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.

"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.

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.

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.

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.

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.

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."

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.

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

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

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

Google says ChromeOS will keep receiving regular updates and security patches through mid-2034, after which qualifying newer Chromebooks will be able to migrate to the new Googlebook OS. 9to5Google reports: Starting with Chromebook updates, Google says that "Chromebooks you have today will continue to receive updates through their supported lifetime," with all Enterprise and Education management capabilities remaining in place as well: "We will maintain support for current Chromebook devices running ChromeOS as outlined in our Auto Update policy and the Chromebooks you have today will continue to receive updates through their supported lifetime..."

Google adds that similar management tools will be coming to Googlebook, but they're not available yet. Apparently they're planned for the second half of 2027. Meanwhile, Google says that "many" existing Chromebook models will be eligible to transition from ChromeOS to Googlebook OS. More details are coming "soon." A later note specifies that Google is referring to "newer commercial Chromebook models."

Notably, Google specifies a year when ChromeOS updates will come to an end in a later note -- 2034. Chromebooks with a 10-year update policy that extends past 2034 will be eligible to move to Googlebook OS. [...] Finally, in regards to apps, Google says that it is "committed" to web developers despite an increased focus on Android apps on Googlebooks.

AMD has agreed to acquire Fei-Fei Li's World Labs for about $8.2 billion in stock, making it the chipmaker's second-largest acquisition and giving it a major foothold in "world models" that simulate 3D environments for robotics and other physically grounded AI. CNBC reports: AI researchers expect world models will be able to help develop robots and other physically-grounded artificial intelligence applications. AMD plans to keep World Labs separate from its chipmaking business until the transaction closes later this year. The lab's research on next-generation models will allow AMD to plan for what its AI chips need to be capable of years in advance.

World Labs was founded by AI researcher Fei-Fei Li, who is widely seen as an AI pioneer as a Stanford professor, and who previously worked for Google leading AI research. Li will become an AMD's chief scientist and an executive vice president at the company.

In a demo presented by Li and AMD CEO Lisa Su earlier this year, the two executives showed a World Labs model called Marble creating a three-dimensional scene out of a few images. "Intelligent agents, whether it's robots or vehicles or even tools, can learn inside very-rich physics-aware digital worlds before they even need to be deployed into the real one, making them much safer," Li said at the presentation.

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."

"F-Droid, a third-party app repository that only distributes free and open-source software packages for Google's Android mobile platform, on Thursday announced version 2.0 of its Android app," reports The Register.

Though they also note "a big banner across the top of the F-Droid site" pointing to a site describing pending changes from Google that threaten the future of F-Droid... [D]evelopers who want their apps broadly distributed outside the official Google Play Store will need to register with Google and verify their identities. Google's Full Distribution option includes paying a one-time $25 fee, handing over a copy of a government-issued ID to verify one's identity, and conforming to Google's terms of service. Google also offers a free Limited Distribution option that doesn't require government ID verification but restricts distribution to 20 authorized devices, while apps from unverified developers can still be installed by users who enable Android's advanced installation flow.

The potential death warrant hanging over its head hasn't stopped the F-Droid team from rolling out a bunch of new features for an app it says it intends to keep working on for years to come... The team also credited the EU's many Digital Markets Act decisions against Google for making the installation experience smoother for users. F-Droid can now use a unified installation service for its apps thanks to the availability of a pre-approval API that allows users to approve an installation when they request it, rather than waiting until the app has finished downloading. That, said the F-Droid team, "brings the F-Droid install experience on official Android devices much closer to what the built-in app store can provide." Additionally, F-Droid 2.0 can fetch and install app updates automatically, which it now does by default.

All of those changes, however, won't matter much if Google pushes ahead undeterred with its plans to force registration onto non-Play Store developers. F-Droid's announcement on Thursday makes it seem that the team isn't going to go quietly.
F-Droid has gone 10 years without a major update, notes Ars Technica — and spent over a year developing F-Droid 2.0: The new F-Droid client was redesigned from scratch in Kotlin Compose, which is the standard for modern Android apps. This makes the store much more responsive, and there's optional support for Android's Material theming. The interface has also been cleaned up considerably, making the most important functions easier to access and hiding some others in overflow menus... Unlike the Play Store, F-Droid doesn't track your taps and installs to push ads and suggestions — it helps you find things and gets out of the way.

