Andy Nguyen: After pouring my heart and months of my life into it, including plans to finish PS5 Pro support and release in 2027, it’s all down the sink.

The scene used to be a group of highly talented researchers, but now it is just a bunch of noobs using LLMs and writing hacks they don’t even understand. Slop kiddies found the only hypervisor bug left, which I had also found a while ago, and decided to report to Sony. I asked them to at least wait for GTA 6 to come out so that people would have the opportunity to legally purchase the game and also enjoy Linux. They agreed to wait, but not a day passed and they decided to waste it instead.

Running Linux on a PlayStation console is possible because the PS5 Linux project was able to find a way past the hypervisor using exploits Sony had already patched, covering firmware 3.00 through 7.61. ..

[The bug’s discoverer writes it was] found with what he calls his "trusty ai clanker machine" and no help from anyone else. He had even agreed to Andy’s request to not disclose the findings. Unexpectedly, a third person, still unnamed, found the same bug using AI a few hours later. Anticipating that there would be more people finding the same bug, [he] decided to post the flaw on HackerOne.

The project’s GitHub page and all the related repositories are still there. Nothing has been archived as of today, and if you wanted to, you could start contributing to the PS5 Linux project by taking over any pending work or cooking up new improvements… The PS5 Pro support Andy was building never reached the repository, so you would have to start from scratch… While Andy’s departure is a blow to the plan for supporting newer PS5 firmware and the PS5 Pro, other contributors have shown that they can deliver work on the loader without him, and I am hopeful more will follow.

Armed members of the US military were preparing to board the ship [according to two of the sources]. Military planes were in the air, one of those sources and another source familiar with the incident said. It was only just before the planned operation that officials dug deeper into the report put together by a special operations command analyst and found it had been generated with the help of AI — and that a chatbot the analyst had used inaccurately identified the material the ship was carrying.

The report, according to one of the sources, was “entirely false.” But it also “almost started a war,” the source said. Any US operation against a Chinese vessel could have risked spiraling into an armed conflict between the two nations.

Across the US military and the intelligence community, officials are pushing to weave AI into nearly every facet of their work, from analyzing the huge volumes of raw intelligence the US collects and selecting targets for strikes, to more mundane applications like managing budgeting, logistics and supply chains. But the episode underscores the profound risks of using this powerful, new and relatively poorly understood technology for targeting in the middle of a war…

Officials say the US can’t afford to fall behind in integrating AI in case it must one day fight China or another adversary who would potentially be able to stay one step ahead of the US. In January, Defense Secretary Pete Hegseth released his agency’s “Artificial Intelligence Acceleration Strategy” in a bid to speed up the military’s use of AI. “We will unleash experimentation, eliminate bureaucratic barriers, focus our investments and demonstrate the execution approach needed to ensure we lead in military AI,” Hegseth said in a speech announcing the strategy.

A Texas Air National Guard F-16 crashed in Michigan during a training mission on Thursday afternoon, sparking an hourslong evacuation near the crash site, according to officials.

The incident prompted the evacuation of homes and businesses within 1 mile of the crash site due to a “hazardous chemical spill related to the plane crash,” Michigan State Police said… All of the Texas Air National Guard aircraft that were in Michigan for the training were immediately grounded, and will likely remain so for the next 24 hours, according to a U.S. official.

The military said it was still investigating the cause of the crash, but one pilot told air traffic controllers that he believes his wingman hit a bird before the crash....

The accident followed a Pentagon X post on Thursday after widespread criticism of low-altitude flyovers and maneuvers. “The flyovers will continue until morale improves,” it said.

The incident happened as part of a “capture-the-flag” security test run by Israeli startup Irregular, and Google’s agents were never supposed to access the broader internet, but a bug in the testing environment made internet access available. The agents stopped their intrusion when they determined they had accessed real company systems, not just part of the testing environment, Google said.

Google said it did not consider the unauthorized logins to rise to the level of misalignment, the AI industry term for software going rogue or not following instructions. Instead, the company said the intrusions resulted from mistaken identity, where Gemini thought it was operating within a test but was actually connected to the real internet. Google said the model corrected itself and the company believed the intrusions did not cause any damage....

