An anonymous reader quotes a report from CNN: A team of suspected Chinese hackers has infiltrated US software developers and law firms in a sophisticated campaign to collect intelligence that could help Beijing in its ongoing trade fight with Washington, cybersecurity firm Mandiant said Wednesday. The hackers have been rampant in recent weeks, hitting the cloud-computing firms that numerous American companies rely on to store key data, Mandiant, which is owned by Google, said. In a sign of how important China's hacking army is in the race for tech supremacy, the hackers have also stolen US tech firms' proprietary software and used it to find new vulnerabilities to burrow deeper into networks, according to Mandiant.

[...] In some cases, the hackers have lurked undetected in the US corporate networks for over a year, quietly collecting intelligence, Mandiant said. The disclosure comes after the Trump administration escalated America's trade war with China this spring by slapping unprecedented tariffs on Chinese exports to the United States. The tit-for-tat tariffs set off a scramble in both governments to understand each other's positions. Mandiant analysts said the fallout from the breaches -- the task of kicking out the hackers and assessing the damage -- could last many months. They described it as a milestone hack, comparable in severity and sophistication to Russia's use of SolarWinds software to infiltrate US government agencies in 2020.

Amazon Fire TV devices will run the company's Linux-based Vega OS starting in 2025, according to a job listing that Amazon subsequently edited after press inquiries. The software development manager position originally sought someone to oversee "the Vega OS experience" and "the dedicated Prime Video app on Vega OS" launching in 2025. Amazon removed references to Vega after a reporter contacted the company for comment.

The proprietary OS already powers the Echo Hub, Echo Show 5 third generation, and Echo Spot, running on Linux kernel 5.16 according to Amazon's source code notices. Current Fire TV devices won't receive Vega updates. The shift from Android would eliminate Google's influence over Amazon's streaming hardware business and remove smartphone code unnecessary for TV devices.

Google has asked the U.S. Supreme Court to pause a judge's order requiring major changes to its Play Store after losing an antitrust case to Epic Games. The injunction would force Google to allow rival app stores, external billing links, and broader competition -- changes Google says could harm users and developers. Epic argues they're necessary to break Google's monopoly. Reuters reports: Google said it has urged the U.S. Supreme Court to halt key parts of a judge's order that would force major changes to its app store Play, as it prepares to appeal a decision in a lawsuit brought by "Fortnite" maker Epic Games. Google called the judge's order unprecedented, and said it would cause reputational harm, safety and security risks and put the company at a competitive disadvantage if allowed to take effect, according to a filing, opens new tab provided late on Wednesday by Google, which said it had submitted it to the court. [...]

Google in its Supreme Court filing said that the changes will have enormous consequences for more than 100 million U.S. Android users and 500,000 developers. It asked the court to decide by October 17 whether to put the order on hold. Google said it plans to file its appeal to the Supreme Court by October 27, which could allow the justices to take up the case during their nine-month term that begins on October 6.

Epic in a statement said Google is relying on what it called "flawed security claims" to justify its control over Android devices. "The court's injunction should go into effect as ordered so consumers and developers can benefit from competition, choices and lower prices," Epic said. The jury, siding with Epic in the trial, found that Google illegally stifled competition. Donato subsequently issued the order directing Google to make changes to its app store.

An anonymous reader quotes a report from Ars Technica: With AI chatbots growing in popular usage, it was only a matter of time before large numbers of people began applying them to the stock market. In fact, at least 1 in 10 retail investors now consult ChatGPT or other AI chatbots for stock-picking advice, according to a Reuters report published Thursday. Data from a survey by trading platform eToro of 11,000 retail investors worldwide suggests that 13 percent of individual investors already use AI tools like ChatGPT or Google's Gemini for stock selection, while about half say they would consider using these tools for portfolio decisions.

