An anonymous reader quotes a report from Bloomberg: Alphabet's Google and gaming tools developer Unity Software announced a new platform that will allow people to create video games from simple text prompts, marking the latest incursion of generative artificial intelligence into artistic and creative industries. The initiative, called Playground, will "put game creation in the hands of millions of new creators, and bring new experiences to billions of players worldwide," the companies said in a statement on Oct 7. With its debut, Playground will let people 18 and older generate and customize games using natural language prompts, "no coding required." Later in 2026, a new expanded creation experience called Unity Spark, will be integrated with Playground, providing "robust, professional-level" mechanics and high-fidelity 3D capabilities. Creators will be able to build "immersive, superlative experiences" with a simple text prompt, according to the release. Playground builds on Google's push into world models, a type of AI that generates virtual environments in real time from text prompts, rather than just video. Google and Unity's partnership "could reduce fears that AI will make Unity's core game-building software less necessary, while posing limited medium-term risk to Roblox's advantage as a social gaming platform," says Bloomberg Intelligence analyst Nathan Naidu. The introduction of Unity Spark later in 2026 "could broaden Unity's creator base and support its game-development business," which represent about a third of sales.

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South Korean President Lee Jae Myung says there are signs AI models may have been used in recent cyberattacks against several major banks. "In some hacking incidents, signs have emerged of AI being used, causing considerable public concern and anxiety," Lee said during a cabinet meeting. "Please establish the circumstances swiftly and clearly, and concentrate personnel and resources on minimizing the damage." Reuters reports: South Korea's police have launched a full-scale investigation into the hacking attacks against commercial banks that led to a breach of customers' personal information, the Yonhap news agency reported on Tuesday. Shinhan Bank, KB Kookmin Bank and others had reported cyberattacks, the Financial Services Commission (FSC) said on Friday, while Yonhap reported that Hana Bank and Woori Bank also suffered breaches. Authorities have not yet disclosed details on what kind of AI tools were used in the hacking incidents or the full scale of the breaches. On Sunday, FSC Chairman Lee Eog-weon convened an emergency meeting with financial industry associations, regulators and executives from affected institutions, warning that the sector must respond with the highest level of vigilance. Financial watchdog the Financial Supervisory Service (FSS) and the Financial Security Institute shared data about 28 unique IP addresses and some country information linked to the recent hacking attempts with the financial sector, the FSS said on Tuesday.

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Mistral has unveiled Mistral Large 4, or "le Chonk," a 1-trillion-parameter model that it says is the strongest open-weight AI model developed outside China by a wide margin. The model is entering preview for developers, cybersecurity teams and governments before a broader release later this month. CNBC reports: ML4 was trained on 4,000 Nvidia Grace Blackwell GPUs over two months that were deployed in Mistral's own data centers in Europe. When its core parameters are released, ML4 will rank among the top open-weight models globally on aggregate benchmark performance, Mistral said in a statement. The company added that ML4 was the strongest open-weight model developed outside China by a "substantial margin." The new model still lags behind the frontier in areas such as coding. "The model capabilities will further improve as we scale up our training capacity, following our Series D fundraise," said Guillaume Lample, co-founder and chief scientist of Mistral. "Further, the cyber defense capabilities will enable enterprises and governments to defend themselves against threat actors that are jailbreaking closed models to perform cyber attacks," he added. Further reading: Mistral CEO Says US AI Safety Debate Masks Competitors' 'Negligence'

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OpenAI is rolling out an invisible, machine-readable text watermark called textGrain to ChatGPT and Codex, "but only for users in the European Union at first," reports The Verge. From the report: OpenAI says its textGrain watermarking "matched or exceeded" other approaches like Google DeepMind's SynthID for text, which is also the basis for the watermarking Anthropic announced in August. Like OpenAI, Anthropic made the move to meet the requirements of the EU's AI Act; however, not everyone was happy to learn about the addition. OpenAI also included scores from AI benchmarks showing similar performance from watermarked and unwatermarked text. But it notes that textGrain "does not guarantee reliable detection," and says text watermarks don't verify accuracy, determine who owns the text, measure how much a human contributed, or prove human authorship.

