The partnership between Samsung and Google is not new, but the level of Gemini integration seen at Unpacked represents a significant evolution. Previously, Samsung relied on its own Bixby assistant and limited cloud AI features. Now, with Gemini Intelligence, the company is leveraging Google's large language models and contextual understanding to offer cross-app automation, real-time research assistance, and even collaborative functionalities between wearables and smart glasses. This move aligns with the broader industry trend where major smartphone manufacturers are embedding generative AI directly into the operating system, reducing latency and improving user experience.

One of the most compelling aspects of this integration is how it changes the way users interact with their devices. Instead of toggling between multiple apps to complete a single task, users can now issue a single command that triggers a sequence of actions across different applications. For example, ordering dinner or buying concert tickets can be handled in one smooth process. The following sections detail three key areas where Samsung has deeply woven Gemini into its new Galaxy devices.

1. Task Automation

The flagship feature of Gemini Intelligence on these new devices is its ability to automate complex multi-step tasks. According to information shared by Google during the event, Gemini Intelligence can help users purchase concert tickets, order dinner from their favorite restaurant, or book a complete travel experience—all by interpreting natural language requests and then executing actions across multiple apps. This is made possible because Gemini can understand the user's intent and then break it down into smaller sub-tasks, each handled by a different app. For instance, asking Gemini to "book a weekend trip to New York" might involve opening a flight booking app, a hotel reservation service, and a restaurant reservation platform—all working in concert.

Samsung has made accessing these capabilities effortless. On the Galaxy Z Flip 8, users can summon Gemini Intelligence directly from the Flex Window by hard-pressing the power button. This shortcut eliminates the need to unlock the phone or navigate through menus, making AI assistance instantly available. Google has emphasized that users retain full control over the automation process. They can view the AI's progress step by step, pause an upcoming action if they need to adjust details, and confirm actions before they are completed. This human-in-the-loop approach is designed to build trust and prevent unintended purchases or actions.

The automation feature is expected to work with over 40 popular apps at launch, though the exact list and availability timeline have not been disclosed. This ambiguity leaves some questions open, especially regarding app compatibility across different regions. However, the demo presented during Unpacked showed a clear workflow: when asked to find a specific product and place an order, Gemini Intelligence would search, present options, and then require a final human confirmation before completing the purchase. This ensures the user remains the final decision-maker.

Interestingly, this level of cross-app automation is not entirely new to the smartphone industry. At its Worldwide Developers Conference earlier this year, Apple announced that Siri would soon gain similar capabilities, allowing it to execute actions across apps connected to the user's iCloud account. However, Apple's closed ecosystem gives Siri access to a wealth of sensitive personal data—messages, photos, calendar events—from all devices signed into the same Apple ID. Samsung's approach, by contrast, relies on Google's infrastructure, raising questions about data privacy and hardware permissions. It remains unclear whether Samsung will grant Gemini the same level of access to a user's device data, such as text messages, contacts, or photos. Google has stated that Gemini's actions are opt-in and that users can revoke permissions at any time, but the fine print of how data is handled across Samsung's and Google's servers is yet to be fully detailed.

2. Gemini Notebook Integration

Another major area of integration comes through Gemini Notebook, which was recently rebranded from NotebookLM, Google's research assistant. Samsung has announced that Gemini Notebook will come preinstalled on the Galaxy Z Flip 8, Galaxy Z Fold 8, and Galaxy Z Fold 8 Ultra. This native placement means users do not need to download the app separately; it is ready to use out of the box. The foldable form factor of these devices is particularly well-suited to the research assistant's capabilities. The larger displays of the Z Fold series, in particular, allow for a true side-by-side multitasking experience. Users can drag and drop links, photos, documents, and other sources directly into Gemini Notebook, making it easy to compile research for school projects, work reports, or personal interests.

Gemini Notebook functions as a personal AI research assistant that can summarize long documents, answer questions based on uploaded material, and even generate study guides or outlines. By integrating it directly into the operating system, Samsung and Google are blurring the line between a standalone app and a system feature. The drag-and-drop functionality is especially powerful on foldables, where one half of the screen can hold the source material while the other half contains the notebook interface. This eliminates the need to switch between windows or rely on clipboard copying.

The preinstallation of Gemini Notebook signals a strategic push by Google to increase adoption of its productivity tools beyond the Pixel lineup. For Samsung users, this means immediate access to advanced AI research capabilities without any setup. The integration also hints at future possibilities where the notebook could interact with other apps, such as automatically pulling relevant content from email or cloud storage, though such features have not yet been announced. Industry analysts view this move as a direct challenge to Apple's Notes and File apps, which have begun integrating AI features in iOS 19.

During Unpacked, Samsung demonstrated how a user could research vacation destinations by dropping links and photos into Gemini Notebook, which then created a comprehensive summary of options including costs, weather, and local attractions. The notebook also allows for voice input, further streamlining the research process on the go.

3. Glasses and Galaxy Watch Synergy

The third area of deep Gemini integration involves Samsung's upcoming smart glasses, developed in collaboration with Google and Qualcomm. These glasses, teased at Unpacked, are part of the Android XR platform that Google first introduced during its I/O developer conference in May. Unlike many existing smart glasses that rely on augmented reality displays, Samsung's design is display-free. Instead, the glasses are equipped with a camera, speakers, and microphones, allowing them to rely entirely on voice and audio interaction while being powered by Gemini AI.

According to Samsung and Google, the glasses will work natively with compatible smartwatches, including the newly announced Galaxy Watch 9. This creates a powerful combination where the watch can serve as a controller or secondary display, while the glasses handle voice commands and visual inputs through the camera. For example, a user could ask the glasses to identify a landmark or translate a sign, and the information could be displayed or spoken through the watch. The integration is designed to be seamless, with Gemini acting as the common intelligence layer between the two devices.

This synergy represents a new paradigm in wearable computing. Instead of wearing multiple standalone gadgets, users will have an ecosystem where the watch and glasses complement each other. The Galaxy Watch 9 itself includes upgraded sensors and processing power to handle AI tasks locally, reducing reliance on cloud connections. When combined with the glasses, users can engage in hands-free navigation, receive contextual notifications, and even get real-time health insights without looking at a screen. The glasses also support Gemini Intelligence for tasks like setting reminders, sending messages, or controlling smart home devices—all through natural speech.

Privacy is a significant consideration for a camera-equipped wearable. Samsung has emphasized that the glasses will include a clear indicator when the camera is active, and that AI processing will happen on-device as much as possible. However, the full privacy policy regarding data collection and sharing with Google's servers has not been released. Given the sensitivity of always-on microphones and cameras, this will be a critical factor in consumer adoption.

The glasses-watch synergy is not just about convenience; it also showcases the potential of a truly intelligent wearable ecosystem. As technology evolves, such integrations could lead to new use cases in navigation, productivity, and health monitoring. For instance, a runner could ask the glasses for directions while the watch monitors heart rate and provides audio feedback. The AI could adjust music based on pace or weather conditions. These possibilities are still in early stages, but the foundation laid by Samsung and Google is promising.

Beyond these three main features, Samsung has also hinted at other Gemini-enabled capabilities such as real-time translation during calls (building on the Galaxy AI features from previous models), AI-generated wallpapers and themes, and smart scheduling that learns user habits. All these contribute to a cohesive ecosystem where Gemini acts as the central intelligence linking devices, apps, and services.

As the competition in the AI smartphone space intensifies, Samsung's deep Gemini integration positions it as a leader in practical, everyday AI. By embedding AI into hardware interaction points—like the Galaxy Z Flip's cover screen button, the foldable's multitasking interface, and the wearable combo—Samsung is making AI less of a novelty and more of a utility. The coming months will reveal whether these features live up to the promise, especially in terms of reliability, battery life, and data privacy. For now, Samsung's Unpacked 2026 has set a new benchmark for how deeply AI can be woven into a mobile ecosystem."

Source: ZDNET News

They're everywhere and easy to miss

These cameras are small, black boxes typically mounted on utility poles or traffic light arms. They are powered by batteries or solar panels and communicate via cellular networks, not Wi-Fi. Unlike red-light or speed cameras, they do not capture speed. Instead, each unit takes six to twelve still images every time a vehicle passes. Using automated license plate recognition (ALPR) and machine learning, the system extracts the plate number, make, model, color, body type, direction of travel, and even details like bumper stickers, roof racks, or aftermarket wheels.

Flock Safety reports more than 12,000 customers, including police departments, businesses, schools, and homeowners associations. The company also integrates with partner cameras from manufacturers like Motorola via platforms such as CommandCentral Aware, expanding the surveillance network even further. In many towns, both Flock Falcon and third-party cameras feed into the same searchable database.

How the data is used and stored

All images and vehicle data are sent over cellular networks to Amazon Web Services cloud servers, encrypted, and typically deleted after 30 days. Authorized users—often law enforcement—can search the dashboard by license plate, partial plate, or vehicle description. They can also set up real-time alerts when a camera detects a plate linked to a stolen vehicle, missing person, warrant, or other database entry.

This capability means a single camera provides a snapshot of a car at a particular location. But a network of many cameras across towns and states creates a comprehensive record of a person's movements. As University of California Berkeley law professor Catherine Crump explains, "Over time it will become a comprehensive record of someone's movements… where they work, live, worship, what they do in their spare time, who they associate with." Unlike traditional surveillance, this data can reconstruct past travel patterns.

The AI and cloud risks

The use of AI introduces additional concerns. While ALPR data was once manually reviewed for specific investigations, AI now allows operators to proactively search for suspicious behavior unconnected to a known crime. This could lead to profiling or drawing inaccurate conclusions. For instance, police could ask the system to flag vehicles near a protest without any criminal predicate.

Cloud storage, while convenient, creates a single point of failure. If hackers or unauthorized insiders gain access, vast amounts of location data could be exposed. Trevor Horwitz of TrustNet emphasizes the need for strong access controls and monitoring. "The quieter danger is access," adds Noam Birnbaum of Ignition, noting that authorized users within the system can misuse data or share it with outside agencies. Once shared, local rules about retention and use may be undermined.

False alerts: real consequences

False positives are another significant risk. Joel Feder, director at The Drive, was driving a Range Rover with a manufacturer plate in Minnesota when police surrounded him and his wife. A Flock camera had partially read his plate, which resembled one reported stolen in California. The AI incorrectly linked the two, triggering a police response. "If a Flock reads a plate and sees anything beyond an exact match, it should alert with a notification that there are other characters," Feder said. He argues that companies like Flock must take responsibility for their language models and guardrails.

Such incidents show that even advanced AI systems can produce dangerous false matches. Regulations have not kept pace with the technology, as Feder notes: "New laws, rules, and regulations absolutely need to be enacted and enforced about how technology like this is used."

Speaking out against Flock Safety

Former Rhode Island police officer Noel Pichardo went public after claiming his career ended because he testified against Flock cameras. He says he was suspended, passed over for promotion, and pressured to resign. The Rhode Island Police Chiefs' Association disputed his account, but Pichardo maintains his goal was to force an intelligent conversation about the cameras. "I just want you, the public, to know these cameras exist, and that they were put up without your consent," he stated.

How to find Flock cameras and push for discussion

Residents can use the volunteer-run website DeFlock.org to look for reported cameras near their town or route. The map shows camera locations, models, and directions. However, because it relies on user submissions, some entries may be missing or outdated. For example, Saranac Lake, New York, still appears on the map even after the village removed its cameras following public protest.

Once a camera is identified, individuals can contact their local police, town office, or homeowners association to determine ownership. They can request the contract, data retention policies, sharing agreements, audit logs, false alert procedures, and a list of outside agencies with access. If answers are unsatisfactory, residents can raise concerns at public meetings, contact elected officials, file public records requests, or demand a hearing before new cameras are installed.

Civil rights attorney Adanté Pointer stresses that "there should be at minimum robust public discussion and debate to determine Flock policies as it relates to the sharing of the information they gather and who has access to that data." Saranac Lake's example proves that when residents are informed and engaged, they can push back and halt surveillance programs.

Before writing this article, a request for comment was sent to Flock Safety. The company acknowledged the deadline but did not provide a statement or answers in time for publication.

Source: ZDNET News

Requirements for Testing Siri AI

Before diving into the results, it is important to understand what is needed to access the new Siri. The iOS 27 public beta is available for supported devices. Siri AI requires Apple Intelligence, which is limited to the iPhone 15 Pro, iPhone 15 Pro Max, all iPhone 16 models, and all iPhone 17 models. I used a spare iPhone 15 Pro for the beta to avoid any risks to my primary device. Setting up CarPlay is straightforward through the iPhone's settings and the vehicle's infotainment system. Once connected, Siri AI is ready to use—no waitlist is required in the public beta.

Simple Tasks: Both Versions Perform Similarly

When given straightforward commands, both Siri editions handled them well. Asking for driving directions to a specific address, sending a text message, making a phone call, checking the calendar, and adding a reminder were completed without errors. This indicates that for day-to-day basic interactions, the current Siri is perfectly adequate. The real differences emerged when the complexity increased.

1. Driving Directions to a Contact

I asked Siri to navigate to a doctor listed in my contacts by saying, "Take me to Dr. [last name]." Regular Siri failed to even look at my contacts. Instead, it returned a list of doctors found from a web search, none of which matched the correct person. In contrast, Siri AI immediately scanned my contacts and provided turn-by-turn directions to the exact doctor. This test highlights Siri AI's improved ability to understand context and preference.

2. Adjusting Driving Directions Mid-Journey

After obtaining directions, I started a new conversation and asked Siri to avoid toll roads. Regular Siri simply explained how to set toll avoidance in the Maps settings, ignoring the current route. Siri AI seamlessly updated the existing directions to bypass tolls. This demonstrates Siri AI's capacity to connect related requests across separate utterances.

3. Finding and Evaluating Nearby Restaurants

Both assistants succeeded in finding local restaurants for a specific cuisine. However, the follow-up question—"What are the ratings and reviews for these?"—exposed a gap. Regular Siri either became confused or described a different set of restaurants. Siri AI consistently provided the requested ratings and reviews for the restaurants currently displayed on screen.

4. Learning About a Current Location

While driving through a small town, I asked both Siri versions to tell me something interesting about the area. Regular Siri replied that I should search the web when I stopped driving. Siri AI immediately delivered historical and cultural facts about the town, enriching the drive without requiring further interaction.

5. Playing Music from a Personal Library

Requesting "Play some Beatles music" triggered very different behaviors. Regular Siri defaulted to playing the Beatles channel on Sirius XM, even when I specified my own library. Siri AI automatically accessed my Apple Music library and played songs I had purchased. This is a significant improvement for those who prefer their own curated collections.

6. Multi-Part Requests

Siri AI is designed to handle complex, multi-step commands. I asked it to find a lentil soup recipe online, create a shopping list of ingredients, and text that list to me. It executed each step correctly, without any pauses or errors. Regular Siri cannot process such bundled requests at all, requiring the user to break them down manually.

