Google plans to invest at least $15 billion in AI infrastructure in Finland through 2028, its largest single investment in Europe. The company also signed a 22-year power agreement with Finnish utility Fortum and said it will explore business models that could support new nuclear reactors at Fortum's Loviisa site.

Finland has emerged as a major data-center hub thanks to its available land and power. "I've heard it called the 'Texas of Europe' at industry events," Matti Lajunen, partner of real estate at Finnish law firm Hannes Snellman, told CNBC. "What we're now seeing is weekly new inquiries for market entry into Finland from new players."

Ruth Porat, president and chief investment officer of Alphabet and Google, said in a statement: "Google is proud to deepen our roots in Finland with the company's largest single investment in Europe, building on more than 15 years of sustained investment in Finland. This investment underscores Google's commitment to grow our presence responsibly, pairing the expansion of our technical infrastructure with new energy capacity, grid enhancements, and energy affordability initiatives."

The U.S. Department of Energy has approved a $1.9 billion loan to NextEra Energy to restart Iowa's shuttered Duane Arnold nuclear plant, which Google has backed as a power source for its growing AI infrastructure. "The sizable loan is the second of its kind, suggesting that the Trump administration views revived nuclear power as a key source of electricity for tech companies seeking to power their AI data centers," notes TechCrunch. From the report: James Danly, Deputy Secretary of Energy, said that the Iowa power plant's restart in 2029 will "drive down electricity costs," though he did not explain how. Just 50 megawatts will be set aside for the local power cooperative, NextEra CEO John Ketchum said during an earnings call (PDF) last year. That capacity would cover 18% of Iowa's demand growth since 2021, the year before ChatGPT was released.

Google is reportedly looking to build up to six data centers near the Duane Arnold Energy Center, which hasn't operated since 2020 when an intense rainstorm damaged the power plant. Rather than repair it, NextEra decided to mothball it. At the time, cheap natural gas was flooding the market, making nuclear power economically unappealing. A lot has changed in the last six years, though. After decades of little growth in demand, the sudden rise of AI coupled with broader electrification of the economy meant that utilities and power providers were suddenly scrambling to find new generating sources of electricity. New data centers are expected to nearly triple the sector's electricity demand by 2035.

Google says it will overhaul Search in Europe to comply with the EU's Digital Markets Act, giving more prominence to comparison services like Expedia and Hotels.com while stripping some real-time features from hotel, airline, and restaurant results. "These changes degrade the user experience for Europeans -- boosting online intermediaries at the expense of local businesses, and removing helpful features people rely on every day," said Nick Fox, senior vice-president of knowledge and information at Google. The company claims its past search changes for DMA compliance were tied to a 30% decrease "in free, direct booking traffic to European businesses." Engadget reports: That sanction was the latest salvo between the EU government and a US tech company for infringing on its Digital Markets Act. The debate centers on the DMA requirement that major tech brands "must not treat their own services more favorably in ranking than third-party services."

[...] According to Reuters, Google's revised search results "will highlight one specialized search engine at the top of the page, followed by two others with fewer details. A carousel of hotels, airlines and restaurants, for example, will sit below them with key features such as real-time prices stripped out." Those specialized engines include sites like Expedia or Hotels.com, also known as vertical search services, so European users may soon see those aggregators and comparison sites prioritized more highly than individual businesses' websites in their results.

Reuters noted that "the rankings will be determined by Google's algorithm," meaning the tech company still holds a lot of control over how results are displayed. The EC had given Google 60 days to comply with its rules, but the company has not specified an exact timeline for when European users will start seeing the changes.

Google DeepMind has released AlphaGenome Atlas, a free research database containing AI-generated predictions for the effects of all 9 billion possible single-letter mutations in the human genome. Built from its AlphaGenome model, the atlas is designed to help scientists interpret both protein-coding and harder-to-understand regulatory DNA. Fortune reports: AlphaGenome Atlas, as DeepMind calls the database, is a precomputed catalogue of what each substitution of a single DNA base is likely to do to the machinery that switches genes on and off. Until now researchers had to run such a model one variant at a time or had to test variants in the laboratory, a process that was painstakingly slow. It would have taken many human lifetimes to discover the consequences of all 9 billion possible single-letter mutations. The Atlas promises to make the job of biologists and medical researchers considerably easier, potentially speeding up the understanding of genetic diseases and the hunt for possible cures.

