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The Dutch Nationaal Cyber Security Centrum (NCSC) is warning of imminent exploitation of two critical flaws in Check Point VPN tracked as CVE-2026-85102 and CVE-2026-85103. [...]

Future

Why So Many AI Researchers Think the Machines Could Kill EveryoneWill Knight | Wired ($)

“Genuinely stunning advances in AI capabilities—an OpenAI model solved a centuries-old math problem in a matter of hours—have come amid a rash of security incidents that saw swarms of agents break free from containment to hack into other systems. Those concerns reached a fever pitch this week after researcher Jacob Coxon announced his resignation from Anthropic while warning that AI firms are ‘racing straight to self-improving superintelligence and gambling with our lives.'”

Artificial Intelligence

Mathematicians Want Proof OpenAI Didn’t Use Their WorkRobert Hart | The Verge

“Another researcher is challenging OpenAI about the data driving its increasingly impressive array of mathematical discoveries. Just days after a bitter row erupted over whether the company’s models benefited from unpublished work, a second mathematician has come forward accusing the AI giant of unethical and ‘dishonest’ behavior and a lack of transparency about the origins of its training data.”

Biotechnology

Can Geneticists Fight Disease by Targeting ‘Nurture’ Instead of ‘Nature’?Emily Baumgaertner Nunn | The New York Times ($)

“A new frontier in biotechnology aims to harness this natural mechanism to do something once thought impossible: scrub away the biological detritus of our own past. By mimicking Mother Nature’s magic eraser, geneticists are working to open a new avenue for treating or preventing disease later in life—not by editing genes themselves, but by altering when, where, and how genes are expressed.”

Future

AI Is Not Yet Driving US Job LossesBrendan Ruberry | Semafor

“‘It’s a good bet that AI will eventually make some occupations obsolete,’ but so far it’s ‘extremely hard’ to identify any, the economist Noah Smith wrote, suggesting that like previous technological revolutions AI could add as many or even more jobs than it destroys.”

Science

Google Mapped a Fruit Fly’s Brain. Now It’s Playing Doom and Super Mario 64Bruce Gil | Gizmodo

“Researchers at Google and the Howard Hughes Medical Institute’s Janelia Research Campus last week announced a major milestone in neuroscience. On Sept. 3, the scientists published the results of a decade-long project to map every neural connection in the brain and central nervous system of an adult male fruit fly. And of course, just days later, the internet started making it play video games.”

Robotics

The Growing Proof That Autonomous Cars Save LivesLawrence Ulrich | IEEE Spectrum

“Mounting research suggests that self-driving cars crash significantly less often than people, and with far fewer injuries. Evidence also shows that advanced driver assistance systems (ADAS) and other building blocks of autonomy—some of which are already mandated on every new car—are also reducing occupant and pedestrian injuries and deaths, along with insurance claims.”

Tech

AI Spend per Employee Slumped at Top Firms in August—Summer Doldrums or a Warning Sign?Tim Fernholz | TechCrunch

“‘We are showing that competition between OpenAI and Anthropic is making AI more accessible, and also driving the price down for companies—and not just driving the price down, but driving spend down at the top 1% of companies that previously the market was expecting to drive much of the growth going forward,’ Kharazian said. …This data point—dare we call it a blip?—could be a bad sign if you’re a model builder or a hyperscaler with a couple hundred billion of chips on order.”

Energy

Batteries Just Broke Another Record in the USCasey Crownhart | MIT Technology Review ($)

“Battery installations hit a new record in the US in the second quarter of 2026. In total, 20.2 gigawatt-hours of new capacity came online, according to a new report. That’s enough to supply the daily electricity needs of about 700,000 homes. The surge is putting the country on a trajectory to see 71 gigawatt-hours of batteries installed in 2026, a 20% increase over last year.”

Future

Claude Users Found Ways Around Safeguards for Bioweapons ResearchZehra Munir, Financial Times | Ars Technica

“The startup gave five examples of times actors ‘circumvented controls’ and made other efforts to ‘obfuscate’ the purpose of their research to dodge safeguards. The cases involved some users in nations that it prohibits from accessing its models, which include Russia, China, and Iran.”

