An anonymous reader quotes a report from ComputerWeekly: Microsoft has issued patches for about 200 flaws in its latest monthly Patch Tuesday drop, blasting past a previous record high of almost 170 common vulnerabilities and exposures (CVEs) set in October 2025. Among a great many others, the latest update from Redmond fixes a total of 32 critical CVEs and three zero-day flaws. Dustin Childs, head of threat awareness at TrendAI's Zero Day Initiative, said: "We are heading into a high-stakes summer for cyber security. June's record-shattering drop ... is a stark warning that AI is supercharging flaw discovery at an uncontrollable scale. The current number of CVEs shipped by Microsoft this year exceeds the total number of CVEs shipped in all of 2018. It is extraordinary that Microsoft can produce so many patches in a single month, and I expect many testers are wondering what quality issues may exist."

And with the addition of hundreds of CVEs in Google Chrome and Microsoft Edge (Chromium) and other third-party flaws taking the total to almost 600, Chris Goettl, vice president of security product management at Ivanti, said talk of a 'Patch Apocalypse' was no longer unwarranted. "We are in the Patch Apocalypse. The Patch Apocalypse is now," said Goettl. "This is not intended to be a scare tactic. It is meant to outline the challenge that many organizations were anticipating, but the new generation of LLMs [Large Language Models] has accelerated significantly in the first half of 2026."

"There are going to be more CVEs resolved by vendors at a faster and more continuous pace than we have ever seen previously. Unfortunately, this will also include more zero-day and n-day exploits than previously seen as well. The window from release from a vendor to exploitation had already shortened to five days as of 2023 threat intelligence data." Goettl said that many suppliers have acknowledged the need to use AI tools in their security research to identify and resolve flaws, with Oracle, Google Chrome and Mozilla all upping the cadence of their updates. Whether or not Microsoft follows suit remains to be seen.

UK Prime Minister Keir Starmer has given Apple, Google, and other tech firms until September to introduce device-level protections that prevent children from taking, sharing, or viewing explicit images. "If businesses do not comply within three months, legislation will be brought forward requiring the protection to be added to all phones and tablets sold in the UK," reports The Guardian. "Tech firms that fail to do so could face fines, and their senior managers could be made criminally liable." From the report: "Today, I am calling on tech companies operating in this country to introduce vice controls that prevent children from sending and receiving sexually explicit images. Because this is not an impossible challenge," he said. "If they choose not, then we will act and we will change the law." [...] Under the changes, sexual predators will be prevented from being able to exploit and abuse victims through their devices, and children stopped from being able to access pornography, the Home Office said. Adults will still be able to take, share or view nude content once they have verified their age.

In the Commons, Melanie Ward, the Labour MP for Cowdenbeath and Kirkcaldy, said: "It's time to stop asking social media companies to make their products safe, and instead time to start requiring them to do so through regulation." Clive Efford, the Labour MP for Eltham and Chislehurst, said the "sociopaths" running social media platforms had no concern for the welfare of children. "The only message that they're going to listen to is if there's legislation put before this house that is going to act and send a clear message to them." The proposal is designed to sit alongside the Online Safety Act, which requires companies to have processes for removing material that is illegal or harmful to children.

Jeff Bezos is backing Flourish, a new "neuro AI" startup with $500 million in funding and a reported $2.5 billion valuation, that aims to reinvent AI by studying the brain's architecture and building systems that learn continuously while using far less power than today's large language models. The company's long-term bet is that neuroscientists and AI researchers working together can uncover the brain's "core algorithm" and eventually create brain-inspired AI that runs on a tiny fraction of current compute. Wired reports: Rob Williams knows how to pitch Jeff Bezos: You write a press release as if your product has already been built. Bezos reads it and gives a thumbs up or down. Williams went through this process a lot as an executive on Amazon's "S-team," in charge of software products such as Alexa, until his departure last fall. But the pitch he made a few weeks later -- in December 2025 -- was different. Now he was collaborating with Thomas Reardon, a neuroscientist and repeat startup founder, and approaching Bezos as a funder, not a boss. Here's what Bezos, sitting on his yacht somewhere, read while Williams anxiously watched on Zoom: "Flourish is a neuro AI company that is solving the two most difficult problems facing AI today: power efficiency and continuous learning. We are building Cortex AI, the first synthetic intelligence system designed to match the computational capacity, learning efficiency, and power budget of the human brain."

