An anonymous reader quotes a report from Bloomberg, written by Katrina Manson: The U.S. strikes on Iran ordered by President Donald Trump mark the arrival on a large scale of a new era of warfare assisted by artificial intelligence. Captain Timothy Hawkins, a Central Command spokesperson, told me last night that the AI tools the U.S. military is using in Iran operations don't make targeting decisions and don't replace humans. But they do help "make smarter decisions faster." That's been the driving ambition of the U.S. military, which has spent years looking at how to develop and deploy AI to the battlefield [...].
Critics, such as Stop Killer Robots, a coalition of 270 human-rights groups, argue that AI-enabled decision-support systems reduce the separation between recommending and executing a strike to a "dangerously thin" line. Hawkins said the military's use of AI assistance follows a rigorous process aligned with U.S. policy, military doctrine and the law. Artificial intelligence helps analysts whittle down what they need to focus on, generating so-called points of interest and helping personnel make "smart" decisions in the Iran operations, he told me. AI is also helping to pull data within systems and organize information to provide clarity.
Among the AI tech used in the Iran campaign is Maven Smart System, a digital mission control platform produced by Palantir [...]. That emerged from Project Maven, a project started in 2017 by the Pentagon to develop AI for the battlefield. Among the large language models installed on the system is Anthropic's Claude AI tool, according to the people, who said it has become central to U.S. operations against Iran and to accelerating Maven's development. Claude is also at the center of a row that pits Anthropic against the Department of Defense over limits on the software. Further reading: Hacked Tehran Traffic Cameras Fed Israeli Intelligence Before Strike On Khamenei
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Ancient Slashdot reader ewhac writes: The maintainers of the Python package `chardet`, which attempts to automatically detect the character encoding of a string, announced the release of version 7 this week, claiming a speedup factor of 43x over version 6. In the release notes, the maintainers claim that version 7 is, "a ground-up, MIT-licensed rewrite of chardet." Problem: The putative "ground-up rewrite" is actually the result of running the existing copyrighted codebase and test suite through the Claude LLM. In so doing, the maintainers claim that v7 now represents a unique work of authorship, and therefore may be offered under a new license. Version 6 and earlier was licensed under the GNU Lesser General Public License (LGPL). Version 7 claims to be available under the MIT license.
The maintainers appear to be claiming that, under the Oracle v. Google decision, which found that cloning public APIs is fair use, their v7 is a fair use re-implementation of the `chardet` public API. However, there is no evidence to suggest their re-write was under "clean room" conditions, which traditionally has shielded cloners from infringement suits. Further, the copyrightability of LLM output has yet to be settled. Recent court decisions seem to favor the view that LLM output is not copyrightable, as the output is not primarily the result of human creative expression -- the endeavor copyright is intended to protect. Spirited discussion has ensued in issue #327 on `chardet`s GitHub repo, raising the question: Can copyrighted source code be laundered through an LLM and come out the other end as a fresh work of authorship, eligible for a new copyright, copyright holder, and license terms? If this is found to be so, it would allow malicious interests to completely strip-mine the Open Source commons, and then sell it back to the users without the community seeing a single dime.
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An anonymous reader quotes a report from Ars Technica: Hayden AI, a San Francisco startup that makes spatial analytics tools for cities worldwide, has sued its co-founder and former CEO, alleging that he stole a large quantity of proprietary information in the days leading up to his ouster from the company in September 2024. In a lawsuit filed late last month in San Francisco Superior Court but only made public this week, Hayden AI claims that former CEO Chris Carson undertook what it called "numerous fraudulent actions," which include "forged board signatures, unauthorized stock sales, and improper allocation of personal expenses." [...] Hayden AI, which is worth $464 million according to an estimated valuation on PitchBook, has asked the court to impose preliminary injunctive relief, requiring Carson to either return or destroy the data he allegedly stole. Specifically, the lawsuit alleges that Carson secretly sold over $1.2 million in company stock, forged board signatures, and copied 41GB of proprietary company emails before being fired in September 2024. The complaint also claims Carson fabricated key parts of his resume, including a PhD and military service. It's a "carefully constructed fraud," says Hayden AI.
"That is a lie," the complaint states. "Carson does not hold a PhD from Waseda or any other university. In 2007, he was not obtaining a PhD but was operating 'Splat Action Sports,' a paintball equipment business in a Florida strip mall."