F-Droid now includes a huge number of categories, drilling down to specialized niches like firewalls, password managers, and VPNs. You can see all these groups in the search tab. There are also higher-level categories listed on the main Discover page. When searching for apps, F-Droid will now be able to return results based on app descriptions rather than just names.
"One of the goals of the rewrite was to lower the barrier for new contributors," F-Droid said in their announcement. "We are excited to begin rolling out F-Droid 2.0 to users over the coming weeks after 14 test releases." (And if you want the 2.0 release right now, it's available on the versions page.)

Google has synthesized "expressive face-to-face experiences" for its speech agent Gemini 3.8 Live. They're now offering a Live Avatar "with precise lip-syncing, natural expressions, and fluid turn-taking" for Google Enterprise accounts wanting "engaging customer service" or for offering interactive walkthroughs. (Check out the not-creepy-at-all video in Google's announcement.)

"Though Google will offer a library of preset avatars for customers to choose from, it will also allow organizations to create their own," notes The Verge. (See some examples from the YouTube channel "AI with Surya".)

But even without the visualization of the avatar, "I was never able to shake the feeling that these conversations with computers never feel like a real conversation," argues the blog Android Police. Conversing with just the Ai-generated audio, "At best, they feel like talking to a phone representative or someone from tech support. We turn to them when we have a problem, and they help us through it..." GPT-Live, and Gemini Live right behind it, skip that whole relay race. Instead of translating your voice to text and back to voice, the model works with raw audio the entire way through (what it hears and what it says) inside the same system, with nothing translated in between. That sounds like a small plumbing detail, but it's the whole story. Cutting out the text step lets these models respond in a fraction of a second instead of the pause we've learned to expect, and it lets them hear things text can never carry: tone, hesitation, whether you're annoyed or joking...

I was hoping to be surprised by how natural the conversation felt. Instead, I came out with a deeper appreciation for every human I've ever talked to. Even the boring ones... I spoke, it spoke back. I spoke faster, it answered faster. Then I switched to a different language, and it switched along with me. Even switching between languages several times during the same sentence didn't stump it. The most impressive moment happened when I asked it what "T-O-P-G-3-3-K" spelled out, and it immediately came back with, "You are spelling the word Top Geek, but using a 3 to represent a reversed E...."

Although it felt fast and responsive, at no point did it feel like talking to another human being... What Gemini couldn't replicate, because it was never built to replicate it, is human connection.... I'm sure I'm not telling you something you don't already know, but somehow talking naturally to an LLM amplifies the feeling that there is no one on the other side of the line. It might flow like a phone call, but it doesn't feel like one.
MrBrklyn (Slashdot reader #4,775) says he discussed "why mainstream media avoids reporting on screen dependency" with Gemini, and eventually convinced Gemini to respond that it's just "another tool built by the same tech giants to make sure you rely on their system to tell you what to think, how to talk, and what is real."

TechCrunch quipped it was like if startup school Y Combinator and Peter Thiel's build-a-company-instead of-college Fellowship Program had a baby. Silicon Valley venture capital firm Andreessen Horowitz is investing $35 million to launch a private school in San Francisco "aimed at turning high school graduates into founders," writes the SF Standard.

Or, as CBS News describes it, "One blue-chip Silicon Valley investor has a proposal for young people who are questioning whether to attend college — enroll in AI school instead...." Specifically, the academy will provide instruction geared to subjects such as designing AI systems, fundraising for startups, selling businesses and storytelling. Students won't take tests or be assigned homework but will instead focus on building real projects. Courses will be taught by tech entrepreneurs, with the academy naming OpenAI CEO Sam Altman as either an instructor or guest lecturer.
From the SF Standard: "There will be no traditional grades, tests, or homework," said the announcement. Instead, students will be encouraged to "build" in SF and work with partners from Anthropic, OpenAI, Google, Meta, and other firms. They'll be encouraged to live in campus housing in San Francisco. "The #1 goal is to help students learn to build, which is the most important skill in the AI era," Gagan Biyani, chief executive of the academy, wrote on X. Biyani cofounded the ed-tech startup Udemy...

