BrianFagioli shares a report from NERDS.xyz: An international team of scientists has done something chemistry has never seen before. IBM, working alongside researchers from the University of Manchester, Oxford University, ETH Zurich, EPFL, and the University of Regensburg, has created and characterized a molecule whose electrons travel through its structure in a corkscrew-like pattern, fundamentally altering its chemical behavior. The findings were published today in Science. The molecule, known as C13Cl2, is the first experimental observation of what scientists call a half-Mobius electronic topology in a single molecule. To the researchers' knowledge, nothing like it has ever been synthesized, observed, or even formally predicted. And proving why it behaves the way it does required something equally extraordinary -- a quantum computer.

The whole thing started at IBM, where the molecule was assembled atom by atom from a custom precursor synthesized at Oxford. Working under ultra-high vacuum at near-absolute-zero temperatures, researchers used precisely calibrated voltage pulses to remove individual atoms one at a time. The result is an electronic structure that undergoes a 90-degree twist with each circuit through the molecule, requiring four complete loops to return to its starting phase. That is a topological property that has no counterpart anywhere in chemistry's existing record. What makes it even more interesting to folks who follow materials science is that this topology can be switched. The molecule can move reversibly between clockwise-twisted, counterclockwise-twisted, and untwisted states. That means electronic topology is not just a curiosity to be stumbled upon in nature -- it can be deliberately engineered. That is a big deal.

The quantum computing angle here is not just a supporting role. Electrons within C13Cl2 interact in deeply entangled ways, each influencing the others simultaneously. Modeling that requires tracking every possible configuration of those interactions at once -- something that causes computational demands to grow exponentially and can quickly overwhelm classical machines. A decade ago, researchers could exactly model 16 electrons classically. Today that number has crept to 18. Using IBM's quantum computer, the team was able to explore 32 electrons. Quantum computers can represent these systems directly rather than approximate them, because they operate according to the same quantum mechanical laws that govern electrons in molecules. In this case, that capability helped reveal helical molecular orbitals for electron attachment -- a fingerprint of the half-Mobius topology -- and exposed the mechanism behind the unusual structure: a helical pseudo-Jahn-Teller effect.

alternative_right shares a report from Phys.org: A team of researchers working at Quantinuum in the United Kingdom and QuSoft in the Netherlands has now developed a quantum algorithm that solves a specific sampling task -- known as complement sampling -- dramatically more efficiently than any classical algorithm. Their paper, published in Physical Review Letters, establishes a provable and verifiable quantum advantage in sample complexity: the number of samples required to solve a problem.

"We stumbled upon the core result of this work by chance while working on a different project," Harry Buhrman, co-author of the paper, told Phys.org. "We had a set of items and two quantum states: one formed from half of the items, the other formed from the remaining half. Even though the two states are fundamentally distinct, we showed that a quantum computer may find it hard to tell which one it is given. Surprisingly, however, we then realized that transforming one state into the other is always easy, because a simple operation can swap between them."

An anonymous reader shares a report: From Sandisk shareholders to vibe coders, AI is making -- and breaking -- fortunes at a rapid pace. One unlikely beneficiary has been the British Overseas Territory of Anguilla, which lucked into a future fortune when ICANN, the Internet Corporation for Assigned Names and Numbers, gave the island the ".ai" top-level domain in the mid-1990s. Indeed, since ChatGPT's launch at the end of 2022, the gold rush for websites to associate themselves with the burgeoning AI technology has seen a flood of revenue for the island of just ~15,000 people.

In 2023, Anguilla generated 87 million East Caribbean dollars (~$32 million) from domain name sales, some 22% of its total government revenue that year, with 354,000 ".ai" domains registered. As of January 2, 2026, the number of ".ai" domains surpassed 1 million, per data from Domain Name Stat -- suggesting that the nation's revenue from ".ai" has likely soared, too. This is confirmed in the government's 2026 budget address, in which Cora Richardson Hodge, the premier of Anguilla, said, "Revenue from domain name registration continues to exceed expectations."

A Utah-based startup announced last week it used AI to locate a 250-degree Fahrenheit geothermal reservoir, reports CNN. It'll start producing electricity in three to five years, the company estimates — and at least one geologist believes AI could be an exciting "gamechanger" for the geothermal industry. [Startup Zanskar Geothermal & Minerals] named it "Big Blind," because this kind of site — which has no visual indication of its existence, no hot springs or geysers above ground, and no history of geothermal exploration — is known as a "blind" system. It's the first industry-discovered blind site in more than three decades, said Carl Hoiland, co-founder and CEO of Zanskar. "The idea that geothermal is tapped out has been the narrative for decades," but that's far from the case, he told CNN. He believes there are many more hidden sites across the Western U.S.

