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.

Last month, the U.S. House passed the AM Radio for Every Vehicle Act, reports the Chicago Sun-Times. They call it "a bipartisan effort to require AM radio in new vehicles," adding that the bill now "awaits action in the Senate, where a companion measure has already garnered support, according to public records." Broadcasters said AM radio remains a critical source of information, offering news and weather alerts, particularly when cell networks and internet service are disrupted or unreliable... "AM radio — all radio — has always been about connection, and in Chicago, especially, the connection is incredibly strong," Mary Sandberg Boyle, vice president and general manager of WGN-AM 720, said. "You don't need a subscription. You don't need a data plan or an app. You turn on the radio, and it's there..." Boyle said the accessibility of radio becomes especially important during severe weather and breaking news situations. "That's when local radio is really more important because we have the ability to stay live, pivot our content and what we're covering, and we can access a large amount of audience members very quickly and keep everybody safe," she said. Boyle also serves on the board of directors of the National Association of Broadcasters, which has argued that preserving AM radio access is an access issue rather than a matter of nostalgia.

The legislation emerged after several automakers removed AM radio from certain electric vehicle models, citing interference from electric power systems. Companies including Tesla, Rivian, Volvo and others have either eliminated or limited AM radio in some EVs. The Alliance for Automotive Innovation, which represents most major automakers, has opposed the requirement. In congressional testimony last year, President and CEO John Bozzella argued that "analog AM radio does not contribute to motor vehicle safety" and requiring it as standard equipment "is not necessary to ensure public safety."

Under the bill, the U.S. Department of Transportation would be required to develop regulations ensuring AM radio remains available in new vehicles sold in the U.S. The measure would also bar automakers from charging consumers separately for AM radio access... While public discussion around the legislation has largely focused on emergency alerts and news access, some scholars say preserving AM radio also has implications for media diversity... "I think the media landscape is really overwhelmingly homogenized right now, and AM radio is important in many markets," [said Zachary McDowell, associate professor of communications at the University of Illinois Chicago]. "It's a space that still allows for all sorts of different voices that is still open and accessible."
The article also includes this quote from Rodney Gibbs, executive director of Heartland Signal, which operates a local talk radio station. "Despite the kind of shiny objects that digital media is, AM radio still has a viable and durable audience. It's a daily, unscripted, authentic conversation between the host and the listeners. You don't get that from broadcast television. You don't get that from digital media."

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."

"Free your BIOS today!" urges the web page for GNU Boot, calling it "a 100% free software project aimed at replacing the nonfree boot software (like BIOS or UEFI) of computers with free boot software. GNU Boot is only a distribution: it reuses existing software projects like Coreboot, GRUB, SeaBIOS, etc. So it's not very different from 100% free GNU/Linux distributions like Trisquel or Guix.
Last month the Free Software Foundation announced they'd fiscally sponsor the project: "The BIOS is a delicate but essential part of software freedom for computing today," said Zoë Kooyman, executive director of the FSF. "GNU Boot aims to make sure that we can continue using our computers in freedom. With the way it builds on the work of others to replace UEFI, we know it can remain firm in the free software philosophy and stay vital to digital autonomy and user freedom." Free boot firmware, such as GNU Boot, is responsible for loading the computer's operating system.

The work done by GNU Boot contributors has similarities to work done by GNU/Linux distributions: they package software like Coreboot or GNU GRUB, contribute to the upstream repositories of these projects, and assist them with documentation, among other tasks... When asked about their project joining the FSF's fiscal sponsorship program, co-maintainer Adrien Bourmault stated: "Making this decision with the FSF allows us to focus more on what we do best: writing and debugging code that keeps our machines fully free." Projects whose scope and purpose align with the FSF's mission and further mission-related activities can become fiscally sponsored by joining the FSF's Working Together for Free Software Fund.

Longtime Slashdot reader Geoffrey.landis shares a report from NPR: Google just put a refrigerator-sized satellite into space, part of a research project the company hopes can pave the way for orbiting AI data centers powered by the sun. The prototype satellite has four specialty chips in it called Tensor Processing Units, or TPUs, that Google designed for machine learning and has already deployed in data centers on Earth. The chips will run a version of the company's Gemma AI model for 15 minutes at a time due to heat management constraints, using the open weight model to answer simple queries.