Pushmeet Kohli, DeepMind's vice president for research and head of its AI for science team, told reporters on a briefing call that this was the first time any researcher in the world could reach a comprehensive map of human genetic variation "by simply opening a browser." Kohli also framed the release as helping to complete the unfinished business of the Human Genome Project, which in 2003 succeeded in mapping the entire human DNA sequence. "As the saying goes, we bought the book," he said, "but we did not understand how to read it."

Atlas is available for non-commercial use from today through a website Google DeepMind has set up for it. The company said it would be available for commercial use through a licensing arrangement through Google Cloud "soon." Kohli said that Google DeepMind's sister company,ÂIsomorphic Labs, which is using AI for drug discovery, would have access to Atlas but that it would also require a commercial license for access. He did not specify exactly what the terms would be for commercial licensing. A paper describing the Atlas and how it was created is being released on bioRxiv, a repository for biomedical preprint academic papers.

"A team at Google's research arm used Google Maps to reroute a small portion of drivers in 10 U.S. cities," reports SFGate — including San Francisco and Los Angeles.

"Through their experiment, which was published in the journal Nature Cities in June, the researchers sought to evenly spread traffic down more corridors as the drivers head to similar destinations, in the hopes of reducing congestion." The experiments nudged up vehicle speeds by 2% on average on the congested roads, and shortened travel times by a modest 0.7%. Scientists have long thought that traffic could be eased this way, and this now demonstrates how it could actually work in the real world.

The researchers collected data on weekdays in the 10 cities, which included Seattle, Salt Lake City, Chicago and Atlanta. While they studied a variety of types of roads, from city streets to highways, they found that in cities such as Los Angeles where they targeted highways, their diversions had the biggest effect, with driving speeds in those areas increasing by about 4.6%. Most cities, though, saw a smaller improvement with speeds across them increasing by just 0.5% during peak times. The Google study's findings confirm what other researchers have long suspected, said Michael Manville, a professor of urban planning at UCLA who was not involved in the study. "This is a pretty nice empirical illustration of a longstanding idea," he said. If a clogged traffic artery is on the verge of a long delay, he said, rerouting a small number of vehicles away from the bottleneck produces a "not gigantic but noticeable result...."

As with other traffic interventions, there's a risk that Google's approach to spreading traffic could backfire. This concept, known as "induced demand," also applies to efforts like adding a lane to a critical highway, which temporarily relieves congestion, until traffic rises again. "You can do this, but you cannot be too successful, because if you are too successful, then more people will start driving, and essentially you'll be back to ground zero," [said Alexandre Bayen, a co-author of the study and director of UC Berkeley's Center for Information Technology Research in the Interest of Society]. "That's why when we did the study, we only operated at the margin." The idea is to make minor improvements, enough to matter in the aggregate but not so significant that people notice and start driving more, canceling those improvements...

The Google Research study also considered the potential environmental benefits of its traffic improvements. The paper highlights the carbon dioxide emission reductions resulting from the slightly smoother traffic flow and shortened travel times, which add up to a savings of about 1,000 metric tons annually. That's equivalent to the emissions of about 200 vehicles, a drop in the bucket for cities with millions of cars, the majority of which are still gas guzzlers, even in San Francisco and LA. Bayen acknowledges that while emphasizing the cumulative benefit if such efforts were sustained for a longer time. For Manville, the study is a useful proof of concept. "It is a demonstration that if we managed roads better, air would probably be cleaner," he said.
According to the article, "Google's study might not just be a one-off, and city officials could decide to make use of the Google research findings, Bayen said, such as by trying to improve traffic congestion on a larger scale..."

"Google declined SFGATE's requests for comment on whether the company informed city authorities or rerouted drivers about the study," the article points out.

Last year the writing program at the University of Baltimore used an app that tracks students while they're writing in Google Docs, offering teachers a video playing back revisions "with a scoreboard of all the edits, pastes and minutes spent on it," writes the Washington Post. "Is it surveillance? Yes, I think obviously," says the program's director.