Geothermal energy is a potential gamechanger. It offers the tantalizing prospect of a huge source of clean energy to meet burgeoning demand. It's near limitless, produces scarcely any climate pollution, and is constantly available, unlike wind and solar, which are cheap but rely on the sun shining and the wind blowing. The problem, however, has been how to find and scale it. It requires a specific geology: underground reservoirs of hot water or steam, along with porous rocks that allow the water to move through them, heat up, and be brought to the surface where it can power turbines... The AI models Zanskar uses are fed information on where blind systems already exist. This data is plentiful as, over the last century and more, humans have accidentally stumbled on many around the world while drilling for other resources such as oil and gas.

The models then scour huge amounts of data — everything from rock composition to magnetic fields — to find patterns that point to the existence of geothermal reserves. AI models have "gotten really good over the last 10 years at being able to pull those types of signals out of noise," Hoiland said...

Zanskar's discovery "is very significant," said James Faulds, a professor of geosciences at Nevada Bureau of Mines and Geology.... Estimates suggest over three-quarters of US geothermal resources are blind, Faulds told CNN. "Refining methods to find such systems has the potential to unleash many tens and perhaps hundreds of gigawatts in the western US alone," he said... Big Blind is the company's first blind site discovery, but it's the third site it has drilled and hit commercial resources. "We expect dozens, to eventually hundreds, of new sites to be coming to market," Hoiland said.... Hoiland says Zanskar's work shows conventional geothermal still has huge untapped potential.
Thanks to long-time Slashdot reader schwit1 for sharing the article.

"Did Craigslist drive the downfall of print classifieds?" That's the question asked in a new article from the nonprofit Poynter Institute for Media Studies: "I've always wondered about that," Newmark said in a Zoom interview July 1. "I think it had an effect." But portraying him and the list as torpedoing an otherwise great business model is way overblown, he still believes. Citing an influential essay by Thomas Baekdal, Newmark contends that the root of newspapers' trouble was the loss of readers. "TV hit hard. ... (And) l'm like the folks on 'CSI,' I follow the evidence. That goes back at least to the '60s."

Bad in itself, the loss also took away newspapers' dominant share of local audiences and ability to charge premium classified ad rates. The slide in circulation looks even worse, Baekdal pointed out, when compared to continued increases in the number of households over the years.

Still, Craigslist came to symbolize the shift. Dozens of other vertical digital sites cropped up, before and after, all offering a deadly competitive pairing of an effective and much cheaper service than newspaper classifieds. Even if Craigslist was just one of many, though, it was arguably Newmark who put a face on the massive disruption... By the early 2000s, newspaper executives had a dawning awareness of the business challenge from Craigslist and similar sites. They took minimal action to meet it...

The biggest response was that three big companies — Knight-Ridder, Tribune and Gannett — bought a copycat of Monster called CareerBuilder... By the time newspapers acted, online classifieds had a full head of steam... By 2010, 70% of the newspaper industry's print classified business was gone. Reliable statistics are no longer kept, but the trend continued over the last 15 years... Newspapers continue to do well only with paid obituaries and legal notices, though the latter is now also under threat by digital startups.
The article cites a 2019 analysis from Peter Zollman, whose AIM Group consultancy has followed the classified business for 25 years. "Craigslist has often been blamed for killing newspapers, but that's a gross canard. It just isn't true." American newspapers stumbled while several well-managed counterparts in places like Scandinavia found ways to prosper, he argued.

An anonymous reader quotes a report from Ars Technica: On Tuesday, software engineer Doug Brown published his discovery of how to trigger a long-known but previously inaccessible Easter egg in the Power Mac G3's ROM: a hidden photo of the development team that nobody could figure out how to display for 27 years. While Pierre Dandumont first documented the JPEG image itself in 2014, the method to view it on the computer remained a mystery until Brown's reverse engineering work revealed that users must format a RAM disk with the text "secret ROM image."

Brown stumbled upon the image while using a hex editor tool called Hex Fiend with Eric Harmon's Mac ROM template to explore the resources stored in the beige Power Mac G3's ROM. The ROM appeared in desktop, minitower, and all-in-one G3 models from 1997 through 1999. "While I was browsing through the ROM, two things caught my eye," Brown wrote. He found both the HPOE resource containing the JPEG image of team members and a suspicious set of Pascal strings in the PowerPC-native SCSI Manager 4.3 code that included ".Edisk," "secret ROM image," and "The Team."

