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Apple Turns to Google for AI Help: $1 Billion Deal to Power Siri With Gemini

Apple Google

Key Highlights:

  • Apple is close to signing a US$1 billion per year deal with Google to use its Gemini AI model for Siri.
  • The upgraded Siri is expected to launch in spring 2026 as part of iOS 26.4.
  • Apple plans to use Gemini temporarily while developing its own large-scale AI model.

Apple Turns to Google for AI Upgrade

Apple is in final talks with Google to integrate its powerful Gemini AI model into Siri, marking one of the biggest artificial intelligence partnerships in the tech industry. The deal, worth around US$1 billion per year, aims to overhaul Siri’s capabilities and bring Apple up to speed in the fast-moving AI race. According to Bloomberg, the Gemini-powered Siri could launch by spring 2026 with iOS 26.4.

AI Generated Image

A Smarter, More Capable Siri

Currently, Siri runs on Apple’s in-house cloud AI with around 150 billion parameters. Under the new agreement, it will tap into Google’s Gemini model, which boasts 1.2 trillion parameters, nearly eight times more powerful. The upgrade will allow Siri to better understand complex commands, summarise information, and plan multi-step tasks.

Internally, the Siri revamp is known as “Linwood”, while the larger AI project is called “Glenwood.” The effort is being led by Apple executives Craig Federighi and Mike Rockwell, the creator of the Vision Pro headset.

Privacy and Performance

Despite using Google’s AI, Apple will maintain strict privacy controls. Gemini will operate on Apple’s Private Cloud Compute (PCC) servers, ensuring user data remains isolated from Google’s infrastructure. All processing will be temporary, with no data stored between sessions, reinforcing Apple’s privacy-first image.

However, this setup means Apple must expand its cloud hardware to handle Gemini’s massive size, potentially increasing costs and system load.

Why Apple Chose Google

Apple reportedly tested multiple AI models, including OpenAI’s GPT and Anthropic’s Claude, before selecting Gemini for its contextual understanding, scalability, and integration flexibility. While the deal gives Apple a major AI boost, it’s seen as a temporary arrangement until Apple completes its own 1-trillion-parameter AI model.

In markets like China, where Google services are banned, Apple plans to rely on its in-house models and local partners like Alibaba for regulatory compliance.

Strategic Implications

The collaboration marks a shift in Apple’s strategy, from building everything internally to selectively partnering with industry leaders. While the partnership won’t be publicly branded like the Safari-Google Search deal, it highlights how Apple is adapting to remain competitive in generative AI.

Both Apple and Google stocks rose after reports of the deal, signaling investor optimism. Once launched, the Gemini-powered Siri could redefine what voice assistants are capable of, blending power, privacy, and intelligence in a way that reshapes the AI landscape.

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Nested Learning AI Tackles Catastrophic Forgetting

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Google Research introduces Nested Learning AI, a paradigm that unifies architecture and optimization to combat catastrophic forgetting, enabling true continual learning.

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Google clarifies policy on false information in advertiser verification

How to tell if Google Ads automation helps or hurts your campaigns

Google has updated its Circumventing Systems policy to include a new example explicitly warning advertisers that submitting false information during the Advertiser Verification process violates its rules and will lead to account suspension.

The details:

  • The update was added to the Circumventing Systems section of Google’s Ads policies in November 2025.
  • It specifies that providing false or fraudulent information during verification is treated as an intentional attempt to bypass Google’s compliance systems.
  • Violations will result in immediate account suspension.

Why we care. This clarification reinforces Google’s zero-tolerance stance on misinformation within its verification programs — meaning even minor inaccuracies could lead to account suspension.

As Google continues tightening identity and transparency requirements, maintaining accurate, verifiable business information is critical to avoid disruptions in ad delivery and preserve account trustworthiness.approach to misrepresentation and fraud.

The bottom line. Advertisers should ensure all verification details — from business documentation to contact information — are accurate and truthful. Even small discrepancies could trigger policy enforcement under Google’s expanded verification framework.

Google deploys its 7th Generation “Ironwood” TPU, and it bests Nvidia Blackwell

Google has unveiled its most powerful Tensor Processing Unit to date, and “AI Hypercomputer” ambitions Google Cloud have unveiled its new 7th Generation Tensor Processing Unit, Ironwood. These new TPUs will be available to customers later this month and will enable efficient scaling into the “AI Hypercomputer” domain. With Ironwood, alongside its new Axion CPUs, […]

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Google’s new AI tools automate ad reviews, reporting, and support for publishers

Google TV: What you need to know CTV buying in Google Ads

Google is launching a suite of updates across Ad Manager, AdSense, and AdMob to help publishers save time, strengthen advertiser relationships, and better monetize content — with major additions powered by AI and real-time technology.

AI-driven automation:

  • Smarter brand safety: A new AI tool learns a publisher’s specific brand standards and will soon automatically block unwanted ads, reducing time spent in manual ad reviews.
  • Generative AI reporting: Publishers can now ask questions like “Which ad units had the highest CPM last week?” and instantly generate tailored performance reports in Ad Manager.
  • AI Help guide: Rolling out in Ad Manager, AdMob, and AdSense, this chat tool offers instant onboarding and troubleshooting — a boost for smaller publishers with limited support resources.

Why we care. These updates could mean cleaner, safer, and more efficient ad inventory across Google’s platforms. Automated brand safety tools reduce the risk of ads appearing alongside unsuitable content, while AI-driven reporting gives publishers faster insights — possibly leading to better-optimized campaigns.

