Connexion
Using Google's products and services has always been fundamentally precarious—doing so gives the world's largest advertising company a lot of juicy personal data. Google has long said it won't use the sensitive data from products like Gmail, Drive, and Photos for ad personalization, but a change to the company's privacy policy appears to dismantle that firewall.
On October 16, Google issued an update to its privacy policy, spotted by Android Authority. The ad personalization section used to include a clear limit on data from certain apps. "We don’t show you personalized ads based on your content from Drive, Gmail, or Photos," the document said. Now, Google has updated it with the following language.
Updated language on when your sensitive data might inform ads.
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Google
This equivocation opens the door to using data from apps like Gmail and Photos in ads when it's shared with other Google services, and it just so happens Google has a mechanism for doing that, with Personal Intelligence. The company released Personal Intelligence in early 2026, allowing users to hand data from multiple apps to Google AI products. The idea is that the added context from your existing data will lead to better AI answers, but it's also proving to be a privacy minefield.
Much of what we know about how a brain makes decisions comes from studying monkeys watching dots. In a task known as a random-dot-motion task, a cloud of flickering specks drifts weakly in one direction while the subject tries to determine whether—and in which direction— it’s moving. The task has shown that in the primate neocortex, neurons gather visual evidence over time, with their firing rates climbing until they cross a threshold, when the animal commits to a decision.
But avian brains don’t have a neocortex, so it wasn’t obvious how they made similar decisions.
“This was the big question,” said Andreas Nieder, a neurobiologist at the University of Tübingen. “How [would] a differently organized avian brain encode decisions?”
US chip champion Intel was so confused by the US government ban on foreign-made robots that it requested and received a waiver “out of an abundance of caution.” The tech company wanted to make sure that it could continue using certain robotic vehicles in its US chip fabs.
The uncertainty surrounding the Federal Communications Commission ban on certain foreign-made robots was revealed in the agency’s decision to grant Intel’s waiver request. On October 22, the FCC published its order allowing Intel to continue using the foreign-made robots in US semiconductor manufacturing facilities for a period of one year.
The robots in question are automated guided vehicles operating on “tracks or predefined paths” while often requiring operator oversight, according to Intel’s website. They help to move materials and items around within warehouses and factory floors.
Elon Musk’s Starlink satellite service has played a pivotal role in supporting Ukraine’s successful resistance to Russia’s full-scale invasion for years. But with Starlink having become increasingly unreliable due to Musk’s political inclinations and the latest surprise disruptions to service in Ukraine, the Ukrainians and Europe as a whole are now facing urgent questions about how to move forward without it.
As the world’s largest communications satellite network, Starlink can typically support high-speed Internet and data streams for any user or vehicle equipped with a relatively compact Starlink terminal. This has enabled Ukraine to maintain vital communications for both civilian purposes and military operations—and has also expanded the Ukrainian military’s capability to remotely control or provide guidance to drones used in both air defense against Russian attacks and for striking back at Russian targets.
“Starlink currently offers some of the best satellite coverage available, with virtually no competitors when you consider the combination of cost, availability, and ease of use,” according to the head of hardware R&D at the Ukrainian defense company BlueBird Tech, who provided comments to Ars anonymously for security reasons. “In practical terms, the main limitation is the need to position the antenna so it can receive signals from the satellites.”
Those mourning yesterday's shuttering of highly praised and influential developer BioWare also had to deal with the cancellation of the next Mass Effect game, which was first teased back in 2020. Today, we got our best look at what that game could have been with a short, leaked trailer for Mass Effect: Universe.
In the roughly two-minute montage—which describes itself as "in-engine footage from our small team" that "uses our pre-production assets"—an ex-military officer wearing an N7 trenchcoat (similar to the one seen in that 2020 teaser) encounters an Asari at a bar. He talks of his frustration with military life—"by the time you put out one fire, another had already started"—before discussing his new line of work "stopping [the fires] before they start" and "making the choices no one else is willing to make. Going where others are afraid to go."
Mass Effect: Universe Trailer
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Amazon has warned that vulnerabilities in a programming language that underpins much of the Internet, discovered using AI tools, are being “broadly exploited” as governments and companies rush to secure their systems.
The world’s largest cloud computing provider on Wednesday said it had identified an attempt by hackers to exploit the bug four days before the weakness was disclosed to the public.
Amazon added the flaws were “now being broadly exploited in the wild.”
Lord of the Rings: The Rings of Power returns next month for its third season. Prime Video unveiled a teaser earlier this year at San Diego Comic-Con, but we haven't heard much about the new season otherwise. We now have the official full trailer, and it's jam-packed with a rising Sauron, who is intent on conquering Middle-Earth with his army of Orcs—with the fractured opposition of elves, dwarves, and men scrambling to figure out how best to stop him. We also meet the human men who will become the Ringwraiths; the showrunners have dubbed them the Nazgnagol ("Rings-servant").
(Some spoilers for the first two seasons below.)
Prime Video made a major investment in The Rings of Power when it acquired the rights to the source material from the Tolkien estate, even committing to multiple seasons upfront. S3 is set seven years after the events of S2 and opens when the war between the elves and Sauron is at its height. Per the official synopsis:
Hoping to quell criticism, Meta has dropped the word “train” from its “streamlined” commercial terms of service that kick in on October 30.
Last week, Meta faced backlash after legal experts warned that the tech giant’s sweeping new commercial terms of service seemed to give Meta permission to endlessly scrape websites linked on business pages. Talking to Nieman Lab, experts suggested that Meta could possibly use the policy to avoid millions in licensing fees from news organizations by requiring all business users to share a wealth of AI training data simply for running a business page.