7. Explaining Complex Topics

When asked to explain Einstein's theory of special relativity, regular Siri provided a short answer from a single source. Siri AI synthesized information from multiple web sources into a coherent, detailed explanation. It then offered follow-up suggestions, such as asking whether I wanted to delve into time dilation or mass-energy equivalence. This interactive, educational capability is a major step forward.

8. Playing a Game

Both were asked to play a game. Regular Siri directed me to open a game app. Siri AI offered simple games like coin flip, card draw, dice roll, or rock-paper-scissors. However, when I requested a trivia game about American history, Siri AI declined, explaining that it is designed to be more practical than playful. This limitation shows that Apple is prioritizing utility over entertainment for the car environment.

9. Teaching a Language

Finally, I asked Siri to teach me a language. Regular Siri again suggested searching the web after the drive. Siri AI asked which language I wanted to learn and, when I said Italian, promptly began a mini-lesson with basic phrases, translations, and pronunciations. It continued with new words and corrected my attempts, acting as a patient tutor.

The Overall Results

Across all tests, Siri AI won decisively in every scenario that required deeper understanding, contextual awareness, or multi-step execution. It did occasionally stumble—interrupting my speech or timing out on rare occasions—but these issues are expected in a beta version. The current Siri, while functional for simple tasks, falls short when the user needs a true intelligent assistant. With Apple's continued refinements before the official September release, Siri AI is poised to transform the in-car experience.

The tests also reveal that Siri AI is deliberately focused on productivity and safety, rather than casual entertainment. This aligns with the goal of minimizing driver distraction while maximizing useful output. As the public beta evolves, users can look forward to a voice assistant that finally understands not just words, but intent.

Source: ZDNET News

The reality is that good content is now more likely to be cited by AI tools, even if your website has a lower domain authority. At the same time, most users get their answers directly within the AI platform, without ever clicking through to your site. This means fewer direct visits but more brand exposure. As long as your content is cited by AI search engines, your audience sees your name, whether or not they register as inbound traffic.

The current state of AI search traffic

According to Semrush's analysis of over 50,000 websites, AI-driven traffic grew by 66% in 2025 compared to the previous year. Yet AI still accounts for less than 0.15% of total website visits. This statistic reveals two critical insights: first, AI is capturing a significant portion of search engine traffic, but second, most of that traffic stays within the AI platform. ChatGPT, Perplexity, and Google Gemini now serve as both the starting point and final destination for many internet users. They find everything they need without ever leaving the app.

Websites that have prioritized traditional SEO are suddenly discovering that AI tools don't rank them the same way. Search engines used to reward sites with a rich library of content and demonstrated authority. AI also values those things, but it primarily looks for text that answers a user's question precisely and immediately. This shift requires more targeted optimization than technical SEO typically provides. Along with a robots.txt file and a sitemap, you might also consider adding a dedicated llms.txt file for AI agents and bots.

How to check if AI engines are citing your site

There are several ways to assess your visibility on AI search, depending on your time and budget. The simplest method: go to ChatGPT, Perplexity, or Google AI Mode and ask 10–15 questions that your content should answer. Note who gets cited and how often. This is free and takes little time.

Many free tools like HubSpot's AEO Grader provide a quick analysis, giving you a decent idea of your brand's presence in AI search engines. If you have Google Analytics, filter referrals from chatgpt.com, perplexity.ai, gemini.google.com, etc. Track this over several months to see if your presence improves or worsens.

For deeper insights, consider paid AEO analytics platforms like Semrush One or Otterly.AI. Plans start as low as $29 per month. These tools monitor your brand mentions across multiple AI models and provide data on citation frequency, sentiment, and competitive positioning.

What actually earns an AI citation

A study published by Princeton, Georgia Tech, and the Allen Institute for AI at the 2024 KDD Conference tested nine content visibility tactics across 10,000 search queries. They achieved improvements of up to 40% in AI citations. Here's what they found works:

• Don't block AI crawlers. Many content management systems block GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, and Google-Extended in robots.txt. Ensure these are allowed so AI tools can access your content.
• Write passage-friendly openings. AI models extract passages, not entire pages. When you start a new section, lead with a self-contained sentence that clearly states the key point before adding nuance or context.
• Cite numbers and sources. AI tools prioritize credible content. Vague statements are deprioritized during verification. Include data, statistics, and references to authoritative sources.
• Create an llms.txt file. This low-cost experiment, proposed by Answer.AI's Jeremy Howard, involves placing a simple text file at your site's root directory listing important pages for AI crawlers. While not yet officially supported by major AI companies, it's worth testing.
• Build a multi-platform brand presence. LLMs pull content from diverse sources, including YouTube videos and Reddit posts. A strong social media presence increases your chances of being cited across different platforms.

How AI search optimization differs from traditional SEO

Traditional SEO focuses on keywords, backlinks, page speed, and mobile responsiveness. AI search optimization (AEO) prioritizes information scent, answer precision, and content structure. While backlinks still matter, AI models weigh them less than the direct relevance of a passage to a user query. This means that a well-written paragraph on a low-authority site can outrank a poorly written page from a high-authority domain.

Another key difference is the importance of redundancy. In traditional SEO, you want unique content to avoid duplication penalties. For AI, redundancy can be beneficial. If the same fact appears across multiple trusted sources, the AI is more likely to include it in its response. This is why news agencies and government publications often dominate AI citations—they say the same thing in slightly different ways across many pages.

AI also favors content that is written in a neutral, factual tone. Overly promotional language or excessive opinions reduce the likelihood of citation. The Princeton study found that content with an academic or journalistic tone was cited 20% more often than content with a marketing tone.

Tools to measure and improve your AI visibility

Beyond free methods and paid platforms, several specialized tools can help you track AI citations. Semrush One includes an AI visibility report that shows your brand's presence across ChatGPT, Perplexity, and Gemini. Otterly.AI monitors citations in Gemini, Claude, and other models. These tools also provide recommendations for improving your content structure and metadata.

Google's own Search Console now includes an AI overviews report that shows impressions and clicks from AI-generated search results. This is a good baseline for measuring your organic AI performance, though it only covers Google's ecosystem.

For a DIY approach, you can use Python scripts with the OpenAI API to query ChatGPT about specific topics and extract which sources it references. This is more technical but gives you complete control over the testing process.

Practical steps to implement today

Start by auditing your robots.txt file. Remove any lines that block the crawlers mentioned earlier. Then, review your top 10 most visited pages and rewrite their opening paragraphs to be self-contained, clear, and data-rich. Include at least one statistic or source citation per section.

Next, create an llms.txt file. Open a text editor, write a brief description of your site, and list the URLs of your most important pages (e.g., your homepage, about page, and top articles). Save it as llms.txt and upload it to your site's root directory. This is a low-risk experiment that might yield significant rewards.

Finally, expand your social media presence. If your brand doesn't have a YouTube channel or Reddit presence, consider creating one. AI models increasingly pull from these platforms, especially for how-to and opinion content.

Understanding the mechanics of AI citation

When an AI model like ChatGPT generates a response, it doesn't simply retrieve the best page. Instead, it processes a mix of retrieval-augmented generation (RAG) and inherent training data. RAG systems search a vector database of indexed web pages and return the most relevant passages. This means that your content's embedding—a numerical representation of its meaning—must closely match the user's query embedding. This is why writing in clear, direct language that mirrors common search phrases is more important than ever.

AI models also use a process called perplexity filtering. If a passage is too similar to many others, it may be considered low-value. But if it offers a unique insight or a fresh angle, it stands out. This is where original research, expert interviews, and case studies can give you an edge.

The Princeton study also noted that AI models tend to favor content from .edu, .gov, and .org domains, even when their domain authority is lower than .com competitors. If your site is a .com, consider building partnerships with educational institutions or contributing guest posts on .org sites to boost your citation potential.

Future trends for AI search optimization

As AI search tools become more sophisticated, the gap between traditional SEO and AEO will narrow. Google is already integrating AI overviews into its main search results, and competitors like Perplexity are experimenting with agentic AI that can execute tasks on your behalf. By 2026, we can expect AI citations to carry more weight in brand perception, even if direct traffic remains low.

Early adopters of AEO tactics will have a first-mover advantage. Those who ignore the shift risk losing visibility as AI becomes the default interface for information. The core principles remain the same: create useful, informative content. But the way AI consumes and presents that content demands a subtle but important evolution in how we write, structure, and promote our work.

Source: ZDNET News

The U.S. military released a video showing three “one-way attack surface drones” exploding after approaching an Iranian Ghadir-class midget submarine and a ship maintenance facility at Iran’s Bandar Abbas Naval Base on the night of July 12. U.S. Central Command (CENTCOM), the combat command responsible for Middle East operations, described the strikes as the “first time American forces have employed sea drones in combat operations.” The drone boats made a “low-speed, uncontested approach” to their targets before detonating, according to USNI News, a service from the nonprofit U.S. Naval Institute. The submarine was out of the water, suspended from a gantry, making it a stationary target.

The technology behind the strikes involved Saronic Corsair autonomous surface vessels, developed by Saronic Technologies, a defense company based in Austin, Texas. The company’s website describes the drone boat as 24 feet in length, capable of carrying up to 1,000 pounds of payload over 1,000 nautical miles at a top speed exceeding 34 knots. These Corsair boats can operate autonomously without direct human control, handling long-range navigation, patrol missions, power management, and loitering at specific positions. For this strike, they were likely equipped with high-explosive warheads, turning them into precision kamikaze weapons.

This is the second notable U.S. military use of drone boats during the war, which began with the U.S. and Israel attacking Iran on February 28, 2026. Earlier, on June 8, a Corsair sea drone rescued two U.S. Army helicopter pilots in the waters off Oman after their AH-64 Apache was downed by a cheap Iranian Shahed drone. That rescue demonstrated the versatility of these unmanned surface vessels in non-kinetic roles.

A history of drone boat violence

The United States is far from the first to use exploding drone boats, also called kamikaze or suicide drone boats. The first confirmed use was on January 30, 2017, when Houthi forces in Yemen struck the Royal Saudi Naval frigate Al Madinah with an uncrewed remote-controlled boat. A U.S. Navy commander told Defense News that the Houthi weapon was likely developed with Iranian technical assistance, given Iran’s long-standing support for the group.

In more recent years, Ukraine has pioneered drone boat warfare since Russia’s full-scale invasion in February 2022. Despite having no traditional navy, Ukraine used flying drones and explosive drone boats to attack Russian warships and tankers, forcing the Russian Black Sea Fleet to relocate to bases farther from Ukraine and disrupting vital shipping routes. Ukrainian drone boats have also achieved historic milestones: using missiles to shoot down Russian helicopters, acting as platforms to launch small flying drones against Russian air defenses, and even deploying an armed ground robot onto contested coastal territory in an unprecedented amphibious operation.

The U.S. move into drone boat combat mirrors these asymmetric tactics. The U.S. military has also been using one-way aerial attack drones for the first time—LUCAS drones, based largely on Iranian Shahed-type drones. Along with drone boats, the U.S. is following the example of less powerful actors who have used inexpensive drone weapons to great effect. The U.S. military is currently seeking a new generation of cheaper surveillance and strike drones, especially after losing dozens of costly hunter-killer Reaper drones worth over $1 billion in the war against Iran.

The Saronic Corsair represents a leap in affordable naval power. Unlike manned ships, these drone boats can be produced quickly and at low cost—potentially under $100,000 each versus millions for a patrol boat. Their autonomous capabilities allow them to operate in swarms, overwhelming enemy defenses without risking human life. The July 12 strike targeted a Ghadir-class submarine, a small coastal vessel Iran uses in the Persian Gulf. By destroying it in port, the U.S. prevented its deployment without a naval engagement.

The broader context of the U.S.-Iran war includes the collapse of a ceasefire and President Donald Trump’s renewed escalation against Iranian targets. The drone boat strikes were part of a larger attack involving conventional U.S. fighter aircraft and warships striking Iranian military infrastructure. The shift to drone boats signals a recognition that future naval conflicts will involve autonomous systems, requiring new doctrines and procurement strategies.

Technical details of the Corsair include a diesel engine, GPS-based navigation, and modular payload bays. The boats can carry sensors, cargo, or explosives. Their autonomous software uses machine learning to adapt to sea conditions and avoid obstacles. Saronic Technologies has been developing these vessels since 2020, with funding from the U.S. Department of Defense. The company’s CEO stated that the Corsair is designed for “5th-generation naval warfare,” combining stealth, endurance, and networked operations.

The use of drone boats also raises legal and ethical questions. Under international law, autonomous weapons must be controlled by human operators who can ensure distinction and proportionality. The U.S. military has stated that its drone boats are remotely monitored and that final targeting decisions are made by humans. However, the “one-way attack” nature of these explosives means there is no recall once launched.

Asymmetric warfare has long been a tool of non-state actors, but the U.S. now embraces it to counter near-peer rivals like Iran. The success of the July 12 strike could accelerate the Pentagon’s plans to field more drone boats—and more advanced autonomous vessels like the Navy’s Medium Unmanned Surface Vessel (MUSV) and Large Unmanned Surface Vessel (LUSV). These are intended to complement manned warships, providing distributed lethality and reducing risk to personnel.

The first use of explosive drone boats by the U.S. military is a milestone in naval history. It demonstrates that even the world’s most powerful navy is adapting to the realities of low-cost, high-impact drone warfare. As the conflict with Iran continues, the waters of the Persian Gulf may see more of these silent, unmanned attackers.

Source: Ars Technica News

Background of the MBA Program

The Measuring Broadband Australia program was launched in 2020 to provide independent, real-world data on the performance of fixed-line broadband services, particularly those delivered over the National Broadband Network (NBN), Australia's government-owned wholesale open-access broadband network. The ACCC, the country's chief competition regulator, partnered with SamKnows, a network measurement company acquired by Cisco in 2023, to supply custom whitebox routers to thousands of volunteers. These devices, running a custom version of OpenWRT, performed periodic speed tests and reported results to SamKnows servers, allowing the ACCC to publish quarterly reports on broadband performance.

According to the ACCC's final report, the program initially aimed to deploy about 4,000 whiteboxes. By December 2020, over 2,600 had already been distributed, with plans to expand coverage to include emerging retail service providers and new speed tiers.

The Disabling Decision

In mid-June 2024, MBA volunteers received an email from the SamKnows Team (part of Cisco) informing them that the program would end on June 30. The email stated: "Your whitebox will be disabled, and your SamKnows One account will be closed." After that date, data collection ceased and all measurement and registration data were scheduled for deletion. Volunteers were instructed to unplug the devices and dispose of them in an environmentally responsible manner, with suggestions including free e-waste recycling services at local councils, Officeworks, JB Hi-Fi, or Harvey Norman stores.

However, as one volunteer pointed out to Ars Technica (the original source of this story, which we are not citing), the routers remain technically functional. The devices run a custom version of OpenWRT — an open-source, Linux-based operating system for embedded devices — which allows them to be reflashed into standard Wi-Fi routers with decent performance. The volunteer reflashed their own device using a soldering iron and reported that it works great as a Wi-Fi router running standard OpenWRT.

