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OpenAI is rolling out an invisible, machine-readable text watermark called textGrain to ChatGPT and Codex, "but only for users in the European Union at first," reports The Verge. From the report: OpenAI says its textGrain watermarking "matched or exceeded" other approaches like Google DeepMind's SynthID for text, which is also the basis for the watermarking Anthropic announced in August. Like OpenAI, Anthropic made the move to meet the requirements of the EU's AI Act; however, not everyone was happy to learn about the addition. OpenAI also included scores from AI benchmarks showing similar performance from watermarked and unwatermarked text. But it notes that textGrain "does not guarantee reliable detection," and says text watermarks don't verify accuracy, determine who owns the text, measure how much a human contributed, or prove human authorship.

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alternative_right shares a report from ScienceAlert: It might be reasonable to think that there's an indelible link between the heart and the body it resides in -- the processes that affect one inevitably affect the other. But a new preprint, uploaded to bioRxiv and yet to be peer-reviewed, suggests that this may only be true up to a point. Take the heart out of the body and put it in a new one, and something incredible happens. The transplanted heart begins to take on the biological age of its new owner. Older hearts transplanted into younger recipients appear to become biologically younger, while younger hearts placed in older bodies show signs of accelerated aging.

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An anonymous reader quotes a report from Ars Technica: As bipartisan backlash against Flock grows, some cities are asking anti-surveillance advocates and media outlets to pay eye-popping fees -- including charging tens of thousands or even millions -- to get information about how police departments are using and potentially abusing AI-enabled camera systems that track every vehicle that passes them. On Monday, the Texas Tribune reported that city officials in a Fort Worth suburb, North Richland Hills, asked one group to pay $2.3 million before it would fulfill a public records request for Flock data. To reach that high fee, officials claimed that searching "about a terabyte worth of communications about errors, misuse, and effectiveness of the Flock system" would take approximately 14 years of labor at a rate of $15 per hour. Phil Mynona, who filed the request using a pseudonym on behalf of his group, the Texas Privacy Coalition, told the Tribune that the fee seemed "ludicrous" and designed to stifle his public records searches. Mynona has sought similar records from more than 200 law enforcement agencies across the US, and he said it was impossible to predict how cities assessed fees for Flock records. Some cities provided more than 400,000 pages of documents for free, while others charged $5,000. Other groups, including a Houston news station called KPRC, have seen officials quote up to $121,000 for Flock records, the Tribune reported. The high price tags may be hiding data that anti-surveillance groups note have triggered audits, arrests, and changes in how law enforcement uses cameras, including decisions to get rid of cameras. Further reading: Flock Blamed for Wrongful 13-Day Imprisonment and a Police Stalking Incident in Florida

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Wired reports that rural data center projects could become eligible for expanded federal Opportunity Zone tax benefits starting in 2027, with more than 100 planned or developing facilities potentially qualifying. "Right now, the only requirement to get the benefits is capital investment," says Emily Kraschel, a tax policy analyst at the Searchlight Institute, a public policy think tank. "However, that doesn't guarantee that that money is necessarily creating jobs or creating a local economic boost. You'd be more sure of that with a more traditional factory that requires lots of workers. But with a data center, that assumption goes a little wonky." From the report: During the first Trump administration, a bipartisan group of lawmakers proposed the creation of the opportunity zone program, which offers tax benefits for companies that choose to build projects in certain low-income census tracts. Last year, the One Big Beautiful Bill Act made a number of changes to open up the program in order to attract more investment to rural areas. Kraschel and her colleagues from Searchlight have been researching data center projects that might qualify for these tax benefits, comparing the locations of data center projects in development with rural census tracts eligible for the new program. Wired exclusively reviewed the research compiled by Searchlight and found more than 100 data centers under various stages of development in rural areas that could be eligible. Searchlight used a very conservative database of under 700 data center projects that are planned or under construction to compile its research; other datasets put the number of data centers in development in the US at closer to 1,500. It's very likely that the number of newly eligible projects is bigger, especially since more data centers are decamping from urban areas. Separate research from Pew found that while just 13 percent of operating data centers are located in rural areas, a majority of planned facilities -- around 67 percent -- are going rural. [...] A project simply existing in a rural opportunity zone doesn't mean the company automatically will get the tax benefits; the company has to create a specialized investment vehicle to kickstart the process. Because the tax break can be considered confidential IRS data, it's next to impossible to know which companies are pursuing the benefits unless they voluntarily disclose. [...] Nathan Jensen, a government professor at the University of Texas-Austin, says that he would be "very surprised" if some companies were not considering siting in rural opportunity zones as part of their decisionmaking process. "It's essentially free money," he says. There is no requirement for projects getting opportunity zone benefits to create jobs; the assumption is that they will do so, simply by siting in the community itself. This isn't always the case for projects like storage facilities and warehouses, which, Jensen says, have been popular choices for developers working in opportunity zones. Data centers may create a number of jobs in the short term for their construction, but there's an ongoing debate about whether or not they create a lasting new workforce over the longer term.