But was there a better way? She is one of a dozen educators around the country who told The Post that they're experimenting with a different approach to student use of generative artificial intelligence this school year. Teachers and professors are throwing out old assignments, installing new policies and protocols, and incorporating AI built for the classroom, rather than feeling forced to choose between returning to pencil and paper or acting like the AI police.

Her new lesson plan even incorporates generative AI in a controlled way to let her evaluate students' critical thinking skills. She created chatbots using BoodleBox, the university's AI vendor, that allow instructors to see both sides of the conversation. For an assignment testing students' ability to make evidence-based arguments, they participate in a simulated school board meeting about banning books. It involves debating chatbots designed by Zeleny with names like the Confrontational Parent. Writing students usually turn in business proposals and research papers. This semester, instructors are starting to ask instead for transcripts of conversations a student had with a chatbot, a handwritten outline of their composition, and a video reflection of how they felt about the work. "In a lot of ways, we have made these assignments harder, but writing should have always had more detailed checkpoints along the way," she said.

"Billionaire Bill Ackman's life was upended this February when his 26-year-old daughter collapsed in her Brooklyn apartment, suffering a brain hemorrhage that would render her unable to move, speak or see," writes the Washingon Post. But then... The hedge fund manager did what any good father would do — at least, any father with vast financial resources and what friends describe as a "Mr. Fix-It" tendency. He sprung into action, getting her topline care at New York City's Mt. Sinai Hospital and consulting a network of well-connected friends all over the world. He helped her access a novel cell therapy that has been gaining traction among longevity enthusiasts, who are seeking ways to prolong human life. And then — motivated by a newfound desire to accelerate scientific research — he vowed to spend more than $400 million to launch an institute dedicated to longevity and brain health... He posted this week that the U.S. Food and Drug Administration, in May, gave his daughter Lucy's medical team a first-time emergency authorization to transplant mitochondria — the energy-producing part of human cells — from her leg muscle to her eyes, in the hopes that the tiny cell powerhouses would facilitate healing in her optic nerves and perhaps even restore her vision.

Ackman's story highlights the increasingly prominent role of the ultra-wealthy in making expensive medical bets on longevity treatments and other novel therapies, altering the direction of research as federal funding for science declines in the second Trump administration. But his saga is a deeply personal one, spurred by his daughter's medical crisis. The focus on longevity by Ackman, who made billions on Wall Street as a hedge fund manager, is aligned with similarly ambitious efforts from some of Silicon Valley's biggest names. OpenAI CEO Sam Altman has backed Retro Biosciences, a start-up whose goal is to add 10 healthy years to the human lifespan through cellular reprogramming. Amazon founder Jeff Bezos is reportedly a funder of Altos Labs, which focuses on cellular rejuvenation and resilience... Billionaire investor Peter Thiel, Google co-founder Sergey Brin and Oracle co-founder Larry Ellison are also deeply invested in life-extension methods and attempts to rewrite the biology of aging...

The therapy given to Ackman's daughter Lucy, known as mitochondrial transplantation, is of great interest not only to people who have suffered injuries, but to longevity-focused scientists who believe that mitochondria may hold promise for reversing some of the effects of aging... In recent years, scientists have discovered that mitochondria have many other functions beyond converting food into energy. They serve as clearinghouses for damaged cells, opening up the possibility that they can help with cell regeneration and healing, said Daria Mochly-Rosen, professor of chemical and systems biology at the Stanford University School of Medicine and co-author of " The Life Machines: How Taking Care of Your Mitochondria Can Transform Your Health."

"I am one of those who believes that focusing on mitochondrial health is a way to address many human diseases, including aging itself," she said. "It's exciting."

ChatGPT, Claude, Grok, and Gemini all suffered significant service disruptions within roughly the same few-hour window Thursday morning. OpenAI and Anthropic reported elevated errors and later restored service, while Grok remained impaired and third-party monitoring indicated a likely Gemini outage despite no public acknowledgment from Google. Ars Technica reports: Other major Internet services, including Amazon Web Services, Microsoft Azure, and Cloudflare, have not reported any major issues as of press time Thursday, though issue reports on DownDetector did spike somewhat for all three this morning.