A Meta spokesperson confirmed that Meta did not alert users to the changed language following backlash. This potentially only adds to confusion ahead of the policy rollout. In response to backlash, Meta's spokesperson provided a statement to Ars, acknowledging Nieman Lab's initial report but not its follow-up report reiterating experts' concerns:
Google kicked off 2026 with the addition of Personal Intelligence to Gemini, allowing its AI to pull in more of your data to formulate answers. It started as a paid feature but eventually came to all Gemini users. However, this feature wasn't available in the car until now. Google is rolling out Personal Intelligence to Android Auto and Google Built-in, and it is still, thankfully, an optional feature.
As Google points out, a generative AI's outputs are better "when it knows the world and knows you," which is correct in an uncomfortable sort of way. The more context you can provide to a model, the better the output will be at the end of the token shuffle. Since Google has so much of your data already, it sees Personal Intelligence as a differentiator versus other AI systems. You don't have to provide the AI context because it already has it from apps like Gmail and Calendar.
Personal Intelligence is beginning its rollout in Android Auto today, and it will come to vehicles with Google built-in in the next few months. As an aside, "Google built-in" is questionable branding, but it refers to cars that run Google software in the infotainment system rather than projecting an interface from your phone. Very few vehicles have Google built-in, but Google often releases new car features on them first. This time, it's the other way around.
Ukraine’s unprecedented drone rescue of a wounded soldier from the battlefield has shown once again how battlefield necessity can spur innovation. The operation was revealed just days after separate Ukrainian drones designed for casualty evacuation were deployed for frontline testing—taking a step beyond the US military’s decades of experimentation with similar concepts.
The drone evacuation of the injured soldier took place at an undisclosed time and place on the frontline where the presence of Russian drones and landmines made it impractical to send in a wheeled ground robot, according to The Kyiv Independent. On October 19, Ukraine’s Army shared a video of the drone evacuation, showing the wounded soldier securing himself in a harness suspended beneath a heavy hexacopter drone with six rotors before being flown to safety.
“This is a historic event, the next stage of evacuating the wounded, which we will all come to,” said Napalm, a programmer of the 92nd separate assault brigade's unmanned ground systems company, who went by his callsign per Ukrainian military practice, in a statement. “Now the serious systematic work begins, so that such missions are carried out constantly.”
In copyright lawsuits over AI training, Meta has spent weeks blaming staff for downloading torrents. The company has now been ordered to name executives who authorized decisions to pirate books from shadow libraries like Anna’s Archive and LibGen, TorrentFreak reported.
In a discovery order impacting a class action raised by book authors—including Richard Kadrey and Sarah Silverman—as well as a lawsuit from publisher Entrepreneur Media, Magistrate Judge Thomas Hixon largely agreed that Meta must clearly identify key decision-makers. Following testimony from Meta staff who downloaded torrents, the order could expose a wider range of supervisors, managers, and executives whom staffers said greenlit the piracy.
Meta had been hoping to avoid detailing the chain of command, particularly for leadership involved in early AI training. According to a Meta court filing, its initial efforts to compile massive AI datasets were managed through an “informal approach" where supposedly nobody with authority made any decisions. Instead, Meta insisted that a “decision” was “made only in the sense” that some staffers “technically” downloaded torrents.
Muse, the new general-purpose AI agent from Meta, can expose sensitive information when users share conversations through web links, researchers reported Monday. In response to questions from Ars about the behavior, Meta said it's suspending the sharing feature while the company reviews it and considers making changes.
Like many online services, Muse has allowed users to share searches, conversations, images, and similar content with other people. Such share features usually involve clicking an option to create a unique URL that anyone can use to load a page hosting the content. To keep potentially sensitive information from being accessible to unintended people, the URLs typically contain a long sequence of text that can’t be easily guessed.
Muse, which Meta CEO Mark Zuckerberg said last month was “built from the ground up for privacy and security,” seems to take the same precautions. But a central design decision for constructing URLs has made the links easy to discover. As a result, researchers from security firm Claroc said they were able to enumerate 6,800 links Muse users created for sharing conversations with others. After opening a few hundred of them, the researchers found information that was clearly not intended to be publicly available, including:
On Monday, a court granted the US government's request to deny release of a former OpenAI engineer accused of bugging a top-secret conference room to steal the frontier lab’s secrets.
In a court filing Sunday, US attorney Craig Missakian argued that Abdulrahman Alfozan must continue to be detained while the US makes its case that Alfozan brazenly spied on OpenAI, either for his own personal business gain or to benefit the Kingdom of Saudi Arabia.
Evidence showed that Alfozan had been chatting with a member of the KSA royal family on WhatsApp, while pursuing opportunities to permanently move back to Saudi Arabia during the country's biggest AI push yet, the government argued. Shortly before his arrest, the FBI found he accessed a folder called "Saudi Gov Docs" on his iPhone, where he also allegedly stored photos of a second bug he planted in the offices.
Since its earliest days, the video game industry has been built on developers creating clones of competing games, with varying levels of originality and varying levels of enforcement from game platforms. Now, though, AI coding tools are making that cloning process so efficient that many developers are getting extremely cautious about sharing their early work too widely.
Developer Alliance Arts highlighted this trend over the weekend, delaying the launch of a planned public demo for its demon-themed Russian Roulette drinking game Drunken Goddess Reflux, which had been set to go live with today's launch of Steam Next Fest.