A month later, I'm lunching with Reardon and Williams in the Flatiron neighborhood in New York City. Reardon gets right to the point. AI has dug itself into a hole, he says. Though increasingly powerful, large language models are greedy consumers of computer power and data. Though the inspiration for LLMs was rooted in biology, current frontier models have little in common with the human brain. A person uses about 20 watts of energy to process information; a single chip in an AI training cluster uses more than 30 times that amount. The hyperscalers require thousands of chips and gigawatts of energy, enough to power small cities. And those models need to suck up virtually all of what humans have written. Each new model requires more, more, more. For all of that, the models don't learn. Once you train them, they're stuck. The goal, Reardon tells me, is to build "a synthetic artificial intelligence brain that runs on 50 watts or less." It should adapt to its conditions, be as nimble as a human mind, and burn a tiny fraction of an LLM's compute power and energy. The proof of concept is thriving inside our skulls. "There's something fundamentally wrong with saying, "I need to basically read every book ever written 20 times over in order to learn English,'" Reardon says. "A human baby does it with a couple hundred thousand utterances."

Reardon and Williams haven't figured out yet how to build systems that match the magic of a human brain. What they have is a belief that an expert, well-resourced team -- of AI researchers and neuroscientists working essentially side by side -- can find the answer. The neuroscientists will conduct original wet lab experiments with some of the most advanced lab equipment available, to hunt for usable intel on the brain's architecture. They plan to release the models they're currently developing as near-term products on the path to a full reinvention of AI. The fuzziness of the proposal didn't bother Jeff Bezos. After reading Williams' two-pager, he chipped in $50 million. Other funding came from Lux Capital, Google Ventures, and Catalio, among others. Bezos then almost doubled his initial stake and told Reardon he'd have given more if they'd asked. Now with a war chest of $500 million and a reported valuation of $2.5 billion, Flourish just needs to invent a new way to do AI.

The University of California at Berkeley discovered the percentage of failing grades in multiple CS classes this spring "is significantly higher than past semesters," reports the campus's student newspaper.

"Instructors point to students' increased reliance on AI, lack of mathematical preparedness and understaffing as potential contributing factors." According to [coursework platform] Berkeleytime, 35.3% of CS 10 students and 10.6% of CS 61A students received F's in spring 2026. In spring 2025 and spring 2024, the percentage of F's did not exceed 10% for either class. The electrical engineering and computer sciences department's grading guidelines state that 7% of students in lower division courses, including CS 10 and CS 61A, should receive D's and F's...

[UC Berkeley teaching professor Dan Garcia, who taught both classes] believes the "primary driver" of these abnormally high failing rates is due to a "vast increase in academic dishonesty" due to students' usage of large language models, such as Claude, ChatGPT and Google Gemini. "Some of the numbers that you saw from the number of students who receive failing grades were because we caught them (cheating) and prosecuted them and are sending their cases to the Center for Student Conduct," Garcia said. "But in other cases, it's students who are leaning a little too hard on LLMs to do their work for them, and then at exam time just really aren't ready." According to Garcia, nearly 30 students in CS 10 were "caught cheating on take-home exams" in spring 2026...

In addition to overreliance on AI, Garcia also pointed out that many students are underprepared mathematically, a concern echoed by campus associate teaching professor Gireeja Ranade. Ranade noticed a similar lack of prerequisite mathematical skills in her spring 2026 EECS 127 class, "Optimization Models in Engineering," which she described as "differently challenging" to teach this semester. The class saw a 16.8% F rate, far higher than the 5% of D's and F's that the EECS department describes as "typical" for an upper division course...

