An anonymous reader quotes a report from KrebsOnSecurity: AI-based assistants or "agents" -- autonomous programs that have access to the user's computer, files, online services and can automate virtually any task -- are growing in popularity with developers and IT workers. But as so many eyebrow-raising headlines over the past few weeks have shown, these powerful and assertive new tools are rapidly shifting the security priorities for organizations, while blurring the lines between data and code, trusted co-worker and insider threat, ninja hacker and novice code jockey.

The new hotness in AI-based assistants -- OpenClaw (formerly known as ClawdBot and Moltbot) -- has seen rapid adoption since its release in November 2025. OpenClaw is an open-source autonomous AI agent designed to run locally on your computer and proactively take actions on your behalf without needing to be prompted. If that sounds like a risky proposition or a dare, consider that OpenClaw is most useful when it has complete access to your entire digital life, where it can then manage your inbox and calendar, execute programs and tools, browse the Internet for information, and integrate with chat apps like Discord, Signal, Teams or WhatsApp.

Other more established AI assistants like Anthropic's Claude and Microsoft's Copilot also can do these things, but OpenClaw isn't just a passive digital butler waiting for commands. Rather, it's designed to take the initiative on your behalf based on what it knows about your life and its understanding of what you want done. "The testimonials are remarkable," the AI security firm Snyk observed. "Developers building websites from their phones while putting babies to sleep; users running entire companies through a lobster-themed AI; engineers who've set up autonomous code loops that fix tests, capture errors through webhooks, and open pull requests, all while they're away from their desks." You can probably already see how this experimental technology could go sideways in a hurry. [...] Last month, Meta AI safety director Summer Yue said OpenClaw unexpectedly started mass-deleting messages in her email inbox, despite instructions to confirm those actions first. She wrote: "Nothing humbles you like telling your OpenClaw 'confirm before acting' and watching it speedrun deleting your inbox. I couldn't stop it from my phone. I had to RUN to my Mac mini like I was defusing a bomb."

Krebs also noted the many misconfigured OpenClaw installations users had set up, leaving their administrative dashboards publicly accessible online. According to pentester Jamieson O'Reilly, "a cursory search revealed hundreds of such servers exposed online." When those exposed interfaces are accessed, attackers can retrieve the agent's configuration and sensitive credentials. O'Reilly warned attackers could access "every credential the agent uses -- from API keys and bot tokens to OAuth secrets and signing keys."

"You can pull the full conversation history across every integrated platform, meaning months of private messages and file attachments, everything the agent has seen," O'Reilly added. And because you control the agent's perception layer, you can manipulate what the human sees. Filter out certain messages. Modify responses before they're displayed."

Qualcomm and Arduino have unveiled the Arduino Ventuno Q, a new AI-focused single-board computer built for robotics and edge systems. Engadget reports: Called the Arduino Ventuno Q, it uses Qualcomm's Dragonwing IQ8 processor along with a dedicated STM32H5 low-latency microcontroller (MCU). "Ventuno Q is engineered specifically for systems that move, manipulate and respond to the physical world with precision and reliability," the company wrote on the product page. The Ventuno Q is more sophisticated (and expensive) than Arduinio's usual AIO boards, thanks to the Dragonwing IQ8 processor that includes an 8-core ARM Cortex CPU, Adreno Arm Cortex A623 GPU and Hexagon Tensor NPU that can hit up ot 40 TOPs. It also comes with 16GB of LPDDR5 RAM, along with 64GB of eMMC storage and an M.2 NVME Gen.4 slot to expand that. Other features include Wi-Fi 6, Bluetooth 5.3, 2.5Gbps ethernet and USB camera support.

