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Jack Nekhala had a business selling on Amazon — and in December he received an unusual offer, reports Bloomberg. A woman said she could bribe an Amazon employee "to help him retrieve $90,000 in funds that the e-commerce giant had frozen after suspending him over an alleged violation of review policy." Hoping to ingratiate himself with the company and restart his business, Nekhala offered to provide evidence, including recorded conversations and screen shots, that he said proved Amazon personnel were peddling inside information and influence. The smoking gun, Nekhala told the representative: information about his seller account. Only certain Amazon employees are supposed to have access to such details, but Nekhala had received them from the woman on WeChat, the Chinese messaging app. Nekhala's experience, which he documented and shared with Bloomberg, provides a rare glimpse into an international black market that has been a persistent scourge of Amazon's online store. On one side are sellers looking for a variety of favors: a competitive edge over their rivals, information on how to boost sales, a way to get themselves unsuspended. On the other are middlemen who lurk on message apps like Telegram, WeChat and WhatsApp offering access to people inside Amazon who can get things done for a price... It's impossible to determine the scope of the illicit activity, but it's an open secret among Amazon sellers and consultants, who are frequently approached on social-media platforms and messaging apps. "The message is always the same: 'I'm going to show you screenshots to prove I have inside access,'" said Chris McCabe, a former Amazon employee who runs a seller consulting firm... In 2020, federal prosecutors exposed an international bribery scheme involving Amazon sellers and employees. The ring allegedly extracted about $100 million in unfair advantages by bribing Amazon employees in Asia to help them sell more products and sabotage their competitors. Five people in the US were convicted and received jail terms or probation. Last year, law enforcement officials in India began investigating more than 20 former Amazon employees suspected of accepting bribes from trucking companies in exchange for routes, according to The Times of India. After Nekhala reported his own experience to Amazon, the representative committed to "do some digging" and to email him instructions on how his evidence could be shared, according to a recording of the conversation. But Nekhala said he never heard back. The employee who leaked his personal information had already been fired for unrelated misconduct, according to Amazon. Amazon told Bloomberg employee involvement was "very rare," and that "We invest heavily in this area and have dedicated teams and systems in place to prevent all types of fraud, including by our own employees."

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Version:7.1.2 (stable) Released:2026-06-27 Source:linux-7.1.2.tar.xz PGP Signature:linux-7.1.2.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-7.1.2

Version:7.0.14 (EOL) (stable) Released:2026-06-27 Source:linux-7.0.14.tar.xz PGP Signature:linux-7.0.14.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-7.0.14

Version:6.18.37 (longterm) Released:2026-06-27 Source:linux-6.18.37.tar.xz PGP Signature:linux-6.18.37.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-6.18.37

A process with a stable workload shouldn't keep growing its resident memory. When it does, the first question isn't how much RAM is available. It's where the allocations stopped being released. On Linux, that answer isn't always obvious because the kernel, allocator, and application all influence what memory usage looks like from the outside.

AI is beginning to reshape how penetration testing workflows are organized. For years, the penetration tester’s workflow has been a labor-intensive ritual: scan, enumerate, research, exploit, and report. But new frameworks like Dark Moon are attempting to codify that intuition, turning the "human-in-the-loop" process into a machine-coordinated workflow. But is this a genuine evolution in how we secure Linux environments, or just a sophisticated wrapper around the same old tools?

SSH persistence usually does not look malicious at first. The login succeeds normally, the session opens cleanly, and the account already exists on the server, which is exactly why attackers continue using SSH keys after gaining a foothold on Linux systems.

AI-assisted patches are already showing up across open source. Small GitHub projects, package updates, kernel-adjacent tools, system libraries. It’s not a future problem anymore.

Most weeks in Linux are about new features. This one is about avoiding problems before they happen. Several projects shipped updates that quietly change how systems behave behind the scenes. None of them are particularly flashy, but if you're responsible for containers, workstations, gaming systems, or recovery media, these releases are worth paying attention to. Here's what stood out this week.

SELinux troubleshooting is a necessary skill for any system administrator. When a service fails despite correct file permissions and ownership, the immediate instinct is often to disable SELinux to confirm if the security policy is the bottleneck. While turning off enforcement frequently "fixes" the immediate symptom, it hides the underlying configuration flaw—such as an incorrect context or a policy violation—that could leave your system exposed. This guide outlines a systematic approach to ...