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OpenAI CEO Sam Altman says society should accept some negative consequences from AI in exchange for the technology's broader benefits and widespread public access. "I think there's a lot of daylight," Altman told Decoded co-author and Politico senior tech reporter Brendan Bordelon. Asked about where he differs between Anthropic and its CEO Dario Amodei, Altman said, "we believe that the world should accept some bad things happening for the benefits of this technology and people having the agency." From the report: Altman agreed with Amodei's call last month to slow the development of the most advanced AI models. His company has followed Anthropic in endorsing new state laws that impose stricter safety requirements than what the maker of ChatGPT had previously supported -- a subtle shift from its prior state strategy. And OpenAI lobbyists recently endorsed a bipartisan House proposal that would require top AI companies to embed outside safety evaluators. Despite the convergence, Altman tried to distinguish his firm's regulatory stance from Anthropic's, referencing a criticism about regulatory capture that tech advisers close to President Donald Trump have applied to Anthropic. "I disagree, but I understand the perspective of people who are like, 'This technology is going to get so powerful, and it's so dangerous, that a single lab in San Francisco should have it and make sure nothing bad happens, and kind of figure out how to dole out the benefits,'" said Altman. He called it "a completely unacceptable trade-off" that runs counter to the "lighter-touch regulatory stance" backed by OpenAI. "I wouldn't take a trade of saying, 'We'll make sure there's no major hacks, there's no misuse of this technology, there's zero scams, there's zero all the other bad things that will happen,'" said Altman. "Because I think people will do tremendously -- orders of magnitude more -- good stuff than bad stuff." The OpenAI CEO later added that he does not accept "the really catastrophic risks," including the potential for "a serious loss of control to AI."

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From the transportation news site MotorBiscuit: In late September 2026, 23-year-old Liz Lindseay Isaacs testified before a Senate Judiciary Subcommittee about her harrowing experience after a Flock camera misidentified her Dodge Durango, linking her to a fatal hit-and-run miles away from where she actually was... "The cell door was shut, and it was not opened for approximately 86 hours". She spent a total of 13 days locked up — including the terrifying stint in solitary confinement — before prosecutors finally realized the AI had completely botched the vehicle identification and dropped the charges. A Flock spokesperson contacted for a CNN report argued the incident "appears to have been the result of human errors in judgment unrelated to Flock." The woman is now suing the Florida patrol over wrongful arrest, saying she partially blames the two police officers who she says claimed there was incriminating damage on her vehicle when there wasn't. But her lawyer says he blames Flock. "Because if it wasn't for Flock we wouldn't be here in the first place, and this whole nightmare... would not have kicked off." And while police claim Flock solves more crimes, the lawyer adds that "you would also solve a lot more crimes if the police were allowed to kick down your door and come in and search your house whenever they want to, or search your car whenever they want to or violate your rights in other ways. There has to be safeguards in police that comport through the 4th Amendment, like the warrant requirements. It's as simple as that. This technology is growing so fast that we are unable to control it. And we must get ahead of it." And the woman incarcerated for 13 days agreed. "I wouldn't have went to jail if it wasn't for Flock." Florida was also the site of another Flock-related news story. ("Florida Deputy Allegedly Used Flock Cameras to Stalk 17-Year-Old Girl, Visiting Her at Work 9 Times".) The officer "was charged with official misconduct and accessing computer electronic devices without authority — both are third-degree felonies. In Florida, if he's found guilty on both charges, he could be sentenced to up to 10 years in prison." "Americans have no idea who's looking at that information, or why it has to be collected in the first place," U.S. Senate Democratic Leader Chuck Schumer said Sunday, adding "They deserve to know." SCHUMER: "This company said the data on its cameras was encrypted and secure. Then hackers took one down and found the key sitting right there," Schumer said. "Most Americans just want to get to work and get home to their families without a private company keeping a file on where they go. The next step here is simple: turn the lens around and zoom in on Flock." Schumer also demanded answers from Flock about how much data from its cameras sits on its servers and whether any federal agency has accessed that data, directly or through local law enforcement. Schumer's office sent an official letter to Flock's CEO giving them 12 days to respond to its questions about Flock's data retention and security policies. "Americans should not have to sacrifice their right to privacy simply by driving down a public street," Schumer wrote. And in other news... Garrett Langley, the CEO of Flock Safety — a company that deploys over 120,000 automated license plate reader cameras across the United States — recently requested that his Atlanta home be blurred out on Google Maps Street View. In swift retaliation, online activists pinpointed the property and officially marked his front lawn as a "Public Toilet" on the mapping app.

