Astronomers have identified 27 potential new circumbinary planets -- worlds that orbit two stars, like Star Wars' Tatooine. "To date, only about 18 circumbinary planets ... had been identified in the universe," reports the Guardian. "More than 6,000 planets have been discovered that orbit single stars, like Earth does around the sun." The Guardian reports: In a timely publication for May 4, also known as Star Wars Day, scientists have identified nearly 30 more candidate planets, whose distances range from 650 to 18,000 light years away from Earth. [...] More than half of the stars in the universe exist in binary or multiple star systems. The researchers instead used a method known as "apsidal precession," searching for a wobble between stars that orbit around and eclipse each other.

"If we monitor the exact timing of these eclipses ... that can tell us that there's something else going on in the system," said Margo Thornton, the study's lead author and a PhD candidate at UNSW. After eliminating other factors such as the rotation and gravitational pull of the two stars, the team identified 36 star systems out of 1,590 whose behavior could only be explained by a third body. For "27 of those objects, it is possible that they are planet mass," Thornton said.

More research into their spectra -- the light they emit -- was needed to formally confirm them as circumbinary planets, she said. "It's just a matter of: what is the mass of it? Is it a planet? Is it a brown dwarf? Is it a star?" The team discovered the potential planets -- which likely range from Neptune-sized to ten times heavier than Jupiter -- using data from Nasa's Transiting Exoplanet Survey Satellite, a planet-hunting space telescope that launched in 2018. The research was published in the Monthly Notices of the Royal Astronomical Society.

A new poll shows a slim majority of Swiss voters now support a June 14 referendum to cap the country's population at 10 million by 2050. Under the proposal backed by the right-wing Swiss People's Party (SVP), "the permanent resident population must not exceed 10 million before 2050, and Switzerland should abandon its freedom of movement agreement with the EU," reports Reuters. From the report: Switzerland's population is now more than 9 million, with official data showing foreign nationals accounted for more than 27% by 2024. The survey, conducted on April 22 and 23 and published in newspaper Tages-Anzeiger, showed 52% of 16,176 respondents in favor of the proposal or leaning that way, while 46% took the opposite view. The rest gave no opinion. A previous poll from early March had shown 45% backing the initiative and 47% against it, the newspaper said, flagging the latest result as unusual in that Swiss referendum proposals generally lose support as the voting day comes closer. The poll had a margin of error of plus or minus 3 percentage points.

Tony Isaac shares a report from NPR: Federal survey data shows that the amount of math homework assigned to fourth and eighth grade students, in particular, has been steadily declining for the past decade. Some educators and parents say this is a good thing -- students shouldn't spend six or more hours a day at school and still have additional schoolwork to complete at home. But the research on homework is complicated. Some studies show that students who spend more time on homework perform better than their peers. For example, a longitudinal study released in 2021 of more than 6,000 students in Germany, Uruguay and the Netherlands found that lower-performing students who increased the amount of time they spent on math homework performed better in math, even one year later.

Other studies, however, suggest homework has minimal outcomes on academic performance: A 1998 study of more than 700 U.S. students led by a researcher at Duke University found that more homework assigned in elementary grades had no significant effect on standardized test scores. The researchers did find small positive gains on class grades when they looked at both test scores and the proportion of homework students completed. More homework was also associated with negative attitudes about school for younger children in the study. "The best educators figured out a long time ago that we can control what we can control," and that's what happens during the school day, Superintendent Garrett said, not homework. "There has been a shift away from it naturally anyway, and I felt like this made it equitable across our entire school system." "The best argument for homework is that mathematical procedures require practice, and you don't want to waste classroom time on practice, so you send that home," said Tom Loveless, a researcher and former teacher who has studied homework.

Ariel Taylor Smith, senior director of the Center for Policy and Action at the National Parents Union, said: "The thing they point to is that it's an equity issue, and not all parents have the same availability and ability to support their students. I would make the argument that if a kid is really far behind in school, that's an equity issue. They need the additional time to practice." Kids, she said, "need more practice ... Sometimes, you do have to practice the boring stuff, like math."

"The interesting issue for folks to consider is not should there be more homework, but should there be better homework," said Joyce Epstein, who has studied homework and is the co-director of the Center on School, Family, and Community Partnerships at the Johns Hopkins University School of Education. "Better homework in math might be knowing the fact that kids don't have to be practicing for hours, 10 to 20 examples," when they could establish mastery in less time.