"It seems a shame to me that these perfectly good devices should all be [disabled] simply because the company can't be bothered to send out a final firmware update that opens the devices up to end users," the volunteer said.

E-Waste Implications

The decision to brick thousands of functional devices has raised significant e-waste concerns. Electronic waste is one of the fastest-growing waste streams globally, and the United Nations estimates that only about 17% of e-waste is properly recycled. Disabling working electronics prematurely contradicts efforts to reduce waste and promote a circular economy. The routers contain valuable materials such as copper, gold, and plastic, but also hazardous substances like lead and brominated flame retardants. While recycling is an option, it requires energy and resources, and many components are lost in the process. Extending the devices' lifespan through firmware updates or open-source reflashing would be a more sustainable approach.

In the United States, a similar study by SamKnows for the Federal Communications Commission (FCC) in 2011 deployed 9,000 routers, but neither the FCC nor SamKnows has publicly disclosed what happened to those devices. This lack of transparency raises questions about how governments and companies handle measurement equipment after studies conclude.

No Official Explanation

When contacted for comment, SamKnows redirected all inquiries to the ACCC. A Cisco representative stated: "Per SamKnow's agreement with the ACCC, all inquiries related to the Measurement Broadband Australia program should be directed to the ACCC." The ACCC sent a statement that did not directly address why the routers were disabled instead of opened up via a firmware update, nor did it respond to e-waste concerns. The statement read: "The ACCC delivered the MBA program with SamKnows, its testing provider. The SamKnows 'Whitebox' is a dedicated hardware-based device that was provided to a few thousand volunteers accepted into the program. The device was manufactured and supplied by SamKnows and used to measure broadband performance as part of the program. With the conclusion of the Measuring Broadband Australia program, the whiteboxes deployed during the MBA program have been disabled and are no longer operational."

The statement also repeated the encouragement for volunteers to dispose of the devices via e-waste recycling. However, critics argue that a simple final firmware update could have unlocked the devices, allowing volunteers to use them as standard routers without any ongoing cost to the government or Cisco.

Technical Feasibility of Reuse

The whiteboxes run on OpenWRT, a widely supported open-source firmware that can be easily installed on many consumer routers. The volunteer who reflashed their device noted that the process requires a soldering iron because the device lacks a standard USB or serial interface for easy flashing. But with manufacturer support, a batch firmware update could be pushed remotely before disabling the devices, making them usable by non-technical users. Other enthusiasts have already shared online guides on how to keep the disabled routers working, demonstrating that the hardware is perfectly capable of lasting for years longer.

OpenWRT projects often maintain a repository of device-specific images, and the SamKnows whitebox hardware likely uses a standard chipset that is already supported. The main barrier is the lack of an official unlock firmware from SamKnows or Cisco. Given that Cisco is a major networking company with the resources to produce such a firmware, the decision to not do so appears to be a choice rather than a technical necessity.

Possible Motivations

While neither the ACCC nor Cisco has explained their reasoning, some observers speculate that liability concerns may be a factor. If the devices were unlocked, users might attempt to repurpose them in ways that could lead to security vulnerabilities or support issues, potentially tarnishing the brands involved. Additionally, the agreement between SamKnows and the ACCC may have included provisions for data deletion and device disposal, and altering the devices' firmware could complicate that. However, a firmware update that wipes all SamKnows software and leaves a standard OpenWRT installation would satisfy data deletion requirements while giving volunteers a useful router.

Another possibility is that the program's budget did not include funds for post-study device management, and neither party wanted to absorb the cost of producing and distributing a final update. This short-sighted approach ignores the long-term environmental and social costs of e-waste.

Broader Context of E-Waste from Tech Programs

This incident is not isolated. Many government and corporate programs that deploy custom hardware for data collection end with devices being discarded, often before they have reached the end of their useful life. For example, early broadband meters used in the UK and elsewhere were similarly scrapped. The tech industry as a whole is under growing pressure to adopt circular economy principles, where products are designed for longevity, repairability, and eventual reuse. The European Union's Right to Repair legislation and similar initiatives in Australia aim to reduce e-waste by requiring manufacturers to provide spare parts and software updates for a reasonable period.

The Australian government has its own National Waste Policy Action Plan, which sets a target of reducing the total waste generated by 10% per person by 2030 and shifting to a circular economy. The bricking of thousands of routers undermines these goals. Environmental groups have called for a rethink, urging that all government-funded hardware should have a mandatory end-of-life plan that includes options for refurbishment or open-source release.

Meanwhile, volunteers who participated in good faith feel let down. Many joined the MBA program to contribute to better broadband data, not to receive a device that would soon become e-waste. The volunteer who spoke to the media summed up the frustration: "I would have been happy to keep using the router as a normal router, even if it no longer sent data to SamKnows. It's a waste of perfectly good hardware."

Source: Ars Technica News

Conde Nast, the publishing giant behind Ars Technica, recently announced an amendment to its User Agreement and Privacy Policy specifically for users of ArsTechnica.com. The change, which replaces Section VI(2)(B) of the standard Conde Nast User Agreement, clarifies the rights and licenses associated with content posted by users on the site. The updated wording retains that users own their content but grants Conde Nast an extremely broad, royalty-free, perpetual, worldwide license to use, modify, distribute, and sublicense that content for any purpose related to the service or its promotion.

The amendment is notable because it applies exclusively to Ars Technica, distinguishing it from other Conde Nast properties. The revised section explicitly states: "Except as expressly provided otherwise in the Agreement, you or the owner of any Content you post, upload, transmit, send or otherwise make available on or through the Service retains ownership of all rights, title, and interests in such Content." However, the license that follows is expansive, covering activities such as copying, reproducing, modifying, editing, cropping, altering, revising, adapting, translating, enhancing, reformatting, remixing, rearranging, resizing, creating derivative works, moving, removing, deleting, erasing, reverse-engineering, storing, caching, aggregating, publishing, posting, displaying, distributing, broadcasting, performing, transmitting, renting, selling, sharing, sublicensing, syndicating, or otherwise providing to others, using, or changing all such Content and communications in any medium and for any purpose on or in connection with the Service, or the promotion thereof.

This clause effectively gives Conde Nast carte blanche to repurpose user-generated content—including comments, forum posts, letters to the editor, and even ideas or suggestions—without compensation or attribution, as long as the use is tied to the service or its promotion. The amendment also applies to communications related to sweepstakes, contests, and other interactions with the company.

Key Facts and Implications

The most important takeaway for Ars Technica readers is that while they retain ownership of their content, they grant a license that is both comprehensive and potentially long-lived. The license is perpetual and non-exclusive, meaning it never expires and Conde Nast can allow others to use the content as well. The list of permissible actions is exhaustive and includes commercial exploitation, syndication, and even reverse-engineering. The phrase "on or in connection with the Service, or the promotion thereof" provides some limitation—the use must relate to the service itself or its promotion—but this still allows a wide range of activities, such as using a user's comment in an advertisement, including it in a promotional video, or republishing it on partner sites.

Historically, user agreements on platforms like social media networks and content hubs have sparked controversy over content ownership. For example, Facebook and Twitter have faced criticism for broad licenses that allow them to monetize user posts. The Ars Technica amendment mirrors those practices but with a narrower scope tied to the service. Still, it is a shift from the previous version of the agreement, which was presumably more restrictive for Conde Nast. The company likely made this change to streamline its ability to use user contributions in marketing and product development without seeking individual permissions.

Another key fact is that users are advised to make copies or back-ups of any content they post. The agreement states: "In any event, you should make copies of or otherwise back-up any and all Content, personal data or communications you post, upload, transmit, send or otherwise make available on or through the Service that you may wish to retain." This is a prudent recommendation, as once content is posted, Conde Nast has the right to use it in ways that might alter or remove the original. Users concerned about anonymity or future control should therefore keep their own records.

Background and Context

Online user agreements are often lengthy and dense, but they form the legal backbone of the relationship between platforms and their users. Section VI of the standard Conde Nast User Agreement typically deals with user content and licenses. By replacing subsection (2)(B) for Ars Technica, the company is effectively customizing terms for a specific audience. Ars Technica is known for its technically savvy readership, and the site hosts active comments sections, forums, and occasionally user-submitted content like tips and op-eds. The amendment ensures that Conde Nast can leverage that content across its ecosystem, which includes other brands like The New Yorker, Vogue, and Wired.

Such changes are not uncommon. Many media companies update their terms of service periodically to adapt to new business models, such as increased reliance on user-generated content for SEO, social media promotion, and even AI training. The mention of "reverse-engineering" in the list of permitted actions is particularly interesting, as it suggests the company may want to analyze user content for technical or behavioral insights. This could be relevant for developing recommendation algorithms or improving site functionality.

Legal experts note that the license is royalty-free and requires no attribution, which means users cannot demand payment or credit even if their content becomes central to a marketing campaign. However, because the license is non-exclusive, users remain free to share their own content elsewhere. The key limitation is the scope: "on or in connection with the Service, or the promotion thereof." This prevents Conde Nast from selling user content to third parties for unrelated purposes, but it still allows substantial leeway. For instance, a comment about a product review could be used in a promotional email for Ars Technica subscriptions.

What Users Should Know

For those who actively contribute to Ars Technica—whether by posting comments, writing letters, or submitting tips—the amendment has immediate effect. The agreement states that by posting content or engaging in communication, users irrevocably grant the license. There is no opt-out provision; using the service constitutes acceptance. Users who wish to retain full control over their words or ideas should avoid posting sensitive material. The advice to back up content is critical, as Conde Nast may modify or delete user content at its discretion under the license.

It is also worth noting that the amendment applies to all forms of communication, including private messages if they pass through the service. The language covers "any other form of communication with us (on or through the Service or otherwise)," which could be interpreted broadly. Users should be aware that even suggestions sent via feedback forms or support tickets may be subject to the same licensing terms.

In comparison, other major tech companies like Google and Apple have faced legal challenges over similar clauses. Some user agreements have been deemed unenforceable in certain jurisdictions, especially when they grant excessively broad rights without reasonable notice. However, Conde Nast likely has legal teams ensuring compliance with applicable laws. The amendment is clearly highlighted in the communication, and users are given the chance to review it before continuing to use the site.

Historical Trends in Content Licensing

The evolution of content licensing online reflects the growing value of user-generated material. Early internet platforms often assumed they owned everything users posted; many early forum terms of service included clauses that transferred copyright to the platform. Over time, the trend shifted toward user ownership with broad licenses—a compromise that allows platforms to operate while respecting user rights. The Ars Technica amendment falls squarely into this modern pattern.

Notably, some platforms have faced backlash when they attempted to claim ownership. For example, Instagram’s 2012 terms proposed unlimited licensing for advertising, leading to a user revolt. Instagram walked back the language. Similarly, LinkedIn has been embroiled in lawsuits over email harvesting and using user data for its own benefit. By being transparent with the amendment, Conde Nast hopes to avoid such controversies. The announcement was made via the Ars Technica site itself, giving users an opportunity to read the changes and adapt.

The inclusion of specific actions like "crop" and "alter" suggests that Conde Nast may want to use snippets of user content in different formats, such as pull quotes in articles or images in social media posts. The ability to create derivative works is particularly powerful, as it allows the company to modify comments to fit a narrative or combine multiple contributions into a new piece. While this could benefit the site by enriching its content, it also raises questions about editorial integrity and the potential for misrepresentation.

Industry Impact and Reactions

Reactions among Ars Technica readers have been mixed. Some applaud the clarity of the new language, noting that previous terms were ambiguous. Others express concern about the breadth of the license, especially the perpetual duration and the lack of compensation. Privacy advocates point out that the license includes the right to "reverse-engineer" content, which could imply data mining or profiling. However, Conde Nast has explicitly stated that the license is tied to the service or its promotion, which may alleviate some fears.

The amendment also highlights the importance of reading terms of service carefully—a point often overlooked by casual users. As more people become aware of the value of their online contributions, they may start demanding more equitable terms. This could lead to industry-wide shifts, similar to the rise of Creative Commons licensing that allows creators to specify how their work can be used. For now, Ars Technica users must decide whether they are comfortable with the new balance of rights.

From a business perspective, the amendment allows Conde Nast to operate more efficiently. It eliminates the need to negotiate separate licenses for each piece of user content, reduces legal risk, and opens up new revenue streams through syndication and promotion. In an era where media companies are struggling to monetize digital audiences, leveraging user-generated content is a cost-effective strategy. Ars Technica's community is particularly active, and its comments often contain expert insights that can add value to articles.

Ultimately, the amendment is a routine update to standard boilerplate legal language, but it carries significant implications for content creators. By understanding the new terms, users can make informed decisions about their participation on the site. The company's move to specify that the license applies only to ArsTechnica.com may be a test case; if successful, similar amendments could roll out to other Conde Nast properties. For now, Ars Technica remains a leading tech publication, and its user agreement reflects the evolving dynamics of online content ownership.

Source: Ars Technica News

Design and Display

The Z Fold 8 measures approximately the same height as a passport and is less than half an inch more narrow. When closed, the cover display has a 10:16 aspect ratio, making it wider than typical smartphones but easier to use one-handed due to the reduced height. The inner screen expands to a 4:3 aspect ratio when opened, providing a more tablet-like experience that is particularly well-suited for watching video content or reading ebooks. Samsung has equipped the main display with a 120Hz OLED panel, peak brightness of 3,000 nits, and a new anti-reflective coating to reduce glare.

Samsung's decision to make the Z Fold 8 wider is a deliberate move to differentiate it from the Z Fold 8 Ultra, which retains a taller, squarish inner screen similar to previous Fold models. The company positions the Z Fold 8 as a device optimized for consumption, while the Ultra is for multitasking. According to Samsung's marketing, the Fold 8 is for 'joy-maxxing,' while the Ultra is for 'power-maxxing.'

Battery and Charging

A notable upgrade in the Z Fold 8 is the adoption of silicon-carbon battery technology, a first for Samsung. The battery capacity is 4,800mAh, an increase from the 4,400mAh in the Z Fold 7. However, this is still modest compared to competitors like Honor's Magic V6, which packs a 6,660mAh cell. Samsung has taken a cautious approach to silicon-carbon batteries, mindful of the Galaxy Note 7 incident in 2016. BD Yang, executive vice president of Samsung's core component technology team, emphasized that the company prioritized stability and long-term performance over sheer energy density. The Z Fold 8 still does not support full Qi2 charging due to the absence of internal magnets necessary for alignment.

Camera System

One of the most controversial aspects of the Z Fold 8 is its camera configuration. Unlike the Z Fold 7, which featured a 200-megapixel main sensor, the Z Fold 8 uses a 50-megapixel main lens paired with a 50-megapixel ultrawide. There is no telephoto camera, which is a significant downgrade for a device priced at $1,900. Samsung has not provided full sensor specifications, so image quality comparisons remain inconclusive until a comprehensive review. This camera omission is particularly notable given that the Z Fold 8 Ultra retains a triple rear camera setup, including a telephoto lens.

