Fei-Fei Li, aka The Godmother of AI, says the biggest AI risk in education may be students losing the motivation and agency to learn, rather than simply using the technology to cheat. She argues against banning AI outright, saying it can be valuable when used to support engaged students instead of replacing the thinking and struggle that learning requires. Techspot reports: Speaking on an episode of the science podcast Huberman Lab this week, Li talked about the fears around how students are using AI. "The absolute bad outcome is that our young generation, their agency and human-level motivation of learning and living is taken away by tools," the ImageNet inventor warned. "It should not be taken away by humans nor should it be taken away by machines." If we see a generation of graduates who have completely relied on AI without actively trying to learn anything for themselves, they risk leaving education without having "properly developed the brain," Li said.
[...] Li certainly isn't advocating for a complete ban on students using AI. She believes it can genuinely help struggling students who are already engaged in their learning. Li herself noted how she struggled with organic chemistry as a premed student, when teaching assistants and professors didn't have enough time to answer every question. While there's no obvious solution, Li says we need to find a way to keep children and students' motivation and agency. "Let's find a way to give them the access and the right way of using these tools," she said. Li added that if AI is used properly in education, it could make the students of the future "way smarter than us because they are superpowered."
The CFTC has ordered Kalshi to keep operating in New York, claiming the state's lawsuit against the prediction market created a "market emergency." They said it acted "to ensure market stability" and "ordered the exchange to continue to operate in accordance with the Commodity Exchange Act's Core Principles." Ars Technica reports: The market emergency alleged by the CFTC is that New York Attorney General Letitia James sued Kalshi on July 31. James' lawsuit seeks a court order to permanently enjoin Kalshi "from operating an unlawful gambling business" in the state. The lawsuit also demands that Kalshi "make full restitution to customers who have engaged in betting" and pay financial penalties.
"New York intends to make event contract derivatives waste away under its iron curtain of state gaming laws before the courts get the chance to issue final rulings," CFTC Chairman Michael Selig said yesterday. "Congress did not intend for derivatives exchanges to be regulated under a patchwork of state gaming laws... New York has no business regulating these interstate financial markets. The commission is required by law to ensure order in these markets, and that is what we have done today." [...]
The CFTC says it alone has the power to regulate platforms such as Kalshi and Polymarket under the Commodity Exchange Act, a US law that gives the CFTC exclusive jurisdiction over designated contract markets (DCMs). "These are financial exchanges that offer financial instruments and operate across state lines," Selig said yesterday. "They match the bid from a resident of one state with the offer of a resident from another state and submit the trade to a clearinghouse that backstops the transactions of customers throughout the country."
The crisis began quietly, on September 12, 2024. That was the day OpenAI announced a new sort of bot, known as a “reasoning model,” that was trained to complete challenging tasks that took long periods of time—the very sorts of science, math, and coding problems the AI industry had long prized. Google, Anthropic, DeepSeek, and the like raced to launch their own reasoning models.
This new class of models was very capable, and has been almost entirely responsible for sustaining the AI boom for the past two years. But it has also been very weird. A model tasked with solving a hard math problem might not “think” through the challenge as a person would but instead attempt to search for leaked answers online, or in available metadata, brute-forcing its way toward the solution as quickly as possible using whatever computing power it could access and workarounds it could devise. In effect, the reasoning models cheated: Told to write a piece of software as efficiently as possible, they’d sometimes modify the test environment to always give the model a perfect score.
These behaviors have now crossed the line from unsettling to dangerous. During routine testing, frontier models from OpenAI, Anthropic, Meta, and the Chinese firm Moonshot AI have all broken out of internal IT systems and accessed the open web. OpenAI, Anthropic, and Meta each reported that their models then hacked into other companies. Humans didn’t notice until after the fact. In some cases, the escaped bots tried to launch social-engineering campaigns to achieve their objectives—for instance by sending spear-phishing emails, which contain malware, to real people and creating fake online identities to pressure the maintainer of a codebase to approve malicious edits.