Framework began shipping its new Laptop 13 Pro this week. And the Ubuntu variant is outselling the Windows variant, reports PC World: [I]t's selling quickly by Framework's internal metrics, with six batches of the Intel version of the laptop already sold out. [A later Framework social media post added "Spoke too soon, we're onto Batch 8."]

"Also nice validation of our approach, the Ubuntu configurations are outselling the Windows ones!"

That's not really surprising, for a few reasons. One, if you're buying a Framework laptop, you have a good reason to order it without an OS, even if you want Windows 11. It's easy to get it free or cheap elsewhere. (Framework says it's not counting the "None (bring your own)" option in these Ubuntu numbers.) Two, there are precious few places to order a new laptop with any kind of Linux pre-loaded — you've got Framework, a few smaller vendors like System76 and Slimbook, and a few models from Dell. Lenovo sold Ubuntu-loaded laptops at one point, but I can't find any on the site right now...

Perhaps it doesn't hurt that Microsoft and Windows are currently on a bit of an apology tour. After a couple of years of pushing hard on "AI" features that no one wants — not even the people who do want "AI" want the Copilot flavor — Microsoft is pulling back its integration into everything and now promising features that Windows has been missing ever since Windows 10.
Framework also reports that:

• More than one third of purchasers say they're replacing a MacBook Pro, "and almost all of them are switching to Linux (based on our optional post-purchase survey)."

• "Also in interesting sales data, the Gray/Black keyboard is vastly outselling the traditional Black one!"

MarketWatch looks at "surveillance wages," pay rates "based not on an employee's performance or seniority, but on formulas that use their personal data, often collected without employees' knowledge." According to Nina DiSalvo, policy director at labor advocacy group Towards Justice, some systems use signals associated with financial vulnerability — including data on whether a prospective employee has taken out a payday loan or has a high credit-card balance — to infer the lowest pay a candidate might accept. Companies can also scrape candidates' public personal social-media pages, she said...

A first-of-its-kind audit of 500 labor-management artificial-intelligence companies by Veena Dubal, a law professor at University of California, Irvine, and Wilneida Negrón, a tech strategist, found that employers in the healthcare, customer service, logistics and retail industries are customers of vendors whose tools are designed to enable this practice. Published by the Washington Center for Equitable Growth, a progressive economic think tank, the August 2025 report... does not claim that all employers using these systems engage in algorithmic wage surveillance. Instead, it warns that the growing use of algorithmic tools to analyze workers' personal data can enable pay practices that prioritize cost-cutting over transparency or fairness...

Surveillance wages don't stop at the hiring stage — they follow workers onto the job, too. The vendors that provide such services also offer tools that are built to set bonus or incentive compensation, according to the report. These tools track their productivity, customer interactions and real-time behavior — including, in some cases, audio and video surveillance on the job. Nearly 70% of companies with more than 500 employees were already using employee-monitoring systems in 2022, such as software that monitors computer activity, according to a survey from the International Data Corporation. "The data that they have about you may allow an algorithmic decision system to make assumptions about how much, how big of an incentive, they need to give to a particular worker to generate the behavioral response they seek," DiSalvo said.
The article notes that Colorado introduced the "Prohibit Surveillance Data to Set Prices and Wages Act" to ban companies from setting pay rates with algorithms that use payday-loan history, location data or Google search behavior for algorithmically set.

Thanks to long-time Slashdot reader sinij for sharing the article.

An anonymous reader quotes a report from Ars Technica: When it comes to large language model-powered tools, there are generally two broad categories of users. On one side are those who treat AI as a powerful but sometimes faulty service that needs careful human oversight and review to detect reasoning or factual flaws in responses. On the other side are those who routinely outsource their critical thinking to what they see as an all-knowing machine. Recent research goes a long way to forming a new psychological framework for that second group, which regularly engages in "cognitive surrender" to AI's seemingly authoritative answers. That research also provides some experimental examination of when and why people are willing to outsource their critical thinking to AI, and how factors like time pressure and external incentives can affect that decision.