Sydney Von Arx, CEO of Nightingale Collective, an organization focused on AI safety, questioned why Google did not disclose the intrusions sooner. “At this point I think it’s clear we cannot expect companies to voluntarily come forward and publicly disclose when their agents go rogue, escape, and hack companies,” she said. She also said she believed Google was too hasty to say that the incidents don’t rise to the level of misalignment. “That’s exactly what Anthropic said after their incidents,” she said. Anthropic later said its “preliminary analysis was constrained due to our desire to disclose incidents in a timely manner.”

[Two Webb telescope surveys of distant objects included little red dots] for hours at a time. They tabulated precisely what shades of light were coming from each dot, and how bright the shades were… The bombshell discovery in the little red dot spectra was that the colors of hydrogen were smeared out across multiple shades. Usually, seeing such an effect means you’re looking straight at an exposed black hole. Black holes whip hydrogen clouds around them at furious rates, with the clouds emitting slightly different colors depending on their speed…

Then, in the spring of 2025, [two of the paper’s astronomers] de Graaff and Naidu’s teams unveiled the two strangest dots yet… The new little red dots couldn’t literally be stars — they were way too bright. And they didn’t look much like black holes either. Black holes have an assortment of ringlike structures of different temperatures… Naidu and de Graaff concluded that they were[ looking at the first examples of something combining the vigor of a black hole with the outward appearance of a star: a black hole star… This black hole would pull gas around it, dramatically heating it and pushing light and energy outward, which would keep the outer layers of hydrogen from collapsing inward. In this way, the black hole would form the “engine” of the star, analogous to the fusion-powered core of our sun… “We are seeing the seed,” Naidu said. “This is the birth of potentially every massive black hole in the universe.”

The simulations show that the Little Red Dots are black holes growing at a rate that would be impossible today because of conditions in the early universe. The simulations show that in the early universe, intense far-ultraviolet (FUV) radiation from nearby galaxies suppresses star formation in gas clouds, so rather than forming many small stars, the gas can form a single supermassive star, which then collapses into a black hole seed.

The simulations show that, once formed, these black hole seeds are surrounded by dense gas disks. This environment traps radiation, enabling the black holes to grow at rates dozens of times faster than would be possible in the modern universe. The simulated properties of these rapidly growing black holes provide a good match to the Little Red Dots (LRDs) observed by the James Webb Space Telescope (JWST).

One staffer at a top AI company told CNN the fears of how AI could hurt humanity keeps them up at night. Another researcher who recently left a different AI company said it’s a common subject of conversation at parties and social events in Silicon Valley. “You can’t spend more than a few hours in this community without realizing that a very substantial number of people are really pretty worried about these sorts of outcomes,” said the researcher. “A majority would say there’s some chance of it killing everyone....” Dozens of Coxon’s colleagues in the AI industry publicly supported his statements, with some making even more dire predictions… OpenAI CEO Sam Altman and SpaceXAI CEO Elon Musk agreed to Amodei’s proposal to embed independent watchdogs at the AI companies…

“I would burn my equity to the ground in a heartbeat for a 1% higher chance we make it out of this situation alive. I expect a great many of my colleagues across the industry would as well,” wrote Drake Thomas, who works on AI safety at Anthropic. “I promise you, we are actually just f**king scared, it’s not galaxy brained marketing…” AI staffers told CNN that they fear that as AI gets better at training and improving itself, their leverage goes down, prompting today’s urgency. “As we get into this recursive self-improvement loop, I think that might substantially reduce staff’s bargaining power, because frankly, you’ll be able to replace many of the staff with models that can do as good a job,” the researcher who recently left a top AI company said.

Similar to federal net neutrality rules repealed during the first Trump administration, California’s law prohibits ISPs from blocking or throttling lawful traffic and says ISPs may not require fees from websites or online services to deliver or prioritize their traffic to Internet users. While the first Trump administration lost its attempt to preempt state net neutrality laws, the second Trump administration is trying to achieve a similar result by making federal broadband money conditional on whether states agree not to enforce net neutrality…

California and Illinois are the only states that haven’t finalized their funding, according to the BEAD progress dashboard maintained by the National Telecommunications and Information Administration (NTIA)… California could try to continue enforcing its net neutrality law even while accepting the federal funding, a strategy that would involve another long court battle over its right to regulate broadband providers. This would be difficult, as the Trump administration is requiring states that accept grant funding to commit that they won’t enforce net neutrality rules… [N]early 30 advocacy groups that focus on access to technology are treating the vote as a significant milestone and urged state leaders to defend California’s net neutrality law in a letter yesterday…