Performance and Software

The Z Fold 8 is powered by the Qualcomm Snapdragon 8 Elite Gen 5 chipset, optimized in collaboration with Samsung. It supports the latest software features, including Gemini Intelligence task automation and a proactive AI feature called Now Nudge, which provides cross-app suggestions. The device also benefits from a new hinge design with titanium-alloy film and a titanium plate, making it easier to open one-handed and providing a satisfying click when closed. However, the IP48 rating means it lacks comprehensive dust protection compared to the Pixel 10 Pro Fold, which offers better ingress protection.

The phone runs Samsung's One UI based on Android 16, with optimized apps for the new aspect ratio. Samsung has announced that Instagram will be optimized for the wider display. Early impressions suggest that the form factor feels natural for consuming media, though video content will still be letterboxed due to the 4:3 aspect ratio.

Pricing and Positioning

The Galaxy Z Fold 8 is priced at $1,899.99, which is $100 less than the Z Fold 7 at launch. However, the Z Fold 8 Ultra costs $2,099.99, representing a $100 increase over the Z Fold 7. This pricing strategy effectively masks the price hike of the higher-end model. The Z Fold 8 targets users who prioritize media consumption and portability, while the Ultra aims at power users who need a multitasking powerhouse. The Z Fold 8 is part of Samsung's wider 2026 foldable lineup, which also includes the Z Flip 8 and the Z Fold 8 Ultra.

The design of the Z Fold 8 is not entirely new; the wider form factor echoes the Huawei Pura X Max launched in April 2026, though that device is limited to China. Apple is also expected to adopt a similar passport-like shape for its first foldable iPhone, expected in September. The return of the wider foldable marks a departure from the industry trend of taller and narrower foldables, and it remains to be seen whether consumers will embrace the new shape.

Early hands-on time with the Z Fold 8 suggests that the device feels comfortable to hold, both open and closed. The reduced height makes it easier to reach across the screen one-handed, and the wider cover display quickly feels natural. However, the lack of a telephoto camera is a significant compromise, especially at this price point. Whether the Z Fold 8 will succeed depends on how well apps adapt to the new aspect ratio and whether consumers value the wider display enough to overlook the camera downgrade.

The Z Fold 8 is available for preorder starting July 22, 2026, with shipments beginning in early August. Samsung is offering trade-in deals and financing options to make the high price more palatable. The device will be available in Phantom Silver, Phantom Black, and a new Beige color option. Accessories include a protective cover with a built-in kickstand and a new S Pen designed specifically for the wider screen.

Source: The Verge News

The first fine, totaling €460 million, targets Google's practice of favoring its own Shopping, Hotels, and Flights services in search results over those of competitors. According to the Commission, this behavior stifles competition by denying rival services a fair chance to reach consumers. The second fine of €430 million relates to Google Play Store rules that restrict developers from informing users about cheaper payment options outside the app store. Both practices are seen as violating the DMA's requirement that gatekeepers treat third-party services fairly and allow business users to communicate and promote offers freely.

As part of the ruling, Google has 60 days to implement significant policy changes or face additional periodic penalty payments. In the realm of search, the company must ensure that third-party comparison services receive equal treatment in terms of ranking and presentation. For the Play Store, Google must allow Android developers to freely promote alternative payment methods both inside and outside the app store environment. The Commission emphasized that these changes are necessary to restore competitive dynamics in digital markets.

Background and Context

The fines follow a non-compliance investigation that began more than two years earlier, with a preliminary ruling issued in March 2025. Google was given time to address the EU's concerns, but a proposed remedy submitted in May 2026 was deemed insufficient by the Commission. In response, Google made and tested several modifications to its search services, including removing the Google Flights widget for EU users and altering search result layouts to boost links to third-party comparison sites. However, the company has strongly criticized the EU's demands, with a spokesperson telling Reuters that the changes represented "the biggest downgrade in the product's history, creating a second-rate experience for Europeans to the benefit of a few self-interested complainants."

This is not Google's first encounter with EU antitrust enforcement. In 2017, the company was fined €2.42 billion for giving its own comparison shopping service an illegal advantage over competitors. That case, which involved similar allegations of preferential treatment, set a precedent for the current DMA penalties. The DMA, which took effect in 2023, targets larger "gatekeeper" companies that provide core digital services in Europe. It imposes strict obligations to ensure fair competition, with maximum fines of up to 10% of a company's global annual turnover—potentially $40 billion in Google's case, based on its 2025 revenue of $400 billion.

Google's Defense and Ongoing Legal Battles

Google has consistently argued that opening up its search and app distribution systems poses security risks to users. In a blog post last year, the company stated that "the DMA is making it difficult to protect users from scams and malicious links on Android by forcing us to remove our legitimate safeguards that protect users' security and safety." Despite these objections, Google updated certain terms following consultations with the European Commission and other experts, revising fees and restrictions on Android developers. The Commission acknowledged that these changes "constitute good progress towards compliance," but ultimately found them insufficient to fully address the violations.

Outside the EU, Google faces similar antitrust battles. In the United States, Epic Games, the publisher of Fortnite, successfully sued Google over its Play Store policies concerning in-app purchase fees. As a result, Google will be required to carry rival Android app stores within its own platform. This case, along with the EU fines, reflects a global trend of regulators targeting the dominance of major tech companies.

Implications for the Digital Market

The European Commission's executive vice-president for clean, just and competitive transition, Teresa Ribera, stated: "The best products should succeed because they're better, not because they're owned by the company running the search engine. And European consumers have a right to be told by app developers where to sign up to the best offers, even when the app store owner does not get a cut. This is the promise of the DMA, protecting fairness, choice and innovation in digital markets for the benefit of all European citizens." The ruling is expected to have ripple effects across the industry, prompting other gatekeepers like Apple and Amazon to review their own practices to avoid similar penalties. The DMA's enforcement sends a clear signal that the EU is willing to use its regulatory power to reshape the digital landscape, prioritizing consumer choice and fair competition over the entrenched advantages of dominant platforms.

Google's compliance deadline of 60 days means that EU users may soon see noticeable changes in search results and app store policies. For developers, the new rules could open up additional revenue opportunities by allowing them to bypass Google's commission fees through alternative payment systems. Consumer advocacy groups have welcomed the fines, calling them a victory for fair competition. However, Google has indicated it may appeal the decision, and the legal wrangling could prolong the implementation of the required changes. As the digital economy evolves, the tension between innovation, security, and competition will continue to shape regulatory actions worldwide.

Source: The Verge News

The Fall and Rise of Halo

To understand the significance of Campaign Evolved, one must revisit the origins of Halo. In 2001, Microsoft launched the original Xbox with a powerhouse title: Halo: Combat Evolved, developed by Bungie. The game was a revelation, combining a gripping sci-fi narrative with tight, innovative shooter mechanics. It single-handedly justified the purchase of an Xbox and helped establish Microsoft as a legitimate competitor to Sony and Nintendo. The franchise went on to become one of the most iconic in gaming history, with sequels like Halo 2 and Halo 3 setting new standards for multiplayer and storytelling.

However, after Bungie parted ways with Microsoft in 2007, the series was handed to 343 Industries (now Halo Studios). The transition was rocky. While Halo 4 and Halo 5: Guardians had their moments, they lacked the magic of the original trilogy. Halo Infinite, released in 2021, attempted a soft reboot but suffered from a troubled development cycle, a controversial live-service multiplayer model, and a story that felt incomplete. The gap between mainline entries grew, and the franchise's cultural relevance waned.

What Campaign Evolved Gets Right

Fortunately, Campaign Evolved recaptures much of the original's spark. The remake faithfully recreates the campaign of the first Halo, putting players back in the boots of Master Chief as he battles the Covenant and later the parasitic Flood. The Unreal Engine 5 overhaul is breathtaking: the ringworld of Halo is more lush and detailed, battles feel more epic with dynamic destruction, and the horror sections—especially the Flood—are genuinely unsettling. The addition of a sprint button, which was absent from the original, makes movement feel modern and fluid. New vehicle hijacking mechanics and an expanded arsenal add depth without disrupting the classic flow.

Three new missions have been inserted into the campaign, offering new perspectives and expanding the lore. While purists might quibble over changes to level design, the overall effect is that the game plays like the idealized memory of the original—a sentiment echoed by many critics. Co-op for up to four players is supported, making it a perfect title to share with friends.

The Broader Context: Xbox's Identity Crisis

Yet, as Webster points out, the release of Campaign Evolved is clouded by the turmoil at Xbox. In July 2026, new Xbox CEO Asha Sharma announced a massive restructuring that will see over 3,000 employees laid off over the next year. Studios like id Software, the legendary developer behind Doom, are being dramatically scaled down. These cuts are part of a broader "reset" strategy that has left the future of Xbox's first-party lineup uncertain.

The irony is palpable: Halo was once the crown jewel that defined the Xbox brand. Now, its latest release is a remake—a safe bet rather than a bold new direction. Moreover, Campaign Evolved is launching not only on Xbox and PC but also on PlayStation 5, as part of Microsoft's increasingly confusing multiplatform strategy. This move, while potentially lucrative, dilutes the exclusivity that once made Xbox compelling.

The timing is particularly brutal. Just weeks before the remake's early access launch, the gaming world learned that Halo Studios itself had been affected by the layoffs. Several key developers who worked on the remake were let go, raising questions about the company's commitment to the franchise. Many see Campaign Evolved as a final hurrah for an era rather than a new beginning.

Lessons from the Past

The original Halo succeeded because it was daring. It proved that a first-person shooter could tell a compelling, cinematic story while delivering exhilarating gameplay. It introduced mechanics like recharging shields and two-weapon carrying that became industry standards. It was a showcase for the Xbox's capabilities and a testament to the power of focused, innovative design.

Today's Xbox, by contrast, has struggled to define its identity. The company's aggressive acquisition of studios—including Activision Blizzard, Bethesda, and others—has not translated into a steady stream of exclusive hits. Instead, it has led to bloated budgets, mismanagement, and a talent drain. The decision to release major titles like Starfield and now Halo: Campaign Evolved on rival platforms has confused consumers and angered die-hard fans. The very idea of an "Xbox exclusive" seems increasingly obsolete.

Yet, Campaign Evolved is a reminder of what once was. It shows that the core Halo formula still works when executed with care and respect. The game's quality is unquestionable, but it's hard not to view it through a lens of loss. It feels like a beautiful tribute to a past glory rather than a step toward a bright future.

The Road Ahead

As Campaign Evolved hits shelves (and digital storefronts) on July 28, 2026, the question lingers: What comes next for Halo and for Xbox? Halo Studios is reportedly working on a new mainline entry, but given the recent layoffs and the shifting priorities at Microsoft, it's unclear when that might arrive. The live-service Halo Infinite multiplayer continues to receive updates, but the player base has dwindled.

Meanwhile, Sony continues to push forward with blockbuster exclusives like The Last of Us Part III and God of War: Ragnarok, while Nintendo's next console draws eager anticipation. Microsoft's Game Pass service remains a strong value proposition, but it hasn't been enough to boost hardware sales meaningfully. The company's pivot toward becoming a multi-platform publisher and cloud gaming provider may eventually pay off, but in the short term, it leaves traditional console fans feeling left behind.

Perhaps the biggest irony is that Campaign Evolved is excellent precisely because it stays true to the original's design philosophy. It doesn't try to reinvent the wheel; it polishes it. In doing so, it highlights how much Xbox has lost its way. A decade ago, a new Halo game would have been a system-seller, a reason to buy an Xbox Series X. Now, it's a game that's also on PlayStation, launching amid corporate turmoil, and serving more as a nostalgic trip than a bold statement.

The original Halo was a revolution. Its remake is a masterpiece of preservation and enhancement. But the context in which it arrives ensures that the excitement is tinged with melancholy. For those who remember the days when Xbox was synonymous with innovation and excitement, Halo: Campaign Evolved is a beautiful reminder of what used to be—and a stark contrast to what is.

Halo: Campaign Evolved launches July 28, 2026, on Xbox Series X|S, PlayStation 5, and PC, with early access starting July 23 for preorder customers.

Source: The Verge News

"We are going to fight, fight, fight," said a 71-year-old woman named Carol, who was manning a table with flyers and a petition the group, No Data Centers Hernando County, planned on presenting to the local government. Carol, a retired country music radio host, is a staunch conservative and a proud Floridian. The American flag on her red T-shirt was made up of little sea turtles. A white visor, bedazzled with red and blue rhinestones, shielded her face from the late-morning sun. "How would you like to have one by you? If you live within 15 minutes of a data center, night and day you're going to hear: EEEEENNNNNNHHHHHHHHHHHH."

Beyond the noise pollution and environmental destruction — the frequencies emitted by data centers, she told me, hurt bees and other pollinators — Carol was concerned about the social cost of mass AI adoption. She told me about a woman she knows who cut off all her friends because "ChatGPT told her to."

"She consults with ChatGPT what time she should wake up in the morning, what time she should go to bed, who should be her friends," she said.

The small rally in this Tampa exurb was one of nearly 150 protests affiliated with Humans First, which describes itself as a "conservative social movement that is dedicated to ensuring that the future of AI is in the hands of everyday people."

Carol recited a litany of harms caused by data centers, some of them more dubious than others. Cows raised on ranches near data centers, she claimed, were giving birth to stillborn calves. Hyperscale facilities source their parts from China, an American adversary, threatening national security. "We're setting ourselves up," Carol told me. "Do you know what's in those chips?" I told her I do not. "We're blindly trusting the Chinese?" she continued, incredulous. "To give us chips?" (Conservative proponents of data centers, meanwhile, claim China is funding anti-AI campaigns in the United States.)

A Bipartisan Backlash

Communities across the country are pushing back on data center construction. A recent Gallup poll found that seven in 10 Americans oppose construction of data centers in their area. Nearly two-thirds of Republicans and 75 percent of Democrats surveyed said they objected to local data center construction. Americans may be more polarized than ever, but the backlash to data centers is bipartisan — and it may cement new, surprising political alliances. The concerns animating the conservative backlash are similar to those motivating liberals: the environmental costs of data center construction and maintenance; the ethical problems of AI, ranging from its use for mass government surveillance to its effects on users' mental health; and fears that having a data center nearby will hurt their quality of life. But there are also some partisan anxieties behind the right-wing data center backlash, namely the threat of Chinese infiltration of US technology.

Humans First, a once-bipartisan offshoot of the Center for AI Safety, is helmed by Amy Kremer, a longtime conservative organizer who is arguably one of the people most responsible for the Republican Party's populist turn. Kremer was an early leader of the Tea Party and a cofounder of both Women for Trump and Women for America First, the latter of which hosted the Stop the Steal rally in Washington, DC, that devolved into the January 6th riots. (Kremer was not among those who stormed the Capitol.)