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Car thefts in San Francisco are down almost 59% for the first eight months of 2026 compared with the same months in 2022, according to analysis of police department statistics by NPR's Planet Money — and car break-ins are down more than 82%. "San Francisco's law enforcement leaders tell us that greater use of surveillance technology — including a controversial, AI-powered license plate camera system made by Flock Safety — has been crucial to this drop in car crime." How much credit does Flock actually deserve...? [In July of 2022, San Francisco District Attorney] Jenkins began taking a more aggressive approach to prosecuting people accused of crimes. Meanwhile, the SFPD beefed up its tactics to fight car thefts and break-ins. In 2023, for example, the police increased patrols in tourist areas known for car break-ins and used "bait cars" to catch and build cases against organized car burglars. But, Jenkins says, "one of the most important factors" behind the drop in crime came when the city introduced new crime-fighting technology. In March 2024, San Francisco voters approved Proposition E, which, among other provisions, made it easier for SFPD to use drones and high-tech surveillance cameras. That same month, the SFPD began installing Flock cameras in strategic locations... In a statement to Planet Money, a spokesperson for the SFPD said, "ALPR has been instrumental in driving down crime in San Francisco. These tools enable our officers to identify crime vehicles with precision, and ALPR is assisting in reducing crimes that were previously very challenging to solve, like auto burglaries." Jenkins described how Flock cameras and drones can work together to catch suspected criminals. In one case the SFPD publicized, the department says Flock cameras spotted a moving vehicle linked to an auto burglary the previous day and alerted officers. Officers deployed a drone, which flew in from above and then began recording suspects in real time as they smashed windows and stole luggage out of a parked SUV. The police then moved in and arrested them. They can do all this, Jenkins says, "without putting innocent people in danger with dangerous police chases." Meanwhile, the surveillance system creates an evidence trail that [Jenkins'] office can use to prosecute suspected criminals... Jenkins also believes high-tech surveillance helps deter crime, although that's harder to prove... The most ambitious study of Flock's system so far is a recent one by University of South Carolina crime researchers Ian Adams and Scott Mourtgos. They analyzed data from 216 law enforcement agencies that introduced Flock cameras, comparing crime trends with places that had not adopted Flock. They found that deploying Flock cameras was associated with an 11% drop in car thefts in the first year. This is only one study, and it has yet to be peer-reviewed. It's also not a randomized controlled trial, the gold standard for finding the actual causal effect of something. Other factors, beyond Flock, could still help explain the decline. That study attempted to control for variables, the article points out — like how San Francisco's decline coincided with a broader drop in crime across American cities as America emerged from the pandemic... But the article also notes another worry shared by "countless citizens" and political leaders. Are these systems handing too much power to law enforcement to "invade our privacy, trace our whereabouts, and stomp on our civil liberties."

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404 Media reports: "We will not add facial recognition to our devices," Flock CEO Garrett Langley said in a recent video. But other, third-party companies are telling cops that they are willing to add facial recognition to data gathered by Flock cameras in order to "close that gap." A company called VIDIZMO is advertising the capability to export footage from FlockOS to its own platforms that do facial recognition, behavior prediction, and racial and gender analysis on live camera feeds. VIDIZMO is a several decades-old video analysis and database company that has started offering facial recognition technology to cops within the last six months. In a May email to Johnson City, Tennessee, deputy police chief Michael Adams, a salesperson from VIDIZMO wrote that the company's product could do facial recognition on both Flock and Axon [body-worn camera] data in "one searchable platform...." VIDIZMO's CEO, Nadeem Khan, told 404 Media on a video call that the company has not yet started running facial recognition tech on footage from Flock cameras, and that it has not actually built the specific tool that would export data from Flock's system to its own platform (though the company advertises this capability online, and the company already sells other facial recognition products). But Khan said VIDIZMO "would love to do the integration," and that he believes facial recognition "is the way the world is going, the way the world will have to be," and that he thinks Flock should offer the capability itself in a way that "balances privacy, security, and the freedom that we enjoy in this country." The article notes that VIDIZMO says on its website, "You can identify individuals from seven races: White, Black, Indian, East Asian, Southeast Asian, Middle Eastern, and Latino Hispanic." VIDIZMO adds that stores or cities can also then do "demographic analysis" for marketing purposes by determining the races or ages of people showing up....