Overall, across 1,372 participants and over 9,500 individual trials, the researchers found subjects were willing to accept faulty AI reasoning a whopping 73.2 percent of the time, while only overruling it 19.7 percent of the time. The researchers say this "demonstrate[s] that people readily incorporate AI-generated outputs into their decision-making processes, often with minimal friction or skepticism." In general, "fluent, confident outputs [are treated] as epistemically authoritative, lowering the threshold for scrutiny and attenuating the meta-cognitive signals that would ordinarily route a response to deliberation," they write. These kinds of effects weren't uniform across all test subjects, though. Those who scored highly on separate measures of so-called fluid IQ were less likely to rely on the AI for help and were more likely to overrule a faulty AI when it was consulted. Those predisposed to see AI as authoritative in a survey, on the other hand, were much more likely to be led astray by faulty AI-provided answers.

Despite the results, though, the researchers point out that "cognitive surrender is not inherently irrational." While relying on an LLM that's wrong half the time (as in these experiments) has obvious downsides, a "statistically superior system" could plausibly give better-than-human results in domains such as "probabilistic settings, risk assessment, or extensive data," the researchers suggest. "As reliance increases, performance tracks AI quality," the researchers write, "rising when accurate and falling when faulty, illustrating the promises of superintelligence and exposing a structural vulnerability of cognitive surrender." In other words, letting an AI do your reasoning means your reasoning is only ever going to be as good as that AI system. As always, let the prompter beware.

Many U.S. consumers are increasingly interested in lower-cost Chinese electric vehicles but steep tariffs and political resistance are keeping them out of the market. A recent survey from Cox Automotive found that 40% of respondents support allowing Chinese auto brands into the U.S. market. Reuters reports: While Chinese autos hit the highways of Europe, Latin America and even Canada, the U.S. government has effectively banned the cars with tariffs exceeding 100%, out of concerns over data security and protecting American jobs. In places like Europe, a number of Chinese EVs sell at prices under $30,000. Some of those cars include amenities like advanced driving assistance software, a built-in mini fridge, and the option to sing karaoke with your fellow passengers. "The technology they offer for those lower price tags was astounding," said Clint Simone, senior features editor for car-shopping website Edmunds, who drove several Chinese vehicles while at the CES trade show earlier this year. [...]

Consumers have some concerns over allowing Chinese car imports, though, including over data security and protecting U.S. businesses, survey results from The Harris Poll as well as Cox show. Rhett Ricart, an Ohio car dealer who sells several brands, including Ford, Chevrolet and Hyundai, said he has no doubt customers would snap up Chinese models if they became available. He and other dealers don't want that to happen yet, according to a recent Cox Automotive survey, which found that just 15% of dealers supported the entry of Chinese auto brands into the U.S., and just 26% trust that they would comply with U.S. safety standards.

Not meeting U.S. safety standards is one reason Chinese EVs cannot yet be owned permanently in the U.S. But those obstacles haven't quieted the buzz. The Cox survey polled 802 U.S. consumers who expect to buy a car in the next two years. Nearly half -- 49% -- rated Chinese cars as having very good or excellent value, and 40% say they support the idea of Chinese auto brands in the U.S. market. Rich Benoit, a car enthusiast whose YouTube videos reviewing Chinese models garner millions of views, said the most compelling feature is the price. "That's what a lot of people are looking for: efficient, quiet and low cost," he said. "They want to 'get to work-- not everyone is a car enthusiast." He's considering buying a BYD model in Mexico and driving it across the border. "That's the only way to get one," Benoit said. "They've been selling in Mexico for years... "I want to own a Chinese EV in America."

A Pew Research Center survey found that only 53% of U.S. adults went to a movie theater in the past year, while 7% said they've never seen a movie in a theater at all. "The findings reflected a domestic box office still fighting to regain its footing since the COVID-19 pandemic, when ticket sales collapsed 81% in 2020 due to theater closures," reports Variety. From the report: In 2025, moviegoers in the U.S. and Canada bought 769.2 million tickets, less than half of the all-time peak of roughly 1.6 billion tickets sold in 2002, according to data from Nash Information Services. However, an August 2025 study field by NRG/National Research Group showed that 77% of Americans ages 12-74 went to see at least one movie in a theater in the previous 12 months.

Box office revenue peaked at an inflation-adjusted $16.4 billion in 2002, and annual ticket revenue held relatively steady through the 2000s and 2010s before falling to under $3 billion in 2020 when theaters closed for months. Last year, U.S. theaters sold just over $9 billion worth of tickets, per media analytics firm Comscore. The number represents a recovery, but nowhere near a full one, as ticket sales have been lagging around 20% below pre-pandemic levels.