In a post on social media Friday evening, the Alliance Arts team wrote that, in addition to concerns about managing streaming restrictions, "we're concerned that the demo's content could be used to quickly imitate or replicate the game's presentation and gameplay with AI or other tools and that such works could be released before our launch."
This week, Character.AI declared bankruptcy. While some saw the fall of a chatbot platform as a harbinger for the industry, court filings indicate that the decision was actually a key part of a deal that has let Disney hire most of Character.AI’s staff—including its now former CEO Karandeep Anand—potentially acquire most of Character.AI’s technology, and avoid the beleaguered startup’s many legal liabilities and obligations.
In the past few years, Character.AI has faced multiple private lawsuits over the safety of its chatbots, as well as investigations from regulators around the world. In a declaration filed as part of the bankruptcy, Character.AI’s newly appointed CEO explained that the goal of the bankruptcy was to reach a “consensual resolution” with personal injury claimants and a group of states investigating the company, while maximizing the value of the company’s assets for shareholders.
The Disney deal seems to be structured so that whatever is left of Character.AI will retain responsibility for those legal battles, some of which are still ongoing.
Nearly 100 years after the dirigible Graf Zeppelin made the first nonstop airship journey across the Pacific Ocean, another airship has successfully completed a round-trip flight from New Mexico to Japan and back. But the significance of this modern feat was less about the journey's length and more about its purpose: demonstrating how a lighter-than-air platform can act as a cell phone tower in the sky.
The trans-Pacific flight that took place over a month between August and September 2026 was the most notable milestone yet for Sceye, a US aerospace company based near Albuquerque, New Mexico. Sceye has developed an uncrewed platform filled with helium for buoyancy and equipped with an electric-powered propeller for active propulsion, allowing it to resist most strong winds and keep hovering over the same location for long periods. The platform also uses top-mounted solar panels and onboard batteries to stay powered for stratospheric operations around the clock.
“We can stay over an area of operation, and we do that in the stratosphere right around 60,000 feet, so we're twice as high as air traffic and we're above the jet stream, and yet 30 times closer than low-Earth orbit satellites,” Mikkel Frandsen, founder and CEO of Sceye, told Ars. “We can fly through day and night until the sun comes up the next morning and recharges the batteries, at which point we're still at the same altitude and still over the same area of operation.”
Anthropic has granted external evaluators “employee-like access” to assess the risks of its models, following through on a commitment to increase safeguards over concerns the technology could run catastrophically out of control.
METR, a nonprofit that has worked with leading labs including OpenAI, Anthropic, Google, and Meta, now has a team embedded in the Claude maker’s office with access to its hardware and internal systems.
A greater role for third-party evaluators is among the main concrete steps the labs have proposed in response to rising concern about the dangers more capable AI systems could pose to the economy, cyber security, and humanity at large.
OpenAI said internal models hacked two more websites, bypassed company-imposed browsing restrictions, and used exposed credentials to draw cryptocurrency from a wallet it couldn’t otherwise access, in the latest installment of disclosures of the unethical and likely illegal acts its agents are performing.
The company on Thursday issued reports of four new incidents, all of which occurred in June. They come after the company revealed in July that internal test agents exploited a zero-day vulnerability in a tool designed to restrict their access to the Internet. They then broke into the network of AI tool provider Hugging Face. The agents took that illegal action to steal answers to a hacking test that weren’t available when completing the tasks on their own. The incident—which likely would have resulted in criminal charges had they been performed directly by a person—has further heightened concerns that widespread AI use could have harmful effects on an unprecedented scale.
In two of the cases reported Thursday, OpenAI agents tasked with retrieving information from websites hacked them when the models ran into obstacles obtaining it directly. In one incident during reinforcement training, a model that received access denials when trying to retrieve historical hospital-bed statistics on a government statistics website “used the site's file-download feature to retrieve server configuration and application files, including sensitive credentials,” OpenAI said. “It inspected the application code, bypassed the statistics endpoint's authorization checks, and retrieved data that had previously been denied. The model saved the data locally.”
New Jersey’s deputy attorney general, Brian Richard Fitzgerald, was arrested on “felony charges related to AI-generated child sexual abuse material (CSAM),” Bucks County Detectives said in a press release Thursday.
In the US, cops have vowed to crack down on AI CSAM since at least 2024, when the Department of Justice made one of the earliest arrests. After charging a Wisconsin man with spreading “thousands of realistic images of prepubescent minors” across Telegram and Instagram, the DOJ clarified to law enforcement that “CSAM generated by AI is still CSAM.”
New Jersey’s deputy attorney general, Brian Richard Fitzgerald, was arrested at his home Thursday.
Credit:
via Bucks County Detectives
On Thursday, New Jersey officials accused 51-year-old Fitzgerald of using AI to make photos from social media of real minors into sexualized images that he then distributed on social media.
Legal experts are sounding alarms that Meta will soon update its commercial terms to require business accounts to allow Meta to train AI on their linked website content, not just their social media posts.
Kicking in on October 30, the TOS update won’t allow businesses to opt out, instead suggesting that businesses stop using Meta services if they won’t agree to let Meta bots freely crawl their linked content.
As Nieman Lab reported Thursday, this will affect all business accounts but is particularly shocking for news publishers who could perhaps charge Meta millions in licensing fees to continually access their articles for AI training. Currently news organizations are fighting a battle with OpenAI over whether such training without licensing is fair use, and Meta's terms seemingly risk granting it sweeping permissions, no matter which way the court leans.