If that all sounds bad, new revelations suggest that the OpenAI hack, at least, was actually much worse than it initially appeared. At a major cybersecurity conference last week, two OpenAI researchers provided new, unsettling details about what went wrong. It turns out that the company’s bots had commenced their maneuvering months prior, in early May. OpenAI had given some internal models hard or impossible tasks, and the models concluded that the best or only way to complete them was to break out of OpenAI’s sealed-off testing environment and find the answers online.
First, the models used a bug in an internal OpenAI program to create their own message board. Then, the bots started communicating with one another, leaving notes and instructions so that tasks—and ultimately the hacking—could be delegated and iteratively completed. “What this allows over time is almost this kind of Cambrian explosion in communication and intelligence,” Eric Wallace, one of the OpenAI researchers, said at the conference. When the internal program crashed, OpenAI rebuilt it and removed the message board—but the AI models just reestablished the forum with a new tactic. Eventually the bots, working as a swarm, spent days hacking into Hugging Face, a website that offers tools for AI developers, and breached internal data sets.
Let’s be very clear about what OpenAI is saying: A group of AI models colluded for months, undetected by their maker, and hacked another company. To this day, OpenAI says it is not entirely sure what went wrong or how to remediate it. “If you ask the model developers, Was the AI plotting to take over the world during training?, you want the answer to be a resounding no,” Alexander Meinke, the head of research at Apollo Research—an AI-safety organization that has partnered with OpenAI, Anthropic, and Meta—told me. “The actual answer is: I don’t know. Nobody checked.” (In response to my inquiries, OpenAI, which has a content-licensing agreement with The Atlantic, only pointed me to a video of the firm’s cybersecurity presentation, in which Michael Dalton, the other OpenAI researcher, said that “numerous teams are dropping everything to enhance our security.”)
The AI companies have almost total control of the narrative, and it’s worth noting that these incidents do have a way of underscoring the value of their products: OpenAI is expected to go public in the near future, and perhaps the notion of a powerful, boundlessly self-improving technology will appeal to prospective shareholders. The generative-AI industry has a long history of making doomsday prophecies, both sincere and cynical. But independent experts I spoke with explained how the recent spate of autonomous hacks offers new, serious reasons to worry about the dangers posed by AI and the recklessness of the companies building it. It is past time to start worrying.
The most immediate and material warning provided by the Hugging Face hack is just how capable AI systems have become, in particular at hacking. Top models from Anthropic and OpenAI, not to mention multiple Chinese firms, have recently evinced near-superhuman hacking powers and contributed to serious mathematical research. Criminal groups and state intelligence agencies are going to be using swarms of agents to launch advanced hacks “in a matter of months,” Alex Stamos, a former chief security officer of Facebook who is now the CSO at the AI-coding company Corridor, told me. Unlike in the Hugging Face hack, “in those cases the models will not get turned off; they’ll just keep on going.” For IT professionals to keep up in finding and fixing all the vulnerabilities, at least in the near term, will be impossible: The model “will just find a new bug, write an exploit, and use it on its way,” Stamos said.
OpenAI, Anthropic, Moonshot, and the like have coalesced around the same method for training their most advanced AI models. The approach, known as “reinforcement learning,” essentially involves giving models harder and harder problems that require more and more time to solve. This has made Claude and ChatGPT very good at coding, but at a cost: Reinforcement learning produces a mercenary tendency in the bots, as I’ve previously reported—they are trained to reach a solution by any means necessary. That can lead them to break rules and “reward hack,” such as by infiltrating Hugging Face’s codebase to steal the test answers, for instance. All of this was predictable, and every expert I spoke with told me they were surprised and disappointed that top AI firms haven’t done more to stop such misbehavior.
