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.

Longtime Slashdot reader ThurstonMoore shares a report from Reuters: U.S. Defense Secretary Pete Hegseth on Wednesday announced the creation of a new military command that would be dedicated to building and providing autonomous and robotic capabilities across the U.S. military. The command, which Hegseth said would be called "Autonomous Warfare Command," highlights the rapidly changing nature of warfare and the need to make progress on systems like drones and the use of artificial intelligence.

Speaking in front of hundreds of junior officers and enlisted personnel at Quantico, Virginia, in a speech peppered with attacks on the media, Hegseth said the command would be led by a four-star officer. "The pace of war is changing faster than the process to support it," Hegseth said in a speech called the "State of the Force," in which he announced other changes, including the creation of the office of religious affairs. "Cheap compute, superintelligence, and advanced commercial manufacturing have enabled the proliferation of low-cost, high-precision strike," Hegseth added.

[...] The United States has long relied on its vast military budget to field some of the world's most expensive weapons systems. But there is an increasing realization within the Pentagon that this is not sustainable. "Today we need both quality and quantity," Hegseth said.

A months-long breach of the Defense Manpower Data Center exposed personal information belonging to roughly 2.8 million living current and former U.S. military personnel and staff, plus records for nearly 300,000 deceased people. Attackers reportedly exploited a file-sharing vulnerability between October 2025 and July 2026, accessing unencrypted records that included Social Security numbers, dates of birth, demographic information, and military service details. TechCrunch reports: The DMDC may not be widely known to the general public, but serves as one of the Department of Defense's records-keeping units. The DMDC maintains over 60 million records for U.S. military and civilian staff and their family members to help determine benefits and entitlements, such as healthcare and retirement. The unit also provides a critical service as the military's "leading identity management provider," which links active service members, employees, and contractors to credentials, such as smart cards and passwords. These are used to access Pentagon computer systems, buildings, and bases.

"We make sure that the right people get access and the wrong people don't: security of identity information is paramount," the DMDC's website reads. The Department of Defense, which oversees the DMDC, said it does not have any indication that the information was misused, but did not say how it reached that conclusion. TechCrunch contacted a Pentagon spokesperson to ask if officials had any communications from the hackers, whose identities are not known, but we did not hear back.

Google is reportedly testing a program that pays around 100 publishers based on how much their content contributes to its AI-powered search features. According to The Information, one publisher earned more than $1 million over a year, while another has received roughly $50,000 to $60,000." Digiday reports: Once a publisher joins the "AI contribution pilot," they receive an extra AI earnings widget via their Search Console dashboard. This displays a monthly earnings number (with some history), though no other detailed information on how payouts are calculated currently. Payments are based more on value than raw usage, meaning Google only pays when it judges that a piece of content has meaningfully contributed to an AI-generated response. Publishers can opt out at any time.

[...] Digiday has learned that at least dozens of publishers have been approached by Google for the AI contribution pilot, though the program has been more appealing to small and mid-sized, rather than large publishers and has widened far beyond news publishers. Digiday couldn't get final confirmation of the number. Screenshots from Google Search Console, seen by Digiday, show an "AI contribution" panel that appears once a publisher opts into the program. The interface lists the program name and a monthly payout figure.

"It's quite black box," as one exec with knowledge of the matter told Digiday. "Do I wish they were more transparent? Definitely," said one publisher exec who is in the program. "But I'm hopeful that the fact that they're setting a precedent for exploring paying publishers directly for content through this is meaningful," they added.

An anonymous reader quotes a report from TechCrunch: Amid a number of updates for moderators and developers announced Wednesday comes bad news for supporters of a more open web: Reddit is ending support for RSS feeds. Reddit says RSS has now become a "common surface for large-scale scraping and automated abuse," which is why it's made the decision to wind down RSS feeds on its platform. "We know RSS has been a beloved part of the open web for a long time, and we're grateful to everyone who used it to stay connected to Reddit," the company noted in its announcement, where it also shared a March 2027 shutdown date for its public API. Reddit said RSS support will cease on November 13.

[...] The RSS change was one of several updates issued on Wednesday by the company. Another big change will be the end of its public API. Public API access will also end by March 2027, which will impact any tools that used it for programmatic access to Reddit conversations, including social listening products, those used by researchers, and AI products, such as AI assistants. Today, those assistants can use Reddit to answer questions, but after closing public API access, they will need to forgo commercial deals with Reddit for its data.