And with new live CTV and Buyer Direct features, advertisers gain real-time access to premium audiences and more transparent, performance-driven media buying.

Monetizing live moments. Google’s new CTV Live-biddable solution in Ad Manager helps publishers capture more value from unpredictable live events — like sports games or award shows — by selling premium inventory programmatically in real time.

  • “Google Ad Manager’s live CTV solution allowed us to deliver high-quality streams of the FIFA Club World Cup to millions of fans globally,” said Ronan McCarthy, SVP of Media Operations at DAZN.

Streamlining direct deals. The new Buyer Direct feature in Ad Manager blends the control of traditional direct deals with programmatic efficiency — offering cross-publisher frequency management, real-time reporting, and consolidated billing.

The big picture. By automating ad reviews, reporting, and support, Google is giving publishers more time to focus on content — and advertisers access to more consistent, brand-safe, and high-performing inventory across its platforms.

Surfer 2: H Company’s AI Agent Masters All Your Screens

The post Surfer 2: H Company’s AI Agent Masters All Your Screens appeared first on StartupHub.ai.

H Company's Surfer 2 agent demonstrates a unified, visually-driven architecture capable of mastering desktop, web, and mobile environments, often exceeding human performance.

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Arm-Powered Axion Boosts AI Energy Efficiency

The post Arm-Powered Axion Boosts AI Energy Efficiency appeared first on StartupHub.ai.

Google's new Arm-based Axion N4A and C4A instances are set to redefine AI energy efficiency, offering superior performance-per-watt and a unified cloud-to-car architecture.

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Google’s AI Learning Tools Chart Education’s New Course

The post Google’s AI Learning Tools Chart Education’s New Course appeared first on StartupHub.ai.

Google's new AI learning tools aim to transform education by supporting educators, personalizing learning, and prompting a critical re-evaluation of academic assessments.

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Gemini API File Search Simplifies RAG Integration

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Google's Gemini API File Search simplifies Retrieval Augmented Generation by offering a fully managed system with a cost-effective billing model.

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AI for Nature: Google’s Tech Push for Planet 30×30

The post AI for Nature: Google’s Tech Push for Planet 30×30 appeared first on StartupHub.ai.

Google's AI for Nature initiative is a pivotal move, leveraging advanced AI to visualize, predict, and empower global conservation efforts for a healthier planet.

The post AI for Nature: Google’s Tech Push for Planet 30×30 appeared first on StartupHub.ai.

Opal’s Global Push Reshapes No-code AI Development

The post Opal’s Global Push Reshapes No-code AI Development appeared first on StartupHub.ai.

Google Labs' Opal has expanded its no-code AI development platform to over 160 countries, significantly lowering the barrier for AI app creation worldwide.

The post Opal’s Global Push Reshapes No-code AI Development appeared first on StartupHub.ai.

Google Maps Adds Gemini AI: Hands-Free Assistance, Traffic Alerts, and Lens Integration

Google Maps gets Gemini integration

Google is adding its Gemini AI to Maps, bringing a smarter and more conversational driving experience. The update lets drivers use voice commands for navigation and other tasks without touching their phones, making it easier to get help while keeping their hands on the wheel.

Google Maps gets Gemini integration

With Gemini built into Maps, users can ask for things like “Find a budget-friendly restaurant with vegan options along my route” and “What’s parking like there?” before saying “OK, let’s go there.” Gemini can also handle connected tasks, such as “Add a calendar event for soccer practice tomorrow at 5 p.m.” Once permission is given, it syncs directly with Google Calendar. Drivers can also ask about popular dishes, get news updates, or check sports scores while navigating.

Google has also made it simpler to report road conditions. Drivers can say, “I see an accident,” “There’s flooding ahead,” or “Watch out for that slowdown” to share traffic updates right away. The Gemini-powered navigation will start rolling out in the coming weeks on Android and iOS, with Android Auto support coming soon.

Maps will also start giving directions based on real-world landmarks instead of distance markers. Instead of hearing “Turn right in 500 feet,” users will get clearer guidance like “Turn right after the Thai Siam Restaurant,” with the landmark shown on the map. This update uses data from more than 250 million mapped places and Street View images to identify visible landmarks. Landmark-based navigation is now rolling out on Android and iOS in the U.S.

Google Maps is also adding proactive traffic alerts. Even if you are not navigating, Maps can now notify you about unexpected road closures or heavy traffic ahead. This feature is rolling out on Android in the U.S.

Lastly, the new Lens feature built with Gemini lets you explore places visually. By pointing your phone’s camera at a restaurant or store, you can ask questions like “What’s this place known for?” or “What’s the vibe inside?” Lens with Gemini will begin rolling out later this month in the U.S. on Android and iOS.

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Google Pixel Watch 4 Arrives in India Starting at Just Rs 39,900

Google Pixel Watch 4

Following its global debut, Google is bringing its latest premium smartwatch to India. The Pixel Watch 4 has finally arriving in the Indian market that brings cutting edge hardware, longer battery life, faster performance, and much more. So here are all the details.

India Finally Gets the Google Pixel Watch 4

Just like its predecessors, the Pixel Watch 4 retains the circular display. The domed screen is called the Actua 360 display, which offers 3000 nits of peak brightness, slimmer bezels, and Always on support. This is housed in an aluminum casing that is rated with 5ATM and IP68 for water and dust resistance. Under the hood, it is equipped with the Snapdragon W5 Gen 2, with the smartwatch running on Wear OS 6.0. The Qualcomm wearable chip is also paired with 2GB of RAM and 32GB of storage.