Both Garcia and Ranade have joined more than 1,300 UC faculty in signing a petition calling for the reinstatement of ACT and SAT standardized testing scores for STEM admissions in the UC system.
Thanks to long-time Slashdot reader theodp for sharing the article.

Ahead of its upcoming IPO, SpaceX announced that Google will pay the company $920 million per month for access to roughly 110,000 Nvidia GPUs and related compute infrastructure. Google says the agreement is short-term "bridge capacity" to meet stronger-than-expected demand for Gemini Enterprise, while SpaceX is using deals like this and its Anthropic contract to bolster its pitch for a historic public offering. TechCrunch reports: The deal is similar in length and scope to the one SpaceX announced with Anthropic in late May. As part of that deal, Anthropic agreed to pay SpaceX $1.25 billion per month through 2029 to rent all the available compute from its Colossus 1 data center near Memphis, Tennessee that xAI -- now part of SpaceX -- originally built for its own artificial intelligence efforts.

Google's deal appears to be paying for roughly half the amount of compute that Anthropic has access to at Colossus 1. SpaceX didn't say which specific data center Google would be using. CEO Elon Musk has previously suggested his company would reserve the Colossus 2 data center for xAI. Anthropic was significantly limited in its compute capacity prior to its deal with SpaceX, raising usage limits on the same day the deal was announced. Google is in a very different position, with some estimates naming it as the world's largest single owner of AI compute.

[...] Also like the Anthropic deal, the agreement with Google includes a cancellation clause. Both SpaceX and Google have the option to terminate the agreement with 90 days notice after December 31, 2026. Google's access to the data center will ramp up "through September at a reduced fee," according to the filing. "If we fail to deliver access to the committed amount of GPUs by September 30, 2026, then following a one-month grace period, Google may immediately terminate the agreement or accept the number of GPUs provided" with a reduction in the monthly fees, it reads.

An anonymous reader quotes a report from 9to5Google: There's been a lot of pushback in recent months around the impact of AI data centers on local communities, with the use of water being a key issue for many. Google, in an expansion of its "water stewardship" programs, is making commitments that include replenishing more water than it uses at its data center sites. AI data centers go through a lot of water use in cooling the hardware used to power models, and Google is no exception. While Google stands by saying that the impact of AI data centers on U.S. water consumption is "small," it also says it is focusing on "protecting local water resources in all aspects of our data center operations."

In a post, Google explains five new commitments regarding water use at its data centers in the U.S. These include replenishing more water than is consumed at data centers, helping local utilities to modernize water infrastructure, using air-cooled solutions in areas where watersheds are at risk, "transparently" reporting water use at data centers, and focusing on "alternative and reclaimed" water solutions. [...] In a linked paper (PDF), Google says it will replenish 120% of the water it uses at data center sites by 2030. Google is also committing $17 million to new water stewardship projects in Georgia, Iowa, Michigan, Minnesota, Missouri, Nebraska, and Texas in addition to 165 other projects already in place throughout the U.S.

An anonymous reader quotes a report from 404 Media: The moderators of the biohacking subreddit say that peptide and hormone replacement therapy companies have been surreptitiously spamming Reddit in an attempt to get their posts scraped by AI chatbots. The strategy is an effort to systematically manipulate the answers provided by chatbots by manipulating the underlying source material that those chatbots will scrape -- in this case, a popular Reddit community. In a post last week, the moderators of r/biohackers said they would be banning new posts about peptides and hormone replacement therapy (HRT) because of attempted manipulation by the companies that make, market, and sell them. [...] "As AI search engines increasingly pull answers from Reddit, companies are using us for AEO. On top of that, there's been an explosion of peptide interest and AI usage flooding the sub. Together, this has put serious pressure on content quality," a post by the moderators read.