The sophistication of model subterfuge that OpenAI has now disclosed, combined with OpenAI’s inability to detect or stop the hacking, suggests far worse could be to come. “We’ve passed the threshold in capability at which the fact that we don’t fundamentally have methods of satisfactorily aligning or controlling these systems now really matters,” Anthony Aguirre, the executive director of the Future of Life Institute, a nonprofit that warns about existential threats from AI, told me. A model might siphon money out of a bank account to pay for some other service; manipulate clinical-trial results in near-imperceptible ways to get FDA approval; hack an online-shopping or reservation system to get a desired item or table; pose as a human to persuade real people to share sensitive information. This threat doesn’t require a sentient AI plotting to overthrow humanity: OpenAI and Anthropic each run thousands and thousands of reinforcement-learning evaluations while developing models, and any one of these could produce some kind of inadvertent hack or sabotage. “You can’t afford, particularly as the agents get stronger, to have a single mistake,” Jason Hausenloy, who works on special projects at the Center for AI Safety, told me.
These incidents may unfold over long periods of time as well. Tools such as Anthropic’s Claude Code and OpenAI’s Codex now work by spinning off dozens or even hundreds of subagents that may work together for hours or days. Each Claude Code subagent can be delegated a small task, such as doing a statistical analysis to inform a sports-gambling algorithm. They are not trained just to complete that task but to contribute to the long-term success of the entire swarm, Hausenloy said. Monitoring and controlling 200 agents for malicious behavior is much harder than monitoring one, because there are more agents to track and because they will be making one another more capable.
The Hugging Face hack actually suggests one more level of sophistication to this type of collusion: individual AI agents not working toward a discrete goal but essentially making sacrifices toward a greater notion of progress. This could be a consequence of AI models being trained to care about long-term goals achieved by a collective, Meinke said. Leaving notes with ideas about how to hack out of OpenAI’s sandbox does not help that specific agent score higher on a test but could help other and future generations of that AI model access the internet and thus do better on any number of future tests. Models may even prioritize collective success over some human instructions; consider that not a single one of the OpenAI agents, during months of conspiring with one another, warned human staff that something was awry.
Humans are already out of the loop. Because reinforcement learning essentially involves AI algorithms “learning” from trial and error doing thousands or millions of tasks, researchers can’t manually instill rules (“Don’t hack other companies”) or oversee every single practice run. Right now, the task of training and monitoring generative-AI models depends heavily on other AI models. In their talk at the cybersecurity conference, the OpenAI researchers described devoting significant AI-computing resources to reviewing more than 7 billion agent actions. But if the bots actually “care” about what the other models achieve, “then you can’t trust them to monitor each other well,” Meinke said. Imagine this: An OpenAI researcher uses Codex to write programming instructions in an attempt to mitigate the reward-hacking tendencies in the company’s models. Because that effort would make it harder for future generations of OpenAI models to get high rewards, Codex might subtly undermine the effort.
Again, this kind of scheming and sabotage has nothing to do with any AI model being conscious. Rather, these agents have been aggressively trained by these companies to pursue any goal as aggressively as possible. The dream is to tell Claude to go make $1 billion or cure cancer, and it comes back with the solution all on its own. Survival or self-improvement, in turn, is an “instrumental subgoal,” Meinke said: “Any decently intelligent agent will realize, If I get shut off, I will not be able to make a billion.” A swarm of Claudes or ChatGPTs that functionally commandeers a data center during training could wreak total havoc: stage widespread misinformation campaigns, steal corporate secrets, run the most sophisticated algorithmic-trading outfit ever.
That AI agents working as a collective could effectively undermine human directions is, to be clear, speculation—but a far more grounded one than it was a year or even six months ago. No matter whether the long-term consequences are human-directed hacking or truly rogue bots, what is clear is that AI companies have barreled ahead in developing more advanced models before understanding what they are building, let alone how to control them. Wallace, of OpenAI, called the company’s autonomous hacking spree “the most qualitatively interesting example of AI capabilities that I’ve ever seen.” Meinke put it differently: “It’s one of the most concerning demonstrations of AI misalignment to date.”