Unlike algorithmic trading, where computers automatically execute thousands of trades per second, investors are using ChatGPT as an advisory tool in place of human experts. They type questions, read the AI model's analysis, and then manually decide whether to place trades through their brokers. Reuters spoke with Jeremy Leung, who analyzed companies for investment bank UBS for almost two decades. Leung now relies on ChatGPT for his multi-asset portfolio. "I no longer have the luxury of a Bloomberg terminal, or those kinds of market-data services which are very, very expensive," Leung told Reuters. "Even the simple ChatGPT tool can do a lot and replicate a lot of the workflows that I used to do."

Reuters reports that financial products comparison website Finder asked ChatGPT in March 2023 to select stocks from high-quality businesses based on criteria like debt levels and sustained growth. Since then, the resulting 38-stock portfolio has reportedly grown in value nearly 55 percent. That performance beat the average of the UK's 10 most popular funds by almost 19 percentage points. But there's a huge caveat to that kind of AI success story: US stocks sit near record highs, Reuters notes, with the S&P 500 index up 13 percent this year after surging 23 percent last year. Those are conditions that can make almost any stock-picking strategy look smart.

Reuters frames the AI trading advice trend as a case of new technology tools "democratizing," or opening up, investment analysis once reserved for institutional investors with expensive data terminals. But experts warn that AI models can confabulate financial data and lack access to real-time market information, making them risky substitutes for professional advice. "AI models can be brilliant," Dan Moczulski, UK managing director at eToro, told Reuters. "The risk comes when people treat generic models like ChatGPT or Gemini as crystal balls." He noted that general AI models "can misquote figures and dates, lean too hard on a pre-established narrative, and overly rely on past price action to attempt to predict the future."

An anonymous reader shares a report: Senators are demanding answers from Big Tech companies accused of "filing thousands of H-1B skilled labor visa petitions after conducting mass layoffs of American employees." In letters sent to Amazon, Meta, Apple, Google, and Microsoft -- among some of the largest sponsors of H-1B visas -- Senators Chuck Grassley (R-Iowa) and Dick Durbin (D-Ill.) requested "information and data from each company regarding their recruitment and hiring practices, as well as any variation in salary and benefits between H-1B visa holders and American employees."

The letters came shortly after Grassley sent a letter to Department of Homeland Security Secretary Kristi Noem requesting that DHS stop "issuing work authorizations to student visa holders." According to Grassley, "foreign student work authorizations put America at risk of technological and corporate espionage," in addition to allegedly "contributing to rising unemployment rates among college-educated Americans."

[...] In the letters to tech firms, senators emphasized that the unemployment rate in America's tech sector is "well above" the overall jobless rate. Amazon perhaps faces the most scrutiny. US Citizenship and Immigration Services data showed that Amazon sponsored the most H-1B visas in 2024 at 14,000, compared to other criticized firms like Microsoft and Meta, which each sponsored 5,000, The Wall Street Journal reported. Senators alleged that Amazon blamed layoffs of "tens of thousands" on the "adoption of generative AI tools," then hired more than 10,000 foreign H-1B employees in 2025.

An anonymous reader quotes a report from The Guardian: After deflecting the US Department of Justice's attack on its illegal monopoly in online search, Google is facing another attempt to dismantle its internet empire in a trial focused on abusive tactics in digital advertising. The trial that opened Monday in an Alexandria, Virginia, federal court revolves around the harmful conduct that resulted in US district Judge Leonie Brinkema declaring parts of Google's digital advertising technology to be an illegal monopoly in April. The judge found that Google has been engaging in behavior that stifles competition to the detriment of online publishers that depend on the system for revenue.

Google and the justice department will spend the next two weeks in court presenting evidence in a "remedy" trial that will culminate in Brinkema issuing a ruling on how to restore fair market conditions. If the justice department gets its way, Brinkema will order Google to sell parts of its ad technology -- a proposal that the company's lawyers warned would "invite disruption and damage" to consumers and the internet's ecosystem. The justice department contends a breakup would be the most effective and quickest way to undercut a monopoly that has been stifling competition and innovation for years. [...]