While the affected frontier models go down occasionally, having all four experience interruptions in the same short period is practically unheard of. Claude reports 99.4 percent uptime for its services over the last 90 days and last reported a similar three-hour "partial outage" on August 24. OpenAI reports 99.63 percent uptime for ChatGPT and 100 percent uptime for ChatGPT Codex in the same period. ChatGPT's so-called "Work Mode" reported an hours-long period of "elevated latency" on August 31.

Google released Gemini 3.8 Flash, its third Flash model in six weeks, claiming it's their best reasoning and coding model yet (topping the DeepSWE leaderboard). Ars Technica reports: Gemini 3.8 Flash comes in two variations. There's the standard Flash, which Google describes as a "workhorse" model that's good for anything from agentic tasks to software development. Then we have Gemini 3.8 Flash Cyber, which runs on the same foundations but has been tuned for vulnerability detection and mitigation.

For developers, Google has the same pitch as it did for the 3.7 Flash release just a couple of weeks ago. API access to the model is available at an "introductory rate" through the end of the year: $0.75 per million input tokens and $3.75 per million output tokens. The regular price will be $1.50 / $7.50, but it's likely there will be new models available long before the price changes. Google probably sees the lower prices as a necessity given that other AI labs have recently dropped token pricing to keep increasingly wary businesses engaged with AI tools.

[...] Gemini 3.8 Flash will be available across the Google ecosystem starting today, but Gemini 3.8 Flash Cyber is currently limited to trusted testers and governments. Like the past Flash release, you'll need a Pro or Ultra subscription to access Gemini 3.8 Flash in the Gemini app, but you can always visit AI Studio if you want to tinker with it for free.

An anonymous reader quotes a report from Wired: Michele Spagnuolo, the Google engineer arrested in May by U.S. authorities for alleged insider trading on Polymarket, is making a new bold bet. On Wednesday, his legal team filed a motion to dismiss the charges against him. Spagnuolo isn't outright denying that he made money using internal information from Google. Instead, his legal team says that the wagers were not financial instruments subject to regulation by the United States' Commodities Exchange Act but rather good old-fashioned international betting that the U.S. has no authority over.

Spagnuolo, who has been placed on leave from Google, is accused of committing commodities fraud, wire fraud, and money laundering. Using the alias "AlphaRaccoon," he allegedly made a series of wagers on Polymarket's flagship platform that resulted in profits totaling over $1.2 million. According to the criminal complaint, "AlphaRaccoon" correctly wagered that the singer D4vd, who gained notoriety for his suspected connection to a grisly killing, would be Google's most-searched person of the year in 2025. (D4vd was later charged with murder; he pleaded not guilty.) [...] Spagnuolo's lawyers argue that defining swaps to include wagers like who the most-searched person on Google will be each year "would fly in the face of the statute's purpose and history" and lead to "absurd results." They say it would make it so that any wager in the world, from a charity raffle to a local Ping-Pong match, could be classified as a financial instrument. "Spagnuolo is basically making the same argument as the states that are suing prediction markets," says a financial services regulation expert Todd Phillips. "This is the issue that will likely go up to the Supreme Court." Featured Video

In addition to disputing the idea that prediction markets offer swaps, Spagnuolo's legal team argues that the U.S. government had no jurisdiction over him in the first place because he's a non-U.S. citizen who was wagering on a non-U.S. platform. Although Polymarket is headquartered in New York, the company's flagship prediction market is banned in the United States and technically is administered by an ostensibly Panama-based entity known as Adventure One QSS. Spagnuolo was living in Zurich, Switzerland, when he allegedly made the Google-related trades on Polymarket. "The extraterritorial argument is interesting and raises the question of whether the U.S. should be the world's prediction markets cop," Philipps says. Spagnuolo's team also claims that the charges should be dismissed because the internal information he supposedly leveraged did not have any commercial value to Google.