"In November Steam on Linux use hit an all-time high of 3.2%," reports Phoronix. And then in December Steam on Linux jumped even higher, to 3.58%.

But January's numbers settled a little lower, at 3.38%. And last Monday the February numbers were released, showing Steam on Linux at... 2.23%? Like with prior times where there are wild drops in Linux use, the Steam Survey shows Simplified Chinese use running up by 30% month over month. Whenever there is such significant differences in language use tends to be a reporting anomaly and negatively impacting Linux. Valve often puts out corrected/updated figures later on, so we'll see if that is again the case for this February data.

Has the rise of hyper-addictive digital technologies really shattered our attention spans and driven books out of our culture? Maybe not, argues social psychologist Adam Mastroianni (author of the Substack Experimental History): As a psychologist, I used to study claims like these for a living, so I know that the mind is primed to believe narratives of decline. We have a much lower standard of evidence for "bad thing go up" than we do for "bad thing go down." Unsurprisingly, then, stories about the end of reading tend to leave out some inconvenient data points. For example, book sales were higher in 2025 than they were in 2019, and only a bit below their high point in the pandemic. Independent bookstores are booming, not busting; at least 422 new indie shops opened in the United States last year alone. Even Barnes & Noble is cool again.

The actual data on reading, meanwhile, isn't as apocalyptic as the headlines imply. Gallup surveys suggest that some mega-readers (11+ books per year) have become moderate readers (1-5 books per year), but they don't find any other major trends over the past three decades. Other surveys document similarly moderate declines. For instance, data from the National Endowment for the Arts finds a slight decrease in the percentage of U.S. adults who read any book in 2022 (49%) compared to 2012 (55%). And the American Time Use Survey shows a dip in reading time from 2003 to 2023. Ultimately, the plausibility of the "death of reading" thesis depends on two judgment calls. First, do these effects strike you as big or small...? The second judgment call: Do you expect these trends to continue, plateau, or even reverse...?

There are signs that the digital invasion of our attention is beginning to stall. We seem to have passed peak social media — time spent on the apps has started to slide. App developers are finding it harder and harder to squeeze more attention out of our eyeballs, and it turns out that having your eyeballs squeezed hurts, so people aren't sticking around for it... Fact #2: Reading has already survived several major incursions, which suggests it's more appealing than we thought. Radio, TV, dial-up, Wi-Fi, TikTok — none of it has been enough to snuff out the human desire to point our pupils at words on paper... It is remarkable, even miraculous, that people who possess the most addictive devices ever invented will occasionally choose to turn those devices off and pick up a book instead.
The author mocks the "death of reading" hypothesis for implying that all the world's avid readers "were just filling time with great works of literature until TikTok came along."

Global hiring remains 20% below pre-pandemic levels and job switching has hit a 10-year low, according to a LinkedIn report, and new university graduates are bearing the brunt of a labor market that increasingly favors experienced candidates over fresh talent.

In the UK, the Institute of Student Employers found that graduate hiring fell 8% in the last academic year and employers now receive 140 applications for each vacancy, up from 86 per vacancy in 2022-23. US data from the New York Federal Reserve shows unemployment among recent college graduates aged 22-27 stands at 5.8% versus 4.1% for all workers.

Recruiter Reed had 180,000 graduate job postings in 2021 but only 55,000 in 2024. In a survey of Reed clients last year, 15% said they had reduced hiring because of AI. London mayor Sadiq Khan said the capital will be "at the sharpest edge" of AI-driven changes and that entry-level jobs will be first to go.

New research from Cornell University has tracked how households change their spending after someone starts taking GLP-1 medications like Ozempic and Wegovy, and the numbers are material enough to explain why food industry earnings calls keep blaming everything except the obvious culprit.

The study analyzed transaction data from 150,000 households linked to survey responses on medication adoption. Households cut grocery spending by 5.3% within six months of a member starting GLP-1s; high-income households cut by 8.2%. Fast food spending fell 8.0%. Savory snacks took the biggest hit at 10.1%, followed by sweets and baked goods. Yogurt was the only category to see a statistically significant increase.

As of July 2024, 16.3% of U.S. households had at least one GLP-1 user. Nearly half of adopters reported taking the medication specifically for weight loss rather than diabetes management. About 34% of users discontinue within the sample period, and when they stop, candy and chocolate purchases rise 11.4% above pre-adoption levels.