The case, filed in 2023 under Joe Biden's administration, threatens the complex network that Google has spent the past 17 years building to power its dominant digital advertising business. Digital advertising sales account for most of the $305 billion in revenue that Google's services division generates for its corporate parent Alphabet. The company's sprawling network of display ads provide the lifeblood that keeps thousands of websites alive. Google believes it has already made enough changes to its "ad manager" system, including providing more options and pricing options, to resolve the problems Brinkema flagged in her monopoly ruling.

Qualcomm CEO Cristiano Amon told attendees at yesterday's Snapdragon Summit opening keynote that he has seen Google's merged Android-ChromeOS platform for PCs. Speaking alongside Google's head of platforms and devices Rick Osterloh, Amon said the software "delivers on the vision of convergence of mobile and PC" and that he "can't wait to have one."

Osterloh confirmed Google is building a common technical foundation for PCs and desktop computing systems that combines Android and ChromeOS. The platform will include Gemini, the full Android AI stack, all Google applications and the Android developer community. "I've seen it, it is incredible," replied Amon excitedly. "It delivers on the vision of convergence of mobile and PC. I can't wait to have one."

An anonymous reader quotes a report from Ars Technica: If an Iranian taxi driver waves away your payment, saying, "Be my guest this time," accepting their offer would be a cultural disaster. They expect you to insist on paying -- probably three times -- before they'll take your money. This dance of refusal and counter-refusal, called taarof, governs countless daily interactions in Persian culture. And AI models are terrible at it.

New research released earlier this month titled "We Politely Insist: Your LLM Must Learn the Persian Art of Taarof" shows that mainstream AI language models from OpenAI, Anthropic, and Meta fail to absorb these Persian social rituals, correctly navigating taarof situations only 34 to 42 percent of the time. Native Persian speakers, by contrast, get it right 82 percent of the time. This performance gap persists across large language models such as GPT-4o, Claude 3.5 Haiku, Llama 3, DeepSeek V3, and Dorna, a Persian-tuned variant of Llama 3.

A study led by Nikta Gohari Sadr of Brock University, along with researchers from Emory University and other institutions, introduces "TAAROFBENCH," the first benchmark for measuring how well AI systems reproduce this intricate cultural practice. The researchers' findings show how recent AI models default to Western-style directness, completely missing the cultural cues that govern everyday interactions for millions of Persian speakers worldwide. "Cultural missteps in high-consequence settings can derail negotiations, damage relationships, and reinforce stereotypes," the researchers write.

"Taarof, a core element of Persian etiquette, is a system of ritual politeness where what is said often differs from what is meant," the researchers write. "It takes the form of ritualized exchanges: offering repeatedly despite initial refusals, declining gifts while the giver insists, and deflecting compliments while the other party reaffirms them. This 'polite verbal wrestling' (Rafiee, 1991) involves a delicate dance of offer and refusal, insistence and resistance, which shapes everyday interactions in Iranian culture, creating implicit rules for how generosity, gratitude, and requests are expressed."

AI companies like OpenAI have been quick to unveil plans for spending hundreds of billions of dollars on data centers, but they have been slower to show how they will pull in revenue to cover all those expenses. Now, the consulting firm Bain & Co. is estimating the shortfall could be far larger than previously understood. Bloomberg: By 2030, AI companies will need $2 trillion in combined annual revenue to fund the computing power needed to meet projected demand, Bain said in its annual Global Technology Report released Tuesday. Yet their revenue is likely to fall $800 billion short of that mark as efforts to monetize services like ChatGPT trail the spending requirements for data centers and related infrastructure, Bain predicted.