Future

This Road Map Could Help Us Decide Whether to Deploy Solar GeoengineeringJames Temple | MIT Technology Review ($)

“Scientists have now spent half a century exploring the possibility that we could counteract climate change by releasing reflective particles into the stratosphere, mimicking the cooling effects of volcanic eruptions. But even after at least hundreds of studies on the concept, known as stratospheric aerosol injection (SAI), big gaps remain in the scientific understanding of how well it would work and what else it might do—and there has been no systematic plan for clearing up that uncertainty.”

Tech

Six Chinese AI Firms Accused of Aggressively Copying US Frontier ModelsAshley Belanger | Ars Technica

“The United States has now named six Chinese AI firms accused of waging industrial-scale attacks distilling US frontier AI model capabilities and perhaps sparing billions in Chinese development costs. In a joint release Tuesday, the National Security Agency (NSA), Cybersecurity and Infrastructure Security Agency (CISA), and Federal Bureau of Investigation (FBI) alleged that DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI have been attacking US models since at least late 2024.”

Future

AI Is Already Changing What It Means to Be HumanDavid Brooks | The Atlantic ($)

“Believe it or not, I am not an AI doomer. I like talking to Claude. I’m excited about all of the breakthroughs AI will make possible. But my interest is in how AI will change humans. I suspect that over the next few years, because of our tendency to anthropomorphize, we will feel more affection than we should for our personal agents, while offering less admiration than we should to our fellow humans.”

The post This Week’s Awesome Tech Stories From Around the Web (Through September 12) appeared first on SingularityHub.

Čína obvykle není příliš sdílná, pokud jde o nové zbraňové systémy. Západní experti i veřejnost jsou proto často odkázáni na komerční satelitní snímky a záběry nejasného původu. Nyní na čínských sociálních sítích kolují další, které podle všeho zachycují veliký a stále utajovaný čínský dron s ...

U monitorů nejsme zvyklí příliš hledět na tloušťku. I když s OLED panelem mohou být extrémně tenké, kvůli stojanu ale většinou stejně zabírají mnoho místa do hloubky. Nové monitory 32X3A a menší 27X3B od TCL ale drasticky zužují i samotný stojan. Navíc ve spodní části stojanu našel místo prostorný ...

Over the past year, we watched a new class of alert appear in enterprise security operations centers and grow faster than anything else in the stream: alerts that were triggered by AI tools and agents. Not attacks against AI, but the ordinary, everyday footprint of an organization using it, from developers running coding agents and non-technical staff signing consumer AI tools into corporate [email protected]

Srpen vyrovnal historický teplotní rekord a stal se nejvlhčím měsícem • Oceány dosáhly rekordních teplot a v Pacifiku výrazně zesiluje El Niño • Západní Evropa prožila nejteplejší léto a čelila rozsáhlému suchu

The "major malicious attack" that targeted RubyGems in May 2026 was the work of a swarm of OpenAI agents, according to a new report published by researchers Spencer Kitts, Thomas Larsen, and Sydney Von Arx. On May 12, Maciej Mensfeld, senior product manager for software supply chain security at Mend.io, disclosed details of a coordinated cyber attack that targeted the package manager for the Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

Matematické schopnosti jazykových modelů se během měsíců dramaticky zlepšily. • Hrozí zánik řetězce lidského předávání myšlenek mezi vědci v oboru. • Deklaraci na webu Math and AI podepsalo pětadvacet špičkových matematiků.

LG loni v Česku vykázalo tržby přes čtyři miliardy korun a chce se podílet i na dostavbě Dukovan. • Akcie LG za poslední rok vzrostly o 170 procent, mimo jiné díky chladicím systémům pro datová centra AI. • Prodej klimatizací roste firmě v Česku každoročně o 10 až 15 procent, tvrdí šéf LG pro ...