In a blog post, Google said the mission will gauge how the TPUs handle "the physical stress of spaceflight and the radiation and thermal extremes of space." The satellite launched October 1 is a prototype that Travis Beals, senior director and lead of Project Suncatcher, called "a very minimal test" to make sure the chips can run in space. A SpaceX rocket carried it into orbit, and Planet will get it up and running. Beal said Google will then fire up and test the TPUs. The goal is for the mission to be operational for a year.

An anonymous reader quotes a report from Reuters: The state of New Mexico asked a judge on Thursday to order Meta Platforms to pay between $35 billion and $40 billion in penalties after a jury found the company had misled consumers about the privacy of their data on Facebook in a case that came out of the Cambridge Analytica scandal.

Attorneys for New Mexico made the request at a hearing in a lawsuit brought following revelations that the British political consulting firm, which worked on Donald Trump's 2016 presidential campaign, harvested personal data from as many as 87 million Facebook users through a third-party app without their consent. The jury returned its verdict on September 25. Judge Francis Mathew, who oversaw the trial in Santa Fe, will decide how much Meta must pay in financial penalties. [...] State law allows the judge to decide how much to fine Meta per violation, up to $5,000. At the hearing on Thursday, Randi McGinn, a lawyer for New Mexico, said applying the full $5,000 penalty to the number of violations would create too large of a penalty under the US Constitution's protections on due process. But the judge should order a significant payment that will impact the company, McGinn said.

"This court should speak to Meta in the only language it understands, which is money, and the value of its stock price," McGinn said. She said $35 billion to $40 billion, which represents about 20% of the possible penalties that could be awarded under state law from the verdict, would impact the stock price while complying with Meta's right to due process under the Constitution. At the hearing on Thursday, Matt Nicholson, a lawyer for Meta, called the state's request an "astronomical penalty that would obviously violate a host of constitutional provisions." In court filings, Meta urged Mathew to cap the penalties at $3.45 billion. The jury may have said it found Meta's statements misleading, but the evidence shows that Meta does not sell user data and New Mexico did not prove that any consumer had actually been misled, the company said in court filings. The judge said he expected to issue a ruling later this month.

A federal judge has dismissed antitrust lawsuits from Chegg and Penske Media accusing Google of harming publishers by using their content in AI Overviews and other AI search features without compensating them or providing a meaningful opt-out. Ars Technica reports: The lawsuits were filed in 2025, and Google requested a dismissal earlier this year. Chegg, an education and learning platform, claimed in its lawsuit that Google illegally scraped its educational content. This allowed Gemini models to essentially recreate that content and reduce the site's traffic. Penske, which owns publications like Rolling Stone and Variety, filed a similar case that alleged lost traffic. Specifically, the publisher claimed it was unfair that sites indexed for organic search would also have their content harvested for AI answers, with no way to opt out.

These arguments did not sway the judge, who noted that Google's implicit agreement with websites is not legally relevant. "Plaintiffs have pleaded only that they have an 'expectation' that Google will send them search "traffic if they make their content available for free," wrote Mehta. "But an expectation is not an agreement. It is simply how a general search engine works."

Since Google never had a formal arrangement with either Chegg or Penske, antitrust law doesn't apply. And Mehta is aware of the legal issues surrounding search. He also heard the DOJ's long-running search antitrust case against Google, eventually finding that Google violated the law. However, the government didn't get the harsh penalties it wanted in that case.

An anonymous reader quotes a report from Reuters: A growing number of people think social media manipulates and divides people and harms democracy, Pew Research Center said on Thursday, echoing rising concern and tighter scrutiny across the world. Companies running popular social platforms, including Meta, Snap, and TikTok, have faced thousands of lawsuits and paid large sums to settle claims that they harmed users. Governments, meanwhile, have sought foolproof ways to protect their citizens' privacy.

Australia has proposed rules to let users opt out of algorithmically recommended feeds, after becoming the first country to ban social media for children under 16. Pew's latest survey showed that 82% of Australian adults support the government's move to restrict social media access for children. A majority of respondents said social media informs people and gives them a voice in politics, but there was a broad rise in those who now see social media as a "bad thing" compared to 2022, according to the report.