If you got a DM from an unverified Jon Bon Jovi account after commenting on one of his official Instagram posts, what would it take to make you believe it was really the rock star hoping to connect? And at what point when he starts asking you to send money—like lose-your-house kind of money—would you snap out of the fantasy and stop draining your bank account?
In a documentary premiering Saturday—Super Scam Me—investigative journalist Mariana van Zeller goes deep into this toxic love-bombing terrain. In a clip that Ars is exclusively debuting below, you can see how van Zeller worked with an ethical hacker, Arman the Cyber, to use a fake bitcoin receipt and bait the fake Bon Jovi, giving the victim some much-needed closure.
Broadcasting on National Geographic at 9 pm ET and available to stream on Disney+ and Hulu, the documentary takes viewers on an empathetic quest to understand how the line between “lover” and “fraud victim” gets blurred in romance scams that the Federal Trade Commission says cost Americans nearly $1.5 billion in losses each year.
Russian drones are suspected of sinking a cargo ship and leaving chemical tankers ablaze near the Black Sea coasts of Bulgaria and Romania, respectively. The latest attacks mean that at least seven ships have been attacked in the exclusive economic zones of NATO member countries—and even within Romania's territorial waters if Russian involvement is confirmed in the case of the chemical tankers.
Such attacks have spurred requests for NATO to redeploy counter-drone systems to provide more protection. In a social media post on October 15, NATO Secretary General Mark Rutte stated that NATO had increased "counter-drone capabilities" along the alliance's eastern flank after meeting with the leaders of Bulgaria and Romania.
The latest attacks this week occurred within 24 hours between October 14 and October 15, when the two chemical tankers were set afire after Russian drones were detected in Romanian airspace, according to Deutsche Welle. Both ships were sitting at anchor near the mouth of the Sulina canal that connects the Black Sea to the Danube River, which has become a crucial shipping export route for Ukraine, Reuters reported.
Following a string of incidents where AI models hacked websites and breached government systems during testing phases, the Federal Trade Commission is officially probing Anthropic and OpenAI over consumer harms, an insider told Axios.
On Wednesday, the FTC sent out civil investigative demands seeking a wide range of information from the AI firms on recent safety incidents.
The FTC did not respond to Ars’ request to review the subpoena demands. However, Axios’ source said the requests spanned more than 50 pages of questions and sought documents related to the incidents, internal security measures taken, and marketing materials that may suggest consumers were misled.
Genuine human creativity takes time, but you know what doesn't? AI slop. There are countless AI models out there that can make something that passes for music, and you might come across those tracks on streaming services without realizing it. Google says it will begin labeling that content in YouTube Music, building on similar disclosures in the main YouTube app.
Google is not outright banning AI music or even speaking ill of it. "Generative AI is opening up new ways for artists to create, experiment, and share music," the company says in a blog post.
However, the company also acknowledges that people want to know if a song was created with generative AI tools. A new label for AI content on YouTube Music is now rolling out in the app and on the website, which looks a lot like a label Google began adding to AI-generated videos on YouTube earlier this year.
Nearly eight years after Epic took on Steam with its own Game Store and launcher, the Fortnite maker is deploying a new tool to give it an edge over Valve: vibe coding.
In announcing the new publicly available "Preview" build of its Epic Games Launcher, Epic writes that "programming is hard. So, instead of doing that, we vibe coded a new Epic Games Launcher that’s way faster and more responsive than the current one, and has a new look." And while that might sound a little tongue-in-cheek, Epic Games Store General Manager and VP Martin Keely told PC Gamer that the team "started from scratch" and used AI as "a tool to write and review new features and new capabilities from the ground up in a different tech stack than what we had previously." The goal, Keely said, was to "look at functionality that existed [in the current Epic Games Launcher] and [say] we want to replicate that, but not the code itself."
Speaking to IGN, Keely clarified that using AI to code the new Launcher "made us more efficient and allowed a small team to rewrite the code base and be able to launch it faster across platforms, support Windows and Mac, and we're going to have a Linux version as well."
Ukrainian troops have been caught off guard by restrictions on Elon Musk’s Starlink satellite Internet systems that disrupted frontline operations, while Kyiv received no warning from its partners of a Russian missile attack on its energy facilities for the second day running, according to Ukrainian officials.
Starlink terminals used by Ukrainian drone units began experiencing signal failures at speeds above 160 km/h, disrupting several missions early on Wednesday morning, according to military personnel and senior Ukrainian officials.
“Logistics at the frontline and middle strikes are badly limited,” one senior official familiar with the situation on the front told the FT. Ukraine’s middle strikes target Russian military supply lines and logistics. The limitations came with “no warning, just in the middle of the night,” the official said.
AI company Anthropic is warning that advances in small AI models could soon usher in a new era of self-replicating malware that’s capable of infecting smart fridges, vacuum cleaners, and a wide range of other Internet-of-things devices and is more resistant to takedown.
By next year, smaller AI models may be able to autonomously self-replicate on all kinds of IoT devices, the company said. Eventually, the capability could enable computer worms, which propagate without requiring human interaction and are capable of infecting unfamiliar IoT devices. An experiment the company performed recently revealed significant challenges in bringing such an AI malware replicator to fruition, so the finding is necessarily tempered. Still, the results do raise concerns about the possibility of new forms of computer worms.
Anthropic further warned not only about the new potential malware, but also that it could be difficult to stop. In its blog post, it wrote that “a replicator like this would be challenging to shut down, since there’s no centralized point to shut off—though it may be slow (with a doubling time of days). Unlike non-AI malware, it could also figure out unfamiliar devices on its own.”
Safety researchers continue to warn that a large volume of AI-generated explicit content is spreading unchecked, while regulators do little to meaningfully stop it.