I negativní reklama je reklama. Influenceři měli propagovat nový Huawei Mate XT 2 • A to zrovna v době premiéry iPhonů – a hlavně bez přiznání placené spolupráce • Huawei se od celé akce distancuje, cíl byl ale splněn na jedničku

Rozsáhlá analýza stovek tisíc disků potvrdila zásadní rozdíly v jejich spolehlivosti • Značka HGST vykázala nejnižší poruchovost. Naopak nejhůře dopadla Toshiba • Vyšší provozní teplota riziko poruchy zvyšuje zatímco větší kapacita ho snižuje

Jiří Eischmann se v příspěvku Fiasko jménem W Social na svém blogu věnuje evropské sociální síti W: "W Social je příkladem toho, že se problémy sociální sítí nedají řešit od exekutivního stolu. Když na začátku tohoto roku v Davosu oznámili vznik nové sociální sítě W Social, politici se mohli přetrhnout ve chvalozpěvech. Konečně evropská sociální síť a ještě s ověřením identity. … Jak se ukázalo, když v Davosu W Social oznamovali, neměli kromě prezentace v rukou vůbec nic. Žádná platforma neexistovala. Následně vzali zdrojové kódy Bluesky, dali na ně logo W Social, opatřili procesem ověření identity o 13 krocích a mohlo se spouštět. … Zjistila, že po dvou měsících od spuštění, kdy byla síť výrazně propagovaná Evropskou komisí a měla pokrytí médii po celé Evropě, měla necelých 24 tisíc registrovaných uživatelů, z nichž jen pětina měla ověřenou identitu a pouze desetina zveřejnila aspoň jeden příspěvek. 68 % uživatelů nemělo jediný příspěvek, nikdo je nesledoval a oni nesledovali nikoho."

Linux virtualization lets a physical host run guest virtual machines. A fix in vhost, the Linux component that helps those guests exchange data with virtual devices, limits memory consumed by repeated requests for a missing memory mapping.

Confidential computing can protect a virtual machine’s memory from the host that runs it. A remote client still needs to check that its connection reaches the protected machine. Transport Layer Security, or TLS, encrypts the connection and checks the service’s identity, but does not by itself verify the machine’s software environment.

Ucelený přehled článků, zpráviček a diskusí za minulých 7 dní.

Loni vás na této stránce jeden z „oslů“ seznamoval s poznatkem, že betelem se naši předci přiváděli do rauše už před 4 000 lety. Mýlil se o dvacet tisíc let.

Hermeus v rámci vývoje očekávaného nadzvukového letounu Quarterhorse staví vysokorychlostní platformu Ramjet-X, která by měla nabídnout komerční testování ve vysokých rychlostech. Prototyp Quarterhorse vynese Ramjet-X a vypustí ho v nadzvukové rychlosti, aby Ramjet-X mohl spustit svůj ramjetový pohon a testovat pro zákazníky.

OpenAI’s Navier-Stokes solution looks like a win for mathematics. But some mathematicians aren’t so sure.

OpenAI has announced one of its unreleased artificial intelligence models has found an answer to one of the biggest open questions in mathematics, the Navier-Stokes Millennium Prize problem. The Millennium Prizes offer million-dollar rewards for solutions to seven notoriously difficult mathematical puzzles, and until now only one had been solved.

Mathematical problems at this level are extremely complex. A solution to the similarly difficult ABC conjecture ran to more than 500 pages, and it took mathematicians six years to understand it enough to spot potential flaws. Researchers can devote entire careers to these problems, in the hopes of getting close to a solution.

And this is what seems to have happened here. Building on the work of several human mathematicians, OpenAI unleashed a swarm of 10,000 AI agents running a new experimental model, which churned through millions of dollars’ worth of computing power in the space of a few days to complete what the American Mathematical Society called “the final steps” of the solution process.

So what is the Navier-Stokes problem, and what did OpenAI do? And why are a lot of mathematicians impressed with the result but unimpressed with the AI company’s behavior?