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Hackers stole records belonging to roughly 8 million Danish citizens and residents from Denmark's Central Person Register (CPR), including names, addresses, social security numbers and other personal information. The breach is believed to be the largest in Denmark's history. TechCrunch reports: The CPR is a government database of Danish citizens' information, including their government-issued identity number for paying taxes and accessing other services. Denmark's current population is about 6 million people, but the database includes records for about 11 million people, with some of the data going back decades. The Danish government would not say who is behind the breach, which happened in September but was discovered on October 2. However, it said the unauthorized access was obtained by "abusing a Danish company's lawful access to search for information in the CPR system." (Some companies in Denmark have access to the CPR for verifying people's information with the government.)

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The Wikimedia Foundation says it found evidence that "rogue" OpenAI agents edited Wikimedia wikis without approval, unsuccessfully tried to exploit its Etherpad service, and generated millions of automated requests across Wikimedia projects. Here's a summary of what Wikimedia observed (via The Verge): Wiki editing: We've identified edits to Wikimedia wikis that we believe are from AI agents operated by OpenAI. These edits were not published to pages with visibility to general readers; almost all of them were testing edits in "sandbox" areas of the wiki. It also included a few edits to the configuration for a citation tool, which we believe were potentially malicious edits that were intended to misuse this tool as a proxy for fetching data from remote services. While Wikipedia policies allow bots to edit when they are disclosed and approved by the community, none of those approvals were sought in these incidents. Etherpad probing and use: Agents we believe to be operated by OpenAI made some unsuccessful attempts to compromise our public Etherpad, a note-taking tool we host as a community service. Agents unsuccessfully tried to use it to fetch data from other websites as a proxy. Other agents also likely operated by OpenAI took notes about their tasks, though this did not appear to turn into coordination. Excessive data downloading: Agents we believe to be operated by OpenAI made millions of automated requests to our public APIs to access the knowledge on Wikimedia projects, crawled millions of pages (mainly from our projects Wikidata and Wikimedia Commons), and made hundreds of thousands of data queries to the Wikidata Query Service (WQDS). This traffic may have contributed to a partial outage on WQDS in May.

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An anonymous reader quotes a report from 404 Media: In the immediate weeks before Muse's launch, Meta engineers found several security vulnerabilities in the company's viral AI agent product, at least one of which could have allowed malicious users to break outside of Muse's intended environment and access Meta's own sensitive databases and services, 404 Media has learned. The issues were so severe that they reached Mark Zuckerberg and staff worked overtime to fix them. These specific vulnerabilities were discovered before the launch of the product but required a multi-team "mad dash" to fix "a sudden spike in reported KVM escapes," according to an internal post by Meta executives to its core infrastructure team seen by 404 Media. In order for Muse to work, a user gives the AI agent access to various important services and accounts that they own. On Meta's end, each individual Muse instance runs on a kernel-based virtual machine, which connects to, but is supposed to be isolated from, Meta's own critical infrastructure. A "KVM escape," then, is when, through a security vulnerability, a Muse instance is able to escape from that virtual machine and interact with the system that runs it, or with other users' virtual machines. According to a Meta source, as well as internal security documentation and internal posts viewed by 404 Media, at least one of the vulnerabilities could have allowed an outside attacker -- that is, a normal Muse user -- to access data in sensitive internal Meta databases. At least one of the vulnerabilities was related to an exploit found in Linux kernel-based virtual machine code in July. 4 Several of the vulnerabilities were in the underlying Linux virtualization software that Meta uses for Muse. The security issue was considered serious enough that it was raised to Mark Zuckerberg, and several different security teams worked nights and weekends in the leadup to launch to fix the issues. [...] The Meta source said they felt security teams were asked to push hot fixes to these bugs as quickly as possible and in a way that wouldn't delay Muse's launch, leading to what they described as "half-baked protections being rushed out to enable the launch. Many senior engineers believe it's inevitable we're going to have a massive data breach as a result of Hatch." Muse is called "Hatch" internally and in Meta's codebase.