Google Pixel Watch 4
Google Pixel Watch 4

Google’s Pixel Watch 4 is available in two size options, namely 41mm and 45mm models. The former has a 325mAh cell that is rated for 30 hours, while the 45mm has a 455mAh battery that promises 40 hours of runtime. With Battery Saver enabled, the battery life extends to two days on the smaller version, and the larger model gets three days of operation. The smartwatch supports quick charge, with just 15 minutes of charging offering up to 50 percent charge.

Other notable features include various health related sensors for heart rate tracking, blood oxygen mapping and more, Gemini AI integration with Raise to Talk, Bluetooth 5.3 LTE, WiFi 6, GPS, and more than 50 workout types. The Google Pixel Watch 4 41mm WiFi only version is priced at Rs 39,900. On the other hand, the Pixel Watch 4 45mm is available for Rs 43,900.

You can purchase the 41mm model with an Iris Band, a Polished Silver Aluminum case with a Porcelain Band, a Champagne Gold Aluminum case with a Lemongrass Band, and a Matte Black Aluminum case with an Obsidian Band. Meanwhile, the 45mm version comes with a Satin Moonstone Aluminum case and Moonstone Band, a Polished Silver Aluminum case with a Porcelain Band, and a Matte Black Aluminum case with an Obsidian Band.

For more daily updates, please visit our News Section.

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Google Pixel Watch 4 finally makes its way to Indian market

Google Pixel Watch 4

It took a few months, but Google’s latest smartwatch has finally made its way to India. The Pixel Watch 4, first unveiled back in August, is now available through the Google India online store. 

Pixel Watch 4 Price in India and availability

The Pixel Watch 4 comes in two sizes. The 41mm Wi-Fi model is priced at ₹39,900, while the larger 45mm version costs ₹43,900. Google says the watch will soon expand to other outlets, including Flipkart and select offline retailers.

Both models offer a variety of finishes and strap combinations.
The 41mm version comes in:

  • Polished silver case with an iris band
  • Champagne gold case with a lemongrass band
  • Matte black case with an obsidian band
  • Polished silver case with a porcelain band

You can get the 45mm model in:

  • Satin moonstone case with a moonstone band
  • Polished silver case with a porcelain band
  • Matte black case with an obsidian band

What’s new

The Pixel Watch 4 keeps the familiar round silhouette of previous models but introduces a sharper Actua 360 display that curves across the body. Google claims it offers a 10% larger active area with slimmer bezels, along with up to 3,000 nits peak brightness.

Inside, the watch is powered by Qualcomm’s Snapdragon W5 Gen 2 platform, paired with an ML-powered co-processor. Google says this setup delivers 25% more speed while consuming half the power. 

The 41mm model gets a 325 mAh battery rated for 30 hours, while the 45mm version bumps that to 455 mAh for 40 hours. 

As for health and wellness, sleep tracking is now 18% more accurate, and the watch can track skin temperature. The addition of dual-frequency GPS should deliver more precise location data. 

The Watch 4 supports more than 50 workout types, including basketball and pickleball, and can automatically detect some of these activities.

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Google Maps could soon help you find shady walking routes

Google Maps might soon get a new feature that helps you stay cool while walking. Google is currently testing a new “Prefer shade” option in the app. This feature could let users choose walking routes that have more shade, helping them avoid the hot sun while getting to their destination.

The “Prefer shade” option has been found by Android Authority in the latest version (version 25.45.02.826664481) of the Google Maps app for Android. The report says this new tool will work only for walking directions.

Google Maps may even show how many minutes of your walk will be in the sun. The toggle for this feature was seen in the Trip Options menu, but it doesn’t work yet.

Google Maps Prefer shade-feature

Image via Android Authority

It’s not yet clear how Google will figure out which paths are shady or sunny. One idea is that Google could use LiDAR technology, which is already used by its Street View cars. LiDAR can scan streets and buildings to create detailed 3D maps. By combining this with information about the sun’s position and time of day, Google could predict where shade will fall.

Other apps have tried something similar before. In 2018, an app called Parasol offered shaded walking routes using LiDAR and sunlight data. Another app, Cool Walks, used the same idea to map shady streets in Barcelona.

This new Google Maps feature could be very helpful, especially during hot weather or heatwaves. It could also benefit people who are sensitive to sunlight or simply don’t like walking in the heat. If Google launches this “Prefer shade” option, walking could become a lot more comfortable.

Google Search Top Stories Preferred Source

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Google Unveils Key AI Tools for Publishers

The post Google Unveils Key AI Tools for Publishers appeared first on StartupHub.ai.

Google's new AI tools for publishers and monetization solutions aim to automate tasks, enhance brand safety, and unlock significant revenue from live CTV and direct deals.

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Google Finance AI Features Reshape Market Analysis

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Google Finance AI features, including Deep Search and prediction markets, are set to democratize advanced financial analysis, empowering users with unprecedented market insights.

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Ukrainian AI Startups Surge with Google’s Strategic Investment

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Google's $15 million Ukraine Support Fund has concluded, successfully pivoting Ukrainian AI startups from survival to leading innovation in deep tech.

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Apple Will Use A 1.2 Trillion-Parameter, Very Expensive AI Model From Google As A Crutch For Siri

Apple and Google logos with digital circuit connections.