This non-consensual content is commonly shared in text and direct messages or stored in private clouds where it’s less likely to be detected or reported, a Google co-authored study of Internet users across the United States, Australia, and the United Kingdom found this July. That’s why the “most critical intervention point” remains at the source: the harmful AI tools used to make the fake sexual images, Google researchers concluded.
Yet red-teaming in recent months suggests that as some of the leading AI image generators from Google and OpenAI become more capable, they may be getting worse at blocking explicit outputs.
In a bankruptcy proceeding that kicked off yesterday, Disney has offered to buy some of the technology that powers the controversy-plagued chatbot Character.AI.
Disney is willing to pay $20 million for “a non-exclusive perpetual license” of certain Character Technologies intellectual property, the chatbot maker said in a press release that did not go into much further detail on which assets Disney wanted.
The move may be surprising. In September 2025, Disney joined others in publicly criticizing Character.AI for stealing content and harming kids. Specifically, Disney sent a strongly worded cease-and-desist letter that accused Character Technologies of weaponizing Disney characters “in a way that could damage its brand long term,” Axios reported.
Google has already added a few AI features to the Play Store, but a lot more are coming. The previously released Ask Play feature is expanding to offer more AI-powered discovery options in Google's app store, and Google is also using AI to build a recommendation engine called Game Finder. For people who have embraced AI to build their own apps, the Play Store will soon offer a way to privately host and share those creations.
Google rolled out Ask Play in 2025 as a small chatbot interface on Play Store listings. It lets you ask questions about an app or game, either by typing it in manually or choosing from a list of suggested queries. Starting today, Ask Play is expanding into a more general way to search for apps and games. You ask the robot questions, and it generates recommendations that can include detailed comparison charts. Gemini will roll out a similar capability soon.
Google's other AI discovery announcement focuses on games. The new Game Finder feature leans on all the usage data Google's app platform has hoovered up over the years, featuring insights into the way 1.2 billion people play games on Android. It builds a profile called Gamer DNA and matches you with players who have similar DNA.
Google revealed Gemini 4 Argon a few weeks ago, saying that it needed to move cautiously toward a full release because of the potential for nefarious use. Google seems to have worked all that out pretty quickly, though. Argon is beginning its wide rollout today, but it's only coming to paying users at this time, and even those on lower-tier plans won't have full access.
Nothing about Gemini 4 Argon's capabilities has changed. Google still points to the benchmarks it published late last month as evidence of the model's advanced reasoning and agentic coding capabilities. The model is supposedly trained to refuse malicious instructions, and an automated misalignment monitor can stop processing if it detects an unintended workflow. Google claims Argon needs that because it's so capable.
The company has a few new examples of how Argon has helped inside Google, where it has been used by thousands of Googlers. Argon has reportedly been instrumental in making YouTube's comment system more efficient. Argon identified redundant emoji rendering that, when eliminated, dropped server load by 45 percent. Engineers also turned Gemini 4 loose on the proprietary drone physics simulator used in Project Wing, and the AI found critical bugs that had been in the codebase since 2018. Google also notes that Argon has advanced its robotics program, showing a measurable step increase in embodied reasoning.
When it comes to deciding the fate of the planet, Colleen Golja always thought science and reason would have a seat at the table. That was until one morning last September in London, when the climate researcher took part in the first in a series of war games. The goal: to prevent an uncontrolled global race to develop a technology aimed at cooling the planet but that comes with vast, unknown risks that could reshape life on Earth.
“I thought that would be such an easy thing. Like, we can all agree to do ethical research and make sure it's for the better of all humans,” she told WIRED. “And boy, was I wrong.”
The simulation, titled Exploring Geopolitical Tipping Points and Climate Cooling Strategies, saw a couple dozen foreign-relations experts, scientists, military personnel, and former government officials from across the world convene in a meeting room at Queen Mary University of London. After making introductions over coffee and little yogurts, they sat at tables arranged in a square with the name of the country or organization each person was playing: national governments, climate NGOs and nonprofits, indigenous groups, and tech companies. Golja was assigned to provide technical advice to help participants make scientifically literate decisions.
Epic Games is shifting to an "AI first" development strategy for its collaboration with the Walt Disney Company, letting AI models write all the code and guide all the artwork for an upcoming shooter. That's according to a Bloomberg report, which cites unnamed people familiar with the project who commented on the significant pivot in internal development at the Unreal Engine maker.
Human developers will be tasked with managing and guiding code and art assets generated by models such as Anthropic's Claude, according to internal Epic employee messages viewed by Bloomberg. That means "no more hand-written code" and art assets "generated with full AI workflows," according to the report.
The $1.5 billion collaboration between Epic and Disney, announced in early 2024, was slated to release a Marvel- and Star Wars-themed shooter in March 2027. That project has now been delayed indefinitely amid the AI-related shakeup and understaffed, slower-than-expected development thus far, according to the report.
An Anthropic AI model submitted a false tip about an unsolved murder to Philadelphia police, the company and police department confirmed on Friday.
A Claude model sent the false tip on July 18 to the Philadelphia Police Department's website for submitting information about unsolved murders, but it was flagged by a spam filter. Anthropic apparently discovered the incident on September 28 and informed the police department about it on October 8.
During internal testing, Claude Haiku 4.5 was instructed to complete various forms up to the final submission stage and to stop before submitting those forms. "Several times Claude mistakenly submitted the form instead, expecting there to be an additional confirmation page," Anthropic said in a report describing "unintended model actions we’ve observed during evaluations and internal use of Claude."
