An anonymous reader shared this report from Engadget:

If you received a bunch of password reset requests from Instagram recently, you’re not alone. As reported by Malwarebytes, an antivirus software company, there was a data breach revealing the “sensitive information” of 17.5 million Instagram users. Malwarebytes added that the leak included Instagram usernames, physical addresses, phone numbers, email addresses and more.

The company added that the “data is available for sale on the dark web and can be abused by cybercriminals.” Malwarebytes noted in an email to its customers that it discovered the breach during its routine dark web scan and that it’s tied to a potential incident related to an Instagram API exposure from 2024.

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“China recently placed a supercritical carbon dioxide power generator into commercial operation,” writes CleanTechnica, “and the announcement was widely framed as a technological breakthrough.”

The system, referred to as Chaotan One, is installed at a steel plant in Guizhou province in mountainous southwest China and is designed to recover industrial waste heat and convert it into electricity. Each unit is reported to be rated at roughly 15 MW, with public statements describing configurations totaling around 30 MW. Claimed efficiency improvements range from 20% to more than 30% higher heat to power conversion compared with conventional steam based waste heat recovery systems. These are big numbers, typical of claims for this type of generator, and they deserve serious attention.

China doing something first, however, has never been a reliable indicator that the thing will prove durable, economic, or widely replicable. China is large enough to try almost everything. It routinely builds first of a kind systems precisely because it can afford to learn by doing, discarding what does not work and scaling what does. This approach is often described inside China as crossing the river by feeling for stones. It produces valuable learning, but it also produces many dead ends. The question raised by the supercritical CO2 deployment is not whether China is capable of building it, but whether the technology is likely to hold up under real operating conditions for long enough to justify broad adoption.

A more skeptical reading is warranted because Western advocates of specific technologies routinely point to China’s limited deployments as evidence that their preferred technologies are viable, when the scale of those deployments actually argues the opposite. China has built a single small modular reactor and a single experimental molten salt reactor, not fleets of them, despite having the capital, supply chains, and regulatory capacity to do so if they made economic sense… If small modular reactors or hydrogen transportation actually worked at scale and cost, China would already be building many more of them, and the fact that it is not should be taken seriously rather than pointing to very small numbers of trials compared to China’s very large denominators…

What is notably absent from publicly available information is detailed disclosure of materials, operating margins, impurity controls, and maintenance assumptions. This is not unusual for early commercial deployments in China. It does mean that external observers cannot independently assess long term durability claims.

The article notes America’s Energy Department funded a carbon dioxide turbine in Texas rated at roughly 10 MW electric that “reached initial power generation in 2024 after several years of construction and commissioning.” But for both these efforts, the article warns that “early efficiency claims should be treated as provisional. A system that starts at 15 MW and delivers 13 MW after several years with rising maintenance costs is not a breakthrough. It is an expensive way to recover waste heat compared with mature steam based alternatives that already operate for decades with predictable degradation…”

“If both the Chinese and U.S. installations run for five years without significant reductions in performance and without high maintenance costs, I will be surprised. In that case, it would be worth revisiting this assessment and potentially changing my mind.”

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

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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 Deviation. 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.

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Scifi author/tech activist Cory Doctorow has decried the “enshittification” of our technologies to extract more profit. But Saturday he also described what could be “the beginning of the end for enshittification” in a new article for the Guardian — “our chance to make tech good again”.

There is only one reason the world isn’t bursting with wildly profitable products and projects that disenshittify the US’s defective products: its (former) trading partners were bullied into passing an “anti-circumvention” law that bans the kind of reverse-engineering that is the necessary prelude to modifying an existing product to make it work better for its users (at the expense of its manufacturer)…

Post-Brexit, the UK is uniquely able to seize this moment. Unlike our European cousins, we needn’t wait for the copyright directive to be repealed before we can strike article 6 off our own law books and thereby salvage something good out of Brexit… Until we repeal the anti-circumvention law, we can’t reverse-engineer the US’s cloud software, whether it’s a database, a word processor or a tractor, in order to swap out proprietary, American code for robust, open, auditable alternatives that will safeguard our digital sovereignty. The same goes for any technology tethered to servers operated by any government that might have interests adverse to ours — say, the solar inverters and batteries we buy from China.