Apple is increasingly relying on Google's crutches to power its revamped Siri in the cloud. And we now know some of the specs of the custom Gemini model that is expected to bolster the new Siri. Mark Gurman: Apple is planning to use a custom Gemini AI model with 1.2 trillion parameters to power the revamped Siri Bloomberg's Mark Gurman is now reporting that Apple is planning to use a gigantic, albeit tailored, Gemini AI model to power its upcoming revamped Siri. With 1.2 trillion parameters under its belt, the customized Gemini model would "dwarf" the 1.5 billion-parameter, bespoke AI […]

Read full article at https://wccftech.com/apple-will-use-a-1-2-trillion-parameter-very-expensive-ai-model-from-google-as-a-crutch-for-siri/

Google to remove more search features including practice problems, nutrition facts, nearby offers and more

Google will be removing more search features in the coming months, but it has not disclosed the full list of which features. It appears that Google will do away with some of the currently supported structured data types used for rich results in Google Search, plus some search features.

This comes after Google dropped support for several search features back in June, but then Google documented which ones those were. Later, Google confirmed the removal of those structured data types.

What Google said. John Mueller, Search Advocate at Google, wrote:

  • “We’re beginning to phase these lesser-used features out.
  • “This update will simplify the page and improve the speed of search results.
  • “This is part of our ongoing work to make sure we’re helping you find what you need as efficiently as possible, and we’ll continue to look for ways to make Search work better for you.”

But it does not specifically list which structured data types are being removed. Mueller wrote:

  • “Starting in January 2026, we’ll remove support for the structured data types in Search Console and its API.”

More details. A Google spokesperson told me this is not the end of all structured data/rich results. Google will deprecate the practice problems structured data and that Dataset structured data is only used by Dataset Search, and not Google Search. Plus, Google said it undeprecated the book actions as there are still some features using the markup in Google Search.

Google also said it will remove the “Today’s Doodle” box, nutrition facts, nearby offers and events, local bikeshare station status, and a TV season selector.

This is not the full list of what is being removed, but just some examples of the small, organizational elements of the page that were rarely used and in many instances didn’t have official names, Google told me.

Why we care. These changes may require you to remove unsupported code from your webpages. As a result, your site’s click-through rates from Google Search could be affected, and some search features you’re familiar with might no longer appear. Without knowing all the specifics, it’s difficult to predict the exact impact. Hopefully, any effects on your site will be minimal.

Gemini API Structured Outputs Get Critical Upgrades

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Google's Gemini API Structured Outputs now offer expanded JSON Schema support and implicit property ordering, significantly enhancing AI output reliability and developer integration.

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Google Play Store users gain access to digital gift cards from top brands

Google has added a new and exciting feature to the Play Store that is the ability to buy and send digital gift cards from well-known brands. Users can now purchase gift cards for Disney, Starbucks, AMC, Adidas, American Eagle, Athleta, and many more, all directly from the Google Play Store app.

This new feature makes gifting easier than ever. You can send a digital gift card straight to someone’s email or phone. This makes it a quick and thoughtful way to surprise friends or family.

To use the feature, open the Play Store app on your device and search for “gift cards.” A special banner will guide you to the new gift card shop. You can also tap your profile icon in the top-right corner and choose the “Gift Cards” option from the menu. From there, simply pick a brand, select how much you want to spend, and add a personal message before sending it.

Samsung Galaxy S25 Ultra One UI 7 Home Screen App Icons

Image – SammyFans

Currently, the digital gift card option is available in three countries, including the United States, the United Kingdom, and Mexico. There are also daily purchase limits that vary by country. For example, users in the US can buy up to $250 worth of digital gift cards each day.

This update shows Google’s plan to expand the Play Store beyond apps and games. By adding well-known retail and entertainment brands, Google is turning the Play Store into a convenient hub for digital shopping and gifting. With just a few taps, you can send a meaningful digital gift, as no physical card is required.

Google Search Top Stories Preferred Source

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Gemini Google Maps: AI Transforms Navigation Experience

The post Gemini Google Maps: AI Transforms Navigation Experience appeared first on StartupHub.ai.

Gemini Google Maps introduces hands-free, conversational AI, landmark navigation, and visual search, fundamentally transforming the driving and exploration experience.

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Quick Share adopts Expressive design for Windows

Google is rolling out a redesigned Quick Share for Windows, adopting an Expressive design. The entire app’s user interface hasn’t grabbed the Expressive redesign, but it’s limited to the Settings menu for Windows PCs.

Quick Share homepage has simplified the “Who can share with you” entries with simpler terms. The send and receive cards have also been unified in a bigger box. The option to let “everyone for 10 minutes” has also been easily made available.

The sharing progress page now divides your devices and other devices into different sections. This page was just limited to listing nearby devices on the sharing progress page.

Next is the Settings UI of the Quick Share application. The redesign includes boxes grouping settings together and lines dividing each individual entry.

Quick Share Windows

Via – AndroidAuthority

Google has just begun the rollout of this new Quick Share design for Windows PC users. You can install the latest version 1.0.2351.1 with an upgraded UI. It seems a server-side rollout, so you may also need to wait for expansion.

Quick Share for Android has already tweaked its design. With Google’s bringing the changes to the app’s PC version, it’s an attempt to offer a universal appearance across operating systems.