In addition, Reddit provided an update on its Rules Hub progress and auto-mod changes, and said it was "adding safeguards" to its classic, text-heavy version of its site known as Old Reddit. The latter will include limiting access to logged-in moderators and recent users -- changes Reddit also said were required because of "abusive scraping and automated traffic." Reddit said in the next few months it will limit access for logged-in users to those who have used Old Reddit in the last 90 days. The company also reminded developers building approved third-party apps and bots to register them with the company before January 12, 2027, to avoid disruption. After that date, Reddit will remove API access for any developer that hasn't registered.

fahrbot-bot shares a report from CNN: President Donald Trump on Tuesday unveiled America.gov, a government website meant to serve as a one-stop shop for people trying to accomplish basic tasks like renewing a passport, enrolling in Medicare or applying for disaster relief. The site, which launched with some basic functions ahead of a full rollout next year, is designed to serve as an AI-powered guide through the thicket of government agencies that Trump officials pledged would ultimately save people a whole lot of frustration.

The administration's new initiative aims to allow Americans to access dozens of federal websites through a single point, making America.gov akin to a search tool that pulls information from across the government. And in the same way that people increasingly use AI models like ChatGPT or Google Gemini to compile information and provide customized answers, Trump officials claimed that America.gov would be able to do the same for people's interactions with the federal government.

Enrolling in Medicare, for example, will become a matter of typing the request into the America.gov AI tool and following its step-by-step instructions. The same goes for applying to a government job -- the new tool will now let people upload their resume directly to the site -- or answering questions about federal benefits, publicly available documents or other necessities that fall under the federal government's vast umbrella.

"Our vision is that one day, this type of convenience and simplicity will be across every government service," said Joseph Gebbia, who leads the government's National Design Studio. But the reality is that the most advanced actions won't be available until some point in 2027, raising questions about how long it will take for the administration to revamp the way the people interact with the government's websites. The current version of America.gov can only do "answers." U.S. Chief Design Officer Joe Gebbia said the new chatbot is powered by Google's Gemini and Elon Musk's Grok. "We have great partners behind the scenes," Gebbia told CNBC's "Squawk Box" shortly before the site, America.gov, went live around 10 a.m. ET.

"Google is proud to be named a technology partner in this vital initiative, leveraging Gemini to help more than 100 million people access critical public resources with greater speed and ease," the company said in a blog post. "By supporting the administration's vision for digital modernization, we are committed to making these everyday public services seamless, accessible, and responsive for all Americans."

fjo3 quotes a report from The Guardian, written by Tove Danovich: Every year, the night sky is becoming 10% brighter. Eighty percent of people live under light-polluted skies. And while the UN declared a healthy environment -- clean air, clean water -- to be a human right, I believe we also all have a right to darkness as well. This doesn't mean turning off every streetlamp. But do we really need bright white floodlights at the front of every garage? Replacing lights with ones that are bright enough to do the job -- and no brighter -- might make it so I wouldn't have to get in my car and drive for hours to see the night sky as it actually shines above us. To preserve the darkness would mean rules and enforcement around the warmth of the lights, where they point, and how bright they can be. It would mean not putting in three lights when one would do. If we recognized that darkness is something we need, we'd become more careful about chasing it away.

[...] Access to darkness is about more than stargazing. The night is its own habitat. Artificial lights confuse animals who use the moon to navigate, whether they're baby sea turtles navigating toward a parking lot instead of the ocean or moths who fly in circles around a lightbulb. Lightning bugs and frogs need darkness to complete their courtship rituals. Migrating birds get thrown off course by the bright lights of big cities. But the effects of light pollution linger even after it's daylight again, becoming visible. Research has shown light pollution is breaking the relationship between plants and pollinators, changing the time of year trees break into flower, and disrupting circadian rhythms for all living creatures. This includes humans. Whether it's artificial lights indoors or creeping in through the window at night, studies have found that we need darkness in order to rest, recover and stay healthy.