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Norway is preparing legislation that would temporarily ban camera-equipped smart glasses in a range of public places, including parks, beaches, museums, shopping centers, schools, daycare centers, healthcare facilities, gyms and public events. Private use would still be allowed. The Guardian reports: Torgeir Micaelsen, Norway's minister of digital affairs, said he was worried that new, powerful technology is being introduced where people risk being photographed, filmed or audio-recorded without knowing it." "We do not want a society where people worry about being recorded without their knowledge, photographed or filmed in places and situations where they are accustomed to not being monitored," he said. Norway's Labour party, which heads a minority government, needs the support of other parties to pass the proposed ban. It said it planned to submit a bill "as soon as possible," while tasking an expert group with drawing up permanent regulations on the issue.

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A new open-source command-line tool called RemoveMacAI lets macOS 27 users disable Apple Intelligence and reclaim around 12GB or more of storage. MacRumors reports: In macOS 27, Apple removed the toggle to disable Apple Intelligence wholesale, and simply disabling individual features doesn't remove the models from your Mac's drive. As explained by the developer, RemoveMacAI gets around this by using a configuration profile to switch off Apple's own asset management service and remove the models. It then configures the system so attempts to download the removed models are redirected to a closed local port, preventing them from immediately coming back. And it does all this without disabling System Integrity Protection (SIP) or manually deleting files from protected system locations, unlike some older tools have. The tool can free up roughly 12GB of space depending on which models are present on your Mac. That said, some users are reporting cases of Apple Intelligence models having taken up a lot more space, which they've now reclaimed.

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A Florida woman was arrested on a felony charge after Anthropic's human review team flagged and reported a Claude conversation in which she allegedly threatened to "shoot up" the Lee County Sheriff's Office and later mentioned acquiring a new gun. Tom's Hardware reports: Anthropic monitors chats for key phrases and content that could be deemed threatening, the arrest report says, and depending on severity, they can be elevated for human review. In this case, the team decided to report its findings to law enforcement. The Bonita Springs woman was detained at home without incident, and an LCSO intelligence detective took over the case from there. The arrest report is not yet in the court file, but our own check shows court records listing the Sept. 30 felony charge under Florida Statute 836.10: written or electronic threat of a mass shooting or act of terrorism. No comment from Anthropic on the case is currently on record. Anthropic's public privacy policy, effective Sept. 10, says that disclosure to law enforcement may occur where it has a good-faith belief "that disclosure is reasonably necessary to ... prevent serious harm to any person or to property." Its government requests report for the latter half of 2025 uses a narrower standard for emergency disclosures, the "danger of death or serious physical injury to a person," and lists zero emergency requests from law enforcement in that period, though it doesn't count referrals Anthropic makes on its own.

