemployment rates. These services charge between 30 and 50 yuan ($4-7) daily for desks, Wi-Fi, coffee, and lunch in spaces designed to mimic traditional work environments.
Some operations assign fictitious tasks and organize supervisory rounds to enhance the illusion, while premium services allow clients to roleplay as managers or stage workplace conflicts for additional fees. The trend has gained significant traction on Xiaohongshu, China's equivalent to Instagram, where advertisements for "pretend-to-work companies" accumulate millions of views. Youth unemployment reached 16.5% among 16-to-24-year-olds in March 2025, according to National Bureau of Statistics data, while overall urban unemployment stood at 5.3% in the first quarter.
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From the rise-of-the-machines department: "If the adoption of AI feels different from any tech revolution you may have experienced before — mobile, social, cloud computing — it actually is," writes TechCrunch. They cite a new 340-page report from venture capitalist Mary Meeker that details how AI adoption has outpaced any other tech in human history — and uses the word "unprecedented" on 51 pages:
ChatGPT reaching 800 million users in 17 months: unprecedented. The number of companies and the rate at which so many others are hitting high annual recurring revenue rates: also unprecedented. The speed at which costs of usage are dropping: unprecedented. While the costs of training a model (also unprecedented) is up to $1 billion, inference costs — for example, those paying to use the tech — has already dropped 99% over two years, when calculating cost per 1 million tokens, she writes, citing research from Stanford. The pace at which competitors are matching each other's features, at a fraction of the cost, including open source options, particularly Chinese models: unprecedented...
Meanwhile, chips from Google, like its TPU (tensor processing unit), and Amazon's Trainium, are being developed at scale for their clouds — that's moving quickly, too. "These aren't side projects — they're foundational bets," she writes.
"The one area where AI hasn't outpaced every other tech revolution is in financial returns..." the article points out.
"[T]he jury is still out over which of the current crop of companies will become long-term, profitable, next-generation tech giants."
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From the very-dark-energy department: Adam Riess won a Nobel Prize in Physics for helping discover that the universe's acceleration is expanding, remembers The Atlantic. But then theorists "proposed the existence of dark energy: a faint, repulsive force that pervades all of empty space... the final piece to what has since come to be called the 'standard model of cosmology.'"
Riess thinks instead we should just replace the standard model:
When I visited Riess, back in January, he mentioned he was looking forward to a data release from the Dark Energy Spectroscopic Instrument, a new observatory on Kitt Peak, in Arizona's portion of the Sonoran Desert. DESI has 5,000 robotically controlled optic fibers. Every 20 minutes, each of them locks onto a different galaxy in the deep sky. This process is scheduled to continue for a total of five years, until millions of galaxies have been observed, enough to map cosmic expansion across time... DESI's first release, last year, gave some preliminary hints that dark energy was stronger in the early universe, and that its power then began to fade ever so slightly. On March 19, the team followed up with the larger set of data that Riess was awaiting. It was based on three years of observations, and the signal that it gave was stronger: Dark energy appeared to lose its kick several billion years ago.
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From the getting-to-the-core department: An anonymous reader shared this report from The Hacker News:
Two information disclosure flaws have been identified in apport and systemd-coredump, the core dump handlers in Ubuntu, Red Hat Enterprise Linux, and Fedora, according to the Qualys Threat Research Unit (TRU).
Tracked as CVE-2025-5054 and CVE-2025-4598, both vulnerabilities are race condition bugs that could enable a local attacker to obtain access to access sensitive information. Tools like Apport and systemd-coredump are designed to handle crash reporting and core dumps in Linux systems. "These race conditions allow a local attacker to exploit a SUID program and gain read access to the resulting core dump," Saeed Abbasi, manager of product at Qualys TRU, said...
Red Hat said CVE-2025-4598 has been rated Moderate in severity owing to the high complexity in pulling an exploit for the vulnerability, noting that the attacker has to first win the race condition and be in possession of an unprivileged local account... Qualys has also developed proof-of-concept code for both vulnerabilities, demonstrating how a local attacker can exploit the coredump of a crashed unix_chkpwd process, which is used to verify the validity of a user's password, to obtain password hashes from the /etc/shadow file.
Advisories were also issued by Gentoo, Amazon Linux, and Debian, the article points out. (Though "It's worth noting that Debian systems aren't susceptible to CVE-2025-4598 by default, since they don't include any core dump handler unless the systemd-coredump package is manually installed.")
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From the Who's-on-first department: "The Doctor is dead. Long live the Doctor!" writes Space.com. (Spoilers ahead...)
"The era of Ncuti Gatwa's Fifteenth Doctor came to a surprise end on Saturday night, as the Time Lord regenerated at the end of "Doctor Who" season 2 finale... [T]he Doctor gradually realises that not everything is back to normal. Poppy, his daughter with Belinda Chandra in the "Wish World" fantasy, has been erased from history, so the Time Lord decides to sacrifice himself by firing a ton of regeneration energy into the time Vortex to "jolt it one degree" — and hopefully bring her back. It goes without saying that his madcap scheme saves Poppy, as we learn that, in this rewritten timeline, the little girl was always the reason Belinda had been desperate to get back home. But arguably the biggest talking point of the episode — and, indeed, the season — is saved until last, as the Doctor regenerates into a very familiar face...
Hint: They played the Doctor's companion, Rose Tyler, "alongside Christopher Eccleston's Ninth Doctor and David Tennant's Tenth Doctor during the phenomenally successful first two seasons of the show's 2005 reboot."
Showrunner Russell T Davies called it "an honour and a hoot" to welcome back Billie Piper to the TARDIS, "but quite how and why and who is a story yet to be told. After 62 years, the Doctor's adventures are only just beginning!"
Although the show's post-regeneration credits have traditionally featured the line "And introducing [insert name] as the Doctor", here it simply says "And introducing Billie Piper". The omission of "as the Doctor" is unlikely to be accidental, suggesting that Davies is playing a very elaborate game with "Who" fandom...
Another mystery! The BBC and Disney+ are yet to confirm if and when "Doctor Who" will return for a third season of its current iteration.
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From the spacing-out department: 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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From the vibes-coding department: 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."
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From the commencement-ceremony department: "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.
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From the hard-drives department: "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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From the brain-in-a-pan department: 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.
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Uploading the Human Mind Could One Day Become a Reality, Predicts Neuroscientist 2025-06-01 12:55:02