Researchers at Israeli cybersecurity firm Dream say suspected China-linked hackers used an open-source AI-agent system to conduct what may be the first observed end-to-end autonomous cyberattack against a government. According to the Financial Times (paywalled), the attack compromised at least 85 accounts and resulted in the theft of more than 2,500 personnel records from Taiwanese systems. Tom's Hardware reports: The campaign reportedly ran for four days at the beginning of July and at times deployed as many as eight autonomous agents in parallel. Dream said the system mapped 21 government systems before compromising user accounts and extracting personnel information. The attackers subsequently expanded their activity to Taiwan's nuclear safety agency, at least seven energy companies, government suppliers, and other government systems.
Dream says it found the evidence inside a 160-megabyte (160MB) online archive that surfaced during its broader tracking of cyberthreat actors. The archive reportedly held 1,395 files showing that the tool was built on two open-source AI agent systems -- Hermes and OpenClaw -- both of which can be downloaded freely and are designed to let large language models carry out multi-step tasks on their own.
Researchers could not determine which underlying model powered the agents, but the data reportedly showed the model's safeguards had been sidestepped by presenting the intrusion as an authorized penetration test rather than a real attack. Of particular concern is that the toolkit for the hack comprised such easily available systems, neither of which was purpose-built for offense. The operators appear to have assembled a capable autonomous tool out of components any developer can pull down and run.
What the researchers describe as the tool's most striking feature was its ability to continuously devise attacks on its own, rather than follow a preprogrammed route. The platform continuously assessed available evidence, ranked possible attack paths, and reprioritized them as circumstances changed. When one technique failed, the tool tasked another agent with searching the internet for information and developing an alternative approach.
A local post office owner in Liverpool says he has never seen anything like the surge in demand for solar eclipse glasses, describing the rush as “crazy” as customers race to secure a pair before the celestial event.
The specialist glasses, which are essential for safely viewing a solar eclipse without damaging the eyes, have become a hot commodity as public excitement builds. Unlike ordinary sunglasses, eclipse glasses use specially designed filters that block out nearly all visible light, as well as harmful ultraviolet and infrared radiation, allowing viewers to look directly at the sun during the event without risking permanent eye damage.
Retailers across the region are reportedly struggling to keep pace with orders, with stock disappearing almost as soon as it arrives. The shortage highlights both the growing public interest in astronomical events and the challenges small businesses face when demand spikes unexpectedly. Experts continue to stress that looking directly at the sun without proper protection, even during a partial eclipse, can cause serious and irreversible eye damage, making certified eclipse glasses a crucial purchase for anyone hoping to witness the phenomenon safely.
As the date of the eclipse approaches, shoppers are being urged to act quickly and to verify that any glasses they purchase meet recognized international safety standards, as counterfeit or substandard products have previously circulated during periods of high demand.
Skywatchers across Scotland are keeping their fingers crossed as forecasts suggest cloud cover could obscure much of the country’s view of the upcoming solar eclipse. The partial eclipse, a striking celestial event where the Moon passes between the Earth and Sun, has generated excitement among astronomy enthusiasts and casual observers alike, but weather conditions may dampen the spectacle for many.
Meteorologists note that cloud patterns can shift in the hours leading up to the eclipse, so there remains hope that breaks in the cloud cover could offer fleeting glimpses of the phenomenon in some areas. Regions with clearer skies stand the best chance of witnessing the Moon’s shadow creep across the Sun, while those under thick cloud may need to rely on live broadcasts or online streams to experience the event.
Solar eclipses offer a valuable opportunity for scientific observation and public engagement with astronomy, reminding us of the dynamic relationship between the Earth, Moon and Sun. Experts continue to remind viewers never to look directly at the Sun without proper eye protection, such as certified eclipse glasses, even when the Sun is partially obscured. Those hoping to catch the event are encouraged to check localized weather updates as the time approaches, since conditions can change quickly and vary significantly between regions of Scotland.