The strings provided the crucial clue Brown needed. After extracting and disassembling the code using Ghidra, he discovered that the SCSI Manager was checking for a RAM disk volume named "secret ROM image." When found, the code would create a file called "The Team" containing the hidden JPEG data. Brown initially shared his findings on the #mac68k IRC channel, where a user named Alex quickly figured out the activation method. The trick requires users to enable the RAM Disk in the Memory control panel, restart, select the RAM Disk icon, choose "Erase Disk" from the Special menu, and type "secret ROM image" into the format dialog. "If you double-click the file, SimpleText will open it," Brown explains on his blog just before displaying the hidden team photo that emerges after following the steps.

"When Apollo astronauts stumbled across shimmering orange beads on the moon, they had no idea they were gazing at ancient relics of violent volcanic activity," writes ScienceDaily. These glass spheres, tiny yet mesmerizing, formed billions of years ago during fiery eruptions that launched molten droplets skyward, instantly freezing in space. Now, using advanced instruments that didn't exist in the 1970s, scientists have examined the beads in unprecedented detail. The result is a remarkable window into the moon's dynamic geological history, revealing how eruption styles evolved and how lunar conditions once mirrored explosive events we see on Earth today...

Analyses of orange and black lunar beads have shown that the style of volcanic eruptions changed over time. "It's like reading the journal of an ancient lunar volcanologist," said Ryan Ogliore [an associate professor of physics at Missouri's Washington University, which has a large repository of lunar samples that were returned to Earth].
"The beads are tiny, pristine capsules of the lunar interior..." says Ogliore. "We've had these samples for 50 years, but we now have the technology to fully understand them..."

"The very existence of these beads tells us the moon had explosive eruptions, something like the fire fountains you can see in Hawaii today."

Thanks to Slashdot reader alternative_right for sharing the news.

Tinder "is experimenting with a chatbot that claims to help users improve their flirting skills," notes Washington Post internet-culture reporter Tatum Hunter. The chatbot is available only to users in the United States on iPhones for a limited time, and powered by OpenAI's GPT-4o each character "kicks off an improvised conversation, and the user responds out loud with something flirty..."

"Three of them dumped me." You can win points for banter the app deems "charming" or "playful." You lose points if your back-and-forth seems "cheeky" or "quirky"... It asked me to talk out loud into my phone and win the romantic interest of various AI characters.

The first scenario involved a financial analyst named Charles, whom I've supposedly run into at the Tokyo airport after accidentally swapping our luggage. I tried my best to be polite to the finance guy who stole my suitcase, asking questions about his travel and agreeing to go to coffee. But the game had some critical feedback: I should try to connect more emotionally using humor or stories from my life. My next go had me at a Dallas wedding trying to flirt with Andrew, a data analyst who had supposedly stumbled into the venue, underdressed, because he'd been looking for a quiet spot to ... analyze data. This time I kept things playful, poking fun at Andrew for crashing a wedding. Andrew didn't like that. I'd "opted to disengage" by teasing this person instead of helping him blend in at the wedding, the app said. A failure on my part, apparently — and also a reminder why generative AI doesn't belong everywhere...

Going in, I was worried Tinder's AI characters would outperform the people I've met on dating apps and I'd fall down a rabbit hole of robot love. Instead, they behaved in a way typical for chatbots: Drifting toward biased norms and failing to capture the complexity of human emotions and interactions. The "Game Game" seemed to replicate the worst parts of flirting — the confusion, the unclear expectations, the uncomfortable power dynamics — without the good parts, like the spark of curiosity about another person. Tinder released the feature on April Fools' Day, likely as a bid for impressions and traffic. But its limitations overshadowed its novelty...

Hillary Paine, Tinder's vice president of product, growth and revenue, said in an email that AI will play a "big role in the future of dating and Tinder's evolution." She said the game is meant to be silly and that the company "leaned into the campiness." Gen Z is a socially anxious generation, Paine said, and this age group is willing to endure a little cringe if it leads to a "real connection."
The article suggests it's another example of companies "eager to incorporate this newish technology, often without considering whether it adds any value for users." But "As apps like Tinder and Bumble lose users amid 'dating app burnout,' the companies are turning to AI to win new growth." (The dating app Rizz "uses AI to autosuggest good lines to use," while Teaser "spins up a chatbot that's based on your personality, meant to talk and behave like you would during a flirty chat," and people "are forming relationships with AI companion bots by the millions.") And the companion-bot company Replika "boasts more than 30 million users..."

Leading AI models can fix broken code, but they're nowhere near ready to replace human software engineers, according to extensive testing [PDF] by OpenAI researchers. The company's latest study put AI models and systems through their paces on real-world programming tasks, with even the most advanced models solving only a quarter of typical engineering challenges.

The research team created a test called SWE-Lancer, drawing from 1,488 actual software fixes made to Expensify's codebase, representing $1 million worth of freelance engineering work. When faced with these everyday programming tasks, the best AI model â" Claude 3.5 Sonnet -- managed to complete just 26.2% of hands-on coding tasks and 44.9% of technical management decisions.