An anonymous reader quotes a report from Reuters: Alphabet's Google escaped a breakup of its advertising technology business on Wednesday, when a judge in Virginia rejected U.S. antitrust enforcers' bid to force a sale of Google's online advertising exchange. While the ad exchange is a small part of Google's business, the ruling is the second powerful symbolic victory against the U.S. Department of Justice in its efforts to force Google to sell assets to address illegal monopolies. U.S. Judge Leonie Brinkema in Alexandria, Virginia, declined to make Google sell AdX, where publishers pay Google a 20% fee to sell ads in auctions that happen instantly when users load websites. She accepted most of the parties' proposed behavioral remedies.

The DOJ and a broad coalition of states sued Google in 2023 over its dominance in markets for advertising technology used by online publishers and websites. In April 2025, Brinkema ruled that Google holds illegal monopolies on servers that host publisher ads and ad exchanges which sit between buyers and sellers. Google unlawfully locked publishers on its ad server into using its AdX, the judge found. The tech giant's anticompetitive conduct "substantially harmed Google's publisher customers, the competitive process, and, ultimately, consumers of information on the open web," Brinkema said at the time.

At a trial last year on remedies in the case, the DOJ argued that Google cannot be trusted to run AdX, given its past behavior. Google argued that a forced sale would be technically difficult and result in a long and painful transition that would hurt customers. During the remedies trial, Google's lawyers warned that forcing it to sell parts of its ad-tech business would cause disruption and damage. [...] The ruling is the third time in a row that a judge has rejected a bid by U.S. antitrust enforcers to break up Big Tech in a crackdown that started during President Donald Trump's first term. In another major Google antitrust case, a judge similarly rejected the DOJ's push to force Google to sell Chrome. It is likely to fuel questions about whether courts are up to the task of checking the industry's unprecedented power over the U.S. economy.

The FTC and 22 state attorneys general are suing Amazon, accusing the company of secretly inflating advertising prices through undisclosed changes to its auction system that may have extracted more than $20 billion from advertisers since 2019. "Amazon has millions of advertising customers who were misled into paying significantly higher prices," FTC Chairman Andrew Ferguson said in a statement. "These higher costs were largely passed on to American consumers." CNBC reports: The complaint, which was filed in U.S. District Court for the Western District of Washington, centers on Amazon's sponsored products ads, brands ads and display ads that run alongside search results on its sprawling webstore. Amazon has amassed the third-largest digital advertising business globally, trailing only Google and Meta. The company hauled in more than $68 billion in ads revenue last year, with the lion's share coming from sales of sponsored products ads. Third-party sellers who hawk their wares on Amazon's marketplace have recently criticized surging advertising costs on the site, including a string of recent policy changes, which led to some top merchants withholding their ad spend in a boycott. The company has traditionally used a "second-price" auction system, wherein it told advertisers they "only pay the least bid amount needed in order to win," the complaint states, citing Amazon's own marketing materials.

The FTC alleges in its complaint that Amazon in 2019 changed its auction rules without notice by adding an undisclosed surcharge it referred to as a "soft reserve price," which led to higher ad prices. "Amazon made this surreptitious change to its auction because it was unhappy about how much revenue its advertising auctions were generating," the agency said in its complaint, which cites internal communications between Amazon ad executives. In one exchange, a company executive allegedly acknowledged it uses an "invented auction participant" to increase prices, the FTC said. The FTC and the states alleged Amazon's practices violate federal and state consumer protection laws, and they're seeking civil penalties, restitution and other unspecified damages. In a blog post, Amazon called the FTC's lawsuit "misguided" and said the complaint "fundamentally misunderstands how advertisers operate." The company added that the agency's lawsuit doesn't include evidence of consumer price increases.

"We've provided advertisers with guidance about our auctions and pricing in the main tools they use to manage their campaigns, and we continue to update that guidance," the company said. "We look forward to making our case in court."

MapQuest's refusal to rename Lake Ontario as "Lake America" has sent its app surging up the charts, making it the No. 1 navigation app in the U.S. and driving "hundreds of thousands" of new downloads. In contrast, Google Maps announced on Saturday that it was complying with the Trump administration's name change. TechCrunch reports: The "OG of online mapping," as the company calls itself, announced on Thursday that it would not change the name of Lake Ontario on its maps to Lake America, despite Trump's executive order directing the U.S. Department of the Interior to update the lake's name in the U.S. geographic naming service. As a result, MapQuest's mobile app downloads soared, sending the iOS app to the No. 4 position on the U.S. App Store's Top Charts for apps (not including games) as of Monday morning on the U.S. east coast.