People in wealthier countries, including the US, Canada and UK, are more inclined to believe that social media is harming democracy, versus their counterparts in economies with lower gross domestic product per capita -- such as Ghana, Kenya and Nigeria. The US is among the most skeptical, with 64% of adult respondents saying social media harms democracy. The share of people who consider social media bad for democracy increased in 16 of 26 countries where older data was available. Pew Research said it surveyed more than 45,000 people in 37 countries, while polling an additional 5,511 US adults on American social media use.

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.

Bruce66423 shares a report from The Telegraph: British police forces, including specialist units within the Metropolitan Police, have used Oxygen Forensics software to break into the phones of suspects during live investigations, public documents show. The Virginia-based company behind the software has been accused in the US of having hidden its Russian ownership to avoid sanctions, before it was awarded government contracts. Its American chief executive and a Russian national were arrested last week after a US investigation found the company had sought to hide its ownership in an alleged attempt to avoid sanctions and scrutiny.

[...] By September 2024, the US Secret Service had awarded Oxygen a five-year contract for its software. In December 2022, and in October 2023, Oxygen's chief executive told the US government that Oxygen Forensics had "no immediate or highest-level owner." By September 2024, the US Secret Service had awarded Oxygen a five-year contract for its software. In March, Mr Reiber allegedly told the US government that there had been no Russians involved in developing the software and that no one in Russia had access to the environment in which it was built. US prosecutors say this was false. If convicted, both Mr Reiber and Mr Davydov could face a sentence of 20 years in prison.

Cloudflare has launched two open-weight decision models, Clef and Clef-flash, designed for structured yes/no, multiple-choice, and ranking tasks while also supporting images, video, and up to a 64K context window. Cloudflare says its models outperform TypeSafe's Jev on several benchmarks and can run locally from Hugging Face. The Register reports: For starters, Clef has an LLM backbone. According to Cloudflare, Clef uses specially post-trained, frozen versions of Qwen3.8-27B and Qwen3.5-9B for Clef and Clef-flash, respectively, with the Qwen backbone performing a prefill-only pass during inference. Clef is still fast - faster than Jev, to be fair - and scores choices in parallel after that prefill-only pass. It's not clear what Jev's underlying architecture is, as TypeSafe has kept that a secret.

As for its speed and capability, Clef moves fast. Cloudflare ran it against Jev and some other open decision models using the Jev Decision Index available on Hugging Face, and the company's own ranking suggests Clef is slightly slower than other open models, but more accurate, with Clef-flash just as accurate as most of the others, but far faster.

To be fair to the competition, Cloudflare self-reported its own scores against the benchmark, and they have yet to be reproduced for ranking on the official Decision Index. Cloudflare also ran Clef against TypeSafe's own benchmarks, and claimed it beat Jev in three out of four areas, only losing out on agent trace observability. Even if it were a bit slower or less accurate, Clef has another major leg up on Jev: It's not limited to classifying text -- it can also handle images and video. Additionally, Clef supports a 64k context window. Jev can also handle up to 64k tokens across a request, although its state plus longest individual question is limited to 32k.

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

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

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

HP is taking aim at Apple's MacBook Neo with the new OmniBook 5 14, a $699.99 Windows laptop that starts with an Intel Core 5 315 processor, 8GB of RAM and 256GB of storage but includes an OLED display even on the base model. It's also slightly thinner and lighter than the Neo. The Verge reports: The OmniBook 5 14 can be configured much higher, with up to a Core 7 350 chip, 16GB of RAM, and a 1TB SSD, but all models include a 1080p webcam, dual speakers, HDMI, 3.5mm audio jack, and just two 10Gbps USB-C ports. And while the inclusion of OLED across the range is a major draw to the new OmniBook, the base config only has a passable 1920 x 1200 resolution and 300 nits of max brightness on its non-touch panel. A touchscreen version will be available when the OmniBook 5 launches in October, but a version with a 2560 x 1600 resolution OLED and 400 nits of brightness isn't coming until March 2027.

While the OmniBook 5 14 doesn't seem poised to best the MacBook Neo in raw processing power (based on our other reviews of Wildcat Lake laptops) or screen brightness, it's quite thin, light, and colorful. HP even gave it the nicer, sleeker lid logo usually reserved for pricier models. It starts at just 2.56 pounds, and it's as thin as 0.46 inches / 11.7mm. That's slightly lighter and thinner than a Neo. And I'd expect its Wildcat Lake chips to offer some good-to-great battery life. But we'll have to see how it delivers in actual testing. HP also announced a new ProBook 4 G2iS that is the company's "thinnest business notebook," measuring in at 0.47 inches / 12mm. It'll launch in December with Intel Wildcat Lake chips, 8GB of RAM, and a 256GB SSD, though pricing hasn't been announced.