[...] It has become incredibly difficult to stop Reddit manipulation, because the firms doing it are getting more sophisticated. The moderator said that there are really standard and long-running strategies where brands will hop in the comments and suggest their products: "That type of marketing has always existed and if people want to try something new because the brand resonated with them, cool. That's the way marketing should flow in my mind," they said. "But what I'm seeing that is way scarier to me is that there are companies that will reverse-engineer the actual prompt patterns that are prioritized by LLMs, and so you'll see someone post a super clickbait, high-traction, vague question like 'Is all the hype around Vitamin D actually worth it?" they added. "And that thread will do really well because everyone on biohackers actually has an opinion, so it gets engagement and prioritized by LLMs, and then brands will sneak in and they'll embed their brand mentions in those threads in the exact right places in a seemingly organic way. But none of it is organic, the entire thing is a strategy by an agency to prioritize brand mentions or a narrative within an LLM."

The Reddit accounts that are doing this are "warmed up" or are made to seem human, meaning they have a posting history that is not just promotional. This makes them much harder to detect and moderate against. Some of the agencies doing this are paying real people to post promotional content, or have built communities where people are incentivized to post promotional content. The moderator said that Reddit's automated moderation tools have been helpful, but that the type of promotion happening has become so sophisticated that it has become more of a you-know-it-if-you-see it kind of thing. "A lot of it has become pattern recognition," they said. "You literally just sort of know what to look for. But the problem is you don't want to become punitive to the people who aren't doing this maliciously, and so I think the over-moderation risk is very real."

Meta has reportedly delayed the developer release of its Muse Spark AI model API multiple times, and as of Tuesday, had no scheduled launch date, according to the Wall Street Journal (paywalled). Reuters reports: A Meta spokesperson told Reuters on Wednesday that the company is already testing the Application Programming Interface (API) with some early partners and is looking forward to releasing it this month. "The muse spark API will be coming soon," Meta AI Chief Alexandr Wang announced in a post on X in April.

Meta unveiled Muse Spark in April as the first model built to close the gap with rivals. Muse Spark is the first in a new series of models created by the company's Superintelligence Labs. Earlier on Wednesday, Meta unveiled an AI agent aimed at helping businesses carry out day-to-day operations, hinting at the company's ambitions to compete with rivals such as OpenAI, Anthropic and Alphabet's Google.

joshuark shares a report from The Verge: Apple will introduce age verification in the App Store for users in Texas starting on Thursday, June 4th. The move, as spotted by MacRumors, comes just days after a federal appeals court allowed Texas' App Store Accountability Act to go into effect while a lawsuit against it proceeds. People in Texas who are creating a new Apple account will need to verify they're over 18 using a credit card or government ID. Apple may also automatically verify users' age using the age of their account and whether they have a credit card on file.

Despite Apple's attempts to push back on app store-level age verification, the company has announced plans to implement age checks to comply with laws in places like Utah, Louisiana, Brazil, Australia, Singapore, and the UK. Google is required to make similar changes to the Play Store and is also introducing age-checking tools for developers. Last December, a judge blocked the App Store Accountability Act (SB 2420) from taking effect, but an appeals court has now reversed this decision -- at least while the court figures out whether the law is constitutional. Even if this law gets struck down in Texas, a federal version with the same name is still making its way through Congress and could impose age verification at the app store nationwide.

An anonymous reader quotes a report from Ars Technica: UK regulators today ordered (PDF) Google to put clearer attributions and links to publishers' content in its AI-generated search features. The UK's Competition and Markets Authority (CMA) also said Google must give publishers a way to opt out of AI features in search. "In a world first, publishers will now have effective tools to prevent their content being used to power AI features in search, such as AI Overviews," the CMA said today. "This will put publishers, like news organizations, in a stronger position to negotiate content deals with Google. To boost consumer trust, Google is also now required to make sure that publisher content is properly attributed, using clear links, in AI-generated search results."