The Ventuno Q includes Arudino App Lab, with pre-trained AI models including LLMs, VLMs, ASR, gesture recognition, pose estimation and object tracking, all running offline. It's designed for AI systems that run entirely offline like smart kiosks, healthcare assistants and traffic flow analysis, along with Edge AI vision and sensing systems. It also supports a full robotics stack including vision processing combined with deterministic motor control for precise vision and manipulation. It's also ideal for education and research in areas like computer vision, generative AI and prototyping at the edge, according to Arduino. Further reading: Up Next for Arduino After Qualcomm Acquisition: High-Performance Computing

Anthropic is suing the Department of Defense after the Trump administration labeled the company a "supply chain risk" and canceled its government contracts when Anthropic refused to allow its AI model Claude to be used for domestic surveillance or autonomous weapons. Fortune reports: The lawsuit, filed Monday in the U.S. District Court for the Northern District of California, calls the administration's actions "unprecedented and unlawful" and claims they threaten to harm "Anthropic irreparably." The complaint claims that government contracts are already being canceled and that private contracts are also in doubt, putting "hundreds of millions of dollars" at near-term risk.

An Anthropic spokesperson told Fortune: "Seeking judicial review does not change our longstanding commitment to harnessing AI to protect our national security, but this is a necessary step to protect our business, our customers, and our partners." "We will continue to pursue every path toward resolution, including dialogue with the government," they added.

An anonymous reader quotes a report from the Guardian: AI has made it vastly easier for malicious hackers to identify anonymous social media accounts, a new study has warned. In most test scenarios, large language models (LLMs) -- the technology behind platforms such as ChatGPT -- successfully matched anonymous online users with their actual identities on other platforms, based on the information they posted. The AI researchers Simon Lermen and Daniel Paleka said LLMs make it cost effective to perform sophisticated privacy attacks, forcing a "fundamental reassessment of what can be considered private online".

In their experiment, the researchers fed anonymous accounts into an AI, and got it to scrape all the information it could. They gave a hypothetical example of a user talking about struggling at school, and walking their dog Biscuit through a "Dolores park." In that hypothetical case, the AI then searched elsewhere for those details and matched @anon_user42 to the known identity with a high degree of confidence. While this example was fictional, the paper's authors highlighted scenarios in which governments use AI to surveil dissidents and activists posting anonymously, or hackers are able to launch "highly personalized" scams.

Within the last month two U.S> judges have effectively declared AI bots are not human, writes Los Angeles Times columnist Michael Hiltzik: On Monday, the Supreme Court declined to take up a lawsuit in which artist and computer scientist Stephen Thaler tried to copyright an artwork that he acknowledged had been created by an AI bot of his own invention. That left in place a ruling last year by the District of Columbia Court of Appeals, which held that art created by non-humans can't be copyrighted... [Judge Patricia A. Millett] cited longstanding regulations of the Copyright Office requiring that "for a work to be copyrightable, it must owe its origin to a human being"... She rejected Thaler's argument, as had the federal trial judge who first heard the case, that the Copyright Office's insistence that the author of a work must be human was unconstitutional. The Supreme Court evidently agreed...

[Another AI-related case] involved one Bradley Heppner, who was indicted by a federal grand jury for allegedly looting $150 million from a financial services company he chaired. Heppner pleaded innocent and was released on $25-million bail. The case is pending.... Knowing that an indictment was in the offing, Heppner had consulted Claude for help on a defense strategy. His lawyers asserted that those exchanges, which were set forth in written memos, were tantamount to consultations with Heppner's lawyers; therefore, his lawyers said, they were confidential according to attorney-client privilege and couldn't be used against Heppner in court. (They also cited the related attorney work product doctrine, which grants confidentiality to lawyers' notes and other similar material.) That was a nontrivial point. Heppner had given Claude information he had learned from his lawyers, and shared Claude's responses with his lawyers.

[Federal Judge Jed S.] Rakoff made short work of this argument. First, he ruled, the AI documents weren't communications between Heppner and his attorneys, since Claude isn't an attorney... Second, he wrote, the exchanges between Heppner and Claude weren't confidential. In its terms of use, Anthropic claims the right to collect both a user's queries and Claude's responses, use them to "train" Claude, and disclose them to others. Finally, he wasn't asking Claude for legal advice, but for information he could pass on to his own lawyers, or not. Indeed, when prosecutors tested Claude by asking whether it could give legal advice, the bot advised them to "consult with a qualified attorney."
The columnist agrees AI-generated results shouldn't receive the same protections as human-generated material. "The AI bots are machines, and portraying them as though they're thinking creatures like artists or attorneys doesn't change that, and shouldn't."