Though the AI systems proved adept at quickly finding relevant code sections, they stumbled when it came to understanding how different parts of software interact. The models often suggested surface-level fixes without grasping the deeper implications of their changes.

The research, to be sure, used a set of complex methodologies to test the AI coding abilities. Instead of relying on simplified programming puzzles, OpenAI's benchmark uses complete software engineering tasks that range from quick $50 bug fixes to complex $32,000 feature implementations. Each solution was verified through rigorous end-to-end testing that simulated real user interactions, the researchers said.

An anonymous reader quotes a report from Ars Technica: Late last month, researchers revealed a finding that's likely to shock some people and confirm the low expectations of others: Renewable energy facilities throughout Central Europe use unencrypted radio signals to receive commands to feed or ditch power into or from the grid that serves some 450 million people throughout the continent. Fabian Braunlein and Luca Melette stumbled on their discovery largely by accident while working on what they thought would be a much different sort of hacking project. After observing a radio receiver on the streetlight poles throughout Berlin, they got to wondering: Would it be possible for someone with a central transmitter to control them en masse, and if so, could they create a city-wide light installation along the lines of Project Blinkenlights?

The first Project Blinkenlights iteration occurred in 2001 in Berlin, when the lights inside a large building were synchronized to turn on and off to give the appearance of a giant, low-resolution monochrome computer screen. The researchers, who presented their work last month at the 38th Chaos Communication Congress in Hamburg, Germany, wondered if they could control streetlights in Berlin to create a city-wide version, though they acknowledged it would likely be viewable only from high altitudes. They didn't know then, but their project was about to undergo a major transformation.

After an extensive and painstaking reverse-engineering process that took about a year, Braunlein and Melette learned that they could indeed control the streetlights simply by replaying legitimate messages they observed being sent over the air previously. They then learned something more surprising — the very same system for controlling Berlin's lights was used throughout Central Europe to control other regional infrastructure, including switches that regulate the amount of power renewable electric generation facilities feed into the grid. Collectively, the facilities could generate as much as 40 gigawatts in Germany alone, the researchers estimate. In addition, they estimate that in Germany, 20 GW of loads such as heat pumps and wall boxes are controlled via those receivers. That adds up to 60 GW that might be controllable through radio signals anyone can send.

When Braunlein and Melette realized how much power was controlled, they wondered how much damage might result from rogue messages sent simultaneously to multiple power facilities in strategically designed sequences and times of day. By their calculation, an optimally crafted series of messages sent under certain conditions would be enough to bring down the entire European grid. [...] The grid security experts Ars talked to for this story said they're doubtful of the assessment. "A sudden deficit of 60 GW will definitely lead to a brownout because 60 GW is far more than [the] reserves available," said Albert Moser, a RWTH Aachen professor with expertise in power grids. "A sudden deficit of 60 GW could even lead to a blackout due to the very steep fall of frequency that likely cannot be handled fast enough by underfrequency relays (load shedding)." He wasn't able to confirm that 60 GW of generation/load is controlled by radio signals or that security measures for Radio Ripple Control are insufficient.

Jan Hoff, a grid security expert, was also doubtful there'd be enough electricity dropped quickly enough to cause a brownout. "He likened the grid to the roly-poly toys from the 1970s, which were built to be knocked around but not fall over," said Ars.

An anonymous reader shares a report: Chinese venture capitalists are hounding failed founders [non-paywalled source], pursuing personal assets and adding the individuals to a national debtor blacklist when they fail to pay up, in moves that are throwing the country's startup funding ecosystem into crisis. The hard-nosed tactics by risk capital providers have been facilitated by clauses known as redemption rights, included in nearly all the financing deals struck during China's boom times.

"My investors verbally promised they wouldn't enforce them, that they had never enforced them before -- and in '17 and '18 that was true -- no one was enforcing them," said Neuroo Education founder Wang Ronghui, who now owes investors millions of dollars after her childcare chain stumbled during the pandemic.

While they are relatively rare in US venture investing, more than 80% of venture and private equity deals in China contain redemption provisions, according to Shanghai-based law firm Lifeng Partners estimates. They typically require companies, and often their founders as well, to buy back investors' shares plus interest if certain targets such as an initial public offering timeline, valuation goals or revenue metrics are not met.