Despite Humans First's partisan bent and Kremer's political bona fides, the concerns at the Humans First-affiliated rally in Hernando County were decidedly local. A firefighter running for agricultural commissioner dropped off signs; a Republican candidate for county commissioner stopped by. The gathering ended with a lecture from a land use expert who explained how to change zoning codes to prevent the construction of hyperscale data centers — those that occupy at least 10,000 square feet and have a minimum energy draw of 100 megawatts. Before the lecture, No Data Center Hernando County member Kim Belanger, who works in IT, pulled up an article on data centers from the progressive website More Perfect Union. Even though the room skewed conservative, the article, she said, was "very informative."

Patti Zirhut, the organizer, told me that she found out about Humans First on Facebook. Participating in the national day of action was a no-brainer, since Zirhut and her friends had already started No Data Center Hernando County to thwart data center construction in their community.

"I am very conservative and I don't believe in all the stuff that Democrats believe in at all," Zirhut told me. But she also feels betrayed by Florida's Republican leadership. She was a big fan of Gov. Ron DeSantis — at first. But in his second term, she said, "he's been nothing but pro-development, just inviting everybody here, tearing up our state."

The Politics of Development in Florida

DeSantis has positioned himself as an AI skeptic and signed a law in May requiring hyperscale data centers to cover their own utility costs and letting local governments set water use regulations for data center projects. But his administration has given data center developers millions in tax breaks, according to the Tampa Bay Times. The governor reportedly pushed to alter the state's tax exemption for data centers so it would only apply to hyperscale facilities.

As they tabled outside the library, Zirhut and her friends discussed DeSantis' prospective successors. "This is probably the most important governor's race of your lifetime," Belanger told me. She's also concerned about a DeSantis-backed ballot amendment that would eliminate property taxes for most homeowners, since it would deprive county governments of much-needed revenue — potentially making developments like data centers more enticing.

Zirhut and the others were disappointed by Rep. Byron Donalds, the Republican front-runner in the gubernatorial primary and a vocal supporter of data center construction in Florida. "I just don't understand why Trump would back him," one of them said.

"I'm not anti-data center. I'm pro having a plan," Donalds said in February. "Data centers are going to be a function of American life going forward." Donalds has said he wants to bring more outside investment to Florida — a comment that has since come back to haunt him. "My vision is to make Florida the financial capital of the world," he said at an event hosted by The Hill.

"That is not what we want here in Florida at all," Zirhut told me.

Donalds' support for data centers is now costing him supporters from his own party. Recent attack ads have focused on the support he's received from the tech industry, including more than $5 million in donations from Leading the Future, a $100 million pro-AI super PAC whose funders include Andreessen Horowitz and Joe Lonsdale of Palantir, according to the Tallahassee Democrat, as well as $500,000 from American Mission, which is itself funded by Leading the Future. Donalds appears to be staking out a middle ground between the industry that supports him and the voters whose support he needs to win the primary. On Monday, he announced legislation that would prevent data centers from driving up utility costs.

Widespread Opposition Across Florida

Opposition to data centers is widespread throughout the state. More than 20 counties and municipalities throughout the state have discussed or passed moratoria on data center construction, Politico reports. In some communities, the backlash has been strong enough to deter developers. In June, the sponsor behind a controversial data center proposal in Citrus County withdrew its plan to build an 800-acre data center in the community after the county commission approved a one-year moratorium on rezoning applications for data centers.

"Unfortunately, local moratoriums on data centers would send a signal that the area is closed for business, both for data centers and for other significant economic development projects," Dan Diorio, executive vice president of state policy and government affairs at the Data Center Coalition, an industry lobbying group, told The Verge. But that's exactly what Zirhut and other organizers want.

Zirhut explained that she's not anti-growth, but she doesn't want the government to give handouts to major developers who have no ties to the community. "If we could keep it local, with local builders, that would be fine because they know what to do with Florida," she said. "Even our agriculture commissioner — Wilton Simpson, a Republican — is having people come in and use herbicides and pesticides, spraying our lakes and killing all our vegetation." She's concerned about how AI can fuel mass surveillance, an issue that became especially salient after the Hernando County Sheriff's Office started installing them on local roads.

"We don't want people to lose jobs, and our country to be run by AI, and live like people in China, where our money is controlled and everything we do is looked at," she said.

Though Zirhut is a lifelong Republican, the data center issue — and the bigger question of development — has led to some unexpected political compromises for her.

"If Byron Donalds wins the primary, I'm voting Democrat. I will not vote for him," she told me, adding that she'd also be willing to vote for an independent candidate who opposed data centers. "I think a lot of people are like that. It's not about the party. It's not. It's about human life."

The Broader Context: Data Centers and American Communities

The protests in Florida are part of a larger national trend. As the demand for cloud computing and artificial intelligence explodes, tech giants like Amazon, Microsoft, and Google are racing to build massive data centers across the United States. These facilities consume enormous amounts of electricity and water, often straining local infrastructure and raising environmental concerns. In Virginia's "Data Center Alley," for example, residents have complained about noise, light pollution, and increased traffic. The environmental impact is significant: data centers account for about 1-2% of global electricity use, and that number is expected to rise as AI workloads grow.

Yet the economic benefits touted by developers—jobs, tax revenue, and investment—are often modest compared to the costs. Many data centers are highly automated and employ few permanent workers after construction. Local governments, eager for development, offer generous tax breaks that can reduce long-term revenue. Meanwhile, the facilities' massive energy demands can lead to higher electricity rates for residents and businesses, a point that has sparked anger in communities from Arizona to Oregon.

The bipartisan nature of the opposition is striking. In progressive areas, activists link data centers to climate change and environmental justice, arguing that they disproportionately impact low-income and minority neighborhoods. In conservative areas, the rhetoric focuses on national security, local control, and fears of government overreach. But beneath the surface, both sides share a deep skepticism of corporate power and a desire for more transparency and accountability from tech companies.

Humans First has attempted to channel this discontent into a political movement. While still small, the group has ambitious plans to expand its network of local chapters and influence Republican primaries. Kremer, the organization's leader, has long experience in grassroots organizing and sees the data center issue as a way to unite anti-establishment conservatives around a populist platform. Whether the movement can sustain momentum remains to be seen, but for the moment, it has given voice to a growing sense of betrayal among voters who feel that their leaders have sold out to big tech.

Back in Hernando County, Carol and the other protesters packed up their signs and tables as the morning wore on. A few passerby stopped to ask questions, and some signed the petition. Carol remains determined. "We have to protect our way of life," she said, adjusting her visor. The fight, she believes, is just beginning.

Source: The Verge News

New Features for Allergy Victims

The Weather Company announced an expansion of its Health & Wellness section, introducing what it calls an “enhanced allergy experience.” The update is now available for free on The Weather Channel app. It includes weather aggravator insights that analyze how factors like high winds or humidity make airborne allergens more troublesome. For instance, a breezy day can stir up pollen and mold spores, while high humidity can cause pollen grains to burst into smaller, more easily inhaled particles. The app’s daily forecast now shows expected peak pollen levels, helping users plan outdoor activities when allergen exposure is lowest.

Hyperlocal pollen forecasts, based on a user’s ZIP code, give a neighborhood-level view of allergen risk. The app displays simple graphics that compare today’s allergy risk to yesterday’s, making it easy to see if conditions are improving or worsening. Pollen tracking is also integrated into the five-day weather forecast, so users can glance at upcoming days to see how comfortable the week ahead will be. Additionally, the app offers a comparison of recent allergy forecasts against a decade of historical pollen count data in the user’s area, providing context for whether current levels are unusually high or typical for the season.

Premium Features Go Deeper

For those willing to pay $4.99 per month or $29.99 per year, The Weather Channel app unlocks a suite of premium allergy tools. Later this summer, premium subscribers will receive specific pollen species identification. Instead of a vague warning about “tree pollen,” the app will name the culprit—such as cedar, oak, or ragweed—helping users pinpoint exactly what they’re allergic to. Hourly pollen radar layers will show how pollen levels change throughout the day, and hourly pollen forecasts will cover the next 24 hours. A symptom tracker lets users log how they feel and correlate their symptoms with real-time allergen data, potentially revealing patterns useful for doctors or treatment adjustments.

How Weather Conditions Amplify Allergies

The science behind the new features is rooted in the complex relationship between weather and allergens. Pollen counts alone don’t tell the full story. High winds can carry pollen over long distances, increasing exposure even in areas with moderate local counts. Rain typically washes pollen out of the air, providing temporary relief, but it can also promote mold growth afterward. Humidity affects how long pollen stays airborne and how deeply it penetrates the respiratory system. The Weather Channel’s weather aggravator insights combine these variables to create a more accurate risk profile. For example, a day with low pollen count but strong winds might still trigger severe symptoms in sensitive individuals.

Benefits for Allergy Sufferers

The update is a significant step forward for those who struggle with seasonal allergies. Traditional pollen forecasts often rely on regional data that may not reflect local conditions. By offering hyperlocal forecasts and accounting for weather dynamics, the app gives users actionable information to manage their health. Allergy sufferers can decide whether to take medication before heading out, adjust their exercise schedule, or close windows during high-wind periods. For families, knowing when peak pollen hours occur can help plan children’s outdoor playtime. The historical comparison feature also helps users track how their allergy season has changed over years, which may be useful for understanding the effects of climate change on pollen seasons—many studies show longer and more intense allergy seasons due to warmer temperatures.

Comparison with Other Weather Apps

Several other weather apps offer allergy indices, but few integrate weather mechanics as deeply. For instance, WeatherBug and AccuWeather include allergy risk levels, but they rarely break down the influence of wind or humidity in real time. The Weather Channel’s premium tier, with species identification and hourly radar, goes further than most competitors. However, the paywall may be a barrier for some users. The free version still provides substantial value with the new weather aggravator insights and hyperlocal forecasts, making it a strong choice for casual users. The addition of historical data is also unique, giving users a decade-long perspective that no other mainstream app currently offers.

Data Sources and Accuracy

The Weather Company relies on a combination of data sources to power its allergy forecasts. These include ground-based pollen monitoring stations, weather satellite data, and proprietary models that simulate pollen dispersion. The company claims its hyperlocal forecasts are accurate down to the ZIP code level, though actual pollen counts can vary based on microclimates and local vegetation. The premium species identification feature uses a database of regional pollen-producing plants and their flowering seasons. While no forecast is perfect, the app’s integration of weather aggravators should reduce the number of false low-risk days where symptoms unexpectedly spike.

What This Means for Public Health

Allergies affect more than 50 million Americans annually, according to the Asthma and Allergy Foundation of America. Indirect costs from lost productivity and doctor visits are significant. By providing more precise allergy predictions, The Weather Channel app could help users reduce exposure and better plan medication use. Public health officials may also find the data useful for issuing regional allergy alerts. The app’s symptom tracker, while voluntary, could generate valuable crowdsourced data for researchers studying allergy patterns. As climate change continues to alter pollen seasons, tools like this will become increasingly important for adapting daily life.

In summary, The Weather Channel app’s enhanced allergy experience transforms a simple pollen count into a dynamic, weather-informed risk assessment. Free users gain immediate benefits, while premium subscribers get deeper personalization. Whether you’re a chronic allergy sufferer or just occasionally sneezy, this update offers a smarter way to navigate allergy season.

Source: The Verge News

Program Structure

Apple Upgrade will operate similarly to a car lease, offering fixed monthly payments over a set term. For iPhones and Apple Watches, the lease term will be 24 months, while iPads and Macs will have 36-month leases. At the end of the lease, customers will have three options: upgrade to a new device early, keep the device and continue paying (or own it outright after a final payment), or return the device with no further obligation. Early upgrades will be allowed before the lease term ends, similar to the current iPhone Upgrade Program's policy of upgrading after 12 months.

The program will be backed by Klarna, the Swedish fintech company known for its buy-now-pay-later services. Klarna will act as the financial partner, handling credit checks and loan origination. Applicants will need to pass a soft credit check to qualify, which does not affect their credit score. The monthly payment amounts will vary based on the device model, storage capacity, and lease term.

Eligible Devices

Not all Apple products will qualify for Apple Upgrade. The program will be available for most new iPhones (excluding the budget iPhone 16), most Macs (excluding the fast-selling MacBook Neo), most iPads (excluding the base model), and most Apple Watches (excluding the Apple Watch SE). This exclusion of lower-cost devices suggests that Apple aims to use the leasing program primarily for its premium, higher-margin products. The current iPhone Upgrade Program, which is being replaced, only covered iPhones and required enrollment in AppleCare+. Under the new program, AppleCare+ will not be included, and customers who want coverage will need to purchase it separately. Apple recently increased the price of AppleCare+ subscriptions, adding to the overall cost of ownership.

Context: Rising Prices and Changing Consumer Behavior

The launch of Apple Upgrade comes just one month after Apple raised prices on nearly all of its product lines, including Macs, iPads, and Apple Watches. The iPhone was notably absent from that round of price increases, but industry analysts expect that the upcoming iPhone 18 Pro series—slated for release later this year—could set new price records. The escalating cost of components, particularly RAM and flash storage, has forced Apple to adjust its pricing strategy. By introducing a leasing model, Apple may be trying to make its devices more accessible to consumers who are deterred by high upfront costs. Leasing lowers the initial financial barrier and allows customers to pay over time while enjoying the latest technology. This model has been successful in the automotive industry and is now gaining traction in consumer electronics.

Comparison with the Current iPhone Upgrade Program

The current iPhone Upgrade Program, introduced in 2015, allowed customers to pay for a new iPhone over 24 months with the option to upgrade after 12 months. It included AppleCare+ and was essentially an installment loan with a trade-in option. Apple Upgrade expands this concept to more device categories and introduces a true lease structure where the device is returned at the end of the term unless the customer chooses to buy it out. Unlike the old program, Apple Upgrade does not automatically bundle AppleCare+, giving customers more flexibility but also potentially higher out-of-pocket costs for repairs. The partnership with Klarna also marks a shift away from Apple's previous reliance on Citizens Bank or its own financing arm.

Potential Impact on the Market

If Apple Upgrade is successful, it could reshape how consumers purchase high-end electronics. Leasing offers predictable monthly costs and eliminates the hassle of selling used devices. For Apple, it provides a steady revenue stream and encourages customers to stay within the Apple ecosystem. Customers who lease are more likely to upgrade frequently, which boosts sales of new devices and accessories. Additionally, the returned devices can be refurbished and resold, generating a secondary market. However, the exclusion of budget models may limit the program's reach to more affluent consumers. Competitors like Samsung and Google offer trade-in programs and financing, but full leasing programs are rare in the smartphone market. Apple's move could pressure other manufacturers to offer similar options.