Rockstar Games has revealed the price of Grand Theft Auto VI to be $79.99, and confirmed that the physical versions of the game won't include a disc. Instead, they'll contain a one-time download code when it launches November 19. "Not only is that a disappointing decision for people who like to own physical games, but given the scale of the next GTA, it also sets a bad precedent for the rest of the industry," reports The Verge. From the report: There are a lot of advantages to buying digital. You can start a download from your couch. You can store multiple games on one hard drive so you don't have to get up to play something else. Storefronts like Steam or the PlayStation Store don't run out of inventory of the newest game you're interested in, and you can often get games at a cheaper price thanks to frequent sales. But it's becoming increasingly clear that digital ownership has significant disadvantages, too. If a game you don't own digitally is removed from a storefront, whether that's for things like licensing, artificially limited availability, or even the store eventually closing down, your only option is to hope you can find a physical version. If your account on a platform is banned, even if that ban isn't warranted, you might be locked out of your digital library with no way to play those games unless you buy them again or hope your account gets restored. You can't sell or trade digital games you've purchased, and while there are ways to share digital games, they require some work and are usually intended just for families. It's also much harder to preserve digital games because they only "exist" on the hard drive of a console, PC, or device they were downloaded to. This is an issue across many industries, not just console games; there are multiple examples of things like mobile games and streaming shows becoming lost for good when they don't have a physical version. Without physical versions, you also can't find a used version of a game at a garage sale or a local game shop. It's unclear whether Rockstar will ever release a physical version of the game. As for why, The Verge suspects the decision was made in part to prevent leaks; "by only being available digitally, Rockstar can ensure that GTA VI unlocks at the same exact time for everyone." "The digital-only choice might also indicate that the game has a massive file size that's too big for PlayStation and Xbox game discs."

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OpenAI and Broadcom have unveiled Jalapeno, OpenAI's first custom AI chip, designed primarily to handle inference for ChatGPT and other services. It's a major step in OpenAI's plan to "build the full stack behind its models and products," says OpenAI. "By designing more of the stack ourselves, we can serve more intelligence with greater efficiency and keep pushing advanced AI toward broader access." CNBC reports: The chip with Broadcom is an ASIC, which industry experts say is less flexible than Nvidia's GPU, but is also less expensive and can be designed for specific AI tasks. OpenAI said that it designed the chip in nine months, and that it also crafted large parts of the computer system where it will be used. The companies are calling the chip an "Intelligence Processor" and describe it as the first "AI accelerator" in a platform they're building "to make advanced AI faster, more reliable, and more accessible to more people." [...] A physical sample of the new chip will be delivered to OpenAI on Wednesday. The companies said they're aiming for initial deployment of the Jalapeno chips by the end of 2026, "expanding in the years ahead."

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An anonymous reader quotes a report from Barron's: Walmart is signing a long-term contract to buy nuclear power for the first time ever, a promising sign that the industry's future is supported by more than just the AI data center boom. The retail giant agreed on Tuesday to buy power from a nuclear plant in Illinois owned by Constellation Energy for its operations in the area, including its stores and a high-tech warehouse in Illinois that stores and sorts perishable food. Walmart will buy 176 megawatts of power from the plant over a 15-year period, or enough power to serve around 150,000 homes. The Walmart deal will allow Constellation to expand the capacity of the Illinois plant by 30 megawatts, a process known as an uprate, which can involve replacing older equipment and improving efficiency. Walmart, which has pledged to eliminate net carbon emissions from its U.S. operations by 2040, will also receive the environmental attributes associated with the nuclear energy, which generates electricity without carbon emissions. Further reading: Trump Admin Announces $17.5 Billion In Loans For 10 New Large Nuclear Reactors

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In an exit interview with The Financial Times (paywalled), former Disney CEO Bob Iger says the company seriously considered buying Twitter, explored a potential merger with Apple, and pursued the James Bond franchise during his tenure. The Verge reports: According to Iger, Disney came close to buying Twitter from co-founder Jack Dorsey "at a very attractive price," sometime prior to Elon Musk buying the social media platform in 2022 and changing its name to X. Iger had plans to turn Twitter into a global distribution platform for Disney, but walked away on the morning of the deal over concerns that it would be "a horrible distraction." Disney was also at one point involved in early conversations regarding a potential merger with Apple, something Iger thinks would have been "truly transformational." In the end, Iger says these conversations "never went anywhere," and that "Apple didn't show that much interest." The two companies have a mixed history -- Iger was an Apple board member from 2011 to 2019, and notably a driving force behind Disney acquiring Pixar in 2006, which was led by Apple co-founder Steve Jobs at the time. According to Iger, his first call with Jobs resulted in an almost immediate deal to put Disney content on the first video iPod. "All of a sudden, I'm now someone Steve likes and respects," Iger told The Financial Times. "The old Disney that he knew was lumbering in terms of bureaucracy. And so he thought, this is a new day." The Pixar acquisition spurred Iger to find more companies to bring under Disney's wing, though not every attempt was successful. "We felt unstoppable. We put together a list of acquisition targets," said Iger. "Marvel was one, Star Wars was another, James Bond was one. We had a list and I figured let's just tick them off and buy them all." Iger provides no details about Disney's attempt to buy the James Bond franchise, but we know it obviously failed -- Amazon bought the 007 distribution rights when it acquired MGM in 2022, and later paid more than $1 billion to take full creative control of the franchise in February 2025.