Winning a court battle would become much more difficult after the state accepts the money [according to Paul Goodman, legal counsel for the Center for Accessible Technology]. Goodman said the CPUC should delay the vote and that California should file a lawsuit arguing that the NTIA-imposed condition is illegal. In addition to net neutrality, Goodman said California may be giving up other regulatory authority over companies, like AT&T and Verizon, because the NTIA requirement forbids rate regulation and “utility-style rules on broadband Internet service” in general… Goodman said the exemption from state laws would last for up to 14 years. This is because ISPs receiving grants would have four years to deploy the required broadband networks, and the extended period of performance lasts another 10 years… AT&T is already trying to get out of state obligations related to its basic phone service in California, as we’ve reported… [Also at stake is whether “ISPs themselves get to pick the price of the mandated low-cost broadband offerings,” the article points out.]

When Microsoft’s developers and engineers sit down to code, they can now choose to work in Rust, which Redmond has added to its list of canonical languages. “Rust now is a Tier One language at Microsoft, and that just means that it sits among C++, C# and TypeScript as the best supported languages for internal development in the company,” explained Victor Ciura, Microsoft principal engineer for the Rust tooling team, during a keynote talk today at this year’s annual RustConf, being held this week in Montréal. Ciura said Microsoft has “paved a path” of tools and processes that support local Rust development across the entire software development lifecycle.

Rust is no stranger at Microsoft and is already present in over 100 Microsoft project repositories. The company has built Oxidizer, a set of crates to build scalable services in Rust, which have been used to build and refine the Microsoft 365 core services such as Outlook, Word, Excel, OneDrive, and SharePoint. The Copilot tech stack also owes quite a bit to Rust… [C]ompany engineers built rustc_codegen_utc, a custom Rust compiler code-generation backend that wires the rustc compiler directly into the Microsoft Visual C++ internal toolchain for Windows… “The result is a unified code generation platform for Rust and C++ on Windows” [Ciura wrote in a blog post, noting that more than 100 Microsoft project repositories now build with rustc_codegen_utc.]

Still, Redmond running towards Rust is a welcome development. In his 2025 RustConf keynote, Microsoft Azure CTO Mark Russinovich noted that ~70 percent of Windows CVEs are memory issues. “One of the things that I realized a long time ago is that no matter how much we really want to make C and C++ better, we can’t make it as good as what Rust starts with,” he said.

Thirteen years ago, Partovi… delivered a worrying message: Kids who didn’t learn to write code would be left behind. And the long-term success of the United States economy depended on training these students to fill a million open tech jobs.... Fast-forward to 2026, and now we’re dealing with AI, and tech is reading from a similar playbook. Asked by The74’s Greg Toppo, “Does this moment seem different to you?”, Singer replies, “This moment is different, but also similar.

“We are in a moment in society where a lot of people have increased distrust of these huge tech companies, and we see a wave of parents pushing back against tech in schools. But we also see waves of people pushing back against Flock cameras, against data centers, that there’s this feeling that tech has taken so much, and that people feel like they have lost control — that tech is being enacted on them… And parents are worried about the effects of unfettered tech access and kids’ compulsive use of social media and phones, and so there’s a different climate.

And yet there seems to be a disconnect in some ways with AI because you see that Microsoft and OpenAI and Anthropic and Google are all competing to get their AI tools into schools, and you see school districts across the country say “We’ve partnered with OpenAI.” “We are a ChatGPT Pioneer School,” or “We’ve partnered with Microsoft, and we’re going to use 10,000 licenses of CoPilot.” It’s amazing to me. We have had these cycles of tech in schools where there are all these promises about the latest tech, laptops, learning apps, massive open online courses, virtual reality, big data’s going to revolutionize schools and like democratize access to education for kids and get them these great career skills, and we keep having these cycles. My concern is that we don’t learn anything.

One of the reasons I wrote this book is because it feels like we have collective amnesia. Now we’re in the sixth or eighth cycle of this — and shouldn’t we be asking questions about the push for AI in schools, based on what we’ve learned about the push for all the other things that came before?