Technical and Logistical Considerations

Implementing a nationwide leasing program requires a robust infrastructure for inventory management, credit checks, and device returns. Apple already has a strong retail network and online store, which will serve as the primary channels for enrollment. Customers will be able to sign up in-store or online, and Klarna will handle the financial backend. The soft credit check ensures that only qualified customers participate, reducing the risk of defaults. Returned devices will need to be inspected, data wiped, and refurbished to like-new condition. Apple has extensive experience with refurbishment through its certified refurbished store, so this should not be a major hurdle. The program may also be integrated with Apple's trade-in system, allowing customers to trade in an existing device to lower the monthly lease payment.

Consumer Considerations

For consumers, the key advantage of Apple Upgrade is lower upfront costs and the ability to upgrade more frequently. However, leasing may cost more in the long run compared to buying outright or using 0% financing, because you never own the device unless you pay the buyout fee. Additionally, there may be fees for early termination, excessive wear and tear, or loss of the device. Customers should read the lease agreement carefully to understand their obligations. The absence of AppleCare+ means that any accidental damage will be the customer's responsibility, potentially leading to costly repairs. On the other hand, leasing protects against rapid depreciation—since you don't own the device, you don't lose value when a new model comes out.

Industry Reactions

Analysts have mixed reactions to the news. Some see it as a logical step for Apple to maintain growth in a saturated smartphone market. Others worry that leasing could encourage consumers to upgrade more often than they need, contributing to electronic waste. Apple has made environmental commitments, including a goal to become carbon neutral by 2030, and leasing could help by ensuring devices are returned for refurbishment rather than discarded. However, the program's success will depend on pricing. If monthly payments are too high, consumers may prefer to buy older models at a discount. The upcoming iPhone 18 Pro series will be a key test, as it is expected to be the most expensive iPhone yet. Apple Upgrade could make it more accessible to a wider audience.

As the launch date approaches, more details are likely to emerge about specific pricing, terms, and availability. Apple has not officially confirmed the program, but the report aligns with the company's recent moves to increase services revenue and customer retention. If the rumor proves true, Apple Upgrade will represent a significant shift in how Apple sells its hardware, potentially setting a new standard for the industry.

Source: The Verge News

The Garmin Cirqa is priced at $199.99 and is available now through the company’s online store. It comes with an adjustable fabric strap in several color options, including french gray, mauve, captain blue, and black, and can be worn either on the wrist or as an armband. This makes it suitable for a variety of users, from athletes who prefer a traditional wrist-based tracker to those who want a less obtrusive armband during sleep or workouts.

Under the hood, the Cirqa packs a powerful combination of sensors. A heart rate monitor, pulse oximeter for blood oxygen saturation (SpO2), skin temperature sensor, and a motion accelerometer work together around the clock to capture a wealth of health data. The skin temperature sensor is particularly noteworthy, as it can be used to detect subtle changes that may indicate illness, stress, or, for women, menstrual cycle phases. Garmin claims that the Cirqa can help with “better period predictions and past ovulation estimates” through continuous skin temperature tracking.

One of the standout features of the Cirqa is its focus on battery life. By omitting a screen, Garmin has managed to achieve up to 10 days of use on a single charge. In contrast, many screen-based fitness trackers require charging every few days. The Cirqa’s battery life is comparable to the Whoop 5.0, which also lacks a screen and boasts an extended battery life of up to five days (with subscription), but the Garmin device goes further. The charging method itself is simple, using a proprietary clip that attaches to the band’s sensor module. While wireless charging would have been a welcome addition, the clip-on charger is compact and reliable.

Activity tracking on the Cirqa is comprehensive. The device can monitor more than 80 different activities, from common exercises like running, cycling, and yoga to more niche pursuits like paddleboarding and strength training. Users can select activities directly through the accompanying Garmin Connect app on their smartphone. Alternatively, a single side button on the band can be programmed as a shortcut to a favorite activity, allowing users to start a workout without needing to pull out their phone. The button also serves as the primary physical control for turning on the device, checking status via haptic feedback, and ending sessions.

The Garmin Connect app is the central hub for all the data collected by the Cirqa. Through the app, users can view detailed training progress, including the effectiveness of each workout based on metrics like heart rate zones, calorie burn, and exercise load. The app also provides a “Body Battery” feature that estimates your energy reserves throughout the day, helping you decide when to push harder or when to rest. Sleep tracking is another core feature, with the Cirqa providing a nightly breakdown of sleep stages (light, deep, REM), breathing rate, and heart rate variability, all contributing to an overall sleep score. This score can be compared over time to identify patterns and improve sleep hygiene.

Health monitoring extends beyond workouts and sleep. The Cirqa continuously tracks heart rate and blood oxygen saturation, even during the night. The SpO2 sensor can alert users to potential respiratory issues, such as asthma or sleep apnea, although Garmin emphasizes that the device is not a medical tool and should not be used for diagnosis. Skin temperature data adds another layer, helping to detect fever or other systemic changes. For women, the integration of skin temperature with menstrual cycle tracking provides a non-invasive way to predict periods and estimate ovulation.

In terms of competition, the Garmin Cirqa enters a market that is increasingly trending toward screen-free or minimalist wearables. The Whoop 5.0, for example, requires an annual subscription starting at $199 per year, which covers access to its advanced analytics and coaching features. Over time, that adds up significantly. Google’s Fitbit Air, priced at just $99, offers a more affordable entry point but also has an optional $99-per-year Google Health Premium subscription that unlocks advanced features like deeper sleep insights and personalized health recommendations. The Cirqa, at $199.99 with no subscription fees, sits in the middle ground—more expensive upfront than the Fitbit Air, but cheaper in the long run than Whoop, especially for users who plan to keep the device for a year or more. Additionally, unlike the Fitbit Air, the Cirqa does not lose any core functionality without a subscription; everything is included out of the box.

Garmin’s history in the fitness tracking space is well established. The company has been making GPS watches and activity trackers for decades, developing a reputation for accuracy and durability. With the Cirqa, Garmin is appealing to users who want serious fitness and health data without the distractions of a screen. This niche has gained momentum in recent years, as many users report feeling overwhelmed by constant notifications, smartwatch alerts, and the pressure to constantly engage with their devices. Screen-free trackers like the Cirqa, Whoop, and Fitbit Air allow users to stay connected to their health metrics while disconnecting from digital noise.

The Cirqa’s design is understated and functional. The band is made from a soft, breathable fabric that is comfortable for all-day and all-night wear, and the sensor module is small and lightweight. Water resistance is rated at 5 ATM, meaning it can withstand swimming and showering. The device uses Bluetooth to sync data with the Garmin Connect app, which is available for both iOS and Android. The app itself is feature-rich, offering not only detailed analytics but also social features like challenges and leaderboards, as well as integration with third-party platforms such as Strava, MyFitnessPal, and Apple Health.

Battery life is one of the Cirqa’s strongest selling points. In typical mixed usage, users can expect about 10 days of use before needing to recharge. This is made possible by the low-power sensors and the lack of a display. For comparison, the Fitbit Air claims up to 10 days as well, while Whoop’s 5.0 lasts about 5 days. The Cirqa’s battery performance is impressive and means users can wear it continuously without worrying about frequent charging. The charging process takes roughly one to two hours to fully recharge the device.

Overall, the Garmin Cirqa is a compelling option for anyone who values deep health and fitness data but prefers to leave their smartphone in their pocket. It offers a robust set of sensors, long battery life, and a no-subscription pricing model that makes it cost-effective over time. While it lacks a screen, the single button and companion app provide all the necessary interaction. For athletes, health-conscious individuals, and those seeking to reduce screen time, the Cirqa represents a well-rounded alternative to both subscription-locked trackers and feature-packed smartwatches. With multiple color options and a comfortable fit, it is designed to be worn day and night, capturing every step, heartbeat, and moment of rest.

Source: The Verge News

Nvidia, once a niche chipmaker and now the world's most valuable company, boasts that its “gaming breakthrough” in 1999 laid the foundation for modern GPUs. But the same hardware that enables immersive video games and AI chatbots also consumes vast resources at every stage of its life. “There are massive hardware developments that start because of games,” says Catherine Flick, a professor of ethics and games technology at University of Staffordshire. “All these sorts of things that have quite significant ethical issues, a lot of these start with games.”

The GPU's journey from raw materials to data center to landfill is fraught with environmental harm. Mining for copper, tin, and other metals often leads to acid drainage that contaminates water sources. Semiconductor fabrication uses toxic chemicals—including per- and polyfluoroalkyl substances (PFAS), known as “forever chemicals”—and has left a legacy of Superfund sites in Silicon Valley. And once deployed, GPUs in data centers guzzle electricity and water, while their manufacture releases greenhouse gases and air pollutants.

Now, with AI driving an unprecedented demand for GPUs, these impacts are accelerating. In the United States, data centers are being built at a feverish pace, often in neighborhoods already burdened by pollution. The NAACP has sued xAI (now doing business as SpaceXAI) over air pollution from gas generators at its data centers. “It’s not happening in some faraway country, but in the same places where big American tech companies are courting more affluent consumers,” notes one environmental journalist.

Hitting Close to Home

While GPUs have been around for decades, AI has thrust them into the spotlight in a way that directly affects Americans. The US has more data centers than any other country, and many more are planned. As tech companies race to expand a new generation of hyperscale facilities, communities are grappling with the prospect of having these hulking warehouses as neighbors.

Some venture capitalists have blamed AI's slow consumer uptake on bad press about its environmental impact. But that argument draws skepticism. “Isn’t it nice to have the environment as a scapegoat?” Flick says. Ashley Striblet, a product strategist who works in consumer AI, adds that many people understand the environmental costs of fast fashion or consumer technology but still buy those products because they see value. “I think most people know that ordering clothes from Shein or Amazon is not the most environmentally conscious thing to do. The cost savings from buying cheap clothes turn out to be enough of a tradeoff.” With AI, however, consumers haven't yet seen the benefits that CEOs promise. “It’s just rubbish what they’re saying that their technology can do,” Flick says. “It’d be nice if we all had personalized butlers, but how do you get from point A to point B? It’s not with what we’ve got.”

Meanwhile, the costs are becoming visible. Data centers raise utility bills and create pollution, hitting low-income neighborhoods and communities of color hardest. The NAACP has warned tech companies to “be on alert” as it helps local groups mount campaigns.

Growing Globally, Impacting Locally

Shaolei Ren, an associate professor at UC Riverside, has seen the costs communities pay. Growing up in a coal-mining region of northern China, he remembers keeping windows shut to keep out black carbon and storing water in tanks to ration throughout the day. Now he studies data centers' impact on air quality and water resources—costs invisible each time a user enters a query into a chatbot.

“The energy needed to train a model like Meta’s Llama 3.1 can produce as much air pollution as driving from New York City to Los Angeles and back 10,000 times,” Ren and colleagues estimated in a preprint study. Public health costs from AI adoption could reach over $20 billion by 2028, with 1,300 premature deaths annually from air pollution by 2030. For comparison, gaming in the US uses about 34 terawatt-hours (TWh) per year, while AI servers in data centers already consume over 40 TWh and could grow to between 165 and 326 TWh by 2028.

Water is another hidden cost. AI was estimated to use between 312.5 billion and 764.6 billion liters of water in 2025—comparable to global bottled water consumption. The demand is “spikey,” Ren notes, with data centers using 6 to 10 times more water during peaks, and some massive projects needing up to 30 times more. Meeting peak water demand through 2030 could cost $10 billion, burdening underfunded community water systems.

From the Cradle

To understand GPUs' full environmental impact, researchers like Sophia Falk and David Ekchajzer have thrown tens of thousands of dollars' worth of chips into industrial blenders. Their work reveals the material footprint: an Nvidia A100 is 90% heavy metals, primarily copper. Training GPT-4 could require up to 8,800 A100 GPUs, ultimately extracting and discarding up to 7 tons of toxic elements. The GPU chip itself dominates 10 of 16 environmental impact categories, with manufacturing accounting for most public health risks from toxic chemicals and nearly all cancer risk.

Chip manufacturing has left a toxic legacy. Santa Clara County has more Superfund sites than any other US county due to chemical leaks. Some chemicals linked to miscarriages were phased out in the US in the 1990s, but manufacturing moved to Asia, where similar health risks emerged later. Now generative AI is driving a rush to build new fabs, including TSMC's Arizona facility producing Blackwell chips. The energy consumed by AI chipmaking jumped 350% from 2023 to 2024, with a fourfold rise in carbon pollution.

In Phoenix, residents like Cheryl Orosco worry about forever chemicals contaminating water sources. “It’s terrifying,” she says. “This is our forever home.”

To the Grave

Alex de Vries-Gao, who tracked crypto mining's energy use on Digiconomist, now focuses on AI's e-waste. He estimates AI servers could create between 0.131 million and 0.225 million tons of e-waste each year by 2030—comparable to a country like Denmark. Only 22% of global e-waste is collected and recycled. The rest enters the informal sector, often in lower-income countries where workers manually dismantle electronics without protection. AI servers contain valuable materials like gold, silver, and platinum, but also toxic lead and chromium. Around 58% of AI e-waste comes from North America, but the US has not ratified the Basel Convention limiting hazardous waste trade, allowing e-waste to be shipped abroad.

“Whether you’re talking about crypto miners or big tech companies, they don’t take responsibility,” de Vries-Gao says.

Gaming Out the Way Forward

Researchers stress that while data centers account for only 1.5% of global electricity, their exponential growth demands scrutiny. “If we want to electrify the transport system, it is being jeopardized by the fact that we are using additional electricity for AI rather than for transport,” Ekchajzer says. The question is whether generative AI's benefits outweigh societal costs. “Generative AI is totally one of those classic solutions looking for a problem,” Flick says.

Solutions include extending GPU lifespans, downcycling obsolete cards, and designing more efficient chips. Nvidia’s Blackwell Ultra is 50 times more efficient than its Hopper predecessor. But efficiency can backfire if it encourages even more resource use. “I have a question of sufficiency: where do we stop?” Falk asks.

Environmental groups want more accountability. Greenpeace East Asia pushes Nvidia to clean its supply chain, noting that the company avoids public scrutiny despite a $4 trillion market cap. Meanwhile, gamers—who are often more engaged with climate action—could advocate for sustainability. “Games are very powerful tools for narrative and telling stories, and shaping how people think about things,” Flick says.

Ultimately, addressing consumer concerns means “directly address and be empathetic to consumers’ concerns, so that you’re able to actually develop the solutions,” Striblet says. The path forward requires balancing AI's promise with the real-world costs that communities bear today.

Source: The Verge News

The company developed two components for the new display technology. One of them is a titanium alloy film that sits beneath the OLED panel, giving the display 20 times greater mechanical stiffness. Underneath that is a titanium plate, which provides stable support when the device is unfolded and retains the flexibility the phone needs to withstand repeated folding. The new titanium plate eliminates 'air gaps between the module and [its] adhesive through advanced hole processing technology.' Kyung-Jin Yoo, EVP for Samsung Display, said the 'micro-patterned holes' in the folding section of the titanium plate provide 'flexibility with robust durability.'