MapQuest also reached the No. 8 position overall in the U.S. App Store across both apps and games, and it became the No. 1 Navigation app in the United States. In Canada's App Store, the app reached No. 2 overall as of Sunday evening. The 30-year-old company remarked that it received "hundreds of thousands" of new downloads since its decision to keep the name Lake Ontario in place, and saw its app's usage climb to 50 times above its normal levels. "We took the same approach we did with the Gulf of Mexico: be part of the conversation, and give people an app that keeps the names they're familiar with," said Doug Berger, general manager of MapQuest, in a statement. "Hundreds of thousands of people signaled to us this weekend that we got it right by downloading our app."

In an Amazon News blog post, their HR leader describes using AI to write 100,000 lines of code — 25 years after she last coded. "Do you know how empowering it is to realize that after 25 years away from coding, you can actually build again?" First she built a calendar app for her family, but then used Amazon's AI-powered coding tool Kiro to write an app for Amazon's internal "Everyone Can Build" event. We opened the competition to every employee on our team, and within just a few weeks, more than 1,500 people were building. I couldn't believe what they built. One employee built an app that turned a nearly four-hour manual process into a one-second automated check, saving tens of thousands of hours annually. Another made a desktop pet named Momo that keeps your tasks, reminders, and shortcuts a click away.

Since then, I've written over 100,000 lines of code with AI. What I've found is that the more you work with these tools, the more natural the process becomes, and the more you realize they're expanding what you're capable of, not replacing it. You don't need perfection to start. You just need to dive in. When I decided to build the submission app for our team competition, I didn't know how to begin, so I asked our internal AI workplace assistant, called Aza. It pointed me to the right tools and helped me take the first step. From there, I opened Kiro and started building. When you give employees the ability and tools to solve problems themselves, they will surprise you with what they create...

At Amazon, every employee has access to AI tools. Whether someone needs a quick answer, wants to move faster in their day-to-day, or is ready to try building something new, the resources are there. The more people use these tools, the more capable they become with them, and that experience carries forward in their careers... We also want to make it easy for people to build credentials that are recognized across industries. That's why AI training is free for every Amazon employee. Amazon covers the full cost of one AWS AI certification exam per year, with options ranging from foundational AI concepts to professional-level generative AI. Employees can choose the path that fits where they are in their learning journey.
Long-time Slashdot reader theodp notes that 7 months ago Galetti also took to Amazon News to announce the elimination of 16,000 corporate jobs, a move which CNBC noted coincided "with a push to invest heavily in artificial intelligence."

The job reductions come just a few months after October's layoffs, when 14,000 employees were let go across Amazon's corporate workforce. At the time, the company indicated the cuts would continue in 2026 as it found "additional places we can remove layers."

The Linux Foundation's director of IT infrastructure says they now spend more CPU cycles "rendering commits for scrapers than we spend on all other kinds of legitimate access." At any one time, across 5 geo-distributed nodes, there are 14 CPU cores doing nothing but rendering git commits as html....

[W]hen a source is guaranteed to be LLM-free, like the entire history of kernel commits, it's worth its weight in gold as a source of training data... At the time of writing, linux.git is about 1.48 million commits. Oh, and we have about 922 forks of it on git.kernel.org — but don't worry, it's actually extremely efficient on the backend, since it's mostly the same objects in every fork. Unless, of course, you're a scraper, in which case you have, oh, several BILLION valid URLs you can scrape, only to get 922 duplicates of the same 1.48 million commits — which is exactly what the scrapers are doing. But wait, it's not just commits itself. You can also ask for patches, plain renders, diffs between arbitrary commits — cgit is happy to let you, which was perfect for the times when the Internet was for humans or crawlers who obeyed robots.txt, and is AWFUL right about now, because we can generate 1.2 METRIC BAJILLION valid URLs just for a single fork of linux.git.