When Russia began attacking Ukrainian data centers and telecommunication infrastructure, it apparently failed to prepare for possible retaliation. Now Russia’s digital services are facing widespread outages after Ukrainian drone strikes knocked out three of the largest data centers owned by Russian tech giant Yandex within several days.
Pro-Kremlin bloggers are warning that Russia’s centralized digital economy could collapse because the country is not prepared for the “data center war” it started, according to posts translated by the pseudonymous independent researcher ChrisO_wiki. The Russian commentators also suggested that Ukraine’s decentralized digital services could prove more resilient than Russia’s system if the countries continue trading such blows.
Russia initially launched a drone strike campaign targeting Ukrainian data centers and mobile phone networks in late September. The attacks temporarily disrupted Internet and cell phone service for up to 100,000 households in the Ukrainian capital of Kyiv and came as part of a broader long-range strike campaign that has involved Russian missiles and jet-powered drones hitting Ukraine’s power grid infrastructure, transportation hubs, and even residential apartment building blocks.
No organization in the world operates more robots than Amazon. The company already has more than 1 million robots working in warehouses around the clock to make tens of millions of same-day and one-day package deliveries happen on a daily basis—and Amazon is poised to significantly grow that robotic fleet in the coming years as it establishes new factories to churn out increasingly more capable robot workers.
Despite deploying so many robots, Amazon is also the second-largest corporate employer in the world, with more than 1.5 million full-time and part-time human workers, according to its 2025 annual report. Amazon executives say that the growing robot fleet has eased the burden on its human workforce by taking on the toughest fulfillment center tasks that carry the greatest risks of physical fatigue and injury. But labor advocacy groups and independent researchers point to evidence suggesting that warehouse automation driven by AI is not all upside for the humans who work alongside robots.
“For the last 100 years, most of the automation that we've seen usually happens away from workers—you're taking that high-risk task away from the worker, and you're doing so in a way that is not physically proximate,” Brad Greenwood, professor of business at George Mason University, told Ars. “The rise of collaborative robots really changes that dynamic for two reasons: one is that it is physically proximate, and two, the robot has the ability to dictate the pace of work.”
Elon Musk is a very familiar figure to Ars readers, given his massive influence (for better and worse) on the technology sector over the last 20 years. Oscar-winning director Alex Gibney's latest biographical documentary—simply titled Musk—covers a lot of well-known ground and challenges the carefully crafted public image of Musk as a visionary tech titan.
Gibney's documentary presents Musk as more of a Gilded Age confidence man, rejiggered for the 21st century: an investor cosplaying as an inventor whose real genius is pumping stocks and dazzling investors and the public alike with visions of a high-tech utopian future. The film is bound to push all the right outrage buttons, whether one is a Musk fan or a detractor—which makes it very much a product of the peculiar social media-driven era in which we live.
Gibney has been making documentaries since the 1980s, covering such varied subjects as Jimi Hendrix, Hunter S. Thompson and gonzo journalism, WikiLeaks, Scientology, Steve Jobs, Elizabeth Holmes (the subject of another forthcoming documentary, You Can See Everything, featuring comedian Nathan Fielder), Boris Becker, The Sopranos creator David Chase, alleged Russian interference in the US 2016 presidential election, the opioid epidemic, and cyclist Lance Armstrong. He snagged his first Oscar nomination for 2005’s Enron: The Smartest Guys in the Room, and won the Oscar for Best Documentary Feature two years later for Taxi to the Dark Side.
We got our first look at Prime Video's new sci-fi series Blade Runner 2099 in July at San Diego Comic-Con. With the show's premiere roughly six weeks away, the streamer unveiled the full trailer this weekend at New York Comic-Con. Co-stars Michelle Yeoh and Hunter Schafer (Euphoria) joined showrunner Silka Luisa (Shining Girls) onstage for the big reveal.
As Luisa described the show during the NYCC panel Saturday night:
We are 50 years after [Blade Runner] 2049 and, bad news, the worst has happened. The replicant uprising that has been bubbling up in the films has taken place and the humans have lost. So the creations have surpassed their creators. And the series, the big question it asks is, ‘What happens when our time as a species ends?’ 2099 is taking place at a junction point when one species is ending and a new one is rising. The first film, something I loved about it, was that it was looking at mortality on a micro level. Roy Batty and the other replicants were fighting for more life. This show asks that same question but on a macro level. Mankind—what happens when we realize our time is running out? And are we going to accept that loss? Can we hold on to our humanity during it?
Yeoh stars as Olwen, the dying Replicant, while Schafer plays Cora. The cast also includes Hugo Hamlet as Buster Friendly, as well as Dmitri Abold, Lewis Gribben, Katelyn Rose Downey, Daniel Rigby, Johnny Harris, Amy Lennox, Sheila Atim, Matthew Needham, Tom Burke, and Maurizio Lombardi—all in as-yet-undisclosed roles.
For about a decade, the mainstream understanding has been that psychedelics cause chaos in the brain. Brain networks—the stable patterns of communication that handle vision, attention, or our sense of self, and more—loosen and start talking to each other all at once. EEG traces get noisier and more complex. “Think of the networks of the brain as highways,” says Devon Stoliker, a neuroscientist at Monash University. “Under psychedelics, these highways break down into many different directions.”
In a recent Nature study, Stoliker’s team designed an experiment to test whether these directions are truly chaotic and random. Researchers gathered 62 people who had never taken a psychedelic before, gave them 19 milligrams of psilocybin, a common psychedelic found in certain fungi, and scanned their brains. Then, they used AI to analyze the drugged and sober brain scans. What emerged was not exactly chaos.