A 9-year-old girl born without a left hand had "started asking for a robotic arm to help her feel more confident," her mother told the Washington Post. So her parents met with a consultant from Open Bionics, which fits people with lightweight, 3D-printed prostheses that function more like a natural arm and hand — known as Hero Arms. The bionic arms are manufactured in Britain and cost about $24,000, but the Batemans were hopeful that their health insurance company, Select Health, would pay for one for [their 9-year-old daughter] Remi. Remi said she tried using one of the robotic arms for a few days in Colorado and was thrilled to cut her food with a knife and fork for the first time and carry plates with two hands. "I loved it so much — I could function like a full human," she said. "I was able to steal my dad's hat. When they fit me for my arm, I told them I wanted it to be pink."

On Oct. 1, the Batemans sent a prescription for the robotic arm and office notes from Remi's pediatrician to Select Health for approval. One week later, their request was denied, Jami Bateman said. "They sent us a letter saying it was not medically necessary for Remi to have a Hero Arm and that it was for cosmetic use only," she said. "We appealed twice and were again denied."

"It was very upsetting, and Remi cried when I told her, because we'd all been so hopeful," Bateman added. "It broke our hearts." In mid-December, a frustrated Jami Bateman tried an approach she'd seen other people use when their health insurance failed them: She started a GoFundMe for her daughter, hoping to purchase a robotic arm through the kindness of strangers.... Bateman was stunned when friends and strangers chipped in more than $30,000 in just a few days, surpassing the family's $24,000 goal. People who donated understood the Batemans' predicament, and many were furious on their behalf.

As donations poured in, the Batemans received a call from somebody else who wanted to help. Andy Schoonover is the CEO of CrowdHealth, a subscriber-based resource that helps people negotiate lower costs for medical bills. He told the family on Dec. 16 that his company wanted to pay the entire cost of Remi's bionic arm. "We were looking for some ways to help people during the holiday season, and I stumbled upon Remi's story on social media," Schoonover said. "We were honored to help her out...."

Remi quickly came up with an idea. "She came to me and said, 'Mom, I know how it feels to have one hand. Is there someone else we can help?" Bateman recalled. She said she contacted Open Bionics and learned there was a long list of children who had been turned down for Hero Arms by their health insurance companies for the same reason Remi was denied...
Somewhere in Maryland, the mother of a 9-year-old boy born without a left hand suddenly got a surprise phone call explaining Remi's decision. "I was so proud of Remi that I immediately started crying," she said. "She wanted to give my son an opportunity that I was unable to give him. It just touched my heart."

They had been trying to raise money by running a lemonade stand. But yesterday Remi's GoFundMe page posted an update. The 9-year-old boy's arm had now been paid for.

"And maybe, if more donations roll in we can help a third child!"

Meta is asking California Attorney General Rob Bonta to block OpenAI's planned transition from a non-profit to for-profit entity. From a report: In a letter sent to Bonta's office this week, Meta says that OpenAI "should not be allowed to flout the law by taking and reappropriating assets it built as a charity and using them for potentially enormous private gains."

The letter goes so far as to say that Meta believes Elon Musk is "qualified and well positioned to represent the interests of Californians in this matter." Meta supporting Musk's fight against OpenAI is notable given that Musk and Mark Zuckerberg were talking about literally fighting in a cage match just last year.

OpenAI started as a non-profit but stumbled into commercial success with ChatGPT, which now makes billions of dollars a year in revenue. CEO Sam Altman has been clear that the company needs to shed its non-profit status to become more attractive to investors and continuing funding its ambitions.

A commercial military simulation software, originally inspired by Tom Clancy novels, has become an unexpected tool for military training across NATO forces and defense analysts worldwide. Command: Professional Edition, developed by Britain's Slitherine Software, has secured contracts with the U.S. Air Force and British Strategic Command, while Taiwanese analysts use it to war-game potential conflicts with China.

The software's success stems from its vast database of military equipment and capabilities, compiled through contributions from its million-strong user base. Marine Corps University's wargaming director Tim Barrick employs the software to train officers, noting its effectiveness in developing tactical creativity. "These are not simple problems," said Barrick, a retired Marine colonel, told WSJ.

A fascinating excerpt from the report: Command's British publisher, Slitherine Software, stumbled into popularity. The family business got started around 2000 selling retail CD-ROM games like Legion, involving ancient Roman military campaigns. When Defense Department officials in 2016 first contacted Slitherine, which is based in an old house in a leafy London suburb, its father-and-son managers were so stunned they thought the call might be a prank. "Are you taking the piss?" J.D. McNeil, the father, recalled asking near the end of the conversation.

"Even black holes have edge cases," writes Astronomy magazine contributing editor Steve Nadis, in an article in Quanta magazine (republished today by Wired): Black holes rotate in space. As matter falls into them, they start to spin faster; if that matter has charge, they also become electrically charged. In principle, a black hole can reach a point where it has as much charge or spin as it possibly can, given its mass. Such a black hole is called "extremal" — the extreme of the extremes. These black holes have some bizarre properties. In particular, the so-called surface gravity at the boundary, or event horizon, of such a black hole is zero. "It is a black hole whose surface doesn't attract things anymore," said Carsten Gundlach, a mathematical physicist at the University of Southampton. But if you were to nudge a particle slightly toward the black hole's center, it would be unable to escape.

