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.

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.

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.

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.

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.)

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.

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.

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.

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.

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.

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.”

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.

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.

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.

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.

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.”

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 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.

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