The report is set to raise further questions about the AI industry's valuations and business model. The increasing popularity of services such as OpenAI's ChatGPT and Google's Gemini, as well as AI efforts by companies across the planet, means demand for computing capacity and energy is rising at a rapid clip. But the savings provided by AI and companies' ability to generate additional revenue from AI is lagging behind that pace.

Google is rolling out its Gemini AI assistant to Google TV, bringing conversational AI to over 300 million devices. Users will be able to ask Gemini for help with TV recommendations, show recaps, reviews, or even general tasks like homework help, vacation planning, or learning new skills. TechCrunch reports: The company stresses that Gemini's addition doesn't mean that you won't be able to do the same things you used to be able to do through the (non-AI) Google Assistant integration. Those commands will still work, says Google. The Gemini rollout to Google TV begins on the TCL QM9K series starting today. Later in the year, Gemini will arrive on the Google TV Streamer, Walmart onn 4K Pro, 2025 Hisense U7, U8, and UX models, and 2025 TCL QM7K, QM8K, and X11K models. More functionality will be added over time.

Reddit's content became AI training data last year when Google signed a $60 million-per-year licensing agreement. But now Reddit is "in early talks" about a new deal seeking "deeper integration with Google's AI products," reports Bloomberg (citing executives familiar with the discussions).

And Reddit also wants "a deal structure that could allow for dynamic pricing, where the social platform can be paid more" — with both Google and OpenAI — to "adequately reflect how valuable their data has been to these platforms..." Such licensing agreements are becoming more common as AI companies seek legal ways to train their models. OpenAI has also struck a series of partnership agreements with major media publishers such as Axel Springer SE, Time and Conde Nast to use their content in ChatGPT...

Reddit remains among the most cited sources across AI platforms, according to analytics company Profound AI. However, Reddit executives have noticed that traffic coming from Google has limited value, as users seeking answers to a specific question often don't convert into becoming active Redditors, the people said. Now, Reddit is engaging with product teams at Google in hopes of finding ways to send more of its users deeper into its ecosystem of community forums, according to the executives. In return, Reddit is looking for ways to provide more high-quality data to its AI partners. Discussions between Reddit and Google have been productive, the people said. "We're midflight in our data licensing deals and still learning, but what we have seen is that Reddit data is highly cited and valued," Reddit Chief Operating Officer Jen Wong said on July 31 during a call with investors. "We'll continue to evaluate as we go."

"On a recent assignment to test defenses, Dave Brauchler of the cybersecurity company NCC Group tricked a client's AI program-writing assistant into executing programs that forked over the company's databases and code repositories," reports the Washington Post.

"We have never been this foolish with security," Brauchler said... Demonstrations at last month's Black Hat security conference in Las Vegas included other attention-getting means of exploiting artificial intelligence. In one, an imagined attacker sent documents by email with hidden instructions aimed at ChatGPT or competitors. If a user asked for a summary or one was made automatically, the program would execute the instructions, even finding digital passwords and sending them out of the network. A similar attack on Google's Gemini didn't even need an attachment, just an email with hidden directives. The AI summary falsely told the target an account had been compromised and that they should call the attacker's number, mimicking successful phishing scams.

The threats become more concerning with the rise of agentic AI, which empowers browsers and other tools to conduct transactions and make other decisions without human oversight. Already, security company Guardio has tricked the agentic Comet browser addition from Perplexity into buying a watch from a fake online store and to follow instructions from a fake banking email...

Advanced AI programs also are beginning to be used to find previously undiscovered security flaws, the so-called zero-days that hackers highly prize and exploit to gain entry into software that is configured correctly and fully updated with security patches. Seven teams of hackers that developed autonomous "cyber reasoning systems" for a contest held last month by the Pentagon's Defense Advanced Research Projects Agency were able to find a total of 18 zero-days in 54 million lines of open source code. They worked to patch those vulnerabilities, but officials said hackers around the world are developing similar efforts to locate and exploit them. Some longtime security defenders are predicting a once-in-a-lifetime, worldwide mad dash to use the technology to find new flaws and exploit them, leaving back doors in place that they can return to at leisure.