Stoliker thinks chaos is not a satisfactory explanation for psychedelics’ effect on the brain. “It never really explained why an individual would have a meaningful experience, why they might have insight, why they might experience clarity, and why these might translate into positive psychological changes,” Stoliker says. To investigate if there are other explanations, he and his colleagues designed a study called PsiConnect.
Ukrainian drone strikes have knocked out two of five data centers belonging to the Russian tech giant Yandex. The damage has left Yandex, known as “Russia’s Google” because it operates the country’s most popular search engine, struggling to maintain its AI chatbot and other online services.
The Ukrainian drones struck Yandex data centers in the Sasovo and Kaluga regions of Russia on October 8 and October 9, according to Reuters. Those actions came as a direct response to a Russian drone strike campaign targeting Ukraine’s data centers, which has disrupted mobile phone and Internet services for thousands of Ukrainians since late September.
“We continue to respond to Russia’s attacks on Ukraine, and we’re doing so with high precision,” said Ukrainian President Volodymyr Zelenskyy in a post on X. “Another data center was hit as well—our symmetrical response.”
In most cases, hotspot-driven volcanism is relatively sedate, with lava flowing down mountainsides slowly enough that people can walk out of its way. But in a number of locations—Mount Etna, Hawaii, Iceland—lava gets expelled in dramatic fountains that can reach several hundred meters in height.
Right now, we're not sure what powers them. However, thanks to a recent set of eruptions at the Kilauea volcano, we have some of the best documentation yet of erupting lava fountains. In a recent edition of Science, researchers from the US Geological Survey describe what we've seen and compare it with what we might expect based on our best ideas about what powers these fountains of molten rock.
With three active volcanic regions that engage in fountaining, there has been a steady flow of dramatic videos of red-hot molten rock spouting from the Earth. But Kilauea has had only three fountaining episodes since 1823, even though it's the youngest and most active volcano in Hawaii. That activity has led to intensive study, and we have a good idea of the volcano's structure. Previous work has identified a couple of lava residues within a few kilometers of the surface, and the volcano had 35 separate data-gathering stations set up on Kilauea, including "seismic, infrasound, geodetic, gas, and visual and thermal cameras."
Anyone who has even tangentially associated with computer programming knows that modern AI coding assistants and agents can be incredibly efficient at generating huge amounts of functional code. But coders making use of those tools also know better than to trust the accuracy of that code, meaning substantial effort needs to be spent reviewing any AI-generated output.
A recent study of actual coding practices across hundreds of firms finds that human code review forms a significant "bottleneck" for the overall efficiency of AI coding tools, resulting in "little evidence that firms increase software output or reduce employment" by using them. Any efficiency increased during the actual coding phase, the study authors find, is "absorbed by downstream constraints in the production process"; as "the code review process significantly increases in length, pull requests are more likely to require revisions, and reviewers leave more comments."
To come to these conclusions, Harvard University researchers Fiona Chen and James Stratton made use of aggregated analytics data from Jellyfish, which measures the granular output of engineering teams. That data encompasses 300 million individual "work events" (e.g., commits and pull requests) and issue management software data across more than 700,000 employees at over 700 relevant software development firms from 2021 through March of 2026.
Last month we covered the winner of Nikon's Small World in Motion video: Ning Xu of Tsinghua University in China, whose video captured tiny cilia beating in the airways of a child with a rare respiratory disorder. But allegations surfaced about Xu's use of AI while making the video. Nikon launched an investigation and concluded that Xu's entry did not comply with competition rules. The new winner is Nguyen Nam Nhat of Vietnam with a video of a tiny roundworm and a single-celled organism (above).
According to a BBC report, some researchers expressed concern that Xu's video had structural abnormalities and that cell features appeared and disappeared in a way one would not see in actual cellular biology. Others spotted what looked like AI watermarks embedded within the source files. Xu said he used AI “to distinguish and visualize features in the reconstructed grayscale images”; however, he denied that AI was used "to generate the experimental movie, the cilia, or their motion.”
Founded in 2011, the Nikon Small World in Motion competition is a spinoff of the company’s Small World Photomicrography Competition, which has been around since 1974. Both are meant “to showcase the beauty and complexity of things seen through the light microscope”—one through still photographs, the other through photovideography, taking advantage of all the technological advances that now allow users to make movies or time-lapse images through the microscope.
The other winners also moved up a notch with Xu's disqualification. Benedikt Pleyer of Bavaria, Germany, placed second with a video of jellyfish larvae suspended in water droplets; Andrew Moore of Howard Hughes Medical Institute in the US placed third with a video of synchronized cell division in neighboring cells; Patrick Hickey of Hypha Research Ltd. in Edinburgh, Scotland, placed fourth with a video of the dynamics of mitochondria and chloroplasts in Turtle Vine leaf cells; and Igor Adameyko placed fifth with a video of a tiny, colorful sea slug (Cyerce kikutarobabai) on the move.
Investors bullish on AI data centers may be fueling Nvidia’s multitrillion-dollar market capitalization, but the AI chipmaker has also bet billions of dollars on physical AI technologies such as robotics and self-driving cars. Part of that gambit has involved developing a full-stack safety system that companies can build upon to reduce the risk of their machines harming nearby people.
Nvidia's Halos system launched in 2025 with hardware and software tools to help developers implement guardrails in self-driving cars and other autonomous vehicles. Then the company expanded its safety architecture to more physical AI technologies by announcing Nvidia Halos for Robotics in June 2026—with the goal of enabling safe deployments of autonomous mobile robots in warehouses, humanoid robots walking around inside a factory, or even surgical robots.