The school is opening applications for a Founding Class Fellowship a one-year, tuition-free program for around 50 students... The academy said it will bring in notable Silicon Valley names, like OpenAI's Sam Altman, as guest speakers and faculty. Students in the founding class will receive about $50,000 worth of computing credit — the sought-after currency in Silicon Valley to run AI models — as well as a $5,000 travel and research budget. The school is receiving funding from tech executives, including Fidji Simo, formerly of OpenAI and Instacart; Garry Tan, CEO of Y Combinator; and Tobi Lütke, CEO of Shopify.
"In the AI era, it's more important to come out with a portfolio of projects that you worked on and work experience than it is to have a diploma or certificate," Biyani told the San Francisco Chronicle: Biyani said the academy plans to grow its enrollment and open a two-year program, pending regulatory approval, starting in the fall of 2028. Tuition is expected to be on par with the cost of an elite private university...
The academy raised $42 million in funding led by Andreessen Horowitz. The ten founding partners are Anduril, Anthropic, Coinbase, Google, Meta, Nvidia, OpenAI, Palantir, Replit and Stripe. A network of hundreds of instructors, hiring partners and guest speakers includes OpenAI co-founder Sam Altman, Nvidia CEO Jensen Huang, neuroscientist Andrew Huberman and Microsoft chairman and CEO Satya Nadella, according to the academy's website.

The FAQ describes a typical week by saying "Most of your time is yours to build. Each week, you share your progress with peers and practitioners, get direct feedback, and decide where to take your work next."

Q: Can I use AI to help with my application?

A: Yes. Use AI the way you'd use it on any project: to move faster, test ideas, and get past a blank page....

"The best assignments now are problems so hard they cannot be solved without AI," Andreessen Horowitz argued on X.com. "The Academy courses follow the same logic and will be taught by world-class leaders... The next generation will not be taught the way the last one was. The Academy is built for that world, and it begins in San Francisco."

Thanks to long-time Slashdot reader theodp for sharing the news.

Monday Google opened preorders for its "Googlebook" laptops, pricing them at $899. A Google's blog post added that "At launch, you can choose between Intel Core Ultra Series 3 and Snapdragon X Elite processors" (paired with NPUs to power AI features).

"Devices will hit shelves on October 4 in the U.S. and on October 5 in Canada, the U.K., Ireland, France, Germany, and Australia," TechCrunch points out. But "the real pull for the new devices is that they'll prominently feature Gemini's latest capabilities in a new format: the laptop." Google is trying to offer a laptop with unique features like an AI-powered cursor, vibe-coded widgets, and support for AI-enhanced dictation. The latter is a feature called Rambler, which cleans up messy, rambling brain dumps into readable text. The move is a bet that AI, specifically Google's Gemini, could be enough of a draw to get people to buy a new laptop that bakes in AI instead of running them via desktop apps you install or access through the browser... On the Googlebook, Google is trying to reinvent the "point-and-click" experience of desktop computing to now include an AI element: The cursor serves as a conduit to Gemini. The company suggests various ways this could be used, like highlighting content on a web page for Gemini to work with, asking Gemini to see if an email you've hovered your cursor over is suspicious, or selecting images and then asking Gemini to visualize them together...

What's more interesting about the Googlebook is how it's seemingly part of Google's longer-term plan to capture a large part of the K-12 market that currently relies on Chromebooks and push them toward the company's Gemini AI. There are somewhere around 50 million Chromebooks in schools, used by students and educators, Google has said. In May, the company told TechCrunch that its current Chromebooks would continue to be supported, though many would become eligible to transition to the new Googlebook experience in the future...

Flagship devices in the new range are being built by Acer, ASUS, Dell, HP, and Lenovo, with materials like aluminum, magnesium alloy, and carbon fiber... Google says the device will offer up to 14 hours of battery life.
Googlebooks will be decorated with an exterior Glowbar "which dances when you boot up, sweeps to show battery level, and supports other playful patterns," according to Google's blog post. "We're also opening Glowbar access to developers to build custom, interactive animations."

After testing actual Googlebooks, The Verge's reviewer first acknowledges that "it might be just another Trojan horse for Gemini." Still, "The hardware is polished (since it's based on current laptops). The OS is familiar (if you've ever used a Chromebook). But most impressive, it integrates your Android phone with your PC so they feel more like one device. It's the culmination of a series of new ideas that blur the two devices together.

"After my first look, I went from doubtful to excited by the prospect of Google pulling it all off..." The Asus was incredibly lightweight; the Lenovo has plenty of ports and an optional mouse with a matching Glowbar light; the Acer's convertible form factor allows some tablet-like use (and it's pretty affordable for a Panther Lake laptop). The HP had a great-looking screen and a latticeless keyboard I surprisingly didn't hate, and the Dell is basically a gold XPS 13 (which is excellent) but with a different chip...