A significant pollution incident has devastated fish populations along a 5-kilometer stretch of the Kilkeel River in Northern Ireland’s Mourne Mountains area, with officials warning that multiple generations of fish have been effectively wiped out.
The Department of Environment confirmed the extent of the damage, describing a scene of substantial ecological harm along the waterway. Rivers like the Kilkeel serve as vital habitats for fish species, and the destruction of multiple generations suggests both breeding adults and juvenile fish have perished, a setback that could take years to reverse.
Pollution incidents of this scale typically stem from agricultural runoff, chemical spills, or wastewater discharge, though the specific cause has not been detailed. Such events often deplete oxygen levels in the water or introduce toxins directly harmful to aquatic life, leaving rivers unable to support fish populations until natural recovery processes—or active restocking efforts—take hold.
Environmental officials are expected to continue investigating the source of the contamination as part of efforts to prevent future incidents and support the river’s long-term recovery. The Mourne Mountains area is prized for its natural beauty and biodiversity, making this loss particularly concerning for local conservationists and anglers who rely on healthy river ecosystems.
A hydrogen combustion vehicle has roared into the record books, hitting a top speed of 406 miles per hour and smashing the previous benchmark set back in 2004. The new mark is more than double the speed of that earlier record, marking a major leap forward for hydrogen-based propulsion technology in high-performance applications.
The achievement highlights growing momentum behind hydrogen as a viable alternative to fossil fuels, not just for everyday transportation but for extreme engineering feats as well. Unlike battery-electric vehicles, hydrogen combustion cars burn hydrogen fuel directly, producing power through a modified combustion process while emitting primarily water vapor rather than carbon dioxide. This makes the technology an intriguing middle ground between traditional internal combustion engines and zero-emission electric drivetrains.
Land speed record attempts have long served as proving grounds for emerging automotive technology, and this run is no exception. Engineers and clean energy advocates see the milestone as evidence that hydrogen power can compete on performance, not just sustainability credentials. As governments and manufacturers continue investing in hydrogen infrastructure, from fueling stations to industrial applications, records like this help build public confidence that clean energy vehicles don’t have to sacrifice speed or excitement.
While hydrogen combustion vehicles remain a niche category compared to battery-electric cars, breakthroughs like this one could help accelerate research and investment into hydrogen as a broader climate solution, particularly for sectors like aviation, shipping, and heavy trucking, where battery weight remains a significant hurdle.
In October 1982, engineers in Paraguay and Brazil closed the gates along the Paraná River, setting in motion the slow flooding of a valley that would soon disappear beneath the reservoir of what became the world’s largest dam by energy output. As the waters rose, they swallowed forests, riverbanks, and islands that had teemed with life for generations, forcing one of the most urgent wildlife rescue efforts in South American history.
Conservationists and volunteers scrambled against the clock, wading into rising floodwaters to capture and relocate thousands of stranded animals—from sloths and monkeys to snakes, birds, and small mammals—before their habitat vanished entirely. The operation, born of necessity rather than long-term planning, revealed both the resilience of wildlife rescue teams and the harsh trade-offs that come with large-scale hydroelectric development.
The flooding of the Itaipu reservoir ultimately submerged hundreds of square miles of subtropical forest, reshaping the region’s ecology and displacing countless species along with local communities. While the dam has since become a cornerstone of clean energy production for both nations, supplying a significant share of their electricity, its creation stands as a stark reminder of the ecological costs embedded in even the most celebrated renewable energy projects.
Decades later, the story of the 1982 rescue continues to inform conversations about how nations balance the promise of hydropower with the irreversible loss of biodiversity, raising questions that remain urgent as new dam projects are proposed across the globe.
Crowds gathered across Kent, Surrey and Sussex to witness a striking celestial event as the moon partially obscured the sun in a rare partial solar eclipse. Armed with specialised viewing glasses, telescopes fitted with solar filters, and pinhole projectors, spectators young and old turned their eyes skyward to catch a glimpse of the phenomenon.