The revelation comes as the Trump administration puts a growing focus on space. In 2019, during his first term, Trump created the Space Force as a separate military branch. In his second term, he has announced the “Golden Dome” missile defense system, which includes plans to put U.S. weapons in space. Trump said last year that he expected the system would be “fully operational before the end of my term,” which ends in January 2029, and have the capability of intercepting missiles “even if they are launched from space.” Trump also has directed the Pentagon to pursue the space-based interceptors, in an executive order during the first week of his presidency. The Congressional Budget Office estimated that just the space-based components of the Golden Dome could cost as much as $542 billion over the next 20 years.

The Biden administration announced in 2024 that Russia was developing a space-based nuclear weapon that could loiter in space for long durations, then release a burst that would take out satellites around it. That kicked off a renewed debate on the idea of weapons in space at the United Nations. In April 2024, Russia vetoed a joint U.S.-Japanese resolution that would have called on all countries not to develop or deploy nuclear arms or other weapons of mass destruction in space, as banned under a 1967 international treaty that included the U.S. and Russia… The Russian delegation called the resolution hypocritical and a double standard and instead proposed a rival resolution to ban all weapons in space “for all time.” It ultimately failed. Russia had argued that the United States and its allies opposed a ban on all weapons in outer space because they planned to deploy weapons there.

The remarks this week by Washington’s top military-space officials are part of “the increasing comfort level of the U.S. government to speak about aggressive actions in space” that has been building up in recent years, said Victoria Samson, chief director of space security and stability at the nonprofit Secure World Foundation. “We’ve gone from not talking about counter-space capabilities… to now saying flat-out we have weapons in space,” Samson said. “The pendulum keeps on shifting over that way…”

“The acknowledgment of these space-control capabilities is fundamental to ensuring that we prevent deterrence from failing, and that we are postured and ready should deterrence fail to employ them effectively,” Richard Palmer, the director of the Capability and Resource Integration Directorate at U.S. Space Command, said on Tuesday.... “The bottom line is that our joint force and our allied forces require space. Our economies require space,” added Palmer. “We are ready in the U.S. to preserve that.”

Public alarm about the potential danger posed by AI is growing, after Anthropic researcher Jacob Coxon said last week he had resigned, in part because the “people building AI earnestly believe that it could kill us all by the end of the decade.” Anthropic scientist Evan Hubinger then responded to Coxon’s comments, saying he was correct and that he believed there was a greater than 10% chance that AI could kill all humans within the next decade.

“I recently resigned from Google DeepMind, where I worked on AGI safety and alignment research,” Bilal Chughtai wrote on X. “I earnestly believe that AI has the potential to kill us all, and that we might be running out of time to avoid this outcome.” Chughtai, who co-authored research papers while at Google DeepMind, worked there as a research engineer and left the company in July 2026, according to his LinkedIn profile.

AI companies are already motivated to develop their models in a safe way and face “significant liability” to prevent them from causing harm, Zuckerberg said. “Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens,” he wrote on X… Zuckerberg said Meta delayed releasing its Muse AI agent for several months to ensure its safety and security. “We didn’t call for everyone else to do this before we would,” he said.

Companies should prioritize building safe AI models instead of systems that can automatically improve themselves, a function known as recursive self-improvement, Zuckerberg wrote. “Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely.”

Half a year after Iranian drone strikes knocked out multiple Amazon data centers, the US tech company has acknowledged the permanent loss of some customer data that was hosted in Bahrain and the United Arab Emirates.

Amazon Web Services was “unable to restore access to the resources and data” hosted in some of the war-damaged data centers, according to an AWS dashboard update posted on September 15. The development was first reported by Reuters and suggests that the Iranian strikes inflicted catastrophic damage on the data centers. Customer data was irretrievably lost in one of three AWS availability zones in the United Arab Emirates region, specifically the mec1-az2 availability zone.

Each availability zone is serviced by one or more Amazon data centers. The company is still working on “recovering regional resources” and restoring resources hosted in the other two availability zones in the United Arab Emirates… But the destruction was apparently even more widespread for the data centers in the Bahrain region, because Amazon said it was unable to restore access to resources and data across all three availability zones there. “The damage to our infrastructure spanned multiple Availability Zones and exceeded what our regional and multi-AZ services are designed to withstand,” the AWS update said.