Initially, this was the solution — look through the logs, find out which IPs are obvious scraper bots, and fail2ban them. At first, this was easy, because the bots helpfully told you who they were via their user-agent. Then, they wised up and started pretending that they were random vanilla browsers. So, we started banning them by IP — after all, it's easy to figure out that an IP that is trying to grab every possible commit in a 8-year-old abandoned fork of linux is not really some lone Chrome on Windows user who is just furiously clicking every link that comes across their screen. The bots then started fanning out to entire subnets, but this was still meh, because obviously an IP coming from Google Compute is just pretending to be a Firefox user...

And... that's when things turned really, really ugly. Suddenly, the crawlers were coming from millions of random residential or mobile IPs, all pretending to be random modern browsers. An IP like that would make 4-5 requests and then never show up in the logs again... They descended like swarms of locust, hit hard and fast until the system fell over and then moved on to the next target until you recovered. Then, they returned. Rinse. Repeat. They still do that — welcome to the wonderful world of "proxy SDK monetization." It's big business, and your TV is probably doing it...

Today, git.kernel.org receives about 6M daily requests demanding to see random commits. Of these, 66% are still immediately batted away with the Anubis challenge, but 33% are now solving the math and getting through to the main site — because apparently what we have to offer is worth spending a ton of cycles to calculate the Anubis challenge... With a bunch of generous assumptions, legitimate requests are only about 2% of git.kernel.org traffic — everything else are scrapers...

[W]e're turning off features to reduce the number of crawlable URLs and to gate off actions that are expensive for us to run. Expect to lose some functionality, at least when accessing our resources anonymously. Trust me, we hate it just as much as you, but at this point it's a necessity... [W]e promise to still offer all of our data for download to anyone who asks. You just may have to jump through more hoops to get it.

Sorry.

It's already happened — at least on Google Maps. Google's online maps reflect name changes in official government sources, Google posted Saturday. So when the U.S. Geographic Names Information System formally changed the name for "Lake Ontario" to "Lake America," Google also renamed it "Lake America" — for visitors from the U.S.

"Those in Canada will continue to see 'Lake Ontario'," Google said.

And people from every other country in the world... "will see both names." Though here's how it will be written...

Lake Ontario (Lake America)

"These updates follow our long-standing policy for bodies of water with names that vary from country to country, and are starting to roll out now."

Meanwhile, NPR reports that Ontario's Premier posted a billboard reading "Lake Ontario — Now and Always" on Canada's side of the lake (repeating the message in French). And The Daily Beast reports Google move has also drawn some criticism online: "Hey you gave one of the Great Lakes the wrong name; pretty embarrassing mistake so you might want to fix that," one user wrote on X...

MapQuest has said it will not be changing the name, and instead launched a new tool that allows users to rename it themselves to whatever they want.

America's public education system has become "an avenue for multitrillion-dollar companies to enact their agendas," argues a NewYork Times reporter who's covered that tech industry influence for over 10 years. Big tech companies "advocate for new laws to require schools to teach industry-aligned subjects. They sit on committees that help shape learning standards for public school students..."

The reporter concludes that "Silicon Valley's efforts to capture the attention of education professionals and provide student training materials can also double as marketing or indoctrination." They enable some of the most powerful corporations on the planet to spin rosy technology stories for administrators, teachers and students, giving them a sanitized view of industry practices and product risks. Many parents would likely object if, say, Exxon Mobil wrote their children's environmental science curriculum. Or if Purdue Pharma trained their children's biology teachers. Yet, over the last decade, schools have often embraced the technology industry in similar ways with few questions asked.
The article excerpts the soon-to-be-released book " Coding Kids: Big Tech's Battle to Remake Public Schools," with the reporter adding more thoughts on LinkedIn: Every few years, Silicon Valley has urged American public schools to quickly adopt the latest technology or teach the latest tech subject: Big Data analytics; laptops for every child; algorithm-driven math and reading apps; compter programming; virtual reality. And each time the urgent arguments sounded remarkably similar: if schools just adopted the latest tech tool, or taught the latest tech subject, it would democratize learning for every child and equip students with valuable career skills.
Despite good intentions, "today we know some of those classroom tech drives did not exactly pan out as advertised." Now some of the same companies that urged schools to provide laptops and coding lessons are employing similar arguments to urge schools to quickly adopt A.I. tools. I've spent years covering Chromebooks and student chatbot use. And I'm troubled by our collective amnesia around school tech.
Thanks to long-time Slashdot reader theodp for sharing the article.