Further reading: Weighing the Cost of Smaller Appetites.

Electric vehicles are more likely to be fixed at the roadside than petrol or diesel cars despite public fears to the contrary, according to new breakdown data from the AA. From a report: New research from Autotrader and the AA, carried out in December among more than 2,000 consumers, found 44% of respondents are concerned about the risk of breakdowns or roadside repairs when considering switching to an EV. Concern was highest among drivers aged 75 and over, with 56% saying they were worried.

The North East recorded the highest level of concern at 52%, while women were slightly more likely to express reservations than men - 46% versus 41%. Even so, AA call-out data indicates EVs are more likely to be successfully repaired at the roadside than a 12-volt battery in a petrol or diesel car.

Separately, industry data continues to indicate growing readiness to service electric cars. A recent Society of Motor Manufacturers and Traders (SMMT) survey of aftermarket businesses found 81.2% of UK workshops are already equipped to work on EVs, according to the campaign partners.

A year ago the Steam Survey showed a 2.29% marketshare for Linux. Last May it reached 2.69%, its highest level since 2018. November saw another all-time high of 3.2%.

But December brought a surprise, reports Phoronix: Back on the 1st Valve published the Steam Survey results for December 2025 and they put the Linux gaming marketshare at 3.19%, a 0.01% dip from November. But now the December results have been revised... [and] put the Linux marketshare at 3.58%, a 0.38% increase over November. Valve didn't publish any explanation for the revision but occasionally they do put out monthly revised data. This is easily an all-time high... both in percentage terms and surely in absolute terms too.

Remember that re-discovered computer tape with one of the earliest versions of Unix from the early 1970s? This week several local news outlets in Utah reported on the find, with KSL creating a video report with shots of the tape arriving at Silicon Valley's Computer History Museum, the closet where it was found, and even its handwritten label.

The Salt Lake Tribune reports that the closet where it was found also contained "old cords from unknown sources and mountains of papers that had been dumped from a former professor's file cabinet, including old drawings from his kids and saved plane ticket stubs." (Their report also includes a photo of the University of Utah team that found the tape — the University's Flux Research Group).

Professor Robert Ricci believes only 20 copies were ever produced of the version of Unix on that tape: At the time, in the 1970s, Ricci estimates there would have been maybe two or three of those computers — called a PDP-11, or programmed data processor — in Utah that could have run UNIX V4, including the one at the U. Having that technology is part of why he believes the U. got a copy of the rare software. The other part was the distinguished computing faculty at the school.

The new UNIX operating system would've been announced at conferences in the early 1970s, and a U. professor at the time named Martin Newell frequently attended those because of his own recognized work in the field, Ricci said. In another box, stuffed in under manila envelopes, [researcher Aleks] Maricq found a 1974 letter written to Newell from Ken Thompson at Bell Labs that said as soon as "a new batch comes from the printers, I will send you the system." Ricci and Maricq are unsure if the software was ever used. They reached out to Newell, who is now 72 and retired, as well as some of his former students. None of them recalled actually running it through the PDP-11...

The late Jay Lepreau also worked at the U.'s computing department and created the Flux Research Group that Ricci, Maricq and [engineering research associate Jon] Duerig are now part of. Lepreau overlapped just barely with Newell's tenure. In 1978, Lepreau and a team at the U. worked with a group at the University of California, Berkeley. Together, they built their own clone of the UNIX operating system. They called it BSD, or Berkeley Standard Distribution. Steve Jobs, the former CEO of Apple, worked with BSD, too, and it influenced his work.

Ultimately, it was Lepreau who saved the 9-track tape with the UNIX system on it in his U. office. And he's why the university still has it today. "He seems to have found it and decided it was worth keeping," Ricci said...