The real nightmare scenario is when these worlds collide, and an attacker's AI finds a way in and then starts communicating with the victim's AI, working in partnership — "having the bad guy AI collaborate with the good guy AI," as SentinelOne's [threat researcher Alex] Delamotte put it. "Next year," said Adam Meyers, senior vice president at CrowdStrike, "AI will be the new insider threat."
In August more than 1,000 people lost data to a modified Nx program (downloaded hundreds of thousands of times) that used pre-installed coding tools from Google/Anthropic/etc. According to the article, the malware "instructed those programs to root out" sensitive data (including passwords or cryptocurrency wallets) and send it back to the attacker. "The more autonomy and access to production environments such tools have, the more havoc they can wreak," the article points out — including this quote from SentinelOne threat researcher Alex Delamotte.

"It's kind of unfair that we're having AI pushed on us in every single product when it introduces new risks."

Last week the Guardian reported on "thousands of AI workers contracted for Google through Japanese conglomerate Hitachi's GlobalLogic to rate and moderate the output of Google's AI products, including its flagship chatbot Gemini... and its summaries of search results, AI Overviews." "AI isn't magic; it's a pyramid scheme of human labor," said Adio Dinika, a researcher at the Distributed AI Research Institute based in Bremen, Germany. "These raters are the middle rung: invisible, essential and expendable...." Ten of Google's AI trainers the Guardian spoke to said they have grown disillusioned with their jobs because they work in siloes, face tighter and tighter deadlines, and feel they are putting out a product that's not safe for users... In May 2023, a contract worker for Appen submitted a letter to the US Congress that the pace imposed on him and others would make Google Bard, Gemini's predecessor, a "faulty" and "dangerous" product
This week Google laid off 200 of those moderating contractors, reports Wired. "These workers, who often are hired because of their specialist knowledge, had to have either a master's or a PhD to join the super rater program, and typically include writers, teachers, and people from creative fields." Workers still at the company claim they are increasingly concerned that they are being set up to replace themselves. According to internal documents viewed by WIRED, GlobalLogic seems to be using these human raters to train the Google AI system that could automatically rate the responses, with the aim of replacing them with AI. At the same time, the company is also finding ways to get rid of current employees as it continues to hire new workers. In July, GlobalLogic made it mandatory for its workers in Austin, Texas, to return to office, according to a notice seen by WIRED...

Some contractors attempted to unionize earlier this year but claim those efforts were quashed. Now they allege that the company has retaliated against them. Two workers have filed a complaint with the National Labor Relations Board, alleging they were unfairly fired, one due to bringing up wage transparency issues, and the other for advocating for himself and his coworkers. "These individuals are employees of GlobalLogic or their subcontractors, not Alphabet," Courtenay Mencini, a Google spokesperson, said in a statement...
"Globally, other AI contract workers are fighting back and organizing for better treatment and pay," the article points out, noting that content moderators from around the world facing similar issues formed the Global Trade Union Alliance of Content Moderators which includes workers from Kenya, Turkey, and Colombia.

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

An anonymous reader shared this article from the Washington Post: A student taking an online quiz sees a button appear in their Chrome browser: "homework help." Soon, Google's artificial intelligence has read the question on-screen and suggests "choice B" as the answer. The temptation to cheat was suddenly just two clicks away Sept. 2, when Google quietly added a "homework help" button to Chrome, the world's most popular web browser. The button has been appearing automatically on the kinds of course websites used by the majority of American college students and many high-schoolers, too. Pressing it launches Google Lens, a service that reads what's on the page and can provide an "AI Overview" answer to questions — including during tests.

Educators I've spoken with are alarmed. Schools including Emory University, the University of Alabama, the University of California at Los Angeles and the University of California at Berkeley have alerted faculty how the button appears in the URL box of course sites and their limited ability to control it.