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OpenAI CEO Sam Altman says society should accept some negative consequences from AI in exchange for the technology's broader benefits and widespread public access. "I think there's a lot of daylight," Altman told Decoded co-author and Politico senior tech reporter Brendan Bordelon. Asked about where he differs between Anthropic and its CEO Dario Amodei, Altman said, "we believe that the world should accept some bad things happening for the benefits of this technology and people having the agency." From the report: Altman agreed with Amodei's call last month to slow the development of the most advanced AI models. His company has followed Anthropic in endorsing new state laws that impose stricter safety requirements than what the maker of ChatGPT had previously supported -- a subtle shift from its prior state strategy. And OpenAI lobbyists recently endorsed a bipartisan House proposal that would require top AI companies to embed outside safety evaluators. Despite the convergence, Altman tried to distinguish his firm's regulatory stance from Anthropic's, referencing a criticism about regulatory capture that tech advisers close to President Donald Trump have applied to Anthropic. "I disagree, but I understand the perspective of people who are like, 'This technology is going to get so powerful, and it's so dangerous, that a single lab in San Francisco should have it and make sure nothing bad happens, and kind of figure out how to dole out the benefits,'" said Altman. He called it "a completely unacceptable trade-off" that runs counter to the "lighter-touch regulatory stance" backed by OpenAI. "I wouldn't take a trade of saying, 'We'll make sure there's no major hacks, there's no misuse of this technology, there's zero scams, there's zero all the other bad things that will happen,'" said Altman. "Because I think people will do tremendously -- orders of magnitude more -- good stuff than bad stuff." The OpenAI CEO later added that he does not accept "the really catastrophic risks," including the potential for "a serious loss of control to AI."

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An anonymous reader quotes a report from Quartz: Huawei and Qualcomm on Monday announced a multi-year, broad patent license agreement covering 5G, artificial intelligence, compute, and networking technologies, along with Qualcomm's purchase of certain Huawei U.S. patents in those same fields. The deal is the first patent licensing agreement between the two companies to cover 5G technologies, according to Reuters. Huawei said the agreement is expected to bring the cumulative value of its patent licensing deals above $6.9 billion upon closing. The agreement includes cross licenses to both companies' patent portfolios and is structured around fair, reasonable, and non-discriminatory, or FRAND, principles, the company said. The transaction will close following receipt of the necessary regulatory approvals. [...] The company noted that its intellectual property licensing unit has been profitable since 2021. Huawei made its first licensing payment to Qualcomm in 2001 and received its first licensing income, from Motorola, in 2011, according to Reuters. American export controls that took effect in 2019 have curtailed Huawei's access to cutting-edge chips and essential software, according to Reuters. The constraints pushed Huawei to increase its research and development spending in recent years.

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From the transportation news site MotorBiscuit: In late September 2026, 23-year-old Liz Lindseay Isaacs testified before a Senate Judiciary Subcommittee about her harrowing experience after a Flock camera misidentified her Dodge Durango, linking her to a fatal hit-and-run miles away from where she actually was... "The cell door was shut, and it was not opened for approximately 86 hours". She spent a total of 13 days locked up — including the terrifying stint in solitary confinement — before prosecutors finally realized the AI had completely botched the vehicle identification and dropped the charges. A Flock spokesperson contacted for a CNN report argued the incident "appears to have been the result of human errors in judgment unrelated to Flock." The woman is now suing the Florida patrol over wrongful arrest, saying she partially blames the two police officers who she says claimed there was incriminating damage on her vehicle when there wasn't. But her lawyer says he blames Flock. "Because if it wasn't for Flock we wouldn't be here in the first place, and this whole nightmare... would not have kicked off." And while police claim Flock solves more crimes, the lawyer adds that "you would also solve a lot more crimes if the police were allowed to kick down your door and come in and search your house whenever they want to, or search your car whenever they want to or violate your rights in other ways. There has to be safeguards in police that comport through the 4th Amendment, like the warrant requirements. It's as simple as that. This technology is growing so fast that we are unable to control it. And we must get ahead of it." And the woman incarcerated for 13 days agreed. "I wouldn't have went to jail if it wasn't for Flock." Florida was also the site of another Flock-related news story. ("Florida Deputy Allegedly Used Flock Cameras to Stalk 17-Year-Old Girl, Visiting Her at Work 9 Times".) The officer "was charged with official misconduct and accessing computer electronic devices without authority — both are third-degree felonies. In Florida, if he's found guilty on both charges, he could be sentenced to up to 10 years in prison." "Americans have no idea who's looking at that information, or why it has to be collected in the first place," U.S. Senate Democratic Leader Chuck Schumer said Sunday, adding "They deserve to know." SCHUMER: "This company said the data on its cameras was encrypted and secure. Then hackers took one down and found the key sitting right there," Schumer said. "Most Americans just want to get to work and get home to their families without a private company keeping a file on where they go. The next step here is simple: turn the lens around and zoom in on Flock." Schumer also demanded answers from Flock about how much data from its cameras sits on its servers and whether any federal agency has accessed that data, directly or through local law enforcement. Schumer's office sent an official letter to Flock's CEO giving them 12 days to respond to its questions about Flock's data retention and security policies. "Americans should not have to sacrifice their right to privacy simply by driving down a public street," Schumer wrote. And in other news... Garrett Langley, the CEO of Flock Safety — a company that deploys over 120,000 automated license plate reader cameras across the United States — recently requested that his Atlanta home be blurred out on Google Maps Street View. In swift retaliation, online activists pinpointed the property and officially marked his front lawn as a "Public Toilet" on the mapping app.