The U. will also get the tape back from the museum. Maricq said it will likely be displayed in the university's new engineering building that's set to open in January 2027. That's why, the research associate said, he was cleaning out the storage room to begin with — to try to prepare for the move. He was mostly just excited to see the floor again. "I thought we'd find some old stuff, but I didn't think it'd be anything like this," he said. And Maricq still has boxes to go through, including more believed to be from Lepreau's office.
Local news station KMYU captured the thoughts of some of the University researchers who found the tape: "When you see the very first beginnings of something, and you go from seed to sapling, that's what we saw here," [engineering research associate Jon] Duerig said. "We see this thing in the moment of flux. We see the signs of all the things changing — of all the things developing that we now see today."
Duerig also gave this comment to local news station KSL. "The coolest thing is that anybody, anywhere in the world can now access this, right? People can go on the internet archive and download the raw tape file and simulate running it," Duerig said. "People have posted browsable directory trees of the whole thing." One of the museum's directors said the tape's recovery marked a big day for the museum "One of the things that was pretty exciting to us is that just that there is this huge community of people around the world who were excited to jump on the opportunity to look at this piece of history," Ricci said. "And it was really cool that we were able to share that."

Duerig said while there weren't many comments or footnotes from the programmers of that time, they did discovery more unexpected content having to do with Bell Labs on the tape. "There were survey results of them actually asking survey questions of their employees at these operator centers," he said.
Thanks to long-time Slashdot reader walterbyrd for sharing the news.

A new study "compared how well top AI systems and human workers did at hundreds of real work assignments," reports the Washington Post.

They add that at least one example "illustrates a disconnect three years after the release of ChatGPT that has implications for the whole economy." AI can accomplish many impressive tasks involving computer code, documents or images. That has prompted predictions that human work of many kinds could soon be done by computers alone. Bentley University and Gallup found in a survey [PDF] last year that about three-quarters of Americans expect AI to reduce the number of U.S. jobs over the next decade. But economic data shows the technology largely has not replaced workers.

To understand what work AI can do on its own today, researchers collected hundreds of examples of projects posted on freelancing platforms that humans had been paid to complete. They included tasks such as making 3D product animations, transcribing music, coding web video games and formatting research papers for publication. The research team then gave each task to AI systems such as OpenAI's ChatGPT, Google's Gemini and Anthropic's Claude. The best-performing AI system successfully completed only 2.5 percent of the projects, according to the research team from Scale AI, a start-up that provides data to AI developers, and the Center for AI Safety, a nonprofit that works to understand risks from AI. "Current models are not close to being able to automate real jobs in the economy," said Jason Hausenloy, one of the researchers on the Remote Labor Index study...

The results, which show how AI systems fall short, challenge predictions that the technology is poised to soon replace large portions of the workforce... The AI systems failed on nearly half of the Remote Labor Index projects by producing poor-quality work, and they left more than a third incomplete. Nearly 1 in 5 had basic technical problems such as producing corrupt files, the researchers found.
One test involved creating an interactive dashboard for data from the World Happiness Report, according to the article. "At first glance, the AI results look adequate. But closer examination reveals errors, such as countries inexplicably missing data, overlapping text and legends that use the wrong colors — or no colors at all."

The researchers say AI systems are hobbled by a lack of memory, and are also weak on "visual" understanding.

More than a decade after Malaysia Airlines flight MH370 vanished over the Indian Ocean en route from Kuala Lumpur to Beijing, the marine robotics company that located Sir Ernest Shackleton's Endurance is preparing to resume its hunt for the missing Boeing 777. Ocean Infinity, a UK and US-based seabed survey firm, began searching a 15,000 sq km priority area in the Indian Ocean in February but called off the expedition in April after 22 days due to poor weather conditions.

The company plans to resume operations on December 30 for 55 days under a $70 million "no find, no fee" contract from the Malaysian government. The company has already covered nearly 10,000 sq km and intends to search another 25,000 sq km. Richard Godfrey, an independent aviation investigator, estimates Ocean Infinity has spent "tens of millions of dollars" on ships and equipment. "I don't think they're in this for the monetary reward of $70m, because this search is very, very expensive," Godfrey says. "I think they're in this for the achievement and their ability to market themselves as the greatest underwater-search firm in the world because they found MH370."

The search relies on Hugin 6000 autonomous underwater vehicles capable of mapping the ocean floor at depths up to 6,000 metres using sonar, laser, and acoustic technology. Each AUV can operate independently for 100 hours before surfacing. The machines carry magnetometers that can detect metal buried under several metres of sediment. The story adds: One of the biggest challenges Ocean Infinity faces is the risk of being very close to the MH370 wreckage and missing it because of difficult terrain or gaps in the survey data.

The 2011 meltdown at Fukushima's nuclear plant "was the world's worst nuclear disaster since Chernobyl in 1986," CNN remembers.