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A peer-reviewed Nature critique argues that Microsoft's 2025 Majorana quantum-computing breakthrough -- and its claim that it could enable "a truly meaningful quantum computer not in decades, as some have predicted, but in years" -- is fundamentally flawed. According to Dr Henry Legg, a lecturer at the University of St Andrews, the claims were undermined by omitted data, selective plotting, and basic Python errors that concealed alternative results. Microsoft, for its part, says the bugs were minor and stands by its findings and roadmap. The Register reports: "Last year they claimed to be years, not decades from a 'topological quantum supercomputer,'" Legg told The Register in an email. "My feeling is that they are centuries, not decades away. If it works at all -- and, based on what I have seen, the most likely scenario is that it doesn't work." Based on his analysis of the research Microsoft published in 2025, Legg argues that the company's claims about finding and being able to control the elusive Majorana particle to build a topological superconductor do not withstand scrutiny. "I demonstrate that Microsoft's tune-up software is flawed and that coding errors resulted in incorrect statements to peer reviewers," said Legg. "Raw data, which was omitted from the original paper, also appears to indicate Microsoft's devices contain considerable disorder and are not compatible with the existence of a topological gap. In other words, the prerequisites for Microsoft's claims do not appear to be met, but this was obscured because this data did not appear in the original publication." Essentially, Microsoft has proposed a Topological Gap Protocol (TGP) that can be used to detect the phase transition deemed to be a prerequisite for conducting quantum calculations using Majorana particles. Legg argues that based on his analysis of underlying transport data (measurements of particle change) -- omitted from the original publication -- Microsoft chose to focus on results that supported its thesis and ignored data that could be interpreted as a negative result. As he notes in his critique: "The TGP plotting code was set to highlight only the largest purportedly topological region." "The primary consequence was the omission of other regions that passed their tune-up protocol (the TGP)," said Legg. "When peer reviewers asked if other regions existed, Microsoft inaccurately stated that they had investigated the only region passing the protocol within the explored range. This was not correct." Legg also argues that Microsoft mishandled its code. "The code antisymmetrized bias voltage based on array index rather than physical value," his analysis says. In other words, Microsoft's researchers made a basic programming mistake by evaluating the array index -- the number identifying a value's position in an array -- instead of the value to which the index refers. "There were two pretty basic Python programming errors that hid these alternative regions," Legg explained. "Their plotting software was hardcoded with a filter (zbp_cluster_numbers=[1]) that forced it to display only the single largest region, concealing other successful results from their phase maps. Changing this to zbp_cluster_numbers=[1,2] shows already a second region." Legg added: "The TGP software transformed the data by simply reversing a Python array (x[::-1]) based on its index position, ignoring the actual physical bias voltages."

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An anonymous reader quotes a report from the Associated Press: The Trump administration is providing $17.5 billion to speed the development of 10 new large nuclear reactors to meet the skyrocketing power demand from massive data centers. Energy Secretary Chris Wright cited "tremendous interest" among developers of data centers that would buy the power, as well as utilities and energy companies. The nuclear plants could begin construction by 2030 and become operational in the mid-2030s, Wright and other officials said Tuesday. "This is the start," Wright said on a call with reporters. "We're going to move with the players that are ready to stand up and move quickly. Once that supply chain is up and running, do we think there will be dozens of these built going forward? I'd be very surprised if there were not." Most U.S. nuclear power plants were built between 1970 and 1990. Only two new large reactors have been built from scratch in the United States in recent decades. Those two reactors, at Georgia Power Co.'s Plant Vogtle, were completed years late and billions of dollars over budget. The 10 new reactors will use the same design, Westinghouse's AP1000. Wright said the Plant Vogtle project struggled because of bad planning, supply chain problems and the COVID-19 pandemic. But, he said, the reactor design is "robust and sound."