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Security updates have been issued by Debian (chromium), Fedora (freerdp, libsixel, opensips, and yt-dlp), Mageia (python-django, rsync, and vim), Red Hat (go-rpm-macros and osbuild-composer), SUSE (7zip, assertj-core, autogen, c3p0, cockpit-machines, cockpit, cockpit-repos, containerized-data-importer, cpp-httplib, docker, docker-stable, expat, firefox, gnutls, go1.25-openssl, golang-github-prometheus-prometheus, haproxy, ImageMagick, incus, kernel, kubevirt, libsoup, libsoup2, mchange-commons, ocaml, openCryptoki, openvpn, php-composer2, postgresql14, postgresql15, python-Authlib, python-azure-core, python-nltk, python-urllib3_1, python311-Django4, python311-pillow-heif, python311-PyPDF2, python313, python313-Django6, qemu, rhino, roundcubemail, ruby4.0-rubygem-rack, sdbootutil, and wicked2nm), and Ubuntu (less, nss, python-bleach, qtbase-opensource-src, and zutty).
A Florida woman was sentenced to 22 months in federal prison and fined $50,000 for illegally trafficking thousands of Microsoft certificate-of-authenticity labels used to activate Windows and Office. Prosecutors said she bought genuine labels cheaply from suppliers and resold them without the accompanying licensed software, wiring over $5 million during the scheme. TechRadar reports: The indictment details how [52-year-old Heidi Richards] purchased tens of thousands of genuine COA labels from a Texas-based supplier between 2018 and 2023 for well below the retail value, before reselling them in bulk to customers globally without the licensed software. "COA labels are not to be sold separately from the license and hardware that they are intended to accompany, and they hold no independent commercial value," the US Attorney's Office wrote.
Richards was found to have wired $5,148,181.50 to the unnamed Texas company during the scheme's operation. Some examples include the purchase of 800 Windows 10 COA labels in July 2018 for $22,100 (under $28 each) and a further 10,000 Windows 10 Pro COA labels in December 2022 for $200,000 ($20 each). Ultimately fined $50,000 and given a near-two-year sentence, prosecutors had sought to get Richards to pay $242,000, "which represents the proceeds obtained from the offenses."
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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.
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A recently-revised Senate authorization bill (PDF), co-sponsored by Senate Commerce Committee Chair Ted Cruz, would extend the International Space Station's lifespan from 2030 to 2032 while pushing NASA to accelerate plans for commercial space stations to replace it. Ars Technica's Eric Berger reports: Regarding NASA's support for the development of commercial space stations, the bill mandates the following, within specified periods, of passage of the law:
- Within 60 days, publicly release the requirements for commercial space stations in low-Earth orbit
- Within 90 days, release the final "request for proposals" to solicit industry responses
- Within 180 days, enter into contracts with "two or more" commercial providers for such stations
Cruz is trying to inject urgency into NASA as several private companies -- including Axiom Space, Blue Origin, Vast, and Voyager -- are finalizing designs for space stations. All have expressed a desire for clarity from NASA on how long the space agency would like its astronauts to stay on board, the types of scientific equipment needed, and much more. These are known as "requirements" in NASA parlance.
[...] Cruz and other senators on the committee appear to share those concerns, as their legislation extends the International Space Station's lifespan from 2030 to 2032 (an extension must still be approved by international partners, including Russia). Moreover, the authorization bill states, "The Administrator shall not initiate the de-orbit of the ISS until the date on which a commercial low-Earth orbit destination has reached an initial operational capability." With this legislation, the U.S. Senate is making clear that it views a permanent human presence in low-Earth orbit as a high priority. This version of the authorization legislation must still be passed by the full Senate and work its way through the House of Representatives.
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An anonymous reader quotes a report from 80 Level: Microsoft has officially confirmed development of its next-generation Xbox console, currently known internally as Project Helix. While concrete details remain limited, early information suggests the company is positioning the device as a hybrid between a traditional console and a gaming PC, capable of running both Xbox titles and PC games. The codename was revealed recently by new Xbox CEO Asha Sharma, who reaffirmed Microsoft's continued commitment to dedicated gaming hardware despite speculation that the company might shift entirely toward cloud or platform-based ecosystems. According to Sharma, Project Helix represents the next step in Xbox's console strategy.