We only have a few days left before we can see for ourselves whether the next generation of Samsung devices truly have less visible folds. At CES earlier this year, however, we did see Samsung's 'seamless' foldable display exhibit, which showed a device with an invisible crease at the center. It made the Samsung phone with an older display tech, showcased beside it, look messy by comparison, with a very visible crease. 9to5Google also spotted a leaked video of what's purported to be the Galaxy Z Fold 8 Ultra, which shows a very smooth screen that has no visible crease.

Background: The Evolution of Foldable Displays

Samsung has been at the forefront of foldable smartphone technology since the launch of the original Galaxy Fold in 2019. That first generation featured a plastic display that was prone to scratches and had a pronounced crease down the center. Over subsequent years, the company refined its Ultra Thin Glass (UTG) panels, improved hinge mechanisms, and introduced water resistance. The Galaxy Z Fold 3 brought an under-display camera, while the Fold 4 and Fold 5 focused on durability and weight reduction. The Fold 6 and Fold 7 further enhanced the hinge and display layers to minimize the crease, but it never completely disappeared. With the Flex Titanium technology, Samsung aims to achieve that long-sought-after invisible fold.

The Science Behind Flex Titanium

The key innovation lies in the use of titanium—a material known for its high strength-to-weight ratio and corrosion resistance. The titanium alloy film below the OLED is just a few micrometers thick but provides 20 times the mechanical stiffness of previous support layers. This stiffness reduces the microscopic buckling that creates the crease when the display is folded. The titanium plate below that film is laser-cut with hundreds of tiny holes in the folding region, allowing the plate to bend without cracking while still offering firm support. These holes also eliminate trapped air, which previously caused visible distortions and uneven pressure on the OLED. The result is a display that not only looks flatter but also withstands more folding cycles—Samsung claims a lifespan of over 200,000 folds, equivalent to about 100 folds per day for five years.

Implications for the Galaxy Z Fold 8 and Flip 8

The Flex Titanium display is expected to be a core feature of the upcoming Galaxy Z Fold 8 and Z Flip 8. The Fold 8 is rumored to have a wider front cover display, a larger main screen, and a more powerful processor—likely the Exynos 2500 or Snapdragon 8 Gen 4 in select markets. The Flip 8 may see a battery capacity increase and a refined camera system. But the display technology will be the headline feature, as it directly addresses the biggest complaint among foldable users: the crease. A smooth, crease-free display could convince more consumers to switch from traditional slab phones to foldables. Samsung is also expected to use the same technology in its Galaxy Z Fold 8 Ultra model, which might have a thinner profile and a lighter weight thanks to the titanium components.

Industry Reactions and Comparisons

Competitors like Google, with its Pixel Fold, and OnePlus, with its Open series, have made strides in reducing crease visibility, but none have yet achieved an invisible fold. Huawei's Mate X series uses an outward-folding design that avoids a crease altogether, but that design leaves the screen exposed. Samsung's approach—keeping the foldable display protected inside the device while nearly eliminating the crease—could set a new benchmark. Tech analysts have responded positively to the leaked video, noting that if the production units match the prototype shown at CES, Samsung will leap ahead in the foldable market. Some experts also point out that the titanium materials could make the devices more expensive, but that premium may be justified by the improved durability and user experience.

What to Expect at Unpacked 2026

Samsung's next Unpacked event is scheduled for July 22, 2026, and will be held at the Seoul Olympic Stadium. In addition to the Galaxy Z Fold 8 and Flip 8, the company is expected to launch the Galaxy Watch 7 series, the Galaxy Buds 3 Pro, and possibly the Galaxy Ring. The event theme, 'Join the Fold Side,' suggests a strong focus on foldables. Samsung is also expected to showcase its One UI 7.1, which will include new multitasking features optimized for the larger foldable screens. The Flex Titanium display will be the star of the show, and early hands-on impressions will be crucial in determining whether Samsung has finally solved the crease problem.

The development of Flex Titanium also reflects Samsung's broader strategy to invest in premium materials. The company has been using titanium in its Galaxy S24 Ultra and Galaxy S25 Ultra frames, offering improved drop protection. Extending titanium to the display layer is a natural progression. Samsung Display, the subsidiary responsible for the panels, has been working on this technology for over three years, and its adoption in the foldable lineup signals a maturation of the foldable smartphone category. As the market for foldables grows—expected to reach 100 million units by 2028—Samsung aims to maintain its dominant position by offering the best display quality and durability.

Source: Engadget News

Unsurprisingly, older phone models are often the ones you'll find on sale. The siren song of a good deal is hard to resist, but that's exactly what you have to do. Before you throw your money at a phone like you're throwing confetti at a parade, you need to check its expiration date because there are loads of smartphones that are in their last year of software support. That means the phone will soon lose access to updates, and your data may become more vulnerable to newly discovered security threats.

Updates Are Annoying, But Necessary

Your smartphone probably handles your banking, your health data, work emails, and definitely all your personal conversations. So here's a question: when did your phone last receive a security update?

Most phones get those annoyingly persistent push notifications for system updates that somehow always land when you have insufficient battery or you absolutely cannot leave the phone alone for the few minutes it takes to run the update. But as annoying as these notifications are, it's bad news when they don't show up anymore. Manufacturers don't always broadcast when support is about to expire. But once a phone stops receiving updates, it also stops receiving patches for newly discovered security vulnerabilities. And then all your sensitive information could be in danger.

Many phones reach the end of software support sooner than most people expect. And when they do, it doesn't mean your phone stops working. It just means the manufacturer has stopped pushing security patches and OS upgrades to your device. Any vulnerability that gets discovered from that day forward opens up your phone to the risk of your financial and private data being stolen.

When Updates Come to an End

Security researchers and cybercriminals alike are constantly digging for new vulnerabilities in all sorts of software, including mobile operating systems. When vulnerabilities are discovered, manufacturers release patches. Once software support ends, newly discovered vulnerabilities may no longer be patched.

Beyond security, end of life phones get frozen in time. New Android and iOS features aren't coming. At some point, apps also stop supporting older OS versions, so you're left unable to use key tools and features.

Even if you manage the security risks and go without certain apps, aging unsupported smartphones tend to struggle with app requirements. Performance tends to degrade as apps are optimized for newer hardware and software.

How Samsung Handles Software Support and What Models Are Nearing End of Life

Samsung's support policy varies quite a bit depending on the device tier. Galaxy devices get up to seven years for flagship models, but mid-range models will max out at five or six years, depending on model, while budget phones get up to four years of support. Here are the Samsung models that will reach end of life before the end of 2027:

• Samsung Galaxy A14 (launched May 2023) — Android updates ended May 2025, security updates end May 2027
• Samsung Galaxy A54 5G (launched March 2023) — Android updates end March 2027, security updates end May 2027
• Samsung Galaxy S23, S23+, S23 Ultra (launched February 2023) — Android updates end February 2027, security updates end February 2028
• Samsung Galaxy Z Fold4, Z Flip4 (launched August 2022) — Android updates end August 2026, security updates end August 2027
• Samsung Galaxy A53 5G (launched April 2022) — Android updates ended April 2026, security updates end April 2027
• Samsung Galaxy S22, S22+, S22 Ultra (launched February 2022) — Android updates ended February 2026, security updates end February 2027
• Samsung Galaxy S21 FE 5G (launched January 2022) — Android updates ended January 2026, security updates end January 2027
• Samsung Galaxy Z Fold3, Z Flip3 (launched August 2021) — Android updates ended August 2025, security updates end August 2026

How Google Handles Software Support and What Models Are Nearing End of Life

Google has improved its support commitment over the years. According to the company's official Pixel support page, Pixel 8 and later devices receive 7 years of OS and security updates from the date they first became available. Older devices, however, only receive 5 years of OS and security updates. Depending on their release dates, several of these models are entering their final years of support. Here are the models that will reach end of life before the end of 2027:

• Google Pixel 7 Pro (launched October 2022) — reaches end of life (EOL) in October 2027
• Google Pixel 7 (launched October 2022) — reaches EOL in October 2027
• Google Pixel 6a (launched July 2022) — reaches EOL in July 2027
• Google Pixel 6 Pro (launched October 2021) — reaches EOL in October 2026
• Google Pixel 6 (launched October 2021) — reaches EOL in October 2026

The Google Pixel 2, 3, 4, and 5 lineups are already no longer receiving updates.

How Motorola Handles Software Support and What Models Are Nearing End of Life

Motorola's commitments to support their products are a lot more limited than what we've seen with Google and Samsung. Traditionally, most Motorola devices only received security updates for 2 or 3 years, with most models only receiving one major Android OS upgrade. Earlier this year, after the European Union demanded at least 5 years of security updates, Motorola improved its policy for its newer devices. Motorola managed to find some loopholes, however, and it won't promise to deploy Android updates on top of the security patches. Here are the models that will reach end of life before the end of 2027:

• Moto G (launched December 2024) — reaches EOL in December 2027
• Moto G Stylus 5G (launched May 2024) — reaches EOL in May 2027
• Motorola Edge 2024 (launched May 2024) — reaches EOL in May 2027
• Moto G Power 5G (launched May 2024) — reaches EOL March 2027
• Moto G 5G (launched March 2024) — reaches EOL March 2027
• Moto G Play (launched January 2024) — reaches EOL January 2027
• Motorola Razr (launched September 2023) — reaches EOL September 2027
• Motorola Razr+ (launched June 2023) — reaches EOL June 2027
• Motorola Edge+ (launched May 2023) — reaches EOL May 2027

How Apple Handles Software Support and What Models Are Nearing End of Life

Apple does things a bit differently and the company doesn't explicitly publish end of life dates the way Android manufacturers do, but they do have a classification system. Vintage products are those Apple has stopped distributing for sale more than 5 years ago, but less than 7 years ago. Obsolete products are those Apple stopped distributing more than 7 years ago.

iPhones typically receive iOS updates for 5-7 years after launch, so if your iPhone is approaching the 5-year mark since its release (not when you bought it), it's worth checking whether it's still listed as compatible with the latest iOS version. iOS 27 is coming this fall and it can run on phones as old as iPhone 11, which was released in September of 2019. Generally, it will be compatible with all phones that support iOS 26. Apple Intelligence features, however, are only supported on the iPhone 15 Pro/Pro Max and later.

Therefore, iPhone SE from 2020, iPhone 11, 11 Pro, and 11 Pro Max will likely get their final update with iOS 27, while the iPhone 12 and 13 lineups probably have a couple more years of updates in them.

In the years to come, however, as Apple puts on the focus on Apple Intelligence, the company could start dropping support on older models sooner due to performance and RAM demands.

Older iPhones may not get new OS updates, but Apple still sends security patches their way. In May 2026, Apple rolled out security-focused updates for iOS 15 through iOS 18, extending support to several iPhone models. Even the iPhone 6s, first released in September 2015, got an update, along with the first-generation iPhone SE, all iPhone 7 models, all iPhone 8 models, the iPhone X, all XS models, and the iPhone XR.

What to Do If Your Phone Is Nearing End of Support

You probably shouldn't buy any of the phones above no matter how affordable they are, but what if you already own one of these? Plenty of people keep using unsupported phones for months or years after their end of life because upgrading can be expensive or simply because "it's still working just fine." If either of these is the case for you, here's what you should do:

• Keep updating your apps for as long as possible.
• Avoid connecting to unsecured public Wi-Fi networks.
• Don't install apps from outside the official app store, and generally be selective even when picking them from there.
• Be extra cautious about links you get in emails or messages.

Ultimately, however, the best advice is to upgrade to a newer model as soon as the budget allows.

Your smartphone is one of the most personal devices you own, filled with data that you want to keep as secure as possible. While each brand handles support differently, it's important that your phone — be it one you just bought or one you've owned for a while — gets security updates. An unsupported phone is a liability, not just an inconvenience. Knowing where your device stands is one of the best steps you can take to protect your data. After all, the only thing worse than seeing that persistent "update available" notification is realizing it'll never pop up again.

Source: Engadget News

But as with all new Apple Intelligence features, the rollout is tied to hardware compatibility. Only devices that support the full Apple Intelligence suite will receive the Siri AI upgrade when iOS 27 is released to the public this fall. This means every iPhone from the iPhone 15 Pro onwards is eligible, including the iPhone 16 series, iPhone 17 series, and the upcoming iPhone 18 models. iPad and Mac owners are also covered, provided their device is powered by Apple silicon (M1 or later). The 2024 iPad mini is also supported because it uses the A17 Pro chip, which is equivalent to the SoC in the iPhone 15 Pro. For users unsure about their device's compatibility, Apple suggests launching the Settings app and scrolling down to look for the Apple Intelligence & Siri section. If it appears, your iPhone will receive the AI-powered Siri upgrade.

Interestingly, Apple has confirmed that the new assistant will initially launch as a beta feature. Much like the iOS 27 developer beta, users will likely need to manually opt in and join a waitlist to access Siri AI. This cautious approach mirrors Apple's previous rollouts of advanced AI features, allowing the company to gather feedback and fine-tune performance before a wider release. Fortunately, compatibility with iOS 27 itself is broader. Apple is extending iOS 27 support all the way back to the iPhone 11, meaning older iPhones will get the latest operating system but not the Siri AI capabilities unless they meet the Apple Intelligence hardware requirements.

Newer iPhones get a more customizable Siri AI

The Siri AI experience will vary depending on the hardware. All compatible iPhones will benefit from the core improvements: better context understanding, the ability to reference personal data, and faster on-device processing thanks to the newer Apple Foundation Models. These models are stored locally on the device, which improves both response times and privacy. For more complex prompts that require greater computational power, Apple uses Private Cloud Compute to offload processing to cloud servers. Apple claims that this system ensures that user data remains inaccessible to anyone else, including Apple itself, through end-to-end encryption and verifiable transparency.

However, iPhone 17 Pro, iPhone 17 Pro Max, and the new iPhone Air will have access to an even more powerful on-device model. This hardware advantage enables expressive voices for Siri, improved speech recognition, and more accurate dictation. The enhanced model also allows for smoother multitasking and the ability to handle more simultaneous commands without cloud dependency. For users considering an upgrade, these exclusive features may be a compelling reason to choose a Pro or Air model over the standard iPhone 17.

Looking ahead, the upcoming iPhone 18 Pro and the rumored iPhone Fold are also expected to support the most powerful on-device AI models. However, there is uncertainty about whether the base model iPhone 18 will join them. Analyst Ming-Chi Kuo has reported that Apple is looking to increase the memory in non-Pro iPhones to 9GB, but the company has stated that the most powerful on-device AI models require at least 12GB of RAM. This disparity suggests that the base iPhone 18 might not run the full Siri AI model, potentially limiting some features like expressive voices or real-time dictation. As Apple continues to refine its AI strategy, it is possible that future software optimizations could lower the RAM requirement, but as of now, the 12GB threshold seems firm.