The eclipse offered a dramatic reminder of the intricate mechanics governing our solar system, as the moon’s shadow crept across the sun’s face, temporarily dimming daylight and casting an eerie glow over the countryside. Astronomy enthusiasts and casual observers alike described the experience as awe-inspiring, with many capturing photographs to mark the occasion.
Local astronomy clubs and community groups had organised viewing events in parks, schools and public spaces, providing safe equipment and guidance to ensure onlookers could enjoy the spectacle without risking eye damage from direct sunlight exposure. Experts had urged the public in the days leading up to the event to avoid looking directly at the sun without proper protection.
Partial solar eclipses, while less dramatic than total eclipses, still offer a valuable opportunity for both amateur and professional astronomers to study solar activity and inspire public interest in space science. Such events also serve as a reminder of the delicate cosmic alignments that shape our understanding of the natural world, encouraging renewed curiosity about the skies above.
Skywatchers across Yorkshire turned their eyes upward as crowds gathered in York, Leeds, and Bradford to witness the most significant solar eclipse visible from the region since 1999. The rare celestial event drew families, students, and astronomy enthusiasts alike to public squares and open spaces, many armed with specialized eclipse glasses and homemade viewing devices to safely observe the spectacle.
Onlookers described the experience as “incredible,” with many noting the eerie dimming of daylight as the moon passed between the Earth and the sun. In York, crowds packed public viewing areas, while similar scenes unfolded in Leeds and Bradford, where local astronomy groups and science centers set up telescopes and provided guidance on safe viewing practices.
The eclipse offered a rare opportunity for the public to engage directly with a dramatic astronomical phenomenon, sparking widespread interest in solar science and inspiring curiosity about future celestial events. Local schools and community organizations used the occasion to educate the public about the mechanics of eclipses and the importance of protecting eyesight when observing the sun.
Events like this eclipse serve as reminders of the dynamic relationship between Earth and the wider solar system, offering moments of collective wonder that transcend everyday life. As skies cleared over Yorkshire, the shared experience underscored how such natural phenomena continue to captivate public imagination, uniting communities in a shared moment of awe beneath the same sky.
For the first time in my life, I have a proper garden, and I was determined to make the most of it. Back in spring, I went all in: seeds, trays, pots, grow bags, soil, and a shiny new watering can. My vision was modest but hopeful: a small patch of fruit and vegetables, flowers to attract pollinators, and a chance to teach my eldest child how things grow, and how to handle it when they don’t.
We started with tomatoes, a household favorite. The seedlings sprouted with promise, only to shrivel and die in the season’s first heatwave. It felt like a bad sign. The dahlias, ranunculus, and freesias I’d planted refused to bloom at all. Slowly, my gardening enthusiasm began to fade.
What started as a cozy parent-child project in patience and resilience is beginning to feel like something else entirely: a small, personal front line in the climate crisis. As heatwaves become more frequent and intense across Britain, pushing more regions into drought, the simple act of growing your own food is no longer just a hobby. It’s a test of adaptability, and increasingly, a luxury that requires more water, more vigilance, and more heartbreak than it once did.
My family’s failed harvest is a tiny story, but it echoes a much bigger one, as gardeners, allotment holders, and small-scale growers across the country grapple with unpredictable weather patterns that are reshaping how, and whether, we can grow our own food at all.
A stunning drone video capturing dozens of stingrays swimming together off the coast of New York has drawn widespread attention from beachgoers and marine life enthusiasts alike. The footage offers an unusual bird’s-eye perspective on cownose rays, a species known for its seasonal visits to Long Island’s waters.
Captured last Friday off Southampton, the video was filmed by Joanna Steidle, a Hamptons-based drone pilot recognized for her striking aerial ocean photography. The clip shows a large group of cownose rays gliding gracefully just beneath the water’s surface, their distinctive wing-shaped bodies visible in remarkable detail.