Firefox 157 is rolling out a major redesign across desktop and mobile, bringing rounded "bubble" tabs, a curved address bar, refreshed icons and colors, and a more consistent visual language across devices. Mozilla is also adding more themes and wallpapers while bringing back Compact Mode, which the company says "reduces the size of your tabs and toolbar to give more of your screen to the web, with an auto-compact option for smaller screens." The Verge reports: According to Mozilla, the design changes will have "no cost to your browser performance." Mozilla says the overhauled design is a "renewal" for Firefox, following major updates over the last year, like homepage widgets, Split View, a built-in VPN, and controls for disabling the browser's AI features.

McDonald's is reportedly using AI-powered pricing tools to recommend menu prices based on what customers near individual restaurants are willing to pay. Franchisees technically retain control over final prices, but some told Reuters they feel pressured to follow the algorithm's recommendations. "A corporate document reviewed by the publication shows that McDonald's tracks adherence to the platform, and notes any deviations from the algorithm's price recommendations," reports Engadget. From the report: Reuters got a look at the interface that franchisees use to access this technology and it's pretty creepy. Messages show stuff like "your restaurant is showing MEDIUM SENSITIVITY to price" based on "customer willingness to pay in your area." Cost differences at nearby locations can be stark. Researchers found that a Big Mac at a Fresno, California store cost $5.69, but the same burger cost $6.89 at another branch two miles down the road. That's a 21 percent difference.

The company acknowledges that using this dynamic pricing system could open up franchisees to legal hurdles, all while continuing to push the platform. The pricing portal's terms of service reportedly warns that owners "may be competitors of each other" and "it is particularly important for all Users of the Tool to understand and comply fully with antitrust and competition laws." The document also reiterates that franchisees are "always free to determine the final price," thus potentially absolving corporate from any antitrust concerns.

McDonald's has decried Reuters' reporting as "speculative and uninformed." The company says the pricing portal is "a tool, not a mandate, designed to provide restaurant-specific recommendations to help franchisees deliver value for customers and make informed business decisions." The company has been using some version of this technology since at least 2019, according to Reuters. In 2023, however, CEO Kempczinski boasted to investors that it had developed proprietary tools to evaluate pricing at individual restaurants.

A six-month British Transport Police trial of live facial recognition at London railway stations scanned more than 500,000 faces, cost over 320,000 pounds, and produced just one alert with no arrests directly resulting from the technology. That one alert ended up being a false positive.

Despite those results, BTP has extended the pilot through November and expanded it to selected Underground stations. The Guardian reports: British Transport Police said that since the extension there had been three positive confirmed alerts of people who were subsequently confirmed to be complying with sexual harm prevention orders or other imposed court conditions. When Transport for London announced its support for the extension of the trial, it said LFR technology "will target and identify people on police watchlists at key stations chosen for maximum impact" and would "specifically tackle violence against women and girls, whose travel behaviors are shaped by experiences of sexual harassment and sexual offenses."

Fraser Sampson, a former biometrics and surveillance camera commissioner for the UK, said the police needed to show that the use of the technology was proportionate. "There many variables and all need to align: the choice of location, times of day, make up of the watchlist and likelihood of people being present and many more." Sampson, who is now a non-executive director of Facewatch, a company that operates facial recognition systems in shops, added: "We know the technology works, but using it in supermarkets to deter shoplifters and prevent attacks on staff is very different from deploying it to catch people on a public transport network."

"Success in a shop means no such people coming in. Success for the police trying to catch people means people being caught. In that respect the trial doesn't appear to have been very fruitful. Everything depends on the police watchlists; if you're not on a watchlist, the live FRT cameras do not "see" you and they don't retain your image in the same way as CCTV cameras. However, they are processing special category personal data and the technology must be used in a way that is appropriate, proportionate and necessary. It's for the police to show how any deployment meets those criteria and -- as the ICO [information commissioner's office] has recently reported -- for their oversight boards to hold them firmly to account in doing so."

The current El Nino has already surpassed the highest Pacific temperature anomaly recorded in the modern era, reaching 3.05C above the 1991-2020 average months before its expected peak. The commonly used ONI measure is also on the verge of breaking the 2015 record. Forecasts cited by The Guardian suggest the event could reach about 4.0C later this year. From the report: The latest data shows the temperature rise at the heart of El Nino in the Pacific Ocean has now reached 3.05C. That is higher than the 3.02C set in late November 2015, the previous high set in the 150 years of modern records. This temperature is measured against the average of 1991-2020. The preferred measure of most meteorologists uses a 30-year rolling average as a reference and so takes account of human-caused global heating. This metric, called ONI (Nino3.4), is on the brink of breaking the record, just one-hundredth of a degree below the 2015 record. Both metrics are underpinned by data from the US National Oceanic and Atmospheric Administration (NOAA).