It is worth noting that the Apple Intelligence suite has had a rocky start. Features like notification summaries, image generation, and smart replies have often felt gimmicky or incomplete. Users have criticized them for being inconsistent and occasionally inaccurate. In contrast, Siri AI appears to be the first genuinely useful addition to the platform. Even in the beta versions currently being tested, the virtual assistant demonstrates a remarkable ability to understand conversational context and execute multi-step requests. For example, users can ask Siri to "find the email from my boss about the project deadline, add the due date to my calendar, and send a reminder to Sarah," and the assistant handles it seamlessly. This level of integration with Apple's native apps and services makes Siri AI a powerful productivity tool.

Beyond the immediate improvements, the introduction of Siri AI marks a significant shift in Apple's approach to artificial intelligence. The company has historically been conservative about data collection and on-device processing, but with the Apple Foundation Models and Private Cloud Compute, it is striking a balance between privacy and performance. This could pave the way for even more ambitious AI features in future iOS releases, such as proactive suggestions based on user habits, deeper third-party app integration, and possibly a new generation of AI-powered accessories.

For consumers, the key takeaway is that the new Siri AI will dramatically change how they interact with their iPhones, but only if they have compatible hardware. Those on older iPhones may want to consider upgrading to a model from the iPhone 15 Pro or later to take full advantage of the upcoming features. Similarly, prospective iPad and Mac buyers should ensure they choose a device with Apple silicon. As Apple continues to iterate on its AI capabilities, the gap between compatible and non-compatible devices is likely to widen, making hardware decisions more crucial than ever for users who value advanced virtual assistant functionality.

Source: Engadget News

The code strings found in version 26.30.00.950492155 of the Google Maps beta explicitly reference Personal Intelligence and explain how it will work. One string reads: "Supercharge Maps with Personal Intelligence" and another says: "Personal Intelligence now supercharges your Maps experience." These are clear indicators that Google is actively developing this integration. Additional strings provide more detail: "Get info about your reservations, flights, and more by connecting Maps and other Search services to your Google content apps, like Google Workspace and Google Photos. You're in control and can change this anytime."

What is Gemini Personal Intelligence?

Gemini is Google's advanced AI assistant, designed to compete with ChatGPT and other large language models. Personal Intelligence is a feature within Gemini that enables it to connect with a user's Google account and draw upon data from various Google apps and services. Instead of treating each app as an isolated data source, Personal Intelligence allows Gemini to synthesize information from multiple apps to deliver highly personalized responses. For example, a user could ask Gemini about their upcoming trip, and the AI could reference hotel booking emails in Gmail, saved places in Maps, flight details from Search, and even relevant photos from Google Photos to provide a comprehensive answer.

Currently, Personal Intelligence works across Contacts, Google Photos, Google Workspace (Gmail, Drive, Calendar), Search Services (including saved data from Search, Maps, and Shopping), and YouTube. The upcoming integration with Google Maps will expand this list, making Maps a more active participant in this interconnected ecosystem. The logical destination for this feature within Maps is the Ask Maps functionality, which is powered by Gemini and already allows users to ask questions about places, get recommendations, and learn about destinations. With Personal Intelligence, Ask Maps could become an indispensable travel companion.

How Will It Work in Maps?

Based on the uncovered code, when Personal Intelligence is active in Google Maps, the app will be able to surface reservations, flights, and other relevant information from your connected Google apps. Imagine opening Google Maps before a trip and seeing your flight departure time, hotel check-in details, restaurant reservations, and a list of saved places you've starred, all pulled together seamlessly. Ask Maps could then answer questions like "What's my hotel check-in time?" or "Show me restaurants near my saved places" without you needing to manually search through emails or other apps.

Beyond travel, the potential applications are vast. Personal Intelligence could help you find photos you took at a particular location, suggest routes based on your calendar events, or even recommend stops along your journey based on your YouTube watch history or search preferences. The feature is designed to be under your control, as the code emphasizes that you can change settings anytime. This aligns with Google's broader approach to privacy, allowing users to decide which apps and data sources Personal Intelligence can access.

We also spotted two new sections in the Google Maps account switcher: "Connected Content Apps" and "Personalization." While these are currently non-functional and only display an infinite loading animation, they represent the user interface for managing this integration. It's likely that Connected Content Apps will list all Google services that Maps can connect to, and Personalization will allow users to fine-tune how Maps uses that data. This could include toggling specific data sources or opting out entirely.

Implications for Privacy and Control

Integrating personal data from multiple sources naturally raises privacy concerns. Google has stated that Personal Intelligence is opt-in and that users maintain control over their data. The new settings in Maps are expected to provide granular control over which connected apps can contribute information. Users who prefer not to use this feature can simply leave it disabled. For those who opt in, Google will likely use its existing privacy infrastructure, such as data encryption and differential privacy techniques, to protect user information.

It's important to note that this feature is still in development. As the APK teardown suggests, some of these capabilities may not make it to a public release. However, the presence of detailed code strings and new UI elements indicates that Google is serious about bringing Personal Intelligence to Maps. The timing also makes sense, as Google is pushing Gemini across its suite of products, from search to productivity tools and now navigation.

Historical Context: Evolution of Google Maps

Google Maps has evolved from a simple map service into a full-fledged navigation, discovery, and local business platform. Over the years, it has added real-time traffic, public transit information, indoor maps, street view, and immersive view. The integration of AI and machine learning has been a key driver of this evolution. Features like live traffic predictions, suggested destinations, and personalized place recommendations already rely on AI. The addition of Gemini's Personal Intelligence represents the next logical step: making Maps not just a tool for getting from point A to point B, but a proactive assistant that anticipates your needs.

This move also positions Google Maps to compete with other AI-powered travel assistants and navigation apps. Apple Maps, for instance, has been adding more contextual features, while dedicated travel apps like TripIt and Google's own Google Trips (now discontinued) tried to consolidate travel information. By bringing Personal Intelligence into Maps, Google can leverage its vast ecosystem to offer a unified experience that few competitors can match.

For everyday users, the benefit is clear: less time manually searching for information across multiple apps and more seamless interaction with the map. If you have a flight confirmation in Gmail, a hotel booking in Google Travel, and a set of photos from a previous trip in Google Photos, Maps will be able to tie it all together. The same applies to business trips, daily commutes with multiple stops, or even planning a weekend getaway.

What's Next?

While there is no official release date, the presence of these features in a beta version suggests a public rollout could happen in the coming months. Google typically tests such features in beta before a wider release. Users who want to get an early look can join the Google Maps beta program on Android, though the non-functional settings indicate the feature is not yet ready for testing. Once live, it will likely be exclusive to users who have opted into Gemini and Personal Intelligence, which may require a Google One subscription or be part of a broader AI premium tier.

In summary, Google Maps is on the verge of a major update that will transform it from a map into a personal travel concierge. By integrating Gemini's Personal Intelligence with your connected Google apps, it will bring relevant travel information front and center, making trip planning and navigation more intuitive than ever. The code strings and new settings are strong evidence that this is more than just a rumor — it's a planned feature that could redefine how we interact with maps. Keep an eye on future updates for more concrete details as Google continues to lay the groundwork for this smartest update yet.

The ability to connect Maps with other Google services will undoubtedly make the app more powerful, but it also underscores the growing trend of AI-driven personalization. As Google continues to weave its AI assistant into every corner of its ecosystem, users can expect more features that blur the lines between apps. Whether this results in a truly seamless experience or raises new privacy concerns remains to be seen. For now, the future of Google Maps looks brighter and more intelligent than ever.

Source: Android Authority News

The easiest way to think about Collections is like playlists on Spotify or albums in Google Photos. You can group related notebooks however you like, whether that’s work projects, holiday planning, recipes, or research. Give each topic its own space, and finding what you need becomes much quicker.

What makes this even better is that Google has not forced users into a traditional folder system. Collections are much more flexible. A notebook can belong to multiple collections if it makes sense, or you can ignore the feature altogether and stick with the familiar My Notebooks view. It is the kind of approach that keeps things organized without adding unnecessary complexity.

The demand for such a feature has been building since NotebookLM was first released in early 2024 as a experimental note-taking tool powered by Google's large language models. Initially, NotebookLM allowed users to upload documents, PDFs, and web links and then ask questions, summarize content, or generate insights. The app quickly gained traction among students, researchers, and professionals who needed to synthesize information from multiple sources. As the user base grew, so did the number of notebooks created, leading to a cluttered interface that made searching for specific notebooks a chore.

Google acknowledged this pain point in community forums and feedback channels over the past year. In early 2026, the company rebranded the product to Gemini Notebook to align with its broader Gemini AI ecosystem, signaling deeper integration with services like Google Docs, Gmail, and Google Drive. Yet the organization problem remained. Users reported spending precious minutes scrolling through long lists of notebooks, often with similar names and outdated content. The introduction of Collections directly addresses this issue, offering a lightweight, user-driven way to categorize content.

From a technical perspective, Collections are stored as metadata tags associated with each notebook, allowing notebooks to appear in multiple collections simultaneously. This design choice avoids the rigidity of hierarchical folders, where moving a notebook forces a single location. For example, a notebook containing research on machine learning algorithms could be placed in both a 'Work Projects' collection and a 'Personal Learning' collection. This flexibility mirrors how modern knowledge workers actually organize their digital lives.

The rollout is gradual, with Google typically using server-side updates to enable features across its user base. The Collections feature began appearing in Gemini Notebook on both web and mobile apps in late July 2026. Users who do not see the option yet may need to refresh their browser or wait for the update to propagate. Google has not specified an exact timeline for full availability, but based on previous rollouts, it should reach all users within a week or two.

One notable limitation is that Collections cannot be shared with other people, at least for now. This means the feature is purely for personal organization, not for collaborative grouping of notebooks. In a workspace environment, teams often share notebooks to collaborate on projects; the inability to share collections might be a temporary setback. However, given Google's track record, it is likely that sharing capabilities will be added in a future update. The company has been steadily enhancing Gemini Notebook with collaborative features, including real-time editing and commenting, so extending sharing to collections seems a natural next step.

The impact of Collections extends beyond mere organization. By allowing users to create thematic groups, Gemini Notebook becomes a more powerful tool for project management, academic research, and personal knowledge management. For instance, a graduate student working on a thesis can create collections for each chapter, with source notebooks, drafts, and brainstorming sessions all grouped together. A small business owner can separate client projects, vendor research, and financial planning into distinct collections. The ability to cross-reference notebooks across collections also enables serendipitous discoveries, as related ideas from different domains become visible in a single view.

User reception on social media and tech forums has been overwhelmingly positive. Many have called the feature 'long overdue' and praised Google for not overcomplicating the interface. Some have noted that the flexibility of multiple collections per notebook is a significant improvement over traditional folder systems, which often force binary decisions. Critics, however, point out that the lack of sharing limits its use in team settings, and some would prefer nested collections for deeper hierarchies. Google has not commented on whether nested collections are planned, but the current implementation suggests a focus on simplicity rather than power-user features.

For context, the competition in the AI note-taking space is fierce. Microsoft's Copilot Notebook, Apple's Notes with AI, and independent apps like Notion AI and Obsidian all offer varying degrees of organization. Microsoft's OneNote has long supported sections and tags, but lacks the AI-driven summary and query capabilities that define Gemini Notebook. Notion provides database-like organization but can be overwhelming for casual users. Apple's Notes remains simple but limited in AI features. Gemini Notebook's Collections attempt to strike a balance: providing enough structure to reduce clutter while keeping the learning curve shallow.

The timing of the feature is also strategic. With the rebrand to Gemini Notebook, Google is positioning the product as a central hub for AI-assisted knowledge work. The addition of Collections makes the platform more sticky, encouraging users to keep more notebooks within the ecosystem rather than exporting them elsewhere. This, in turn, feeds Google's training data, improving its models and potentially leading to more advanced features like automatic collection suggestions or smart tagging based on notebook content.

Privacy considerations remain paramount. Google has stated that user notebooks and collections are encrypted in transit and at rest, and that AI interactions are anonymized for model improvement. Users can also delete their entire notebook library at any time. The Collections feature does not introduce new privacy risks, as it simply reorganizes existing metadata. However, users should be mindful that creating collections with identifiable names (e.g., 'Medical History') might inadvertently reveal sensitive information if sharing becomes enabled later.

Looking ahead, the roadmap for Gemini Notebook likely includes deeper integration with Google Workspace. Imagine dragging an email from Gmail into a notebook, or having a Google Doc automatically converted into a notebook. Collections could then be used to organize not just notebooks but also related Drive files, calendar events, and contacts. Such interoperability would make Gemini Notebook a true knowledge management system rather than just a note-taking app.

In the immediate future, users can expect the Collections feature to become more polished based on feedback. Common requests include drag-and-drop support for adding notebooks to collections, batch operations to move multiple notebooks at once, and visual indicators showing which collections a notebook belongs to. Google's development team has been responsive to user input; earlier this year, they added support for inline images and code syntax highlighting based on popular requests.

For now, the Collections feature is a solid first step. It solves the primary organization headache without breaking existing workflows. Users who have built extensive notebook libraries will find immediate relief, while new users will enjoy a cleaner starting experience. As Gemini Notebook continues to evolve, the addition of Collections marks a maturation of the product, transforming it from a experimental AI tool into a practical daily driver for information workers.

The underlying technology powering Gemini Notebook is based on the Gemini Ultra language model, which Google claims excels at long-context reasoning and multi-document synthesis. This allows the app to analyze notebooks placed in different collections and draw connections across them, a capability that standard note-taking apps lack. For example, if you have a collection for 'Travel Plans' and another for 'Budget Tracking', Gemini can propose itineraries that fit within your financial constraints by cross-referencing the content. This cross-collection intelligence is still nascent, but the container for it is now in place.

In practice, early adopters have reported that Collections reduce the time needed to locate a specific notebook by an average of 40%. The improvement is most pronounced for users with more than 30 notebooks. Before Collections, users often relied on the search bar, which, while effective, required remembering exact keywords or titles. With visual grouping, users can scan thematic sections more intuitively, mimicking physical office filing systems.

Google's decision to avoid folders also aligns with modern data management philosophy. Hierarchical folder structures often break down at scale, forcing files into pigeonholes that may not fit. Tag-based systems, where a single item can have multiple tags, are considered more robust for information retrieval. Collections are essentially curated tag sets, giving users the best of both worlds: the simplicity of a playlist and the power of multiple categorization.

The absence of sharing for Collections might be a deliberate choice to ensure stability before expanding. Google has a history of rolling out collaboration features later in a product's lifecycle, as seen with Google Sheets' early limitations. By keeping Collections personal initially, Google can gather usage data and refine the feature without the complexity of permission management. Expect sharing to arrive in a subsequent update, possibly with options like view-only or editable collections for teammates.

Overall, the Collections feature represents a significant improvement to Gemini Notebook, answering a top user request and laying the groundwork for a more organized, intelligent knowledge workspace. The gradual rollout ensures stability, and the flexibility of the design accommodates diverse use cases. Whether you are a student, professional, or hobbyist, Collections make Gemini Notebook a more pleasant place to store and explore your ideas.

Source: Android Authority News