Google’s Quick Share remains a perfect tool for data transfers across platforms. After a successful launch on Android, it landed on Windows before leaving its Nearby Share identity.

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Epic and Google Finally Reach Settlement to Open the Android Platform and Lower Service Fees on Google Play

Google and Epic Games logos with a judge's gavel in the background.

Epic Games and Google have announced they have reached a settlement on their longstanding legal feud, which began in August 2020 and was filed at the same time as Epic's lawsuit against Apple. The Fortnite and Unreal Engine maker challenged both mobile giants for their monopolistic practices and scored a complete victory against Google in December 2023, which was subsequently upheld in appeals. Earlier this month, Google even appealed to the Supreme Court, but with no avail. A few hours ago, Google's President of the Android ecosystem, Sameer Samat, wrote on X that a proposed set of changes, devised in […]

Read full article at https://wccftech.com/epic-google-finally-reach-settlement-open-android-platform-lower-service-fees/

Google Plans to Launch AI Data Centers into Space

Google AI data centers space project suncatcher

Google is thinking far outside the box—or, more accurately, outside the atmosphere. Its goal is to solve the energy demands of its soaring AI ambitions. With that in mind, Google has announced a “moonshot” research project called Project Suncatcher, which envisions launching constellations of solar-powered satellites equipped with Tensor Processing Units (TPUs) to create AI data centers in space.

The primary motivation is simple: clean, near-unlimited energy. On Earth, AI data centers are raising environmental and utility concerns due to their massive power needs. In orbit, solar panels could be up to eight times more productive than their terrestrial counterparts and operate almost continuously. As Google’s Travis Beals explains, “In the future, space may be the best place to scale AI compute.”

Google’s Project Suncatcher: Launching TPUs to orbit for unlimited solar power

Turning this dream into orbiting reality presents significant engineering challenges. Google is actively testing how its TPUs can withstand the higher levels of radiation in space. So far, tests on its Trillium TPUs show they can survive a total ionizing dose equivalent to a five-year mission life without permanent failures. These results suggest they are surprisingly robust.

The biggest technical challenge, however, is communication. For these space-based centers to compete with those on land, they need extremely fast networking. Google proposes using free-space optical links (laser beams) to transmit data between satellites at “tens of terabits per second.” This requires positioning the satellites in tight, dense formations—flying them within “kilometers or less” of each other. This close proximity is far tighter than current satellite operations and introduces risks. The data centers could face space junk and collisions, for instance.

The high cost and competition in the segment

Launching hardware into space is pricey today, but Google’s cost analysis shows promise. The company projects that by the mid-2030s, the energy costs of running a space-based data center could be “roughly comparable” to an equivalent facility on Earth. This is thanks to the rapidly falling rocket launch prices.

Google is not alone in looking up. Competitors, including Elon Musk’s SpaceX and even Amazon founder Jeff Bezos, have also voiced ambitions about launching compute infrastructure into orbit.

Google is moving quickly, however. The firm is planning a joint mission with the company Planet to launch two prototype satellites by early 2027. This initial step will allow Google to test its hardware’s reliability and feasibility in the harsh orbital environment.

The post Google Plans to Launch AI Data Centers into Space appeared first on Android Headlines.

Gemini Takeover: Option to Switch Back to Google Assistant to Vanish Soon

Google Gemini AH

The end is officially near for Google Assistant. Google has already been slowly transitioning users to its more advanced Gemini AI model. Now, recent findings in the app’s code confirm the final stage of that transition: soon, users will lose the ability to switch back to the legacy Google Assistant entirely in favor of Gemini.

For the last year, Google offered a “safety net.” The signature allowed users who preferred the old experience to revert to Assistant through a simple setting. Those days are numbered. Google is now actively working to remove the choice screen from Gemini and the “Digital assistants from Google” settings menu. This move effectively locks users into the Gemini experience.

Gemini switch back to Assistant option going away 1
Gemini switch back to Assistant option going away 2
Gemini switch back to Assistant option going away 1
Gemini switch back to Assistant option going away 2

Google Assistant Is dead: Gemini prepares to become your only AI option

Beyond the philosophical shift away from Assistant, Google is introducing several user interface improvements to make the Gemini experience cleaner and more efficient for everyday use (spotted by Android Authority). When the AI is working on a complex query, users will see a refreshed processing animation. The latter will improve the visual feedback, letting people know instantly that Google is working on their request.

Google is also addressing the clutter that often plagues long, in-depth AI chats. With that in mind, the firm is implementing conversation management tools. They are adding “expand” and “collapse” buttons for long user queries, a feature already available on the web version of Gemini. This helps declutter the mobile interface by hiding the full text of a long prompt once the AI ​​has responded.

Furthermore, there will be a new “Jump to bottom” button to navigate extensive conversation histories. This simple addition is highly useful for quickly catching up on the latest response without endlessly scrolling through previous exchanges.

Google Gemini Expand and collapse buttons 1
Google Gemini Jump to bottom button 1
Google Gemini Expand and collapse buttons 1
Google Gemini Jump to bottom button 1

Fans of the classic Google Assistant may mourn the loss of the familiar voice model. However, the move to Gemini is inevitable. Google is betting that the enhanced AI capabilities and the streamlined new interface will prove far more valuable than clinging to the past. The final switch may happen via a server-side update soon, making Gemini your only option.

The post Gemini Takeover: Option to Switch Back to Google Assistant to Vanish Soon appeared first on Android Headlines.