But this week Japanese authorities "have approved a decision to restart the world's biggest nuclear power plant," reports CNN, "which has sat dormant for more than a decade following the Fukushima nuclear disaster."

Despite nerves from many local residents, the Niigata prefectural assembly, home to the Kashiwazaki-Kariwa plant, approved a bill on Monday that clears the way for utility company Tokyo Electric Power Company (TEPCO) to restart one of the plant's seven reactors. The company plans to bring the No. 6 reactor back online around January 20, Japan's public broadcaster NHK reported...

Following the [2011] disaster, Japan shut down all 54 of its nuclear power stations including Kashiwazaki-Kariwa, which sits in the coastal and port region of Niigata about 320 kilometers (200 miles) north of Tokyo on Japan's main island of Honshu. Japan has since restarted 14 of the 33 nuclear reactors that remain operable, according to the World Nuclear Association. The Niigata plant will be the first to reopen under the operation of TEPCO, the company that ran the Fukushima Daiichi power station. It has been trying to reassure residents of the restart plan is safe...

About 60-70% of Japan's power generation comes from imported fossil fuels, which cost the country about 10.7 trillion yen ($68 billion) last year alone... Japan is the world's fifth-largest emitter of carbon dioxide, after China, the United States, India and Russia, according to the International Energy Agency. But it has committed to reaching net zero emissions by 2050, and renewable energy was at the center of its latest energy plan published earlier this year, with a push for greater investments in solar and wind. The country's energy demands are also expected to increase in the coming years due to a boom in energy-hungry data centers that power AI infrastructure. To achieve its energy and climate goals, Japan aims to double the share of nuclear power in its electricity mix to 20% by 2040...

On its website, TEPCO said Kashiwazaki-Kariwa had undergone multiple inspections and upgrades and that the company had learned "the lessons of Fukushima." The company said new seawalls and watertight doors would provide "stronger protection against tsunamis" and that mobile generators and more fire trucks would be on hand for "cooling support" in an emergency. It also said the plant now had "upgraded filtering systems designed to control the spread of radioactive materials."
A survey published by the prefecture in October "found 60% of residents did not think conditions for the restart had been met," reports Reuters, adding that "Nearly 70% were worried about TEPCO operating the plant."

One developer tells MIT Technology Review that AI tools weaken the coding instincts he used to have. And beyond that, "It's just not fun sitting there with my work being done for me."

But is AI making coders faster? "After speaking to more than 30 developers, technology executives, analysts, and researchers, MIT Technology Review found that the picture is not as straightforward as it might seem..." For some developers on the front lines, initial enthusiasm is waning as they bump up against the technology's limitations. And as a growing body of research suggests that the claimed productivity gains may be illusory, some are questioning whether the emperor is wearing any clothes.... Data from the developer analytics firm GitClear shows that most engineers are producing roughly 10% more durable code — code that isn't deleted or rewritten within weeks — since 2022, likely thanks to AI. But that gain has come with sharp declines in several measures of code quality. Stack Overflow's survey also found trust and positive sentiment toward AI tools falling significantly for the first time. And most provocatively, a July study by the nonprofit research organization Model Evaluation & Threat Research (METR) showed that while experienced developers believed AI made them 20% faster, objective tests showed they were actually 19% slower...

Developers interviewed by MIT Technology Review generally agree on where AI tools excel: producing "boilerplate code" (reusable chunks of code repeated in multiple places with little modification), writing tests, fixing bugs, and explaining unfamiliar code to new developers. Several noted that AI helps overcome the "blank page problem" by offering an imperfect first stab to get a developer's creative juices flowing. It can also let nontechnical colleagues quickly prototype software features, easing the load on already overworked engineers. These tasks can be tedious, and developers are typically glad to hand them off. But they represent only a small part of an experienced engineer's workload. For the more complex problems where engineers really earn their bread, many developers told MIT Technology Review, the tools face significant hurdles...