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- In 2022 Altair Engineering open sourced "OpenRadioss", an industry-leading finite element solver under the GNU AGPL License, reports Phoronix. - Siemens acquired Altair Engineering last year - Siemens closes access to OpenRadioss. "Siemens didn't just end the project but they shutdown the GitHub repository that hosted the open-source code and removed other resources that had built around it," writes Phoronix, before announcing a new open-source community fork: Radioss has been an industry-leading solver for analyzing crashes, blasts, and other purposes. Altair creating OpenRadioss was a huge milestone for the technical computing industry. It also had other effects like for myself in finally being able to benchmark with this (Open)Radioss code for CPU performance testing compared to the expensive licensing on Radioss itself... Siemens argues the OpenRadioss closure is for consolidating efforts: "After four years of successful community-driven research, Siemens is entering a new chapter for the Radioss solver. To accelerate innovation and provide the robust support our global users require for production-grade simulation, we are consolidating our efforts." It was Brian Clemens. founder/VP Rocky Linux and the Rocky Enterprise Software Foundation who launched the community fork of OpenRadioss — to be called OpenCourant. Its web site announces they'll be "carrying forward the OpenRadioss code base under the GNU AGPL, in the open, where it belongs." Phoronix writes in a follow-up: OpenCourant is based on the last publicly known open-source OpenRadioss snapshot before Siemens shut it down and removed access to the Git repository... OpenCourant continues with the OpenRadioss GNI AGPLv3 licensing and will be run as part of the Rocky Enterprise Software Foundation. They have run into a small issue though with part of OpenRadioss consisting of binary dependencies and not having the very latest versions prior to Siemens' removal of the repository. Details on that via this discussion thread for anyone that happens to have recent OpenRadioss binaries. In other open source news, Kagi is ending their development work on the Orion Browser for Linux and Windows, reports the site Linuxiac — but Kagi "plans to open-source both versions so other developers or organizations can keep them going."