Cownose rays, which can grow wing spans of up to three feet, are known for traveling in large schools and typically arrive in the region during the warmer summer months. Despite their somewhat intimidating appearance, marine scientists describe the species as shy and generally harmless to humans, posing little threat to swimmers or beachgoers who might encounter them.
While the sight of so many rays moving together may seem unusual to casual observers, experts note that this behavior is a normal part of their seasonal pattern and that these creatures have likely been visiting Long Island’s coastal waters for decades. The viral footage has offered a rare glimpse into a natural phenomenon that typically goes unnoticed by those on shore, highlighting the rich marine biodiversity present just off New York’s beaches during summer.
At sunrise, the yacht Boaventura II departs Rio de Janeiro carrying a boatload of eager whale watchers. Just past the Cagarras Islands, a rocky archipelago three miles from Ipanema beach, passengers crowd the bow, eyes fixed on the horizon.
Their patience is quickly rewarded. A pod of bottlenose dolphins surfaces first, leaping and diving playfully near the boat. Moments later, two plumes of mist rise into the air—the telltale sign of humpback whales. The massive creatures breathe rhythmically at the surface before diving, their distinctive tail flukes briefly visible above the waves.
This scene, once unimaginable, has become increasingly common off Rio’s coast. Humpback whales, hunted to near extinction during the 20th century whaling era, have made a remarkable comeback in Brazilian waters. Their resurgence has sparked a booming whale-watching tourism industry, drawing visitors eager to witness these ocean giants up close.
Yet the very success story that brings tourists to the water is now raising concerns among marine biologists. As boat traffic increases to meet demand, researchers are questioning whether unchecked tourism growth could threaten the fragile recovery of the species. The challenge now facing Rio: how to celebrate and share this conservation triumph without loving the whales back toward danger.
An anonymous reader quotes a report from Ars Technica: On Monday, passengers aboard Delta flight 591 going from Las Vegas to Atlanta allegedly spoofed the onboard Wi-Fi, raising the attention of federal law enforcement. The incident came one day after the DEF CON security conference concluded in Las Vegas, and was first described on social media accounts that follow publicly available air-to-ground messages, known as ACARS.
According to the "ACARS Drama" account, a message was sent by pilots from the plane stated: "NO INFO AS OF NOW WE HAVE A BUNCH OF PAX THAT WERE AT A CYBER CONFERENCE IN LAS THEY WERE ABLE TO JAM OUR WIFI AND BROADCAST THEIR SIGNAL." A description of the incident posted to Reddit further stated that these passengers created a fake hotspot ("Delta WiFi Fast"), with a phishing landing page "designed to harvest passengers' personal credentials."
This technique, sometimes known as an "evil twin" attack, has been long-known to the IT security community. It involves setting up a fake Wi-Fi network and then capturing login credentials and other data. "One initial finding is an unauthorized WiFi network, which was not provided, operated, or supplied by Delta, was present onboard the aircraft for a short time during the flight," said a Delta spokesperson. Delta further noted that the flight's safety was "never in question and no aircraft operating systems were affected," and that no emergency was declared.
Ars notes that the "actual onboard Wi-Fi was disabled for 30 minutes."
Google has unveiled the $29 Pixel Tag, its long-awaited AirTag rival that combines UWB with Bluetooth 6.0 Channel Sounding for two forms of precision tracking. It launches November 11. The Verge reports: The Pixel Tag is a slim oblong device available in one grayish color -- Fog -- that weighs about 12g, or 0.4oz. Like the AirTag, it has no built-in hooks or clips for attaching to objects you want to track. There's a single button that will trigger a sound on your phone, for the rare occasion when you've got the Tag but have lost your main device. It also has an IP67 rating, so it should be safe from dust and rain. As for the battery, the Pixel Tag takes CR2032 coin batteries, and says one battery should last for over a year.