Pixel 10 Pro & Pixel 10 Pro XL Finally Receive A Well-Deserved Discount On Amazon, Get Up To 1TB Of Internal Memory At A Mouth-Watering $300 Off

Amazon has discounted the Pixel 10 Pro and Pixel 10 Pro XL by up to $300

Early adopters of Google’s Pixel 10 Pro and Pixel 10 Pro XL will be livid right now, because all you had to do was wait a little, and you would be enjoying the incredible discounts that Amazon has presented for the two flagships. The online retailer is now offering up to 1TB of onboard memory, with up to four paint jobs to choose from. Best of all, the Pixel 10 Pro and Pixel 10 Pro XL can be had for up to $300 off. For those who want faster storage, we recommend picking up the 256GB variants of the Pixel 10 […]

Read full article at https://wccftech.com/pixel-10-pro-and-pixel-10-pro-xl-up-to-1tb-storage-available-on-amazon-up-to-300-discount/

Google Maps will soon help you stay in the right lane

Google Maps is getting a smart new feature called live lane guidance to make driving easier and safer. This update will soon be available in cars that have Google built in, starting with the Polestar 4 in the US and Sweden.

Live lane guidance helps drivers stay in the correct lane while following directions. It uses a car’s front camera to look at lane markings and road signs. Then, AI studies what the camera sees and matches it with Google Maps in real time. This means the app can tell exactly which lane you are in and give you clear, personal directions.

For example, if you are driving in the far-left lane but your exit is on the right, Google Maps will notice this and tell you both with sounds and on-screen directions to move over before it’s too late. This can help you avoid missing turns or making sudden lane changes.

Google Maps Lane Guidance

Image via Android Authority

At first, this feature will only be available in Polestar 4 cars. However, Google plans to bring it to more car brands and countries in the future. The aim is to make driving smoother and help people feel more confident, especially on roads they don’t know well.

Even though Google Maps already gives good directions, live lane guidance takes things a step further. Combining smart AI with real-world camera views makes navigation more accurate and less stressful.

Google Maps will do more than just show the way, as it will also make sure you’re in the right lane to get there safely and easily. Stay tuned for more information.

Google Search Top Stories Preferred Source

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Google Gemini Updates Chart AI’s Future Across Industries

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Google's October AI announcements, driven by significant Google Gemini updates, reveal a comprehensive strategy to embed artificial intelligence across enterprise, scientific research, and daily consumer interactions.

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AI Nature Solutions: Google & WRI Chart a New Course

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Google and WRI's new roadmap details how AI nature solutions can overcome systemic barriers, making conservation more accessible, affordable, and effective globally.

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Google’s November 2025 Play System update makes Android devices more user-friendly

Google has rolled out its November 2025 update for Play System Services, bringing some great improvements for Android users across phones, tablets, Wear OS, Android TV, Auto, and PC. This update introduces new features and tweaks that make devices more user-friendly and stable.

For parents, there are updates to the Parent-managed contacts and School Time features on Android phones. These improvements help parents better manage who their kids can contact and control their screen time during school hours. Also, the Storage section in Google Settings has been updated to make it easier to manage and monitor your device’s storage.

Android TV users will notice that the Android TV Core Services has been updated to version 7.2.3. This update introduces new tools for developers, like the ability to support accounts for the Backdrop feature, helping to improve Android TV apps. The update also brings a new SDK version (36), which makes it easier for developers to create better apps.

For system stability, there have been updates across Android Auto, PC, phones, TV, and Wear OS. These changes improve the overall performance of your device, making it more reliable and less likely to experience bugs or crashes.

Android 15 QPR2

If you use Android Auto or a phone, you’ll find a new feature for autofill. The update now allows your phone to store and retrieve CVV codes, which speeds up payments when shopping online. Additionally, Pix payment is now available for Gboard users, making it easier to complete payments directly from the keyboard.

You can check the Google Play System Services November 2025 update changelog below.

Android TV Core Services v7.2.3

  • Introducing account capabilities for Backdrop and updating SDK version to 36.

Google Play services v25.43

Account Management

  • [Phone] You’ll now get an improved Parent-managed contacts and School Time features for easier supervision.
  • [Phone] You’ll get an improved Storage section of Google Settings.

Developer Services

  • [PC, Phone] Supports customizing a camera for scanning images.

System Management

  • [Auto, PC, Phone, TV, Wear] Updates to system management services that improve Stability.

Utilities

  • [Auto, Phone] With this update, Android Autofill now supports CVV storage and retrieval.

Wallet

  • [Phone] Pix payment is now available for GBoard users.

Google Search Top Stories Preferred Source

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Google Messages Will Get AI Image Editing Directly in Your Chats

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It seems that Google has set out to integrate the latest advanced image model into every possible service. Your next destination is Android‘s messaging experience. Code discovered in the latest beta version of Google Messages reveals the imminent launch of a “Remix,” a feature powered by its Nano Banana AI model, which will allow users to generate and edit images using text prompts right inside their chats.

The Nano Banana model, officially known as Gemini 2.5 Flash Image, boasts an exceptional ability to maintain the likeness of people and objects while altering style, background, or other details. Now, Google is about to integrate this magic where users need it most: in real-time conversations.

Google to bring Nano Banana-powered AI image editing to Messages: ‘Remix” feature

As spotted by Android Authority, Google will cleverly integrate the functionality into the app’s workflow. When composing a message and selecting an image from the media picker, users will see a new Remix option. Tapping this button will prompt an initial agreement to send the image to Google’s servers for processing.