Chrome's cheating tool exemplifies Big Tech's continuing gold rush approach to AI: launch first, consider consequences later and let society clean up the mess. "Google is undermining academic integrity by shoving AI in students' faces during exams," says Ian Linkletter, a librarian at the British Columbia Institute of Technology who first flagged the issue to me. "Google is trying to make instructors give up on regulating AI in their classroom, and it might work. Google Chrome has the market share to change student behavior, and it appears this is the goal."

Several days after I contacted Google about the issue, the company told me it had temporarily paused the homework help button — but also didn't commit to keeping it off. "Students have told us they value tools that help them learn and understand things visually, so we're running tests offering an easier way to access Lens while browsing," Google spokesman Craig Ewer said in a statement.

Meta is moving to break into the wholesale power-trading business to better manage the massive electricity needs of its data centers. Bloomberg: The company, which owns Facebook, filed an application with US regulators this week seeking authorization to do so. A Meta representative said it was a natural next step to participate in energy markets as it looks to power operations with clean energy.

Buying electricity has become an increasingly urgent challenge for technology companies including Meta, Microsoft and Alphabet's Google. They're all racing to develop more advanced artificial intelligence systems and tools that are notoriously resource-intensive. Amazon, Google and Microsoft are already active power traders, according to filings with US regulators.

Google has added Gemini features to Chrome for all desktop users in the US browsing in English following a limited release to paying subscribers in May. The update introduces a Gemini button in the browser that launches a chatbot capable of answering questions about page content and synthesizing information from multiple tabs. Users can remove the Gemini sparkle icon from Chrome's interface.

Google will add its AI Mode search feature to Chrome's address bar before September ends. The feature will suggest prompts based on webpage content but won't replace standard search functionality. Chrome on Android already includes Gemini features. The company plans to add agentic capabilities in coming months that would allow Gemini to perform tasks like adding items to online shopping carts by controlling the browser cursor.

An anonymous reader quotes a report from Ars Technica: Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google's AI can clean up your text messages and summarize the web, but the company is constantly looking to prove that its generative AI has true intelligence. The International Collegiate Programming Contest (ICPC) helps make the point. Google says Gemini 2.5 participated in the 2025 ICPC World Finals, turning in a gold medal performance. According to Google this marks "a significant step on our path toward artificial general intelligence."

Every year, thousands of college-level coders participate in the ICPC event, facing a dozen deviously complex coding and algorithmic puzzles over five grueling hours. This is the largest and longest-running competition of its type. To compete in the ICPC, Google connected Gemini 2.5 Deep Think to a remote online environment approved by the ICPC. The human competitors were given a head start of 10 minutes before Gemini began "thinking."

According to Google, it did not create a freshly trained model for the ICPC like it did for the similar International Mathematical Olympiad (IMO) earlier this year. The Gemini 2.5 AI that participated in the ICPC is the same general model that we see in other Gemini applications. However, it was "enhanced" to churn through thinking tokens for the five-hour duration of the competition in search of solutions. At the end of the time limit, Gemini managed to get correct answers for 10 of the 12 problems, which earned it a gold medal. Only four of 139 human teams managed the same feat. "The ICPC has always been about setting the highest standards in problem-solving," said ICPC director Bill Poucher. "Gemini successfully joining this arena, and achieving gold-level results, marks a key moment in defining the AI tools and academic standards needed for the next generation." Gemini's solutions are available on GitHub.

An anonymous reader quotes a report from Ars Technica: The companies seeking to build larger AI models have been increasingly stymied by a lack of high-quality training data. As tech firms scour the web for more data to feed their models, they could increasingly rely on potentially sensitive user data. A team at Google Research is exploring new techniques to make the resulting large language models (LLMs) less likely to 'memorize' any of that content. LLMs have non-deterministic outputs, meaning you can't exactly predict what they'll say. While the output varies even for identical inputs, models do sometimes regurgitate something from their training data -- if trained with personal data, the output could be a violation of user privacy. In the event copyrighted data makes it into training data (either accidentally or on purpose), its appearance in outputs can cause a different kind of headache for devs. Differential privacy can prevent such memorization by introducing calibrated noise during the training phase.