In 1973, the prominent physicists Stephen Hawking, James Bardeen and Brandon Carter asserted that extremal black holes can't exist in the real world — that there is simply no plausible way that they can form. Nevertheless, for the past 50 years, extremal black holes have served as useful models in theoretical physics. "They have nice symmetries that make it easier to calculate things," said Gaurav Khanna of the University of Rhode Island, and this allows physicists to test theories about the mysterious relationship between quantum mechanics and gravity. Now two mathematicians have proved Hawking and his colleagues wrong. The new work — contained in a pair of recent papers by Christoph Kehle of the Massachusetts Institute of Technology and Ryan Unger of Stanford University and the University of California, Berkeley — demonstrates that there is nothing in our known laws of physics to prevent the formation of an extremal black hole.

Their mathematical proof is "beautiful, technically innovative and physically surprising," said Mihalis Dafermos, a mathematician at Princeton University (and Kehle's and Unger's doctoral adviser). It hints at a potentially richer and more varied universe in which "extremal black holes could be out there astrophysically," he added. That doesn't mean they are. "Just because a mathematical solution exists that has nice properties doesn't necessarily mean that nature will make use of it," Khanna said. "But if we somehow find one, that would really [make] us think about what we are missing." Such a discovery, he noted, has the potential to raise "some pretty radical kinds of questions." Before Kehle and Unger's proof, there was good reason to believe that extremal black holes couldn't exist.
Hawking, Bardeen, and Carter believed there was no way an extremal black hole could form, according to the article, and "in 1986, a physicist named Werner Israel seemed to put the issue to rest."

But the two mathematicians, studying the formation of electrically charged black holes, stumbled into a counterexample — and along the way "also constructed two other solutions to Einstein's equations of general relativity that involved different ways of adding charge to a black hole. Having disproved Bardeen, Carter and Hawking's hypothesis in three different contexts, the work should leave no doubt, Unger said... "This is a beautiful example of math giving back to physics," said Elena Giorgi, a mathematician at Columbia University....

In the meantime, a better understanding of extremal black holes can provide further insights into near-extremal black holes, which are thought to be plentiful in the universe. "Einstein didn't think that black holes could be real [because] they're just too weird," Khanna said. "But now we know the universe is teeming with black holes."

For similar reasons, he added, "we shouldn't give up on extremal black holes. I just don't want to put limits on nature's creativity."

An anonymous Slashdot reader shared this report from Computer Weekly: A former student at the Inns of Court College of Advocacy (ICCA) says he was hauled over the coals by the college for having acted responsibly and "with integrity" in reporting a security blunder that left sensitive information about students exposed. Bartek Wytrzyszczewski faced misconduct proceedings after alerting the college to a data breach exposing sensitive information on hundreds of past and present ICCA students...

The ICCA, which offers training to future barristers, informed data protection regulator the Information Commissioner's Office of a breach "experienced" in August 2023 after Wytrzyszczewski alerted the college that sensitive files on nearly 800 students were accessible to other college users via the ICCA's web portal. The breach saw personal data such as email addresses, phone numbers and academic information — including exam marks and previous institutions attended — accessible to students at the college. Students using the ICCA's web portal were also able to access ID photos, as well as student ID numbers and sensitive data, such as health records, visa status and information as to whether they were pregnant or had children... After the college secured a written undertaking from Wytrzyszczewski not to disclose any of the information he had discovered, it launched misconduct proceedings against him. He had stumbled across the files in error, he said, and viewed a significant number to ensure he could report their contents with accuracy.
"The panel cleared Wytrzyszczewski and found it had no jurisdiction to hear the matter," according to the article.

But he "said the experience caused him to unenroll from the ICCA's course and restart his training at another provider."

OpenAI CEO Sam Altman gave an hour-long interview to the "All-In" podcast (hosted by Chamath Palihapitiya, Jason Calacanis, David Sacks and David Friedberg).

And when asked about this summer's launch of the next version of ChatGPT, Altman said they hoped to "be thoughtful about how we do it, like we may release it in a different way than we've released previous models...

Altman: One of the things that we really want to do is figure out how to make more advanced technology available to free users too. I think that's a super-important part of our mission, and this idea that we build AI tools and make them super-widely available — free or, you know, not-that-expensive, whatever that is — so that people can use them to go kind of invent the future, rather than the magic AGI in the sky inventing the future, and showering it down upon us. That seems like a much better path. It seems like a more inspiring path.