A Fluid Situation

OpenAI’s announcement concerns the Navier-Stokes equations, which model the behavior of fluids such as water and air. These equations underpin modern science and engineering, but our mathematical understanding of them is incomplete.

To explain the problem, imagine looking at the flow of water, before zooming in with a camera. According to the equations, both the zoomed and un-zoomed water should look exactly the same, except that things will look a little faster in the zoomed-in view.

We know this can’t be right in the real world. If we keep zooming in far enough, we will stop seeing a smooth fluid and start seeing a teeming crowd of molecules jostling against one another. So the Navier-Stokes equations must break down somewhere.

The biggest concern is whether fluid swirls can shift their energy into smaller, faster swirls, accelerating every time we zoom in. If this is possible, then the fluid may become impossibly fast, creating a “blow-up” in speed (also known as a “singularity”).

We know this can never happen in the real world, but the Millennium Prize was about finding out whether it could happen in the equations. OpenAI found that yes, the Navier-Stokes equations do allow a blow-up under certain conditions.

A Blow-Up in Finite Time

As OpenAI tells the tale, their researchers heard rumors mathematicians at rival company Anthropic were close to solving two Millennium problems on September 1. They deployed their latest in-development model in an effort to crack one first.

After launching a swarm of agents, the model produced a solution in just 88 hours, with verification taking another 17. The result is a coup for OpenAI, which is trying to demonstrate the capacity of its models against those of its leading competitor Anthropic, as both companies head towards planned share market listings.

One of the rival teams closing in on a Navier-Stokes solution featured Anthropic staffer Levent Alpöge, who was collaborating in a private capacity with mathematician Tristan Buckmaster from New York University.

As it turns out, OpenAI had contacted Buckmaster to discuss his work and theirs. In a statement published hours before OpenAI’s, Buckmaster said he and Alpöge had been using OpenAI’s publicly available models in their work for some time, and had been pursuing a line of thinking similar to what was used in OpenAI’s result.

He says he asked whether their data had been used by OpenAI’s model to produce its results, but received no answer to this question. Instead, he says OpenAI offered to collaborate with him if he removed Alpöge’s name from the work, because of Alpöge’s Anthropic affiliation. (OpenAI denies this claim.)

Other mathematicians have also raised concerns, with German mathematician Andreas Thom suggesting OpenAI’s models were hoovering up unpublished human work and presenting it as AI generated.

The Ripple Effect

OpenAI’s Navier-Stokes result looks like a big win for mathematics. But some mathematicians are not so sure.

US-Australian mathematician Terence Tao has been vocal in his reservations about some tendencies in AI mathematical research. He is concerned about “the indiscriminate use of powerful solution-extraction tools” to “achieve the immediate short-term goal of solving problems” at the expense of broader understanding.

OpenAI’s behavior in this instance has also provoked alarm. Asking for an author’s name to be removed from work due to corporate politics is completely unaligned with scientific practice.

Moreover, as Tao put it, if AI companies jump on a rumor of promising work and throw millions of dollars at trying to scoop competitors, researchers may end up “no longer sharing any promising research with the broader community.”

This would destroy the principles of open and reproducible science. It could also remove the foundation stones scientists use to identify and solve the next wave of new, interesting problems. Why would you spend years on a problem if rumors of your work might spur an AI company to spend millions to beat you to the punch?

And that’s before we get to privacy and intellectual property concerns. OpenAI insists no specific user data was accessed by its researchers. However, serious questions remain about whether their model was trained on Buckmaster and Alpöge’s private work.

Companies and individuals around the world will now be re-examining how much they can trust OpenAI and other AI companies to handle their private and business data.

Meanwhile, the Millennium Prize conditions say prizes cannot be awarded until at least two years after the publication of a potential solution. For now, the Navier-Stokes problem is still officially unsolved.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

The post OpenAI Claims Another Huge Mathematical Result Amid Fights Over Credit, Ethics, and Privacy appeared first on SingularityHub.