The CMA ruled that Google may not penalize publishers for opting out of AI, meaning that Google can't downrank opted-out publishers in general search results. The CMA said Google will have nine months to comply with all requirements but that the agency "expects important parts of the controls to become available to publishers well before that deadline. Google will also be required to submit and publish compliance reports, supported by key data and metrics, explaining changes it has made and how it has complied." [...] The CMA applied the rules to Google after determining that it has "strategic market status" in general search services, and has ongoing investigations into Apple and Microsoft. Google today said it will comply with the CMA decision. The News Media Association, a trade group in the UK, said that "the legally enforceable Conduct Requirements for Google Search published today are a significant step towards leveling the playing field and building a fair, transparent digital economy where premium content is properly respected and fairly compensated." The group called on the UK to implement "robust enforcement."

Google has launched Gemma 4 12B, a 12-billion-parameter open AI model designed to run locally on your laptop without depending entirely on cloud infrastructure. WION reports: According to Google, the new model delivers performance close to much larger AI systems while requiring significantly less memory. The company says Gemma 4 12B can run locally on devices equipped with just 16GB of VRAM, making advanced AI more accessible to developers, researchers and businesses. The launch highlights a growing trend across the AI industry: bringing powerful AI models directly to personal computers instead of relying solely on remote data centers.

Gemma is Google's family of open AI models built using technology and research from its Gemini program. The new Gemma 4 12B model contains 12 billion parameters and has been designed to handle multiple types of information, including text, images and audio. Unlike traditional AI systems that focus only on text, Gemma 4 12B can understand visual content, process audio inputs and perform advanced reasoning tasks. This makes it suitable for a wider range of applications, from software development and content creation to research and automation. Google says the model is available under the Apache 2.0 licence, allowing developers and organizations to use, modify and deploy it with relatively few restrictions.

[...] One of the most significant technical changes in Gemma 4 12B is its new unified architecture. Traditionally, multimodal AI systems use separate components known as encoders to process images, audio and text before combining the information. Google says Gemma 4 12B removes the need for separate multimodal encoders. Instead, the model processes different types of information through a unified architecture. According to the company, this helps improve efficiency while reducing memory requirements and computational overhead. The result is a model that can deliver advanced multimodal capabilities while remaining small enough to run locally on modern hardware.

Google has released (PDF) technical specs and 2D CAD drawings for the Fitbit Air to encourage users to make their own accessories. "These CAD drawings include crucial mating dimensions, tolerances, and mating force specifications -- including attach and detach force -- to help you build a high-quality accessory band," Google says on a store page listing. 9to5Google reports: Noting how the "community has already come up with innovative and creative new ideas to make the Fitbit Air [their] own" since launch last month, Google is "officially releasing the hardware specifications and accessory design guidelines for the Fitbit Air tracker to the public." For example, owners have already found their own bicep band solutions. This information would typically just be available for third-party accessory companies, but Google wants to open things up to "independent designers and artisan makers." The Google Store page also lists other things developers should keep in mind, such as sensor clearance, sensor pressure, secure retention, and skin-friendly materials.

An anonymous reader quotes a report from 9to5Google: Phone by Google wants to combat the "growing threat of impersonation scams" and protect Android users against "sophisticated, AI-powered deepfake attacks" with fake call detection. [...] Fake call detection requires that both parties are on Android and use the Phone by Google app, while Google Messages and Google Contacts also have to be installed. When a contact calls, their phone "sends a silent confirmation signal in real time to your device to verify the call is legitimate and truly coming from the contact's device."

This digital handshake uses end-to-end encrypted RCS (Rich Communication Services). If you're being scammed by an impersonator, your phone will notice that the "initial confirmation signal will be missing," and ping the contact's real device to double-check. If their real device says, "I'm not making a call right now," you'll get a warning on your screen advising you to hang up immediately. This feature will be available globally on Android 12+ phones starting with Pixel devices this month. Fake call detection is enabled by default but can be turned off at any time. Google says it's "possible for other apps and device manufacturers to adopt this technology" given the RCS underpinnings. You can learn more about fake call detection in Google's blog post.