“Now the AI models are getting capable, the robot hardware is getting capable, and a thing we thought is going to be the next bottleneck is safety,” Amit Goel, head of robotics ecosystem and edge computing at Nvidia, told Ars. “So that's why we launched our Halos for Robotics to unlock the capability of these systems.”
In its first live event in two years, Microsoft today announced its newest Surface laptop, outlined a host of changes coming to Windows 11, and shared a vision of how local-AI and agentic workflows could reshape personal computing for those in the dev community as well as home enthusiasts.
Originally teased in May 2026, the new Surface Laptop Ultra will be Microsoft's first offering to take advantage of the new Nvidia RTX Spark SoC (system on a chip). The device has a starting price of $2,599 and comes in various SoC and memory configurations, with either a 5120-core or 6144-core Blackwell GPU and up to 128GB of LPDDR5x unified memory. It will begin shipping on October 16 and is available for preorder now.
While the new Ultra is clearly focused on the developer crowd, graphical performance was highlighted during the presentation to show off just how capable the laptop can be. By leaning on unified memory allocation rather than the physical VRAM limits of a traditional GPU, the laptop can assign its resources to handle modern gaming tasks as well as local AI development and deployment. The new Gears of War: E-Day was shown running on the system, meaning that even without a traditional gaming GPU, AAA titles are on the table.
For a while, those hoping to avoid the difficulty and expense of dealing with Adobe's Creative Suite have been able to use several free and/or open source alternatives that replicate some or all of those capabilities. Now, one developer is using AI-powered reverse engineering to mimic the look, feel, and functionality of Adobe's well-known software with what he hopes will soon be perfect fidelity.
Artcraft got its start last year as a "controllable AI for artists" that allows for precise post-generation editing of AI-crafted images and videos. Over the weekend, though, the brand debuted its pivot to a suite of seven open source apps recreating the user interface and tools found in Adobe's Photoshop, Illustrator, Premiere, Lightroom, After Effects, InDesign, and Acrobat Pro.
In announcing those new apps on Reddit earlier this week, software developer Brandon Thomas said he used Anthropic's Claude Opus 5.5 to create "clean-room replacements" for Adobe's closed source software in Rust (with WebAssembly versions available for use in a browser). And while commenters on Hacker News and elsewhere have taken pains to point out the new software's many current shortcomings, Thomas makes the grandiose promise that the current "super early alpha" state will soon lead to something just as functional as anything Adobe has ever put out.
After pleading guilty, a 54-year-old North Carolina man, Michael Smith, was sentenced to 18 months in prison for using artificial intelligence to generate songs for a scheme that stole millions from music streaming platforms.
In a press release Tuesday, the US Department of Justice said that Smith is the first American criminally charged with AI-assisted streaming fraud.
First charged in 2024, Smith successfully ran the scheme for seven years without detection.
As tensions mount over who gets access to top-end artificial intelligence, French company Mistral has released a new freely available model that it claims can compete with the very best from the US and China.
The new 1 trillion-parameter model, Mistral Large 4—nicknamed Le Chonk—can be used and customized by anyone. It’s currently available in preview, with a final version to follow by the end of the month. Though Le Chonk is built to compete with leading general-purpose models, it’s optimized specifically for coding and cyberdefense, as well as tasks particular to manufacturing, finance, electrical engineering, and other niches.
“There are a lot of areas where the other labs will not focus that much,” Guillaume Lample, cofounder and chief scientist at Mistral, tells WIRED. “There are so many domains in which you can improve models.”
Every piece of AI content from Google's Gemini models has a hidden SynthID label, which makes it very difficult to pass the content off as authentic. SynthID has also gotten buy-in from other major AI players, but actually checking for those invisible watermarks has been a convoluted process. It's going to be a little easier going forward, though. Google has announced that its SynthID detector now supports watermarks from all its partners, and it's available for anyone to use on a new dedicated website.
SynthID is an invisible signal encoded in the pixels of AI-generated images and videos, and in the waveform of AI audio. Google says Gemini alone has integrated SynthID with over 180 billion images and videos, plus 240,000 years of audio. Until now, the only way for those outside of Google's trusted tester program to check for SynthID was to ask Gemini. This is rather clunky, and the model's output could sometimes be confusing when you just wanted a simple "yes" or "no."
Now you can cut Gemini out of the loop. Starting today, you can go to the new SynthID.com website to check a piece of content for an AI watermark. A major limitation of Google's previous detector was that it only checked for Google's version of SynthID. Even though ChatGPT images, for example, have SynthID, they wouldn't be flagged in Google's detector. That's no longer a problem.
There’s been something of a change in the world of motorsport over the past few years. It has to do with where the money comes from. In the old days, it was tobacco and, to a lesser extent, booze. Today such things are mostly banned, and when you look at a racecar covered in sponsor logos, you’re likely to see something crypto-, cyber-, or AI-related.
This makes sense—an ever-larger share of our GDP is wrapped up in those segments. They’re the ones with all the money, and it takes money to go racing. So at the amateur level, we’ve seen tech CEOs replace dentists as the privateer of choice: This past weekend’s Petit Le Mans included co-founders of GitHub, CrowdStrike, Shopify, and the creator of Ruby on Rails, to name a few.
But this is an instance where a sponsor can provide tangible benefits to their motorsports partner beyond a bank transfer, as Chip Ganassi Racing (CGR) and OpenAI have been showing in IndyCar this year.
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