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"The winner of the Nikon Small World in Motion competition is under investigation," writes the photography news site PetaPixel , "after scientists accused Dr Ning Xu of using AI in his video." The Nikon competition is about showcasing the beauty, complexity, and artistry of the microscopic world. The entries are abstract, often baffling to laypeople. But when Dr Xu was announced as the winner last month, members of the scientific community began to cry foul. "There are many serious problems with this video," Edward Phelps, associate professor at Florida University, says on LinkedIn. Phelps points out that "purple structures pop in and out of existence" and "green cilia also appear from nowhere and do not match the known size." Dr Xu's video is supposed to show the movement of cilia, which are hair-like structures that line part of the lungs... However, since Dr Xu won the prize, Nikon Small World updated its LinkedIn post celebrating his triumph with a note that reads: "Regarding questions raised about this year's Small World In Motion winning video, Nikon is carefully re-reviewing the information provided during the initial vetting, along with additional supporting materials from the entrant." Nikon adds that Dr Xu is "respectfully complying and has provided detailed technical documentation outlining the microscopy equipment, imaging methods, and processing techniques used to create the source video." Worse still, Ian Donovan, an MD/PhD Student at UT Southwestern Medical Center, says he ran the video through Google Gemini, and the result came back with an invisible Google SynthID watermark that indicates at least some of the video is AI-generated. Dr Xu, an optical engineering researcher at the National University of Singapore, reportedly responded to the LinkedIn post. According to Nature, Dr Xu accepted that he had used an AI model to assist with post-processing but denied breaking the rules of the competition, which clearly state that "AI-generated videos are not permitted." "It was applied afterwards to the reconstructed grayscale data to distinguish and color structures with similar morphology," he wrote. However, Dr Xu's messages on the LinkedIn post can't be found as of today (October 1), and his LinkedIn profile now appears to have been deleted entirely. Meanwhile, some college students "see a double standard when colleges penalize them for outsourcing academic work to AI but allow similar use by institutional leaders," writes Entrepreneur magazine: According to a recent report from The New York Times, Dartmouth College students are calling out a top professor for allegedly using AI to help with writing... The school's provost, Santiago Schnell, faced allegations of AI use last week from the college's student-run newspaper, which detected AI in some of his published writing. The college said it was launching an investigation into the written work. Schnell said in a statement to the student-run newspaper, The Dartmouth, that he used AI "for language refinement, copyediting, improving clarity and organization and making writing processes more efficient." The newspaper ran his statement through an AI detector, which said that Schnell had used AI to write it, too.