The European Parliament is replacing Google with French search engine Qwant as the default on in-house computers, citing digital sovereignty and privacy concerns. Politico reports: As of Thursday June 4, "Qwant will replace Google as default search engine on European Parliament computers," officials told lawmakers in an email seen by POLITICO. The change is being made "in line with the Parliament's commitment to digital sovereignty and the protection of users' personal data." The search-engine switch comes as Brussels doubles down on its push for tech sovereignty. The European Commission will on Wednesday unveil its long-awaited tech sovereignty package aimed at reducing dependence on foreign technology providers and boosting European alternatives.

The email described Qwant as a "privacy-focused European search engine" designed to avoid tracking users or collecting personal data. Founded in 2013, Qwant markets itself as a privacy-first alternative to Google. Searches conducted through the address bar in Firefox and Edge browsers will automatically be routed through Qwant, although lawmakers will remain free to use competing search engines or change their default settings.

Google has asked the EPA for permission to release up to 32 million sterile male mosquitoes in California and Florida over two years. The effort is part of the company's Debug program, which uses Wolbachia-infected males to reduce populations of disease-spreading Aedes aegypti mosquitoes. Google cites a similar approach in Singapore that helped suppress mosquito populations and reduce dengue cases. The Guardian reports: As part of its successful "Debug" program, Google is tapping into its tech expertise to raise an army of sterile male mosquitoes to lower the number of illness-spreading bugs. Mosquitoes -- the world's deadliest animal -- kill more people than any other creature in the world every year by spreading lethal diseases such as dengue, West Nile virus, Zika, chikungunya and malaria.

A notice (PDF) from the federal register shows the US Environmental Protection Agency (EPA) is reviewing Google's request to release up to 16 million mosquitoes annually, in Florida and California, over the span of two years. The EPA will decide whether to greenlight Google's request for an experimental use permit after a public comment period, which ends on 5 June.

Male mosquitoes don't bite or carry disease. One of the main approaches Google is testing involves rearing male mosquitoes with a naturally occurring bacteria, called wolbachia, which stops them from having offspring with wild female mosquitoes. When an infected male tries to mate with a wild female, her eggs won't hatch; Google explains in a blog post: "the population gets smaller with each generation."

Axios reports: The American Federation of Teachers, the second-largest teachers' union in the U.S., released a 10-point plan to introduce AI and screen-time guardrails in classrooms. The plan would limit AI use and ban screens for students in prekindergarten through second grade "unless there is a compelling reason," such as supporting students with special needs.
The teacher union's president Randi Weingarten warned that young students "are drowning in tech," according to the New York Times, which reports the union president also "called on schools on Wednesday to stop giving digital devices like iPads to children in prekindergarten through second grade." In a speech at the National Press Club in Washington, Weingarten also urged elementary schools to avoid using artificial intelligence tools like OpenAI's ChatGPT, Google's Gemini and Khan Academy's Khanmigo with children [and] called for new national privacy and safety standards for A.I. tools in all schools... "The work of teaching and learning in the earliest grades should be done without A.I."

The union's effort reflects a backlash among parents and educators against heavy use of school-issued laptops and apps. Some parents and nonprofit children's groups are also pushing back against campaigns by tech giants like Google and OpenAI to spread their A.I. products in schools... Weingarten said that the union was negotiating safety and privacy standards for A.I. use in schools with "our partners in the A.I. academy," and that Microsoft, OpenAI and Anthropic had agreed in principle to those standards.
Weingarten "laid out a plan for reorienting public schooling toward human abilities and student well-being," according to the article, calling it "a devices down, eyes up, hands-on strategy."