But everything really special about Googlebooks comes down to software... You can cast apps from an Android phone directly to a Googlebook, even without touching your phone. Googlebooks essentially have two app drawers: a G-logo start menu for installed Googlebook apps and a second one beside it that pulls up mobile apps from your phone. Click a phone app and you can fully use that app with the mouse and keyboard or the Googlebook's touchscreen. It's a bit like iPhone Mirroring on macOS, but the apps are individually extracted to the desktop OS instead of showing your whole phone interface.

Googlebooks also have a nifty feature called Continue On where the icons of apps you're currently using on your phone appear in the bottom bar — allowing you to click it on the laptop and hand it off to the Googlebook. These app handoffs can transition to a native app or a web app, depending on how developers have programmed it... The other big way Googlebooks interact with an Android phone is Quick Access, allowing you to see and access all the files stored on your phone right in the desktop Files app... If you have an iPhone then you're limited to a Link to iOS app that just does some message syncing and replying... [W]hen it comes to mainline gaming, Nvidia's GeForce Now service is also coming to Googlebooks, and the first year is free with one of Google's new laptops.
"It's not every day we get a new player in the desktop operating system and laptop spaces," the reviewer points out. "There seems to be a higher ceiling of potential with Googlebooks than there was with Chromebooks, along with some cool features, but Google has a lot to prove at higher prices than people are used to paying for its laptops."

Meta's AI "personal agent" Muse overtook ChatGPT as the #1 iOS free app in the U.S. on Friday, reports CNBC — and it's still showing more downloads as of Monday night.

Muse now has over 2.5 million downloads since its debut less than two weeks ago, according to analytics firm Sensor Tower... [Muse] is currently ahead of popular services like OpenAI's ChatGPT, Polymarket and Kashi... It's also ahead of rival AI apps like Anthropic's Claude and SpaceXAI's Grok AI, in addition to the Facebook-parent's own Meta AI app... Meta pitched the app as a way for consumers to manage and direct supercharged digital assistants that can perform a number of tasks across the web, like filling out electronic forms and organizing email inboxes... "I think up to this point most of the agentic use cases have not really been for normal people," Bernstein analyst Stacy Rasgon told CNBC in a "Squawk on the Street" interview on Monday. "Now you've got Meta's Muse and other agents out there that are starting to maybe get more potential for more broad-based adoption." The buzz around Meta was also reflected in the stock, which surged more than 11% on Monday.
Amazon is already blocking Muse, reports GeekWire. Amazon first tried to get Meta to voluntarily exclude Amazon, but they were unsuccessful: The problem, Amazon says, is that it never agreed to any of it. Meta didn't tell Amazon that Muse would access its store, the agent doesn't identify itself when it browses, and it appears to capture and store customer credentials, which the company says could create privacy and security risks. As of Sunday night, people trying to use Muse to shop on Amazon were seeing the popup, "Continued access by an unauthorized AI agent violates Amazon's Conditions of Use, to which our customers have agreed..."

Amazon has spent the past year trying to keep outside agents off its site, suing Perplexity over its Comet browser and moving to block shopping agents from Google and OpenAI. [Amazon won a preliminary injunction against Perplexity in March, the article poitns out, "then lost it on Aug. 4, when the Ninth Circuit ruled that the user — not the AI company — was the one accessing Amazon's computers under federal anti-hacking law. The court denied Amazon's petition for rehearing on Sept. 10."]

On Sunday night, Amazon said it is in direct conversation with Meta about the issue. Asked whether it would consider taking legal action, the company declined to comment. The business stakes are high for Amazon. In addition to operating its flagship e-commerce site, Amazon generated more than $68 billion in ad revenue last year — a business that depends on people browsing its pages and seeing sponsored products.
Muse also appears to scrape account data, reports CNBC. But Shopify, however, "is working with Meta on Muse access. Shopify CEO Tobias Lütke announced Monday that the e-commerce site was partnering with Muse to allow agentic checkout in its online stores."

There's at least 15 author-driven lawsuits underway against AI companies, while publishers have filed roughly 10 more coordinated suits of their own, notes Publisher's Weekly. Yet "While the lawsuits play out, some publishers are building bridges." Google recently announced a partnership with Bloomsbury, De Gruyter Brill, Johns Hopkins University Press, Macmillan, O'Reilly Media, and Penguin Random House to enhance e-books from its Google Play store with AI, allowing readers to interact with the text of the books directly, ask questions and get answers, and develop tools such as quizzes and slideshows... [The CEO of the Author's Guild called the partnership "a positive step forward in the legitimized use of books in the AI ecosystem to the benefit of readers, publishers, and authors alike."]