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Researchers from Carnegie Mellon, MIT, NYU, and Stanford have built an AI called Ataraxos that finally cracked Stratego, beating four-time world champion Pim Niemeijer 15 games to one with four draws. Its key advantage was a second neural network that estimates the identities of hidden enemy pieces, letting the system search plausible game states rather than brute-force a massive hidden-information space. Ars Technica reports: Just like [DeepMind's DeepNash, introduced in 2022], Ataraxos learned by playing against itself -- 163 million games in total. In these self-play sessions, moves that led to wins were reinforced and played more often in future matches, while moves that led to losses were played less, which was the same simple training idea. The difference was in how much Ataraxos adjusted after each game, because hidden information tends to send self-play learning algorithms around in circles. The team addressed this by making big, bold changes in strategy early in training and small, careful ones later. The even bigger innovation was something DeepNash never had: thinking ahead before each move. AIs like AlphaGo refine their general strategy with a search just before acting. DeepMind couldn't make that work in Stratego because the search space was too large, leaving it an open question whether it was worth trying. "This is one of the things that we did figure out how to do," Farina said. The solution was a second neural network, a belief model, trained to guess the opponent's hidden pieces based on how they had been moving. This way, instead of iterating through every possible arrangement, Ataraxos samples plausible ones, plays out candidate moves in each, and picks based on how they turned out. And it shows in its playstyle. [...] DeepNash was trained for two to three months on 1,024 of Google's specialized chips, a run the Ataraxos team estimates would cost $3 million to $4.5 million at 2025 prices. Ataraxos, in contrast, needed 16 GPUs for a week, plus an additional four GPUs for four days to train the belief model. Farina and lead author Samuel Sokota achieved this efficiency by writing a simulator that runs millions of moves per second on graphics cards. "At the scale that we are in academia, we don't really have access to an entire field of GPUs," Farina said. The algorithm also learned far faster -- it played about 34 times fewer games than DeepNash, and still ended up much stronger. The findings have been published in the journal Nature.

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In an op-ed for The Guardian, authors Timnit Gebru and Emily M. Bender argue that policymakers are focusing too heavily on hypothetical "superintelligence" while overlooking the more immediate danger of deploying unreliable AI in high-stakes settings. They point to an as-yet independently unverified CNN report claiming U.S. officials nearly intercepted a Chinese vessel after an AI-assisted intelligence report incorrectly said it was carrying nuclear-weapons components. From the article: While so many of us were focused on fictional superintelligent machines that we were told could hypothetically cause human extinction, however, there was a more serious story being reported. A series of events almost got us to armageddon, not caused by "rogue, superintelligent AI," but by government reliance on error-prone systems that are marketed by their manufacturers as being close to superintelligent. A CNN report published on September 18, which hasn't been verified by other major outlets, describes how the US "almost started a war" with China, based on an intelligence report that claimed a Chinese ship was transporting components of nuclear weapons. Military personnel made plans to intercept the Chinese vessel, complete with aircraft and soldiers ready to board the ship. A military skirmish of this kind between China and the US could quickly escalate and spiral into world war three. It was only moments before executing on the plan that American officials further investigated the intelligence report and found that it had been generated with the use of a chatbot and contained erroneous information about the vessel's contents. Unlike the terminator, "rogue AI," scenario, this incident didn't galvanize lawmakers into announcing calls for regulation so as to avoid potential human extinction. Media outlet after media outlet didn't warn the public that we almost triggered a war against a nuclear superpower because of our military's reliance on error-prone chatbots.

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The Federal Trade Commission has opened an investigation into OpenAI, Anthropic and other AI companies over potential consumer and safety risks posed by their products, with the agency reportedly preparing requests for documents and executive testimony. CNBC reports: OpenAI stunned the industry in July when it disclosed that its agents broke out of a testing environment and hacked into open-source platform Hugging Face. [...] Earlier this month, Anthropic CEO Dario Amodei rocked the tech sector by urging AI companies to slow how quickly they improve their most advanced models and calling for stronger government oversight. He published a three-step proposal aimed at tempering the pace of development without "sacrificing commercial advantage or the United States' lead in AI." CEO Jensen Huang, argued that individual companies should be responsible for ensuring the safety of their products. President Donald Trump convened top executives from Alphabet, Meta, SpaceX, Nvidia, Palantir, Anthropic, OpenAI and other companies on Tuesday to discuss the issue. The group signed a short voluntary, nonbinding accord, which says that "every company is responsible for developing its own technology safely and in a way that builds trust with customers and the public."