Google has unveiled Gemini 4 Argon, a new frontier AI model that it says leads or ties rivals on 13 of 18 disclosed benchmarks. The model is initially being released only to trusted cyber defenders and select pre-release testers, with broader availability planned later. VentureBeat reports: Google is not claiming that Gemini 4 Argon wins every benchmark. But across the benchmark table disclosed in the company's embargoed materials, Argon posts the highest score, or ties for the highest score, in more categories than GPT-6 Astra or Claude Opus 5.5. Across the 18 benchmarks Google disclosed, Argon leads outright on 12 and ties for first on one. GPT-6 Astra leads outright on three and ties Argon on one. Claude Opus 5.5 leads outright on two. That makes Argon the leading frontier model by total number of benchmark leads or top scores in Google's comparison set, even though the results show a still-close race in which OpenAI and Anthropic retain advantages in several important technical categories.

[...] The result is a more nuanced claim than "best model across the board." Argon appears to have the broadest top-score profile among the three frontier models in Google's disclosed comparison, but GPT-6 Astra remains ahead in several software, science-terminal and computer-use tasks, while Claude Opus 5.5 remains ahead in terminal-agent and post-training workflows. For enterprise buyers, that means model choice is still workload-dependent, even if Argon now gives Google its strongest claim yet to overall frontier leadership by benchmark count. [...] Argon also expands Google's output ceiling. The company says the model supports an industry-leading 1 million output tokens, up from a previous 64,000-token limit. That is a notable distinction for agentic software engineering, audit, migration and legal-review workloads where the value of a model often depends on how long it can sustain a chain of work before handing control back to a human.

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

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

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

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

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

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

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

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

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

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

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

alternative_right shares a report from Phys.org: Nanoparticles could someday provide a new way to help soldiers fight back against deadly nerve agents on the front lines. In a new study, Northwestern University scientists developed a nanoparticle-based compound that, when mixed into clothing dyes, could limit the impact of chemicals commonly found in pesticides, insecticides and nerve agents. Manufacturers could potentially add the nanoparticles to clothing used by those most at risk, such as farmers' masks and gloves or soldiers' uniforms and tactical gear. Or, if someone is exposed to a potentially deadly chemical, they could spray their clothing with water mixed with the compound to deactivate the chemical before its damaging effects take hold. The study has been published in the journal ACS Nano.

An anonymous reader quotes a report from 404 Media: Some tech workers in San Francisco hooked up ChatGPT to a Toyota Corolla and got it to drive around a parking lot. This may not sound impressive in the age of the self-driving car until you realize that the LLM driving the car was a general purpose chatbot running on a laptop and not the purpose-built driving system based on millions of hours of training data used by Waymo or Tesla.

The people behind the stunt call themselves DrivingBench and they've posted their code, their prompts, and videos of the experiment online. In the experiment, DrivingBench hooked up GPT-6 Astra, Claude Fable 5.1, Grok 4.6, and GPT-5.6 Sol to a Toyota Corolla and gave the LLMs control over the car's steering, accelerator, and brakes. Then they set up a small cone course in a public parking lot and prompted the chatbots to navigate the space.

The goal, they said, was to find out if untrained, off-the-shelf frontier AIs can drive a real car. The results were mixed. Grok, Sol, and Fable only drove a few meters and didn't finish the course. GPT-6 Astra, however, did eventually learn to navigate the course and complete it. But not without a lot of troubleshooting. "It's an interesting demonstration of potential emergent capabilities," said Mahns. "It can fail a turn, and then the next turn, next try, it will be able to do that turn and other turns that it hasn't seen before. Not necessarily saying LLMs are gonna put Waymo out of business or something, just an interesting demonstration of where things are, and things are just moving fast."

"Most people that are familiar with ChatGPT have used it in this white collar, kind of like in the computer, and it's definitely imminent to the point that this capability will start having more impact in the physical world. So I think seeing the sparks of this happening, the shift of this utility coming into the physical world, is also somewhat exciting."

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.