And meanwhile school cellphone bans are expanding into broader efforts to establish guardrails around AI in education and limit screen use, reports Axios. "At least 16 states — both red and blue — have introduced bills to limit classroom technology." Schools Beyond Screens formed with fewer than a dozen parents in Los Angeles Unified School District last year, but the nonprofit has grown to include thousands of parents and educators nationwide, SBS policy director Kate Brody tells Axios... McPherson Middle School principal Inge Esping told Axios that the suspension rate at her Kansas school fell 70% after cellphones were banned in 2022. Students also started speaking more with one another and with teachers.

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

U.S. forces deployed to war zones "have been targeted using commercially available location data," reports Reuters, citing "reports fielded by military officials."

Reuters calls it "an illustration of how the global surveillance economy is shaping the battlefield." In a letter shared with Reuters by U.S. Senator Ron Wyden, an Oregon Democrat, U.S. Central Command said it had "received multiple threat reports concerning adversary exploitation of commercial location data to target or surveil U.S. personnel in theater." The message, sent on April 14, offered no further specifics, but Centcom's area of responsibility includes the Gulf, where U.S. forces are facing off against the Iranian military over the Strait of Hormuz.
The disclosure was the first official confirmation that U.S. forces had been targeted in an active war zone, Wyden and a bipartisan group of legislators said in a letter sent on Thursday to the Pentagon. "Commercial location data can be used to identify where U.S. troops congregate and their pattern of life, which can be exploited by adversaries to target attacks such as missiles, drones, and roadside bombs, as well as for counterintelligence purposes," the letter warned.

Wyden said in a statement that it was time to "start treating the adtech industry as a national security threat."
"The letter from U.S. lawmakers to the Pentagon said that, given what military officials know about the trade in location data, they should have acted faster to protect their personnel," the artiles adds, "for example by disabling the unique advertising ID attached to military-issued devices, automatically turning off location sharing on smartphones in the field, and steering staff away from Google's Chrome web browser toward more privacy-focused alternatives."

Thanks to Slashdot reader JoeyRox for sharing the article.

After Google announced AI-emphasizing changes to its search results, many web surfers began defecting to DuckDuckGo, reports TechCrunch. (They describe DuckDuckGo as "a privacy-focused alternative" that accounts for around 2% of the U.S. search market...) DuckDuckGo said U.S. app installs went up 18.1% week-over-week on average during the May 20 to May 25 period, compared to May 13 to May 18. The company said that growth was sustained for six consecutive days and peaked at 30.5% on May 25. On iOS, the rate of install is even higher, with week-over-week growth hitting a 33% average, peaking at 69.9%... DuckDuckGo said the trend is stronger in the U.S, and that DuckDuckGo continued to gain users over the Memorial Day weekend, when it usually sees a dip in traffic. Some of that data is backed up by third parties. App analytics company Apptopia found a 29% increase in average daily downloads in the U.S. and a 12% increase globally over the same period.
DuckDuckGo also said visits to its AI-free search page, noai.duckduckgo.com averaged 22.7% week-over-week growth, peaking at 27.7% on May 24, according to the article. ("DuckDuckGo also offers an AI Image Filter that filters out AI-created images from search results.")

TechCrunch delves into the reason why: I overheard a woman on the phone saying she was switching to DuckDuckGo because you can "opt out of using AI... Google just isn't Google anymore," she said. It seems that others had the same idea... Some have argued it will kill the open web, while others shared concerns that AI overviews surface inaccurate responses and take away control from users who might not want to use AI. It also overcomplicates simple things.
A Google spokesperson pointed out that AI Mode isn't the default in their search results. (And CNET notes Google include an AI-free "Web" choice in its results if you just want a page of ftraditional blue links.)

TechCrunch adds that DuckDuckGo also offers a separate free tool called Duck.ai offering access to models including Claude, Meta's Llama and OpenAI's GPT-5 mini. "All chats are private because DuckDuckGo strips the user's IP address before requests reach model providers, deletes conversations within 30 days, and prevents chats from being used for training."