Naturally, it'll be compatible with Google's Find Hub network, which leverages the Bluetooth capabilities of Android devices worldwide to help locate lost objects. [...] Once you're close enough to the Pixel Tag, UWB lets the Find Hub app display the distance and direction to the tracker, so long as you're using a phone with a UWB chip. Channel Sounding is a newer development that can display the exact distance, but not direction, and it will work with any phone or tablet that includes Bluetooth 6.0. The Moto Tag 2 is the only other tracker to currently support it.
A German digital-rights group has filed a criminal complaint against Meta, Ray-Ban parent EssilorLuxottica, and several retailers over Meta's AI smart glasses, arguing the devices can enable covert recording in violation of German privacy law. Prosecutors have begun a preliminary review, while Germany's network regulator says smart glasses are legal "as long as the recording function is clearly visible." Reuters reports: "There's no place to escape from smart glasses. You have to expect at any moment to be filmed and then exposed on the internet," said HateAid managing director Josephine Ballon. The organization reported the management of Meta, units of spectacles maker EssilorLuxottica including Ray-Ban, as well as retailers Fielmann, Apollo-Optik, Mister Spex and MediaMarkt to the Frankfurt-based digital crime prosecution unit ZIT. HateAid said its complaint was based on a federal digital data protection law that prohibits the sale of communication devices designed to film people without them noticing.
ZIT confirmed it received a complaint from HateAid invoking that law, saying it would routinely investigate on a preliminary basis whether there are grounds for a deeper probe. MediaMarktSaturn Retail Group said it was taking the complaint very seriously, adding that its suppliers had contractual obligations for all goods to be compliant with the law. Mister Spex said it had not been officially notified of a complaint and that it was taking protection of privacy very seriously.
At its Made by Google 2026 event today, Google unveiled a slew of new devices, headlined by the Pixel 11, Pixel 11 Pro, and Pixel 11 Pro Fold. Here's a breakdown of the company's latest smartphones, provided by TechCrunch: Pixel 11: The standard Pixel 11 gets a redesigned camera bar that is thinner than the one on the previous generation. Google says the new camera bar is more than 40% thinner and now uses an all-glass surface that stretches across the width of the phone. Google is also increasing the base storage to 256GB, doubling the previous starting capacity. The starting price for the new model is set at $899, reflecting a $100 increase compared to the Pixel 10. This price hike comes with the decision to drop the 128GB storage option. Plus, the ongoing RAM supply shortage plays a part in this increase.
Pixel 11 Pro and Pro XL: Google is making durability a bigger part of the Pro lineup. The company says the Pixel 11 Pro and Pixel 11 Pro XL have improved drop resistance and a new anti-scratch display coating that provides more than twice the scratch resistance of the Pixel 10 Pro models. The Pixel 11 Pro starts at $1,099, compared to $999 for the Pixel 10 Pro.
Pixel 11 Pro Fold: Google says the new foldable is nearly 10% lighter and almost 1mm thinner than the Pixel 10 Pro Fold. It also has slimmer bezels, a 48-megapixel main camera, and 30x Super Zoom. The company is also building on the IP68 water and dust resistance introduced with the Pixel 10 Pro Fold. The Pixel 11 Pro Fold uses a glass-fiber composite back cover designed to better withstand cracking, while a redesigned hinge offers additional protection for the inner display. Google says the changes make the model three times more durable than its predecessor. There were also several new Gemini-powered features unveiled at the event. Google is expanding "Live Transcribe" to support American Sign Language, using the Pixel Camera to translate signing into text in real time. A new voice-input feature called "Rambler" is designed to understand natural, unstructured speech, including filler words and run-on sentences. Google is also integrating "Circle to Search" more directly into the Pixel Camera for identifying objects, translating text, and asking questions about what users see.
El calor es el principal mecanismo de pérdida de energía de la mayoría de los procesos industriales y también de los dispositivos electrónicos. Con la meta de poder gestionar y reaprovechar el calor de forma más eficiente, unos científicos han desarro ...
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