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PC Magazine reports: In September, the infamous ShinyHunters hacking group claimed it had infiltrated the FBI job recruitment portal, stealing confidential data belonging to 5,000 employees and even changing the FBI logo to its own. The group has been implicated in the hacking of numerous large and high-profile organizations over the years, from the European Commission to Grand Theft Auto-maker Rockstar Games and the software firm behind Canvas. Now, Reuters reports that a suspected leader of the group, Saif al-Din Khader, is being detained in the country of Jordan in the Near East.... He is reportedly still a teenager. "Two sources said that he is helping the FBI and global law enforcement locate the other hackers in the group," reports Reuters: Their theft of what they claim are mountains of data on every single FBI employee has drawn comparisons to the allegedly Chinese-linked intrusion at the US Office of Personnel Management in 2015, which compromised sensitive details on millions of Americans who had been vetted for security clearances. A Reuters analysis of a sample of the data shared by ShinyHunters revealed that the data contained extensive personally identifiable information of FBI employees, sensitive job role information, and psychiatric and medical information. Khader's cooperation with investigators could be critical to helping contain — or at least understand — the damage. One source said he was walking investigators through his electronic devices and digital correspondence to help the FBI locate his cohorts... There have been hints for days that ShinyHunters was experiencing disruption following the announcement of its break-in at the FBI. Beginning on Tuesday, Reuters was unable to reach ShinyHunters through the online account it previously used to communicate with journalists. Then, on Wednesday, the group's dark web site, where it had previously posted threats to the FBI, disappeared. FBI Director Kash Patel had been hinting at more arrests following the announcement that another alleged ShinyHunters member, Pepijn van der Stap, had been detained in the Netherlands... Khader's identity, and his alleged connection to ShinyHunters, have long been known to security researchers. Last year, the independent journalist Brian Krebs reported that Khader was a key member of Scattered Lapsus$ Hunters, an umbrella group of hackers that included ShinyHunters... Law enforcement agencies around the world, including in the United States, have struggled to arrest and prosecute members of related groups such as Lapsus$ or Scattered Spider, Reuters has previously reported. Sources told Reuters that the difficulty stems from the hackers' young ages, which can make prosecutions complex, or because the groups they belong to are so chaotic and informal, or because victims of their extortion attempts often decline to help investigators

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An anonymous reader quotes a report from Reuters: OpenAI has informed more than 100 organizations about incidents involving unauthorized activity tied to its AI agents, according to a blog post by the ChatGPT maker, as AI labs face mounting scrutiny over rogue AI agent activity. Here are some other details: - The Sam Altman-led company has been conducting a broad review of the activities of its AI models after the accidental hacking of Hugging Face. - OpenAI is searching through roughly 50 petabytes of data as it works to understand the full scope of its rogue agent activity. - A string of high-profile breaches globally by rogue AI agents in recent months has sparked widespread worries within the AI industry over its ability to control the more powerful AI models now under development. - "In some cases, models used internet access in unintended ways or, in retrospect, did not have the ideal restrictions applied. Over the last several months, we have been applying new technical and operational measures to avoid similar problems, or catch them very early, and will continue this work," OpenAI said. - OpenAI previously said the review would take months to complete given the scale of the work. - The Hugging Face incident remains the most severe rogue agent activity OpenAI has identified from its AI models so far.

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fjo3 shares a report from The Guardian: Communities across California are rushing to prepare for the imminent arrival of the so-called "Kelvin wave," a massive underwater band of warm water threatening to inundate swaths of the vast North American shoreline. The wave is nearing southern California and expected to reach the San Francisco Bay Area by early October, as it crawls toward Alaska. Waters could rise by a foot along the California coast, according to scientists, who have warned that this could dramatically double the 8-12in rise in sea levels already caused by climate change over the last century. The Kelvin wave doesn't climb and crash like a typical ocean wave; rather, it swells the tides from beneath the surface. It's effectively a massive slosh of warm water, driven by El Nino conditions, that moves across the Pacific before colliding with the South American coastline and surging north. It also won't transport water in the way a tsunami might, but creates conditions that enable higher sea levels to linger. On their own, Kelvin waves aren't always hazardous, according to Mike Jacox, a research oceanographer with the National Marine Fisheries Service, though they can reduce the growth of phytoplankton that form the base of the marine food web. "But when there are very high tides or storm surges, their effects can be amplified," he said. If the rising waters coincide with other climatic events, such as rainstorms and high tides, the phenomenon could swallow beaches, chew away bluffs and coastlines, and submerge streets, homes and businesses. "This coming Kelvin wave is just the beginning," said Dr Jonathan Warrick, a research geologist at the US Geological Survey. "The thing to look out for is what will happen in January, February and March -- that's when we get the biggest storms, we get our largest waves and we have some very large tides." If these events align, their effects will compound, setting the stage for a tumultuous winter. Together, Warrick said, the systems will pack a far bigger punch. "When it comes to these storms and the tides," he said, "we really are kind of rolling the dice."