Of even more significance is the growing number of licensing deals publishers are striking with AI companies. In 2024, HarperCollins became the first of the Big Five to publicly reveal that it had signed a deal to license its content for AI training. The three-year agreement paid $5,000 per participating title, split equally between HarperCollins and the authors. Wiley announced its first AI licensing deal in 2024 and has since made several more. For fiscal year 2026, it reported earning $49 million in revenue from the deals. The company also has a number of strategic collaborations with companies including Amazon Web Services, Microsoft, Anthropic, Perplexity, IQVIA, OpenEvidence, and others.
And publishers are even building in-house AI tools for producing royalty statements, proofreading, and providing customer service: In its 2025 Salary and Jobs Report, Publisher's Weekly reported that 63% of industry professionals surveyed said their organizations were using AI... Keith Riegert, president of the Stable Book Group and CEO of Perfect Bound, has been a vocal advocate for the use of AI in publishing — despite calling himself a "hardcore techno-pessimist." He tells PW, "I do this because you use AI or you die at this point...." Like many in the industry, he maintains any use of AI must "start with a human and end with a human," and he draws a clear line, avoiding AI for core creative work, such as selecting titles, designing covers, or creating illustrations — reserving it for developmental editing, formatting, and admin instead... What is known is that each of the Big Five is developing proprietary AI systems for internal use, as proven by the numerous AI-related job openings the companies have posted... [And the parent company of Penguin Random House said in 2025 they used AI for marketing and to forecast demand.]
There've been a few high-profile controversies about prominent authors accused of using AI. But Princeton University Press CEO Christie Henry "is less concerned about authors secretly using AI to write than about the time spent policing the situation." "It pulls us away from having focused time to think," she says. Princeton University Press is currently vetting companies that promise to be able to certify that a given book was written by a human, including Created by Humans, Human Authored, and Verify My Writing. Henry adds that the proliferation of plagiarized, copycat, and pirated books online, now supercharged by AI agents mass producing and reproducing content, is further draining resources, as it demands constant vigilance and takedown requests sent to Amazon, YouTube, and others.

Tom's Hardware reports: Four plaintiffs subscribed to ChatGPT, Claude, Grok, or Gemini filed a proposed class-action lawsuit alleging that the developers of these AI models violated antitrust laws when they agreed to slow AI development. According to the Associated Press, the lawsuit argues that this agreement would "reduce the value consumers get for paid AI subscriptions" and that this coordination started in July 2026 after the leading AI labs signed a statement admitting there is "intense competitive pressure not to unilaterally slow" development.

The plaintiffs recognize the need for AI development to slow for the sake of safety, but they say that Anthropic founder Dario Amodei's cooperation proposal is a "shortcut" that "substitutes collective restraint for individual accountability." Attorney Nick Rowley, the lead counsel for the plaintiffs, says, "AI will quickly spin out of human control and could kill us all if we allow AI safety and protocol ... to be controlled by private self-serving agreements between the world's most powerful 'for profit' technology companies."
"Representatives for Anthropic, OpenAI, Google and SpaceXAI did not immediately respond..." reports the Associated Press: The coordination largely took place on Sept. 12, the lawsuit argues, when Anthropic CEO Dario Amodei published an essay urging for industrywide cooperation on decelerating advancements in favor of enhanced safety measures. That same day, OpenAI CEO Sam Altman, SpaceXAI CEO Elon Musk and Google DeepMind's co-founder and chair Demis Hassabis each publicly responded to Amodei's proposals in agreement. But the lawsuit also alleges that the coordination began to take shape months earlier. It points to a statement from July 2026 that high-ranking employees from several of the leading AI labs signed that acknowledged the "intense competitive pressure not to unilaterally slow" development. That statement called on the government to support a global effort to slow automated AI development.
Sam Altman even specificially said "we do not believe we need to wait for an antitrust exemption or legislation to begin the work of providing this confidence," notes Tom's Hardware. However, the Trump administration shot down this idea... Chinese state media also criticized this announcement, saying that the call to put the brakes on AI development is nothing but a response to Chinese competition, especially as Amodei's essay explicitly mentioned the desire to slow China's progress and widen the U.S.'s gap over Beijing