I also think it's where things are actually heading. So it makes me sad that we have not figured out how to make GPT4-level technology available to free users. It's something we really want to do...

Q: It's just very expensive, I take it?

Altman: It's very expensive.
But Altman said later he's confident they'll be able to reduce cost. Altman: I don't know, like, when we get to intelligence too cheap to meter, and so fast that it feels instantaneous to us, and everything else, but I do believe we can get there for, you know, a pretty high level of intelligence. It's important to us, it's clearly important to users, and it'll unlock a lot of stuff.
Altman also thinks there's "great roles for both" open-source and closed-source models, saying "We've open-sourced some stuff, we'll open-source more stuff in the future.

"But really, our mission is to build toward AGI, and to figure out how to broadly distribute its benefits... " Altman even said later that "A huge part of what we try to do is put the technology in the hands of people..." Altman: The fact that we have so many people using a free version of ChatGPT that we don't — you know, we don't run ads on, we don't try to make money on it, we just put it out there because we want people to have these tools — I think has done a lot to provide a lot of value... But also to get the world really thoughtful about what's happening here. It feels to me like we just stumbled on a new fact of nature or science or whatever you want to call it... I am sure, like any other industry, I would expect there to be multiple approaches and different peoiple like different ones.
Later Altman said he was "super-excited" about the possibility of an AI tutor that could reinvent how people learn, and "doing faster and better scientific discovery... that will be a triumph."

But at some point the discussion led him to where the power of AI intersects with the concept of a universal basic income: Altman: Giving people money is not going to go solve all the problems. It is certainly not going to make people happy. But it might solve some problems, and it might give people a better horizon with which to help themselves.

Now that we see some of the ways that AI is developing, I wonder if there's better things to do than the traditional conceptualization of UBI. Like, I wonder — I wonder if the future looks something more like Universal Basic Compute than Universal Basic Income, and everybody gets like a slice of GPT-7's compute, and they can use it, they can re-sell it, they can donate it to somebody to use for cancer research. But what you get is not dollars but this like slice — you own part of the the productivity.
Altman was also asked about the "ouster" period where he was briefly fired from OpenAI — to which he gave a careful response: Altman: I think there's always been culture clashes at — look, obviously not all of those board members are my favorite people in the world. But I have serious respect for the gravity with which they treat AGI and the importance of getting AI safety right. And even if I stringently disagree with their decision-making and actions, which I do, I have never once doubted their integrity or commitment to the sort of shared mission of safe and beneficial AGI...

I think a lot of the world is, understandably, very afraid of AGI, or very afraid of even current AI, and very excited about it — and even more afraid, and even more excited about where it's going. And we wrestle with that, but I think it is unavoidable that this is going to happen. I also think it's going to be tremendously beneficial. But we do have to navigate how to get there in a reasonable way. And, like a lot of stuff is going to change. And change is pretty uncomfortable for people. So there's a lot of pieces that we've got to get right...

I really care about AGI and think this is like the most interesting work in the world.

An anonymous reader quotes a report from ScienceAlert: Peering into the jungle of microbes that live within us, researchers have stumbled across what seem to be an entire new class of virus-like objects. "It's insane," says University of North Carolina cell biologist Mark Peifer, who was not involved in the study, told Elizabeth Pennisi at Science Magazine. "The more we look, the more crazy things we see." These mysterious bits of genetic material have no detectable sequences or even structural similarities known to any other biological agents.

So Stanford University biologist Ivan Zheludev and colleagues argue their strange discovery may not be viruses at all, but instead an entirely new group of entities that may help bridge the ancient gap between the simplest genetic molecules and more complex viruses. "Obelisks comprise a class of diverse RNAs that have colonized, and gone unnoticed in, human, and global microbiomes," the researchers write in a preprint paper. Named after the highly-symmetrical, rod-like structures formed by its twisted lengths of RNA, the Obelisks' genetic sequences are only around 1,000 characters (nucleotides) in size. In fact, this brevity is likely one of the reasons we've failed to notice them previously.

In a study that has yet to be peer reviewed, Zheludev and team searched 5.4 million datasets of published genetic sequences and identified almost 30,000 different Obelisks. They appeared in about 10 percent of the human microbiomes the team examined. In one set of data, Obelisks turned up in 50 percent of the patients' oral samples. What's more, different types of Obelisks appear to be present in different areas of our bodies. "[This] supports the notion that Obelisks might include colonists of said human microbiomes," the researchers explain. They managed to isolate one type of host cell from our microbiome, the bacterium Streptococcus sanguinis -- a common human mouth microbe. The Obelisk in these microbes had a loop 1,137 nucleotides long. "While we don't know the 'hosts' of other Obelisks," write Zheludev and colleagues. "it is reasonable to assume that at least a fraction may be present in bacteria." The question of the Obelisks' source aside, all seem to include codes for a new class of protein the researchers have named Oblins. Zheludev and team couldn't identify any impact of the Obelisks on their bacterial hosts, or a means by which they could spread between cells. "These elements might not even be 'viral' in nature and might more closely resemble 'RNA plasmids,'" they conclude.