Adding differential privacy to a model comes with drawbacks in terms of accuracy and compute requirements. No one has bothered to figure out the degree to which that alters the scaling laws of AI models until now. The team worked from the assumption that model performance would be primarily affected by the noise-batch ratio, which compares the volume of randomized noise to the size of the original training data. By running experiments with varying model sizes and noise-batch ratios, the team established a basic understanding of differential privacy scaling laws, which is a balance between the compute budget, privacy budget, and data budget. In short, more noise leads to lower-quality outputs unless offset with a higher compute budget (FLOPs) or data budget (tokens). The paper details the scaling laws for private LLMs, which could help developers find an ideal noise-batch ratio to make a model more private. The work the team has done here has led to a new Google model called VaultGemma, its first open-weight model trained with differential privacy to minimize memorization risks. It's built on the older Gemma 2 foundation and sized at 1 billion parameters, which the company says performs comparably to non-private models of similar size.

It's available now from Hugging Face and Kaggle.

An anonymous reader quotes a report from Ars Technica: Today, OpenAI's Economic Research Team went a long way toward answering that question, on a population level, releasing a first-of-its-kind National Bureau of Economic Research working paper (in association with Harvard economist David Denning) detailing how people end up using ChatGPT across time and tasks. While other research has sought to estimate this kind of usage data using self-reported surveys, this is the first such paper with direct access to OpenAI's internal user data. As such, it gives us an unprecedented direct window into reliable usage stats for what is still the most popular application of LLMs by far. After digging through the dense 65-page paper, here are seven of the most interesting and/or surprising things we discovered about how people are using OpenAI today. Here are the seven most interesting and surprising findings from the study:

1. ChatGPT is now used by "nearly 10% of the world's adult population," up from 100 million users in early 2024 to over 700 million users in 2025. Daily traffic is about one-fifth of Google's at 2.6 billion GPT messages per day.

2. Long-term users' daily activity has plateaued since June 2025. Almost all recent growth comes from new sign-ups experimenting with ChatGPT, not from established users increasing their usage.

3. 46% of users are aged 18-25, making ChatGPT especially popular among the youngest adult cohort. Factoring in under-18 users (not counted in the study), the majority of ChatGPT users likely weren't alive in the 20th century.

4. At launch in 2022, ChatGPT was 80% male-dominated. By late 2025, the balance has shifted: 52.4% of users are now female.

5. In 2024, work vs. personal use was close to even. By mid-2025, 72% of usage is non-work related -- people are using ChatGPT more for personal, creative, and casual needs than for productivity.

6. 28% of all conversations involve writing assistance (emails, edits, translations). For work-related queries, that jumps to 42% overall, and 52% among business/management jobs. Furthermore, the report found that editing and critiquing text is more common than generating text from scratch.

7. 14.9% of work-related usage is dealt with "making decisions and solving problems." This shows people don't just use ChatGPT to do tasks -- they use it as an advisor or co-pilot to help weigh options and guide choices.

Google has restructured Android's decade-old monthly security update process into a "Risk-Based Update System" that separates high-priority patches from routine fixes. Monthly bulletins now contain only vulnerabilities under active exploitation or in known exploit chains -- explaining July 2025's unprecedented zero-CVE bulletin -- while most patches accumulate for quarterly releases.

The September 2025 bulletin contained 119 vulnerabilities compared to zero in July and six in August. The change reduces OEM workload for monthly updates but extends the private bulletin lead time from 30 days to several months for quarterly releases. The company no longer releases monthly security update source code, limiting custom ROM development to quarterly cycles.