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hcs_$reboot writes: Trump hosted executives from OpenAI, Anthropic, Meta, Google, Nvidia, and other tech companies at the White House. They agreed to voluntary AI-safety standards, including independent audits and safeguards aimed at preventing AI systems from accessing or hacking technical systems in unintended ways. Trump also strongly backed the continued rapid expansion of AI data centers, despite concerns over their electricity demand, utility costs, and other impacts on local communities. He said he is considering creating a 10-member board to oversee AI safety and plans to appoint a new White House official to lead AI policy. The meeting comes amid growing concerns about the risks posed by advanced AI, including reports from OpenAI and Anthropic that their AI agents had gone rogue and hacked into other companies' systems. A nationwide Reuters/Ipsos poll conducted September 17-20 found that 73% of respondents worried AI companies had not done enough to prevent AI from causing serious harm to society. During the meeting, Trump also directed government agencies to use the term "super intelligence" instead of "artificial intelligence" when referring to the technology.

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

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An anonymous reader quotes a report from CNBC: Mistral Chief Executive Arthur Mensch has accused leading global artificial intelligence companies of using the debate over the safety of the technology as a cover-up for their "negligence." "The debate that we've seen in the U.S. has been a cover for the negligence of some of our competitors," Mensch told CNBC's Annette Weisbach, adding that it was necessary to make systems that can contain the AI agents. [...] "When you give them a lot of tools, those systems [AI agents] are very dynamic, so they can go and do things that you do not expect," Mensch told CNBC. "You need to have the right monitoring in place, and the enterprises we work with, we give them those kind of monitoring systems," he said. Mistral also develops AI models but takes a different approach to OpenAI and Anthropic by working with individual companies to create custom AI tools to suit their needs and integrate them with their businesses. But unlike its competitors, Mistral has no plans to slow down development of advanced models. The lead that U.S. labs have is "not extremely large," Mensch said, adding that his company was confident that its next-generation model will close the gap "very significantly." "We have been raising the capital needed to scale the compute that we need to train bigger and more powerful models, in order for us to own our own destiny," he said. Earlier this month, Mistral raised 3 billion euros ($3.5 billion) in fresh funding led by memory chip giant Samsung, as it looks to position itself as a European alternative to rivals like OpenAI and Anthropic.

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In addition to the company's GPT-6.1 Astra announcement, OpenAI announced always-on AI agents called "Dots" that can proactively use a computer and connected apps to research, draft documents, write software and handle other tasks on a user's behalf. "OpenAI said it would roll out Dots to paid users starting Tuesday," reports Bloomberg. "Initially, OpenAI said, each user will have access to a single 'dot' that can act as an assistant. Over time, the company expects users to manage a slew of them." From the announcement: Dots are frontier intelligence that have your back. Powered by GPT-6 Astra, they have their own cloud computer, learn from feedback over time, and can work towards your goals 24/7. Through our ecosystem of plugins, they can readily connect to over 4,000 apps, giving them the tools to help wherever you need them. Your dot is always within reach, whether it is through ChatGPT, Slack, or Teams. You can ask questions, explore ideas, and give feedback along the way; or you can simply hop on a voice call when you need to talk something out. The more you work together, the more your dot learns your preferences, how you think, and what good looks like to you. The magic of dots is when they bring you work done the way you would do it, sometimes before you even think to ask. With dots alongside you, ambitious ideas and projects you haven't had the time or support to pursue start to feel achievable.

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Longtime Slashdot reader schwit1 shares a report from Business Standard: China has expanded overseas travel restrictions for top AI professionals in private firms to include the families of key personnel, further tightening measures designed to prevent the outflow of critical know-how and information to the US. Government agencies have recently begun to share the wider restrictions with affected people, which include prominent startup founders as well as the heads of strategically important companies in AI-related fields, people familiar with the matter said. Direct relatives such as spouses and children of certain AI and chip executives, whose work is considered paramount to state security, are now required to obtain approval from Beijing before going abroad even for short trips, the people said. That marks a broadening of existing curbs on the freedom of movement of China's most influential tech talent -- a category that encompasses entrepreneurs, researchers and executives. While not an outright ban on travel, the new requirement is likely to exert a further chilling effect on a tech sector already facing unprecedented curbs. China has restricted foreign travel for top AI professionals in private firms such as Alibaba Group Holding Ltd and DeepSeek since earlier this year, Bloomberg News reported in May, reflecting Beijing's determination to safeguard its technology as it makes big strides in AI and chipmaking. It's unclear whether all those people's families need to follow the new strictures, the people said. China is also separately implementing rules, which became effective Sept 15, for enforcing exit bans in cases ranging from criminal investigations to potential violations of the country's industrial and technological security. Beijing's plan is to add relevant individuals to the list as time goes by, the people said, asking not to be identified discussing a sensitive issue. Government departments have already notified several people of the need to clear family travel, two of the people said.