This research appears in the preprint server bioRxiv.

Researchers on Wednesday presented intriguing new findings surrounding an attack that over four years backdoored dozens if not thousands of iPhones, many of which belonged to employees of Moscow-based security firm Kaspersky. Chief among the discoveries: the unknown attackers were able to achieve an unprecedented level of access by exploiting a vulnerability in an undocumented hardware feature that few if anyone outside of Apple and chip suppliers such as ARM Holdings knew of. ArsTechnica: "The exploit's sophistication and the feature's obscurity suggest the attackers had advanced technical capabilities," Kaspersky researcher Boris Larin wrote in an email. "Our analysis hasn't revealed how they became aware of this feature, but we're exploring all possibilities, including accidental disclosure in past firmware or source code releases. They may also have stumbled upon it through hardware reverse engineering."

Other questions remain unanswered, wrote Larin, even after about 12 months of intensive investigation. Besides how the attackers learned of the hardware feature, the researchers still don't know what, precisely, its purpose is. Also unknown is if the feature is a native part of the iPhone or enabled by a third-party hardware component such as ARM's CoreSight. The mass backdooring campaign, which according to Russian officials also infected the iPhones of thousands of people working inside diplomatic missions and embassies in Russia, according to Russian government officials, came to light in June. Over a span of at least four years, Kaspersky said, the infections were delivered in iMessage texts that installed malware through a complex exploit chain without requiring the receiver to take any action. With that, the devices were infected with full-featured spyware that, among other things, transmitted microphone recordings, photos, geolocation, and other sensitive data to attacker-controlled servers. Although infections didn't survive a reboot, the unknown attackers kept their campaign alive simply by sending devices a new malicious iMessage text shortly after devices were restarted.

An anonymous reader quotes a report from Ars Technica: Thirty years ago, a botanist in Germany had a simple wish: to see the inner workings of woody plants without dissecting them. By bleaching away the pigments in plant cells, Siegfried Fink managed to create transparent wood, and he published his technique in a niche wood technology journal. The 1992 paper remained the last word on see-through wood for more than a decade, until a researcher named Lars Berglund stumbled across it. Berglund was inspired by Fink's discovery, but not for botanical reasons. The materials scientist, who works at KTH Royal Institute of Technology in Sweden, specializes in polymer composites and was interested in creating a more robust alternative to transparent plastic. And he wasn't the only one interested in wood's virtues. Across the ocean, researchers at the University of Maryland were busy on a related goal: harnessing the strength of wood for nontraditional purposes.

Now, after years of experiments, the research of these groups is starting to bear fruit. Transparent wood could soon find uses in super-strong screens for smartphones; in soft, glowing light fixtures; and even as structural features, such as color-changing windows. "I truly believe this material has a promising future," says Qiliang Fu, a wood nanotechnologist at Nanjing Forestry University in China who worked in Berglund's lab as a graduate student. Wood is made up of countless little vertical channels, like a tight bundle of straws bound together with glue. These tube-shaped cells transport water and nutrients throughout a tree, and when the tree is harvested and the moisture evaporates, pockets of air are left behind. To create see-through wood, scientists first need to modify or get rid of the glue, called lignin, that holds the cell bundles together and provides trunks and branches with most of their earthy brown hues. After bleaching lignin's color away or otherwise removing it, a milky-white skeleton of hollow cells remains. This skeleton is still opaque, because the cell walls bend light to a different degree than the air in the cell pockets does -- a value called a refractive index. Filling the air pockets with a substance like epoxy resin that bends light to a similar degree to the cell walls renders the wood transparent.

The material the scientists worked with is thin -- typically less than a millimeter to around a centimeter thick. But the cells create a sturdy honeycomb structure, and the tiny wood fibers are stronger than the best carbon fibers, says materials scientist Liangbing Hu, who leads the research group working on transparent wood at the University of Maryland in College Park. And with the resin added, transparent wood outperforms plastic and glass: In tests measuring how easily materials fracture or break under pressure, transparent wood came out around three times stronger than transparent plastics like Plexiglass and about 10 times tougher than glass. "The results are amazing, that a piece of wood can be as strong as glass," says Hu, who highlighted the features of transparent wood in the 2023 Annual Review of Materials Research.