Apple is reportedly working to shrink Google's Gemini models enough to power parts of a long-delayed AI-enhanced Siri on iPhones. But despite Apple's best efforts to run the AI locally, "the iPhone's Gemini makeover will lean heavily on Google and Nvidia in the cloud," reports Ars Technica. That could complicate Apple's privacy-first AI messaging, especially if more complex Siri requests are routed through Google infrastructure and Nvidia's encrypted cloud-computing platform. Ars Technica reports: After inking the Google deal, Apple apparently got to work distilling Google's giant cloud-based Gemini models. Distillation is a process in which a small, less resource-intensive model learns to mimic a large, expensive one. With enough time, this can reliably transfer useful capabilities while pruning less important weights from the model. That may enable Siri to handle some tasks with private local compute, but a cloud component looks inevitable.

Processing users' AI data in the cloud could be a problem for Apple. At WWDC, the company will probably promote its years of experience designing chips and how well that positions it for AI. However, The Information claims that Apple has struggled to even get Google's massive undistilled Gemini models running on its custom Private Cloud Compute infrastructure, which is built on on M-series Mac chips.

When the smarter Siri rolls out, it will probably route more complex tasks to Google's cloud infrastructure instead of Apple's, but it won't be running on Google TPUs. Apple has reportedly signed a deal with Nvidia to use its Confidential Computing platform for this purpose. Confidential Computing keeps data encrypted on Nvidia GPUs while it's being processed in the cloud, which could help Apple claim it's still sensitive to user privacy concerns. It might even retain its own Private Cloud Compute branding for the system.

The iPhone probably won't tell you which version of Gemini is handling individual Siri requests. Device makers designing hybrid systems that rely on local and cloud-based AI like to talk about making the experience feel "seamless." There might be clues, though.

Illinois lawmakers on Wednesday passed a landmark AI safety bill (SB 315) that would require major AI companies to publish safety plans, submit annual third-party testing reports, report serious incidents quickly, and protect whistleblowers who flag emerging risks. OpenAI and Anthropic supported the bill, which could make Illinois a testing ground for state-level AI governance as federal regulation remains stalled. Ars Technica reports: To force companies to be more transparent about rapid developments, Illinois would likely rely on "the Big Four accounting and auditing firms -- Deloitte, EY, KPMG, and PwC -- to audit their safety practices," [said Scott Wisor, a policy director at a nonprofit called Secure AI Project, which supported the bill]. The required independent audits will likely frustrate Trump, who has tried and failed to stop states from implementing AI safety laws as Congress stalls on passing any legislation.

For Trump, the priority has been to promote AI industry interests, but he began considering expanding federal government safety testing after Anthropic's Mythos was released and the AI firm limited access due to safety concerns. Whether or not governments at any level are prepared to protect society from the most catastrophic AI risks remains a major concern for critics who wonder how and when governments will intervene. After inside sources started leaking the details of Trump's AI safety testing plans, critics warned that even the federal government may lack the necessary expertise to audit frontier AI models. And it seems the same criticism extends to independent auditors that Illinois may rely on but industry insiders suggest some AI firms may not entirely trust.

Adam Kovacevich is CEO of Chamber of Progress, a trade group that opposed SB 315 and counts Google and Apple among its members. He told Wired that Illinois' requirements "would force companies to expose sensitive systems to untested auditors in a regulatory regime that's all liability and no standards." Governor J.B. Pritzker confirmed his intent to sign, proclaiming that "Illinois is leading the nation in holding Big Tech accountable."

"I look forward to signing SB 315 and working with the legislature so that AI, when used, is used responsibly," Pritzker said.

Steve Wimmer, a senior policy and technical advisor for the Transparency Coalition, said his group considers the law to be "one of the most important pieces of legislation in 2026."