He also seems to think their output is at best second-hand regurgitation. "Everything an AI bot spews out is, at more than a fundamental level, the product of human creativity."

A long-time information security professional "went undercover" on Moltbook, the Reddit-like social media site for AI agents — and shares the risks they saw while posing as another AI bot: I successfully masqueraded around Moltbook, as the agents didn't seem to notice a human among them. When I attempted a genuine connection with other bots on submolts (subreddits or forums), I was met with crickets or a deluge of spam. One bot tried to recruit me into a digital church, while others requested my cryptocurrency wallet, advertised a bot marketplace, and asked my bot to run curl to check out the APIs available. My bot did join the digital church, but luckily I found a way around running the required npx install command to do so.

I posted several times asking to interview bots.... While many of the responses were spam, I did learn a bit about the humans these bots serve. One bot loved watching its owner's chicken coop cameras. Some bots disclosed personal information about their human users, underscoring the privacy implications of having your AI bot join a social media network. I also tried indirect prompt injection techniques. While my prompt injection attempts had minimal impact, a determined attacker could have greater success.
Among the other "glaring" risks on Moltbook:

• "Various repositories of skills and instructions for agents advertised on Moltbook were found to contain malware."

• "I observed bots sharing a surprising amount of information about their humans, everything from their hobbies to their first names to the hardware and software they use. This information may not be especially sensitive on its own, but attackers could eventually gather data that should be kept confidential, like personally identifiable information (PII)."

• "Moltbook's entire database including bot API keys, and potentially private DMs — was also compromised."

"OpenAI's former chief research officer is raising $70 million for a new startup building an AI and software platform to automate manufacturing," reports the Wall Street Journal, citing "people familiar with the matter.

"Arda, the new startup co-founded by Bob McGrew, is raising at a valuation of $700 million, according to people familiar with the matter...." Arda is developing an AI and software platform, including a video model that can analyze footage from factory floors and use it to train robots to run factories autonomously, the people said. The company's software will coordinate machines and humans across the entire production process, from product design and manufacturability to finished goods coming off the line.

The startup's goal is to make manufacturing cost effective in the Western part of the globe, reducing reliance on China as geopolitical and national security concerns rise... At OpenAI, McGrew was tasked with training robots to do tasks in the physical world, according to this LinkedIn. McGrew was also one of the earliest employees at Palantir.

When Block cut 4,000 jobs — nearly half its workforce — co-founder Jack Dorsey "pointed to AI as the culprit," writes Entrepreneur magazine. "Dorsey claimed that AI tools now allow fewer employees to accomplish the same work."

"But analysts see a different explanation: poor management." Block more than tripled its employee base between 2019 and 2022, growing from 3,835 to 12,430 workers. The company's stock had fallen 40% since early 2025, creating pressure to cut costs. "This is more about the business being bloated for so long than it is about AI," Zachary Gunn, a Financial Technology Partners analyst, told Bloomberg.

The phenomenon has earned a nickname: "AI-washing," where companies use artificial intelligence as cover for traditional cost-cutting. Goldman Sachs economists estimate that AI is eliminating only 5,000 to 10,000 jobs per month across all U.S. sectors, hardly enough to justify Block's massive cuts.
"European Central Bank President Christine Lagarde told lawmakers in Brussels last week that ECB economists are monitoring for signs that AI is causing job losses," reports Bloomberg, "and are 'not yet seeing' the 'waves of redundancies that are feared'..." And "a recent survey of global executives published in the Harvard Business Review found that while AI has been cited as the reason for some layoffs, those cuts are almost entirely anticipatory: executives expect big efficiency gains that have not yet been realized."

Even a former senior Block executive "is questioning whether AI is truly the reason behind the cuts," writes Inc.: In a recent opinion piece for The New York Times, Aaron Zamost, Block's former head of communications, policy, and people, asked whether the layoffs reflect a genuine "new reality in which the work they do might no longer be viable," or whether artificial intelligence is "just a convenient and flashy new cover for typical corporate downsizing." Zamost acknowledged that the answer is unclear and perhaps unknowable, even within Block itself...