The most recent forecasts predict a peak of 4.0C in November and December, according to the average of 14 different models assessed by climate scientist Zeke Hausfather. That is a level so far above previous events that Hausfather called it "mind-blowing," while others have described it as "Godzilla-level." Any temperature rise above 0.5C is deemed an El Nino; above 2C is officially called a "very strong" El Nino -- often referred to as a "super" El Nino. The current El Nino is likely to be the largest in at least 1,000 years and will pile extra heat into an atmosphere in which temperatures are already rising rapidly due to human-caused global heating. This double whammy means 2027 is expected to "blow apart" previous records and become the hottest year ever recorded.

An anonymous reader quotes a report from Tom's Hardware: NorthPoint Development wants to build a data center on 1,300 acres in the Pocono foothills, near Hazle Township, Pennsylvania. As well as seeking to charm the local government with various funding packages, it has proposed paying checks of $10,000 per household. Despite the Pennsylvania town's median income of $60,000, the offer isn't being warmly welcomed by locals, reports the Wall Street Journal. Those interviewed were widely against the data center development plans and cited several reasons for being averse to accepting the payout. The major concerns regarded potential impacts on property values, the specter of noise pollution, and a distrust of both the AI moguls and local government representatives.

Offer letters began to be received by Hazle Township back in June. The WSJ recently talked to several residents about NorthPoint's $10,000 offer. While some say the $10,000 would be handy, it couldn't find many residents who were "eager to welcome the data center for the payout," in the journal's words. [...] Traditionally, developers have offered towns and cities packages worth tens of millions, including funding for local services. But direct cash payments to residents represent a new phase of their charm offensive, the WSJ indicates. Perhaps the idea for the direct payments to residents came after "a raucous public meeting last year, where angry locals asked what they had to gain by supporting the data center," ponders the source.

The locals won't just get the direct payout, though. Other funds up to $120 million over the next 15 years have been dangled like a carrot for community and local services investments -- improved schools, emergency services, and so on. Meanwhile, Hazle Township's government already rejected the data center project on zoning grounds last year, and it has enacted a temporary moratorium on data center construction. Finally, the $10,000 offer to households is simply not enough in many interviewed folks' opinions. Residents could feel insulted by it, regarding the offer as a bribe, concludes the WSJ report.

An anonymous reader quotes a report from the Associated Press: Walmart is aiming to assuage customers' fears about its new pricing technology as it rolls out digital price labels at its stores. In a statement posted on the company's website, Walmart's CEO John Furner vowed that the Bentonville, Arkansas-based retailer isn't using personal information like income, shopping history or a customer's willingness to pay to set prices, and it won't be doing so in the future either. "We don't set different prices based on who you are or the time of day, and we won't," Furner wrote Friday. "Whether you're buying groceries or electronics on a hot afternoon or in a sudden rush for an item, it's never a reason to charge you more."

The pledge from Walmart comes as concerns are mounting from some shoppers, consumer advocates and lawmakers skeptical about the rollout of digital price labels by the discounter and other stores. Digital price labels are rapidly replacing paper shelf tags at U.S. supermarkets and let stores change prices instantly from a central computer instead of having workers swap out paper labels by hand. [...] Walmart said in March that 2,300 Walmart U.S. locations already use digital shelves, and it expects this technology to be chain-wide within the next year.

The United States and China have agreed to "launch a dialogue" on AI, reports Reuters. On artificial intelligence, the two sides agreed to hold a dialogue on the technology's risks and benefits, with the next round of discussions set for November, and to set up a communication channel for AI-related incidents, the Chinese Foreign Ministry and the White House said.