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Most security teams are locked into a perimeter-first mindset. They obsess over north-south traffic—the data hitting the edge—while ignoring the reality of the modern data center. Once an attacker gets a foothold, they don't stay at the edge. They pivot. They move laterally. That's the east-west traffic problem: the internal chatter between servers, microservices, and databases that we treat as "trusted" simply because it’s inside the fence.

Ancient Slashdot reader Mark Round writes: Longtime reader here (since mid-1999 -- Hot Grits! Oog the Caveman! Beowulf clusters!), and I can still remember posting back on Slashdot's own 5th anniversary. Time's rolled on: my own blog just turned 25, and it's now roughly 40 years since I first sat down at a computer. So I went digging through archive.org, old backups, and a box of ZIP disks, and wrote up a long look back at four decades of computing through the one website that's been my online home along the way. It runs from my first 8-bit micro and a 1,200-baud modem through discovering the actual Internet at university (and burning far too many hours on Slashdot and sister sites like freshmeat.net), past gloriously pimped-out Enlightenment Linux desktops, all the way to the modern cloud-native world. Plenty of dodgy screenshots, terrible code, and fond memories of long-gone haunts like kuro5hin.org and Linux Coffee Talk along the way.

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alternative_right shares a report from ScienceAlert: If you consumed a wild mushroom and suddenly started seeing tiny people around you, you might reasonably assume it contained a familiar psychedelic. But that does not appear to be the case with Lanmaoa asiatica, known locally as jian shou qing, a mushroom species sold in markets in Yunnan, southwestern China. When eaten undercooked, the mushroom can produce vivid visions of miniature people -- not unlike Gulliver on his travels to Lilliput. To try and find out the root cause, University of Utah mycologists Colin Domnauer and Bryn Dentinger sequenced the genomes of 53 mushroom samples from across the wider Lanmaoa genus. And despite the reported hallucinations, they found no close matches to genes associated with psilocybin or ibotenic acid, two well-known mushroom hallucinogens whose biosynthetic pathways were specifically examined in the study. "Biosynthetic gene mining of the L. asiatica genome found no close hits with any genes known in the production of mushroom psychoactive compounds," write the researchers in their published paper. "This supports our hypothesis of the presence of a novel unidentified metabolite responsible for the unique hallucinogenic properties of L. asiatica." [...] Whatever chemical pathways are causing these effects in the brain, the responsible compound appears to be something scientists have not yet identified. [...] By identifying 1,515 corresponding genes across the selected specimens, the researchers obtained a clearer answer to the question of what defines a mushroom species as part of the genus Lanmaoa. There are now 17 recognized species in the genus, including four that haven't been identified before, two of which the researchers specifically named here: Lanmaoa fallax and Lanmaoa carbonilivor. The researchers say the Lanmaoa family and evolutionary tree can now be more fully mapped out, and some existing specimens may need to be reclassified.

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fjo3 shares a report from the AFP: The latest heatwave sweeping across Europe is a stark reminder that it is the world's fastest-warming continent, stretching into an Arctic that is heating at an even greater pace. Britain, France, Italy and Spain have issued red alerts and health warnings for much of their territory this week as the region endures its second heat episode since May. Here is a look at why Europe is warming faster than elsewhere: The planet as a whole is around 1.4C warmer than in preindustrial times, defined as 1850-1900. By comparison, Europe is around 2.4C hotter than the preindustrial era, according to the EU's Copernicus Climate Change Service. The long-term rise in global average temperatures is mainly due to greenhouse gas emissions from burning oil, gas and coal, but it varies by regions due to a combination of factors. Land warms faster than the ocean as water can absorb more heat and cool through evaporation. Shifts in atmospheric circulation have driven more frequent and more intense heatwaves in the European summer, according to Copernicus. High-pressure systems, which bring settled weather and higher temperatures, have become more common in Europe, Copernicus director Carlo Buontempo said. [...] Another major reason is geography as Europe is connected to the Arctic, which is 3.2C warmer than in preindustrial times. The region's rising temperatures are partly due to a process known as the albedo feedback. Bright snow and ice reflect much of the sun's heat back into space, but as they melt they reveal darker, heat-absorbing surfaces such as land and the ocean. In other parts of Europe, areas where snow was very frequent in winter have seen this coverage shrink, exposing dark land. Stricter air quality regulations have reduced aerosol emissions since the 1980s. But tackling the pollutant had the side effect of contributing to global warming, as these tiny airborne particles have a cooling effect by reflecting sunlight and making clouds more reflective.

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