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Google Messages Remix feature Nano Banana AI image editing 1
Google Messages Remix feature Nano Banana AI image editing 2
Google Messages Remix feature Nano Banana AI image editing 3

Once enabled, users enter a simple text prompt describing the desired changes. You could take a photo of your dog, for example, and prompt it to “put him in a spacesuit on the moon.” Google processes the request and presents the generated image. If you like it, tapping “Done” replaces the original image with the new, remixed version. So, it will be ready to send it to your friends.

The Remix feature isn’t limited to images you are sending. Users can also access Nano Banana by long-pressing an image received in a chat. This allows you to remix photos from others, giving a fun, collaborative twist to conversations.

Google Messages Remix feature Nano Banana AI image editing 4
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Google Messages Remix feature Nano Banana AI image editing 4
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Expecting some limits

As is common with generative AI features, Google is expected to implement some guardrails and limits. Code within the app suggests that the Remix option will only appear when a single image is selected from the media picker. More importantly, there are hints that Google will place a daily limit on the number of images a user can remix.

It remains unclear whether users with paid subscriptions (like Google AI Pro or Ultra) will receive higher daily limits than those on the free tier. But the groundwork for monetization or controlled usage is clearly being laid.

It seems that all the necessary code is already functional within the beta app. So, the official rollout of the Nano Banana-powered Remix feature will likely be just a server-side switch away. This integration will totally transform the creative possibilities within Google Messages.

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Google Messages testing Nano Banana AI image edit feature [Video]

Google Messages is testing a Nano Banana-powered AI Remix feature that will offer instant image creation and editing perks.

Samsung phone users will also benefit from this Google Messages upgrade that will let them create and edit images using the AI feature backed by Nano Banana.

While Google is testing the feature internally, folks over at AndroidAuthority managed to activate it early. The feature has been accessed in working state, while the development is still underway so more refinements in the pipeline.

Following the successful testing, Google Messages will add the Remix feature of Nano Banana. It will be accessible by a button, and you will be able to instantly create and edit images right within your ongoing chat seamlessly.

Nano Banana AI Image

Image – Google

The option will be available within the Media Picker when you intend to select an image in the chat screen. Launching the Remix feature for the first time will take you through its quick tour that also includes consent to terms.

Once you accept Google’s terms by hitting Continue, the app will redirect you to “a new screen where you will see some suggestion prompts, alongside an input box where you can insert your own prompt.”

Based on the text prompt, Google Messages will create an image. If you need some changes, there’s a Remix tool that lets you do so. Once done, you can hit “Done” to take the edited image into effect and share within the chat.

Google Messages will also let you remix images from the chat screen itself. Just press and hold onto an image in the chat screen and hit the Remix button. It will function on both, sent and recieved, images within Google Messages.

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Google Confirms Ads Are Coming to AI Mode, But What About Gemini?

Google Search AI Mode featured

The question of how Google will monetize its new AI products just got clearer. Robbie Stein, Google’s VP of Product, recently confirmed the company is moving forward with ads in its Search features, specifically AI Mode and “other AI experiences.” Crucially, however, the executive did not explicitly mention the standalone Gemini chatbot service.

Some recent reports have mentioned that Gemini could receive ads soon. They cite Stein’s appearance on the “Silicon Valley Girl” podcast as the primary source. However, there have been some misinterpretations of his actual words.

Google VP confirms ads are under testing in Search’s AI Mode

In the podcast, Stein confirmed the ad integration is already underway, stating, “We’ve started some experiments on ads within AI Mode and within Google AI experiences” (via Live Mint) This confirms that the generative features integrated directly into the Search experience will become the next frontier for advertising revenue. However, Gemini was never mentioned as a product that will get ads.

Robbie Stein emphasized that the company’s primary focus has been on building great consumer products first. But he added that “users are starting to see some ad experiments there too.”

As mentioned before, the standalone Gemini chatbot service remains officially outside of this specific announcement. But the term “Google AI experiences” is purposefully broad. It suggests that any AI product connected to the main Google stream could eventually be included.

Exploring ad formats

Stein hinted that the ads we see may not look like the traditional sponsored links we know from decades of web searching. Google is exploring “new and novel ad formats” that could integrate more naturally into conversational interfaces. He sees this as an opportunity, suggesting that advertising in this new context could be “even more helpful for you, particularly in an advertising context.”

This confirms the direction of Google’s monetization strategy. The company will follow an AI-enhanced future that will still be driven by advertising revenue. While the exact format and location of these new AI ads are still taking shape, the experiments are in progress. This signals the next great evolution of search monetization for the company.

The post Google Confirms Ads Are Coming to AI Mode, But What About Gemini? appeared first on Android Headlines.

Google Pixel 10 Sets New US Sales Record With Massive Yearly Growth

Google Pixel 10 Pro Review AH 19

Google is making serious gains in the high-end smartphone market. Despite facing heavy competition from the launch of Apple’s iPhone 17 series, the Pixel 10 lineup helped Google achieve an unprecedented milestone: a new single-month sales record in the U.S.

The data comes from a recent report from Counterpoint Research. The report shows that Google’s Pixel sales in the U.S. jumped a massive 28% year-over-year in September 2025. Not surprisingly, Google’s market share still remains a fraction of giants like Apple and Samsung. However, this growth shows a real momentum for the nearly decade-old phone brand.