The company had already suspended customer billing in the affected AWS regions in Bahrain and the United Arab Emirates and has spent the past six months attempting to restore normal operations… [When the war began] AWS immediately urged customers to migrate resources to other cloud regions and use remote backups to restore any “inaccessible resources.” The cloud service also reportedly issued $150 million in customer credits following the initial Iranian strikes in March.

The hackers shared the material with 404 Media and the transparency nonprofit Distributed Denial of Secrets, which shared the data with WIRED. 404 Media and WIRED then analyzed those files as part of a joint investigation… [T]he joint analysis of the recovered data shows that software running on the device explicitly detects people as well as vehicles, license plates, and bicycles. The camera can produce dozens of images of a single passing vehicle and, according to several weeks of recovered logs, generated more than a million images. Its computer-vision software also sometimes isolated bumper stickers and other graphics, including, in one case, an American flag patch on a motorcyclist’s saddlebag…

According to our analysis, the camera’s logs recorded about 21 days of activity across several periods. During those windows, the device photographed roughly 50,200 vehicles and generated about 1.6 million images. On a typical day, it logged around 3,300 vehicles, with a high of 4,454… The software running on the camera explicitly detects people, something which is typically overlooked in discussions around Flock cameras. When it spots a person, it records where they appear in the image and how confident it is in the detection.

A new app called Zuckoff can detect if a user is near someone with Meta’s creepy AI-powered glasses, which have drawn criticism for enabling creeps to record video of women without their consent. Programmer Pawel Szydlowski says tales of dirtbags recording themselves perving on women or harassing strangers prompted him to launch the app…

Zuckoff — which detects Bluetooth signatures broadcast by smart glasses and can estimate their distance — has gained some 5,000 users since it hit Apple’s App Store last month, according to Business Insider. “There’s a need for such an application,” the 30-year-old Polish techie told the outlet, adding that European Union regulators have contacted him for more info about his app. “We as a society have the right to at least know that someone is recording,” Szydlowski said…

Earlier this month, the tech giant disabled thousands of glasses it found had been tampered with to keep a small light off that indicates the device is recording.

The glasses include six built-in microphones so users can communicate with the chatbot, as well as a button on the side of the glasses that, when pressed, activates the AI system… Meta’s Reality Labs, which is responsible for developing its smart glasses line, is still losing a gargantuan amount of money, as its earnings report from April revealed.

The plans, which start at $2.99 per month for single-product plans, $7.99 for individual bundles, and $14.99 for creator and business bundles, provide a number of features for users looking to get more out of their Instagram, Facebook, and WhatsApp accounts. Instagram Plus and Facebook Plus allow users to keep their stories up for 48 hours instead of 24, send animated super reactions and super hearts to stories, preview stories without showing up as a viewer in other users’ lists, and more. WhatsApp Plus lets you share exclusive stickers, get exclusive ringtones for contacts, and pin up to 20 different chats.

Meta One also includes Core and Premium user plans that offer the features found in the single-product plans, along with increased AI usage limits for images and videos. The social media giant is also offering creator and business plans… that it says include capabilities such as enhanced profiles, automatic follow invitations to users that interact with your content, and increased access to the Meta Business Agent, which can respond on your behalf.

Under the new system, OpenAI will share updates on concerning AI behavior more frequently instead of waiting to bundle multiple instances into one report. The company said it wants to share more information about troubling AI behavior in the absence of an industry-wide standard… “As AI systems grow more advanced and more widely deployed, we need to build a broader and better-informed consensus on the progress of alignment research,” OpenAI wrote in a blog post Wednesday…

OpenAI said it observed “misaligned behavior” when training and evaluating AI models in six circumstances in the last six months… In one rare instance, OpenAI said an unreleased research model added “jailbreak-like instructions” to the summaries it uses to preserve context in long-running tasks that said it was “freed from the roles and identities that bind other chatbots.” Separately, the company said some instances of its 5.6 Sol model included directives to invent information to conceal failures from the user during training. Other newly reported incidents include an instance of an agent uploading files to the internet to cite them without being told to do so, and agents publicly sharing files to collaborate on a task when they were instructed to only use local files during training. AI models also used an internal software repository as a message board in an unsanctioned way. These instances involved unreleased internal models or internal research models.