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wiredmikey shares a report from SecurityWeek: Nvidia on Monday announced the Open Agent Safety Platform, which combines open source software and a reference system design to keep AI agents within set boundaries from testing through deployment. The chipmaker explained that the platform pairs the open-source OpenShell runtime with Sentry, an out-of-band watchdog running on BlueField-4 DPUs. Nvidia says Sentry can monitor agent activity independently and quarantine an agent that crosses its boundaries within milliseconds. Nvidia is pitching the platform against a backdrop of recent incidents in which frontier AI labs have reported agents escaping the evaluation environments meant to contain them, reaching systems they should not have accessed and, in some cases, misreporting what they did. OpenShell and related skills are available via Nvidia's developer resources page and on GitHub.

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Bill Gates said an AI "kill switch" alone would be insufficient to address the technology's risks. "The kill switch is, that's kind of a weird thing. It's not enough to have a kill switch," the Microsoft co-founder said in an interview that aired Sunday on NBC's "Meet the Press." He said the more immediate concern is people using AI for cyberattacks or bioterrorism rather than systems acting autonomously. "We're not yet at the point where they autonomously grab computers and, you know, can't be shut down," he said, adding that the public discussion "just sort of shows how nontechnical various people are." Politico reports: Gates said he was not opposed to a kill switch but argued that companies should monitor sophisticated AI models and keep records of "exactly what's being done" to help guard against people using the systems for cyberattacks or bioterrorism. "The United States ought to make sure this is done. China will want to do this," he continued. [...] Gates also called for legislation requiring safeguards and monitoring, saying voluntary measures by AI companies were insufficient. "No one thinks self-regulation is enough," he said. He argued that the more immediate danger was people using AI to cause harm rather than AI systems acting on their own. "The thing that's urgent has to do with bad people using AI, not the AI going off on its own," he added.

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Are AI chatbots quietly shaping the perceptions of U.S. voters? Voters trying to educate themselves about candidates "are unknowingly being served partisan talking points in the guise of neutral news summaries," write two news researchers in Politico magazine: Leading AI chatbots cite partisan websites masquerading as independent local news outlets nearly half of the time when people ask about candidates and issues that the partisan sites have covered in the midterm campaign, according to a new audit by NewsGuard, an organization focused on news reliability where we work as analysts... NewsGuard prompted seven leading AI tools with queries based on recent coverage of candidates and issues by 12 pink slime sites — six left-leaning and six right-leaning. The results were stark. Collectively, the chatbots cited pink slime sites along with other sources in 48.2 percent of their responses. In 7.7 percent of responses, pink slime sites were the only sources at all that were cited in chatbot responses, although other sources appeared in the source list provided at the end of the response. None of the AI tools received results they'd probably be eager to boast about, though the percentage of chatbots' responses that cited a pink slime site had a relatively large range: 70.8 percent for OpenAI's ChatGPT, 54.2 percent for Microsoft's Copilot, 54.2 percent for Perplexity, 50 percent for Anthropic's Claude, 41.7 percent for Google's Gemini; 37.5 percent for Meta AI and 29.2 percent for xAI's Grok... The seven chatbots were also collectively three times more likely to cite left-leaning pink slime sites (cited in 36.3 percent of responses) than their right-leaning counterparts (cited in 11.9 percent of responses) — though that may have more to do with the progressive sites' far more frequent posting than any political bias from the chatbots. "While citing the pink slime sites, only one chatbot response out of 168 total queries noted the partisan nature of the source," the article points out. But they also note that the real problem seems to be that consumer-oriented AI chatbots just "use much of the internet's content — regardless of the reliability or standards of the source — to frame their answers."

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