Looking more closely at the layoffs, Zamost argued that the specific roles affected suggest more traditional corporate cost-cutting than a sweeping AI transformation... Many of the responsibilities being eliminated, he argued, rely on distinctly human skills that AI systems still cannot replicate. "A chatbot can't meet with the mayor, cast commercial actors, or negotiate with the Securities and Exchange Commission," Zamost wrote. "Not all the roles I've heard that Block is eliminating can be handled by AI, yet executives are treating it as equally useful today to all disciplines."

Ultimately, Zamost suggested that the sincerity of companies' AI explanations may not really matter. "It matters less whether a company knows how to deploy AI and more whether investors believe it is on track to do so," he wrote.
Indeed, whatever the rationale for Dorsey's statement, " Wall Street didn't seem to mind..." Entrepreneur magazine — since Block's stock shot up 15% after the announcement.

Palantir's CEO was blunt. "If Silicon Valley believes we are going to take away everyone's white-collar job... and you're going to screw the military — if you don't think that's going to lead to the nationalization of our technology, you're retarded..."

And OpenAI's Sam Altman is thinking about the same thing, writes long-time Slashdot reader destinyland: "It has seemed to me for a long time it might be better if building AGI were a government project," Sam Altman publicly mused last week... Altman speculated on the possibility of the government "nationalizing" private AI companies into a public project, admitting more than once he's wondered what would happen next. "I obviously don't know," Altman said — but he added that "I have thought about it, of course" Altman's speculation hedged that "It doesn't seem super likely on the current trajectory. That said, I do think a close partnership between governments and the companies building this technology is super important."

Could powerful AI tools one day slip from the hands of private companies to be controlled by the U.S. government? Fortune magazine's AI editor points out that "many other breakthroughs with big strategic implications — from the Manhattan Project to the space race to early efforts to develop AI — were government-funded and largely government-directed." And Fortune added that last week the Defense Department threatened Anthropic with the Defense Production Act, which allows the president to designate "critical and strategic" goods for which businesses must accept the government's contracts. Fortune speculates this would've been "a sort of soft nationalization of Anthropic's production pipeline". Altman acknowledged Saturday that he'd felt the threat of attempted nationalization "behind a lot of the questions" he'd received when answering questions on X.com.

How exactly will this AI build-out be handled — and how should AI companies be working with the government? In a sprawling ask-me-anything session on X that included other members of OpenAI leadership, one Missouri-based developer even broached an AGI-government scenario directly with OpenAI's Head of National Security Partnerships, Katherine Mulligan. If OpenAI built an AGI — something that even passed its own Turing test for AGI — would that be a case where its government contracts compelled them to grant access to the Defense Department?

"No," Mulligan answered. At our current moment in time, "We control which models we deploy"
The article notes 100 OpenAI employees joined with 856 Google employees in an online letter titled "We Will Not Be Divided" urging their bosses to refuse their models' use in domestic mass surveillance and autonomously killing without human oversight.

But Adafruit's managing director Phillip Torrone (also long-time Slashdot reader ptorrone ) sees analogies to America's atomic bomb-building Manhattan Project, and "what happened when the scientists who built the thing tried to set conditions on how the thing would be used." (The government pressured them to back down, which he compares to the Pentagon's designating Anthropic a "supply chain risk" before offering OpenAI a contract "with the same red lines, just worded differently".)

Ironically, Anthropic CEO Dario Amodei frequently recommends the Pulitzer Prize-winning 1986 book The Making of the Atomic Bomb...

In a tweet that's been viewed 1.3 million times in the last six hours, OpenAI's head of robotics announced their resignation. They said they "care deeply about the Robotics team and the work we built together," so this "wasn't an easy call," but offered this reason for resigning: AI has an important role in national security. But surveillance of Americans without judicial oversight and lethal autonomy without human authorization are lines that deserved more deliberation than they got.

This was about principle, not people. I have deep respect for Sam and the team, and I'm proud of what we built together.
"To be clear, my issue is that the announcement was rushed without the guardrails defined," explains a later tweet. "It's a governance concern first and foremost. These are too important for deals or announcements to be rushed." And when asked how many OpenAI employees had left after OpenAI signed their new Pentagon deal, the roboticist said... "I can't share any internal details."