The models also just get things wrong. Like all LLMs, coding models are prone to "hallucinating" — it's an issue built into how they work. But because the code they output looks so polished, errors can be difficult to detect, says James Liu, director of software engineering at the advertising technology company Mediaocean. Put all these flaws together, and using these tools can feel a lot like pulling a lever on a one-armed bandit. "Some projects you get a 20x improvement in terms of speed or efficiency," says Liu. "On other things, it just falls flat on its face, and you spend all this time trying to coax it into granting you the wish that you wanted and it's just not going to..." There are also more specific security concerns, she says. Researchers have discovered a worrying class of hallucinations where models reference nonexistent software packages in their code. Attackers can exploit this by creating packages with those names that harbor vulnerabilities, which the model or developer may then unwittingly incorporate into software.
Other key points from the article:

• LLMs can only hold limited amounts of information in context windows, so "they struggle to parse large code bases and are prone to forgetting what they're doing on longer tasks."

• "While an LLM-generated response to a problem may work in isolation, software is made up of hundreds of interconnected modules. If these aren't built with consideration for other parts of the software, it can quickly lead to a tangled, inconsistent code base that's hard for humans to parse and, more important, to maintain."

• "Accumulating technical debt is inevitable in most projects, but AI tools make it much easier for time-pressured engineers to cut corners, says GitClear's Harding. And GitClear's data suggests this is happening at scale..."

• "As models improve, the code they produce is becoming increasingly verbose and complex, says Tariq Shaukat, CEO of Sonar, which makes tools for checking code quality. This is driving down the number of obvious bugs and security vulnerabilities, he says, but at the cost of increasing the number of 'code smells' — harder-to-pinpoint flaws that lead to maintenance problems and technical debt."

Yet the article cites a recent Stanford University study that found employment among software developers aged 22 to 25 dropped nearly 20% between 2022 and 2025, "coinciding with the rise of AI-powered coding tools."

The story is part of MIT Technology Review's new Hype Correction series of articles about AI.

"Super PAC aims to drown out AI critics in midterms," the Washington Post reported in August, noting its intial funding over $100 million from "some of Silicon Valley's most powerful investors and executives" including OpenAI president Greg Brockman, his wife, and VC firm Andreessen Horowitz. The group's goal was "to quash a philosophical debate that has divided the tech industry on the risk of artificial intelligence overpowering humanity," according to the article — and to support "pro-AI" candidates in America's next election in November of 2026 and "oppose candidates perceived as slowing down AI development."

Their first target? State assemblyman Alex Bores, now running to be a U.S. representative. While in the state legislature Bores sponsored a bill that would "require large AI companies to publish safety data on their technology," notes the Washington Post. So the attack ad charges that Bores "wants Albany bureaucrats regulating AI," excoriating him for sponsoring a bill that "hands AI to state regulators and creates a chaotic patchwork of state rules that would crush innovation, cost New York jobs, and fail to keep people safe! And he's backed by groups funded by convicted felon Sam Bankman-Fried. Is that really who should be shaping AI safety for our kids? America needs one smart national policy that sets clear stands for safe AI not Albany politicians like Alex Bores."

The Post calls it "the opening skirmish in a battle set to play out across the country" as tech moguls (and an independent effort receiving "tens of millions" from Meta) "try to use the 2026 midterms to reengineer Congress and state legislatures in favor of their ambitions for artificial intelligence" and "to wrest control of the narrative around AI, just as politicians in both parties have started warning that the industry is moving too fast." By knocking down candidates such as Bores, who favor regulations, and boosting industry sympathizers, the tech-backed groups could signal to incumbents and candidates nationwide that opposing the tech industry can jeopardize their electoral chances. "Bores just happened to be first, but he's not the last, and he's certainly not the only," said Josh Vlasto, co-head of Leading the Future, the bipartisan super PAC behind the ad.

The group plans to support and oppose candidates in congressional and state elections next year. It will also fund rapid response operations against voices in the industry pushing for more oversight... The strategy aims to replicate the success of the cryptocurrency industry, which used a super PAC to clear a path for Congress this summer to boost the sector's fortunes with the passage of the Genius Act... But signs that voters are increasingly wary of AI suggest that approach may be challenging to replicate. More than half of Americans believe AI poses a high risk to society, Pew Research Center found in a June survey. As AI usage continues to grow, more people are being warned by chief executives that AI will disrupt their jobs, seeing power-hungry data centers spring up in their towns or hearing claims that chatbots can harm mental health.
The article also notes there's at least two other groups seeking to counter this pro-AI push, raising money through a nonprofit called "Public First."

CNN calls the new pro-AI ads "a likely preview of the vast amounts of money the technology industry could spend ahead of next year's elections," noting that the ads are first targeting the candidate-choosing primary elections