Although official specifications have not yet been announced, early reports indicate the system will likely rely on a new AMD system-on-chip combining Xbox hardware with PC-style architecture. The device is expected to emphasize high performance while maintaining compatibility with existing Xbox game libraries. [...] If the concept holds, Project Helix could mark a significant shift in how console ecosystems are structured, moving away from tightly closed hardware platforms toward something closer to a unified PC-console environment. Sharma wrote in a post on X: "Great start to the morning with Team Xbox, where we talked about our commitment to the return of Xbox, including Project Helix, the code name for our next generation console. Project Helix will lead in performance and play your Xbox and PC games. Looking forward to chatting about this more with partners and studios at my first GDC next week!"
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An anti-corruption group has filed a lawsuit (PDF) against Donald Trump and Attorney General Pam Bondi over the deal that transferred TikTok's U.S. operations to a group of investors tied to the administration. The suit claims the arrangement violates a 2024 law requiring ByteDance to divest and alleges the deal financially benefited Trump allies while leaving the platform's algorithm under Chinese ownership. NBC News reports: The suit, filed by the Public Integrity Project, a law firm that seeks to raise the "reputational cost of corruption in America," argues the deal violates a law intended to prevent the spread of Chinese government propaganda and has enriched Trump's allies. That law, signed by then-President Joe Biden in 2024, said that TikTok couldn't be distributed in the United States unless the Chinese company ByteDance found an American-based corporate home by the day before Donald Trump returned to office. The law was upheld by the Supreme Court.
"The law was clear, but it was never enforced," says the lawsuit, filed Thursday in the U.S. Court of Appeals for the District of Columbia Circuit. "Shortly after the deadline to divest passed, President Trump issued an executive order purportedly granting an extension for TikTok to find a domestic owner and directed his Attorney General not to enforce the law." The plaintiffs in the suit are two software engineers from California: One is a shareholder in Alphabet Inc., YouTube's parent company; the other is a shareholder in Meta Platforms, Inc., which is Instagram's parent company. Both say they suffered financially due to the non-enforcement of the law. "The original motivation for this law was to prevent the Chinese government from pushing propaganda onto American audiences," said Brendan Ballou, CEO of the Public Integrity Project and a former Justice Department prosecutor. "The deal that the president approved is the absolute worst of all possible worlds, because right now ByteDance continues to own the algorithm, which means that it can censor the content that it doesn't like, but at the same time Oracle controls the data and it can censor the information that it doesn't like. Really it's a situation that's going to be terrible for users, and terrible for free speech on the platform."
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An anonymous reader quotes a report from Ars Technica: AMD has been selling "Ryzen AI"-branded laptop processors for around a year and a half at this point. In addition to including modern CPU and GPU architectures, these are attempting to capitalize on the generative AI craze by offering chips with neural processing units (NPUs) suitable for running language and image-generation models locally, rather than on some company's server. But so far, AMD's desktop chips have lacked both these higher-performance NPUs and the Ryzen AI label. That changes today, at least a little: AMD is announcing its first three Ryzen AI chips for desktops using its AM5 CPU socket. These Ryzen AI 400-series CPUs are direct replacements for the Ryzen 8000G processors, rather than the Ryzen 9000-series, and they combine Zen 5-based CPU cores, RDNA 3.5 GPU cores, and an NPU capable of 50 trillion operations per second (TOPS). This makes them AMD's first desktop chips to qualify for Microsoft's Copilot+ PC label, which enables a handful of unique Windows 11 features like Recall and Click to Do.
The six chips AMD is announcing today -- the 65 W Ryzen AI 7 Pro 450G, Ryzen AI 5 Pro 440G, and Ryzen AI 5 Pro 435G, along with low-power 35 W "GE" variants -- all bear AMD's "Ryzen Pro" branding as well, which means they support a handful of device management capabilities that are important for business PCs managed by IT departments. At this point, it doesn't seem as though AMD will be offering boxed versions to regular consumers; the Ryzen AI desktop chips will appear mainly in business PCs that don't need a dedicated graphics card but still benefit from more robust graphics than AMD offers in regular Ryzen desktop CPUs. Like past G-series Ryzen chips, these are essentially laptop silicon repackaged for desktop systems. They share most of their specs in common with Ryzen AI 300 laptop processors, despite their Ryzen AI 400-series branding. The two chip generations are extremely similar overall, but the Ryzen AI 400-series laptop CPUs include slightly faster 55 TOPS NPUs.
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