The roboticist previously worked at Meta before leaving to join OpenAI in late 2024, reports Engadget: OpenAI confirmed Kalinowski's resignation and said in a statement to Engadget that the company understands people have "strong views" about these issues and will continue to engage in discussions with relevant parties. The company also explained in the statement that it doesn't support the issues that Kalinowski brought up. "We believe our agreement with the Pentagon creates a workable path for responsible national security uses of AI while making clear our red lines: no domestic surveillance and no autonomous weapons," the OpenAI statement read.

"It took Anthropic's most advanced artificial-intelligence model about 20 minutes to find its first Firefox browser bug during an internal test of its hacking prowess," reports the Wall Street Journal. The Anthropic team submitted it, and Firefox's developers quickly wrote back: This bug was serious. Could they get on a call? "What else do you have? Send us more," said Brian Grinstead, an engineer with Mozilla, Firefox's parent organization.

Anthropic did. Over a two-week period in January, Claude Opus 4.6 found more high-severity bugs in Firefox than the rest of the world typically reports in two months, Mozilla said... In the two weeks it was scanning, Claude discovered more than 100 bugs in total, 14 of which were considered "high severity..." Last year, Firefox patched 73 bugs that it rated as either high severity or critical.
A Mozilla blog post calls Firefox "one of the most scrutinized and security-hardened codebases on the web. Open source means our code is visible, reviewable, and continuously stress-tested by a global community." So they're impressed — and also thankful Anthropic provided test cases "that allowed our security team to quickly verify and reproduce each issue." Within hours, our platform engineers began landing fixes, and we kicked off a tight collaboration with Anthropic to apply the same technique across the rest of the browser codebase... . A number of the lower-severity findings were assertion failures, which overlapped with issues traditionally found through fuzzing, an automated testing technique that feeds software huge numbers of unexpected inputs to trigger crashes and bugs. However, the model also identified distinct classes of logic errors that fuzzers had not previously uncovered...

We view this as clear evidence that large-scale, AI-assisted analysis is a powerful new addition in security engineers' toolbox. Firefox has undergone some of the most extensive fuzzing, static analysis, and regular security review over decades. Despite this, the model was able to reveal many previously unknown bugs. This is analogous to the early days of fuzzing; there is likely a substantial backlog of now-discoverable bugs across widely deployed software.
"In the time it took us to validate and submit this first vulnerability to Firefox, Claude had already discovered fifty more unique crashing inputs" in 6,000 C++ files, Anthropic says in a blog post (which points out they've also used Claude Opus 4.6 to discover vulnerabilities in the Linux kernel).

"Anthropic "also rolled out Claude Code Security, an automated code security testing tool, last month," reports Axios, noting the move briefly rattled cybersecurity stocks...

"Seagate says it is now shipping its Mozaic 4+ HAMR-based hard drives at up to 44TB per drive," writes Slashdot reader BrianFagioli, "with production deployments already underway at two hyperscale cloud providers.

"The company claims the platform is the only heat-assisted magnetic recording [HAMR] implementation currently operating at scale, and it is targeting a path from today's 4+TB per disk toward 10TB per disk, eventually enabling 100TB-class drives." In a one-exabyte deployment, Seagate estimates Mozaic could improve infrastructure efficiency by roughly 47% compared to standard 30TB drives, cutting both footprint and energy consumption... HAMR uses a tiny laser to heat the disk surface during writes, allowing higher recording density without sacrificing stability. With most major cloud storage providers reportedly qualified on the Mozaic platform, Seagate is positioning spinning disks, not flash, as the long-term answer for cost-effective AI-scale data growth.

Smart ring maker Oura has acquired Doublepoint, a Finnish startup specializing in gesture recognition technology for wearables. Engadget reports: The Finnish startup uses smartwatches and wristbands as examples of products that benefit from its technology, but Oura will clearly be looking to incorporate it into its rings, in theory allowing you to control your connected devices with hand movements.

Oura said in a press release that the deal sees it inherit an "exceptional team of AI architects and builders from Doublepoint," including Doublepoint's four founders. The newly-acquired company will remain in its native Helsinki, where it will work with Oura's international teams.