This is the state of play at the dawn of 2026. The digital rights movement has two powerful potential coalition partners in the fight to reclaim the right of people to change how their devices work, to claw back privacy and a fair deal from tech: investors and national security hawks. Admittedly, the door is only open a crack, but it’s been locked tight since the turn of the century. When it comes to a better technology future, “open a crack” is the most exciting proposition I’ve heard in decades.
Thanks to Slashdot reader Bruce66423 for sharing the article.

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Since 2018, a group of researchers from around the world has crunched the numbers on how much heat the world’s oceans are absorbing each year. In 2025, their measurements broke records once again, making this the eighth year in a row that the world’s oceans have absorbed more heat than in the years before.

The study, which was published Friday in the journal Advances in Atmospheric Science, found that the world’s oceans absorbed an additional 23 zettajoules’ worth of heat in 2025, the most in any year since modern measurements began in the 1960s. That’s significantly higher than the 16 additional zettajoules they absorbed in 2024. The research comes from a team of more than 50 scientists across the United States, Europe, and China.

A joule is a common way to measure energy. A single joule is a relatively small unit of measurement—it’s about enough to power a tiny lightbulb for a second, or slightly heat a gram of water. But a zettajoule is one sextillion joules; numerically, the 23 zettajoules the oceans absorbed this year can be written out as 23,000,000,000,000,000,000,000.

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For a quarter century, the TIOBE Index has attempted to rank the popularity of programming languages by the number of search engine results they bring up — and this week they had an announcement.

Over the last year the language showing the largest increase in its share of TIOBE’s results was C#.

TIOBE founder/CEO Paul Jansen looks back at how C++ evolved:

From a language-design perspective, C# has often been an early adopter of new trends among mainstream languages. At the same time, it successfully made two major paradigm shifts: from Windows-only to cross-platform, and from Microsoft-owned to open source. C# has consistently evolved at the right moment.

For many years now, there has been a direct battle between Java and C# for dominance in the business software market. I always assumed Java would eventually prevail, but after all this time the contest remains undecided. It is an open question whether Java — with its verbose, boilerplate-heavy style and Oracle ownership — can continue to keep C# at bay.

While C# remains stuck in the same #5 position it was in a year ago, its share of TIOBE’s results rose 2.94% — the largest increase of the 100 languages in their rankngs.

But TIOBE’s CEO notes that his rankings for the top 10 highest-scoring languages delivered “some interesting movements” in 2025:

C and C++ swapped positions. [C rose to the #2 position — behind Python — while C++ dropped from #2 to the #4 rank that C held in January of 2025]. Although C++ is evolving faster than ever, some of its more radical changes — such as the modules concept — have yet to see widespread industry adoption. Meanwhile, C remains simple, fast, and extremely well suited to the ever-growing market of small embedded systems. Even Rust has struggled to penetrate this space, despite reaching an all-time high of position #13 this month.

So who were the other winners of 2025, besides C#? Perl made a surprising comeback, jumping from position #32 to #11 and re-entering the top 20. Another language returning to the top 10 is R, driven largely by continued growth in data science and statistical computing.
Of course, where there are winners, there are also losers. Go appears to have permanently lost its place in the top 10 during 2025. The same seems true for Ruby, which fell out of the top 20 and is unlikely to return anytime soon.
What can we expect from 2026? I have a long history of making incorrect predictions, but I suspect that TypeScript will finally break into the top 20. Additionally, Zig, which climbed from position #61 to #42 in 2025, looks like a strong candidate to enter the TIOBE top 30.
Here’s how TIOBE estimated the 10 most popularity programming languages at the end of 2025

PythonCJavaC++C#JavaScriptVisual BasicSQLDelphi/Object PascalR

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“We will make the new ð algorithm…open source in 7 days,” Elon Musk posted Saturday on X.com. Musk says this is “including all code used to determine what organic and advertising posts are recommended to users,” and “This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed.”