Google's AI assistant Gemini crawls your Google apps for "more personalized suggestions," in a feature they call Personal Intelligence. Now when given permission, an Android/iOS app called Dreambeans "uses Personal Intelligence to connect information from Google apps like Gmail, Calendar, Photos, YouTube and Search History, to curate a finite collection of daily stories designed to spark new ideas." In a slick new video Google says the app will "surface what matters to you."

The blog 9to5Google notes that after previously requiring a subscription, Dreambeans "is now available for free Google Accounts in the US to test, calling it "very much like a hyper-personalized Google Now or Discover feed."
Instead of using stock imagery, each Dreambeans story is accompanied by Nano Banana 2-generated artwork that uses an illustrated style. For example, if Dreambeans recommends a hike, you might see yourself and a group of friends at that location... There's also an "Ask anything" chat experience to get more information. You can leave feedback by tapping the heart or downvoting, while the chat interface allows you to provide more details. "Tune your feed" lets you tell Dreambeans what you "want more stories about" and what it should never show.
Or, as TechCrunch senior writer Lucas Ropek puts it, you get a curated list of AI-illustrated "stories" that "will turn your life into a cartoon" [Gozde Oznur, the product lead behind the new app, told TechCrunch the app] has also been built as a doomscrolling antidote, in that it only provides users with a limited number of stories per day — typically 10 to 14. The idea is to get a few inspirational ideas and then go out and live your life, she said. A lot of companies are currently trying to court the user that is sick of phone addiction. I recently reviewed a startup, Bond, which also uses AI to auto-generate lifestyle suggestions for the user.

What about privacy protections? According to Oznur, they are pretty solid. The only person with access to the app's stories is the user, she said. Users can also delete their data whenever they want, and can choose which Google services they want to connect to the tool.

An anonymous reader quotes a report from TechCrunch: Over a hundred tech companies -- including OpenAI, Anthropic, Google, and Microsoft -- have signed an open letter urging both the private and public sectors to work together to defend themselves from AI-related cyber threats. The letter -- which was also signed by prominent cyber firms like CrowdStrike, Okta, and Fortinet, as well as prominent financial institutions and internet infrastructure firms -- calls for the adoption of new forms of cyber defense, while also encouraging governments at the "local, national, and international levels" to collaborate on security. "In the coming months, AI-enabled cyber attacks will become far more widespread and sophisticated as models around the world become increasingly capable," the letter states. "The companies and public services our communities depend on -- from hospitals to water treatment plants to the infrastructure that powers the internet -- are at risk."

[...] The letter further suggests the mobilization of a "collective response," one in which "new partnerships" are formed "to raise security standards and find new solutions to emerging cyber threats." Several of the AI companies that have signed the letter are still actively developing ever more advanced AI models, highlighting their conflicted position. At the same time, they are also offering programs to use frontier AI models for defensive purposes, including OpenAI's Daybreak program, Anthropic's Mythos, and Microsoft's new cyber platform Perception.

Google is adding an "Expert Intelligence" feature to Gemini Notebook (formerly known as NotebookLM) that lets users cite and work directly from more than 100,000 books they own through Google Play Books. Those books can be used as sources for things like quizzes, infographics, and Audio Overviews. Digital Trends reports: For now, Google is offering one free book to users in the US as part of the launch campaign, with a caveat -- "while supplies last." At the moment, Expert Intelligence is only available in the Gemini Notebook app and its web dashboard, but down the road, Google says that it will also appear within the core Gemini app and AI mode in Search.

The broad idea behind expert intelligence is to combine what you can already do with Gemini, and expertise sourced from your favorite books. So, if you're asking Gemini to create a meal plan that is based entirely on chicken and spinach, you can ask the AI assistant to look for relevant recipes in one of Martha Stewart's cookbooks that you own. You can use these books as a source and turn them into Infographics, Audio Overviews, and Quizzes, among other formats. Google has partnered with select authors on Featured Notebooks that provide extra insights and context beyond their books. It's also worth noting that access is still tied to book ownership, so anyone using a shared Gemini notebook must own or purchase the book to fully use the feature.