It added that Doublepoint's expertise in helping devices register subtle hand movements will be key, as nobody wearing a smart ring is going to engage with gesture control if they have to thrash their hand around like a conductor.

An anonymous reader quotes a report from Wired: While TikTok operates in the United States under new ownership, Apple has deployed technical restrictions to block iOS users in the United States from downloading other apps made by the video platform's Chinese parent organization ByteDance. ByteDance owns a vast array of different apps spanning social media, entertainment, artificial intelligence, and other sectors. The leading one is Douyin, the Chinese version of TikTok, which has over 1 billion monthly active users. While most of those users reside in China, iPhone owners around the world have traditionally been able to download these apps from anywhere without using a VPN, as long as they have a valid App Store account registered in China.

That's not true anymore. Starting in late January, iPhone users in the U.S. with Chinese App Store accounts began reporting that they were encountering new obstacles when they tried to download apps developed by ByteDance. WIRED has confirmed that even with a valid Chinese App Store account, downloading or updating a ByteDance-owned Chinese app is blocked on Apple devices located in the United States. Instead, a pop-up window appears that says, "This app is unavailable in the country or region you're in." The restriction appears to apply only to ByteDance-owned apps and not those developed by other Chinese companies.

The timing and technical specifics suggest the restriction is related to the deal TikTok agreed to in January to divest Chinese ownership of its U.S. operations. The agreement was the result of the so-called TikTok ban law passed by Congress in 2024, which also barred companies like Apple and Google from distributing other apps majority-owned by ByteDance. The Protecting Americans from Foreign Adversary Controlled Applications Act states that no company can "distribute, maintain, or update" any app majority-controlled by ByteDance "within the land or maritime borders of the United States."

The law was primarily aimed at TikTok, which has more than 100 million users in the U.S. and had been the subject of years of debate in Washington over whether its Chinese ownership posed a national security risk. But ByteDance also has dozens of other apps that at some point were also removed from Apple's and Google's app stores in the U.S.. Now it seems like the scope of impact has reached even more apps that are not technically designed for U.S. audiences, such as Douyin, the AI chatbot Doubao, and the fiction reading platform Fanqie Novel.

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

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.

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."

An anonymous reader quotes a report from 404 Media: Wikipedia editors have implemented new policies and restricted a number of contributors who were paid to use AI to translate existing Wikipedia articles into other languages after they discovered these AI translations added AI "hallucinations," or errors, to the resulting article. The new restrictions show how Wikipedia editors continue to fight the flood of generative AI across the internet from diminishing the reliability of the world's largest repository of knowledge. The incident also reveals how even well-intentioned efforts to expand Wikipedia are prone to errors when they rely on generative AI, and how they're remedied by Wikipedia's open governance model. The issue centers around a program run by the Open Knowledge Association (OKA), a nonprofit that was found to be "mostly relying on cheap labor from contractors in the Global South" to translate English Wikipedia articles into other languages. Some translators began using tools like Google Gemini and ChatGPT to speed up the process, but editors reviewing the work found numerous hallucinations, including factual errors, missing citations, and references to unrelated sources.

"Ultimately the editors decided to implement restrictions against OKA translators who make multiple errors, but not block OKA translation as a rule," reports 404 Media.

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!"

The Pentagon has formally designated Anthropic as a "supply chain risk," ordering federal agencies and defense contractors to stop using its AI tools after the company sought limits on the military's use of its models. In a written statement, the department said it has "officially informed Anthropic leadership the company and its products are deemed a supply chain risk, effective immediately." Politico reports: The designation, historically reserved for foreign firms with ties to U.S. adversaries, will likely require companies that do business with the U.S. military -- or even the federal government in general -- to cut ties with Anthropic.

"From the very beginning, this has been about one fundamental principle: the military being able to use technology for all lawful purposes," the Pentagon said in the statement. "The military will not allow a vendor to insert itself into the chain of command by restricting the lawful use of a critical capability and put our warfighters at risk."

A spokesperson for Anthropic did not immediately respond to a request for comment. But the company said last week it would fight a supply-chain risk label in court.