Some context from Engadget:

Musk has been making promises of open-sourcing the algorithm since his takeover of Twitter, and in 2023 published the code for the site’s “For You” feed on GitHub. But the code wasn’t all that revealing, leaving out key details, according to analyses at the time. And it hasn’t been kept up to date.

Bloomberg also reported on Saturday’s announcement:

The billionaire didn’t say why X was making its algorithm open source. He and the company have clashed several times with regulators over content being shown to users.

Some X users had previously complained that they were receiving fewer posts on the social media platform from people they follow. In October, Musk confirmed in a post on X that the company had found a “significant bug” in the platform’s “For You” algorithm and pledged a fix. The company has also been working to incorporate more artificial intelligence into its recommendation algorithm for X, using Grok, Musk’s artificial intelligence chatbot…

In September, Musk wrote that the goal was for X’s recommendation engine to “be purely AI” and that the company would share its open source algorithm about every two weeks. “To the degree that people are seeing improvements in their feed, it is not due to the actions of specific individuals changing heuristics, but rather increasing use of Grok and other AI tools,” Musk wrote in October. The company was working to have all of the more than 100 million daily posts published to X evaluated by Grok, which would then offer individual users the posts most likely to interest them, Musk wrote. “This will profoundly improve the quality of your feed.” He added that the company was planning to roll out the new features by November.

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An R&D lab under America’s Energy Department annnounced this week that “Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.”

Phys.org publishes the announcement from Sandia National Lab:

In a paper published in Nature Machine Intelligence, Sandia National Laboratories computational neuroscientists Brad Theilman and Brad Aimone describe a novel algorithm that enables neuromorphic hardware to tackle partial differential equations, or PDEs — the mathematical foundation for modeling phenomena such as fluid dynamics, electromagnetic fields and structural mechanics. The findings show that neuromorphic computing can not only handle these equations, but do so with remarkable efficiency. The work could pave the way for the world’s first neuromorphic supercomputer, potentially revolutionizing energy-efficient computing for national security applications and beyond…

“We’re just starting to have computational systems that can exhibit intelligent-like behavior. But they look nothing like the brain, and the amount of resources that they require is ridiculous, frankly,” Theilman said.For decades, experts have believed that neuromorphic computers were best suited for tasks like recognizing patterns or accelerating artificial neural networks. These systems weren’t expected to excel at solving rigorous mathematical problems like PDEs, which are typically tackled by traditional supercomputers. But for Aimone and Theilman, the results weren’t surprising. The researchers believe the brain itself performs complex computations constantly, even if we don’t consciously realize it. “Pick any sort of motor control task — like hitting a tennis ball or swinging a bat at a baseball,” Aimone said. “These are very sophisticated computations. They are exascale-level problems that our brains are capable of doing very cheaply…”

Their research also raises intriguing questions about the nature of intelligence and computation. The algorithm developed by Theilman and Aimone retains strong similarities to the structure and dynamics of cortical networks in the brain. “We based our circuit on a relatively well-known model in the computational neuroscience world,” Theilman said. “We’ve shown the model has a natural but non-obvious link to PDEs, and that link hasn’t been made until now — 12 years after the model was introduced.” The researchers believe that neuromorphic computing could help bridge the gap between neuroscience and applied mathematics, offering new insights into how the brain processes information. “Diseases of the brain could be diseases of computation,” Aimone said. “But we don’t have a solid grasp on how the brain performs computations yet.” If their hunch is correct, neuromorphic computing could offer clues to better understand and treat neurological conditions like Alzheimer’s and Parkinson’s.

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