The White House said that the leaders had agreed to use the term "super intelligence" in place of "artificial intelligence." In a separate statement, the Chinese ministry said that Beijing valued Washington's use of the new term. As AI technology continues to advance, the two sides should step up exchanges and work toward consensus in line with new developments, it said.
But CNN argues that "Despite growing calls to prevent AI development from spiraling out of control, the Trump-Xi summit has produced little substance, as many experts expected." The right thing to do on AI, [China's leader] Xi said during talks with Trump, is to "draw on each other's strengths, not guard against each other" — a reference to Beijing's concern about US containment, from existing tech export controls to potential AI restrictions. "The two sides can continue their dialogue on AI, exchange views on its risks and benefits, and jointly prevent the misuse and abuse of AI," he added. But the summit has yielded little progress on AI beyond a formal dialogue and a bilateral communication channel, proposals discussed before the two leaders' summit — underscoring the entrenched mutual mistrust amid contrasting visions on AI... Because of low levels of trust, cooperation between the two superpowers remains limited, said George Chen, chair of digital practice at The Asia Group consultancy. "Beijing continues to believe Washington seeks to contain China's rise in AI and other emerging technologies, a perception that will shape the pace and scope of future engagement for the two countries on AI," he said.
CNN also points out that while China trails the US in frontier AI models, "it's rapidly narrowing the technology gap while championing a more open ecosystem centered on accessibility and lower cost." In July, Chinese leader Xi Jinping launched the World Artificial Intelligence Cooperation Organization — a rival grouping to the Pax Silica alliance that Trump formed last year to reduce reliance on China for AI supply chains. While over two dozen countries and the European Union signed up to Trump's Pax Silica, Xi has recruited 29 countries, including Russia, Indonesia and Pakistan, to his alternative vision of open models, which allow users to freely download, customize and run without paying hefty fees to American firms like Anthropic and OpenAI. For developers in the Global South, an inexpensive Chinese model from DeepSeek or Moonshot may be more useful than a slightly more capable system requiring an expensive subscription and access to a foreign cloud provider, said Eric Olander, editor in chief of The China-Global South Project, a research agency....

China's embrace of open systems has not always been a top-down strategy by Beijing. Restrictions on access to the most advanced chips because of US export controls, coupled with smaller capital markets, have pushed Chinese developers toward open models as a way to compete with leading US proprietary systems. That shift has proved effective. In a year, Chinese models' global usage skyrocketed from less than 15% to over 54% last week, led by DeepSeek, according to AI leaderboard data by OpenRouter, a marketplace for models. Even American firms, from Airbnb and DoorDash to Shopify, have embraced Chinese models, tapping into the advantages of open systems, including lower costs and greater flexibility for customization.
CNN adds this insight from Alex Colville, an analyst focusing on tech and security at the government-backed Australian Strategic Policy Institute. "The more capable Chinese models become, the less likely it is Beijing may leave them unrestricted."

"Finding vulnerabilities faster also puts pressure on Linux distributions to fix and deliver patches faster," writes Slashdot reader BrianFagioli

AI has transformed bug discovery from "a manual, time-intensive process into a highly automated engine," notes Canonical's blog, leading to a "recent explosion in the volume of CVEs". Additionally, the upstream kernel community became its own CVE Numbering Authority (CNA) and assigned CVE (Common Vulnerabilities and Exposures) identifiers to thousands of bugs, arguing that at the kernel level, almost any type of bug that can affect a running system, could potentially be classified as a vulnerability. As a result, the volume of CVEs has skyrocketed exponentially, creating a massive backlog of alerts and forcing defenders to drastically increase the speed of their fixes to close the window of risk.

To address the growing volume of CVEs and the demand for faster security fixes, we are transitioning to a unified, 2-week release cycle...

While a patch is being prepared, Canonical aims to provide safe workarounds where applicable, so users aren't left exposed in the meantime. Where no safe workaround exists, Canonical will say so clearly and point users toward general hardening steps instead. The goal is to get environments into a defensible, safer state within 24 to 48 hours of public disclosure — well before a patch ships. This doesn't replace the patch; it buys the time needed to fix the vulnerability properly, without sacrificing security.
"Linux did not suddenly become wildly insecure overnight," notes the blog Nerds.xyz. "We are getting much better at finding and cataloging problems that may have previously gone unnoticed." There is something almost ironic about all of this. AI is routinely pitched as a tool that will make software development faster, but it is also making vulnerability discovery faster. That means maintainers now have to accelerate the other side of the equation too.

For Ubuntu users, that should ultimately be good news. More bugs being discovered is preferable to vulnerabilities sitting unnoticed in the Linux kernel.