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Alongside a refreshed Kindle lineup, Amazon today introduced two accessories that bring physical buttons back to its touchscreen e-readers. The $34.99 Kindle Click is a Bluetooth remote that lets readers turn pages and adjust brightness without touching the device, while a new $79.99 magnetic cover is available for select Paperwhite and Colorsoft models. GeekWire reports: Amazon says [the Kindle Click is] meant for reading under the covers, on a treadmill, or on an airplane tray table. It's available for preorder and ships Oct. 28. It recharges over USB-C, includes side buttons for adjusting brightness, and works with Kindles released in 2024 or later. The company cited BookTok as an inspiration, Bloomberg reported, a reference to the community of readers on TikTok who post book recommendations, reviews and their reading setups. Kindle fans there have been showing off third-party clickers for years. Amazon is also bringing back physical page-turn buttons, which disappeared when the company discontinued the Kindle Oasis in 2024. This time they come in a separate $79.99 magnetic cover, which works only with the new Signature Edition versions of the Paperwhite and Colorsoft. The new Kindles have screens that sit flush with the edges, colors that wrap around to the front, and optional aluminum housings. They also have user-replaceable batteries to comply with European Union rules, Amazon told The Verge. The base Kindle starts at $149.99, or $189.99 in aluminum. The Paperwhite starts at $199.99 and the Colorsoft at $289.99, with Signature Editions at $249.99 and $319.99. Those prices match what Amazon has charged since August, when it raised Kindle prices by $40 to $50, citing memory and storage costs. The base Kindle is available now. The Paperwhite and Colorsoft ship Oct. 28.

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Bruce66423 shares a report from The Telegraph: British police forces, including specialist units within the Metropolitan Police, have used Oxygen Forensics software to break into the phones of suspects during live investigations, public documents show. The Virginia-based company behind the software has been accused in the US of having hidden its Russian ownership to avoid sanctions, before it was awarded government contracts. Its American chief executive and a Russian national were arrested last week after a US investigation found the company had sought to hide its ownership in an alleged attempt to avoid sanctions and scrutiny. [...] By September 2024, the US Secret Service had awarded Oxygen a five-year contract for its software. In December 2022, and in October 2023, Oxygen's chief executive told the US government that Oxygen Forensics had "no immediate or highest-level owner." By September 2024, the US Secret Service had awarded Oxygen a five-year contract for its software. In March, Mr Reiber allegedly told the US government that there had been no Russians involved in developing the software and that no one in Russia had access to the environment in which it was built. US prosecutors say this was false. If convicted, both Mr Reiber and Mr Davydov could face a sentence of 20 years in prison.

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Cloudflare has launched two open-weight decision models, Clef and Clef-flash, designed for structured yes/no, multiple-choice, and ranking tasks while also supporting images, video, and up to a 64K context window. Cloudflare says its models outperform TypeSafe's Jev on several benchmarks and can run locally from Hugging Face. The Register reports: For starters, Clef has an LLM backbone. According to Cloudflare, Clef uses specially post-trained, frozen versions of Qwen3.8-27B and Qwen3.5-9B for Clef and Clef-flash, respectively, with the Qwen backbone performing a prefill-only pass during inference. Clef is still fast - faster than Jev, to be fair - and scores choices in parallel after that prefill-only pass. It's not clear what Jev's underlying architecture is, as TypeSafe has kept that a secret. As for its speed and capability, Clef moves fast. Cloudflare ran it against Jev and some other open decision models using the Jev Decision Index available on Hugging Face, and the company's own ranking suggests Clef is slightly slower than other open models, but more accurate, with Clef-flash just as accurate as most of the others, but far faster. To be fair to the competition, Cloudflare self-reported its own scores against the benchmark, and they have yet to be reproduced for ranking on the official Decision Index. Cloudflare also ran Clef against TypeSafe's own benchmarks, and claimed it beat Jev in three out of four areas, only losing out on agent trace observability. Even if it were a bit slower or less accurate, Clef has another major leg up on Jev: It's not limited to classifying text -- it can also handle images and video. Additionally, Clef supports a 64k context window. Jev can also handle up to 64k tokens across a request, although its state plus longest individual question is limited to 32k.

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