Google Pixel 10 sales: 28% Y-o-Y growth in the US

The growth is most notable in the premium segment, which includes phones priced at $600 and above. Three years ago, Google held just 0.1% share in this bracket. Now, by September 2025, that share had emerged to 6.1%.

This milestone is largely driven by Google’s updated marketing strategy. The company has been heavily emphasizing the Pixel lineup’s Gemini AI integration and software innovation for some years. Google has been aggressively targeting iOS users with multimedia ad campaigns. The ads constantly show Pixel devices as more innovative and intelligent.

The new Pixel 10 series did the heavy lifting for this sales success. However, the $500 sub-flagship alternative, the Pixel 9a, also continues to sell well late into its life cycle.

Stealing premium market share from Samsung

Google’s growth appears to be primarily coming at the expense of other high-end brands, particularly Samsung. At major carriers like T-Mobile and Verizon, Google’s share in the $600+ market has grown to around 7% in the last three years. During the same period, Samsung’s share at T-Mobile dropped by 8 percentage points.

While this shift cannot be solely attributed to the Pixel, the data shows that a significant portion of Android users looking for premium devices are now choosing Google. The momentum sets the stage for the upcoming Pixel 11 lineup to become a truly landmark series for the company.

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Google Made Its First AI-Generated TV Ad For AI Search Mode

Google TV Ad Veo 3

Google is expanding the use cases of its AI models. Veo 3 is its text-to-video AI model, where you can generate videos with synchronized native audio from text prompts. This time, the company is using this artificial intelligence model to make TV ads for another AI-powered feature. Google has reportedly used its Veo 3 video-generation model to make a TV ad for AI Mode in Search.

Google’s first AI TV ad is reportedly made with Veo 3

As of November 1st, 2025, the TV advertisement is reportedly running on television channels, in movie theatres, and on social media. While we’ve seen Google showing off its generative AI tools, this commercial takes a new turn and opens doors for many such advertisements in the coming days.

The TV advertisement, titled “Planning a Quick Getaway? Just Ask Google,” shows a plush turkey using AI Mode in Google Search to find direct flights to a destination that doesn’t celebrate Thanksgiving. The search returns city names. The ad follows Tom (the turkey) jetting off to a destination, away from Thanksgiving celebrations.

The YouTube description just has a standard disclosure

This is a subtle showcase of how travelers can use Google Search’s AI Mode to research and make plans for their holidays. This is apparently the first of a series, with a Christmas version to follow. This follows previous campaigns made with Veo 3 from marketers, including vitamin maker Ritual, Coign, and prediction-market startup Kalshi.

The company doesn’t explicitly say that the ad was created with AI. However, the YouTube description has a standard disclosure for “altered or synthetic content,” but there’s no mention of Veo 3. Robert Wong, vice president of Google Creative Lab, told The Wall Street Journal that this was intentional. He adds that consumers don’t care if it’s AI or not.

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Google Translate Now Lets You Prioritize Precision Over Speed

AH Google Translate 2024 image 2

Google Translate is rolling out one of its biggest changes in years. The popular service is getting a direct feature selection that puts users in control of their translations. A new model picker, which is beginning to appear for some Google Translate users, allows you to choose between prioritizing speed or accuracy for text translations.

This update signals a deeper integration of large language models—likely leveraging Gemini AI. The platform has always offered fast, on-the-fly results. However, this change aims at those more complex cases that require more power and precision for a correct translation.

Google Translate gets Accuracy vs Speed picker for complex translations

The new feature adds a visible “model picker” button under the Google Translate logo. Users can tap this indicator to toggle between two modes. The Advanced setting is the default option. The “Advanced” option uses a model designed specifically for higher accuracy in complex translations. Early testing confirms this mode significantly improves contextual understanding and literary accuracy compared to the standard system.

Meanwhile, the Fast alternative is optimized for speed and efficiency. It’s best suited for those moments when you need quick, basic results without waiting for the full power of the advanced model to load.

The model picker only applies to typed text translation requests, which leaves live translation features unaffected. For now, the feature is visible only to a small selection of users, primarily on the iOS version of the app. Plus, the Advanced mode currently supports only a select few language pairs, such as English-French and English-Spanish. This limited scope is likely because running high-accuracy models requires significant computing resources.

Google Translate’s new “Accuracy vs Speed” option leads to speculation about pricing. Google has recently placed more advanced features under its Google AI Pro subscription umbrella. Google Translate has historically been free for everyone. But the company may eventually choose to restrict access to the high accuracy “Advanced” model to its paying subscribers. Regardless of the final pricing strategy, this feature is a nice step forward. It transforms the app into a more flexible service where users can actively choose the level of AI power they need.

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It’s Not Just Apple’s iPhone 17: Google’s Pixel 10 Is Also Selling Like Hot Cakes In The US

Google smartphone with logo in a dimly lit room.

Google's Pixel 10 smartphone lineup is enjoying unprecedented success in the US, as per the latest report from Counterpoint, which paints a broadly encouraging picture of the American smartphone market, especially when viewed together with the concurrent success of Apple's iPhone 17 lineup. Counterpoint: "Google’s Pixel sales in the US jumped 28% YoY in September 2025, marking a single-month sales record for the OEM" According to Counterpoint's North America Handset Channel Share Tracker, Google recorded a year-over-year jump of 28 percent in its Pixel sales during September 2025, constituting "a single-month sales record for the OEM." The report notes: Meanwhile, […]

Read full article at https://wccftech.com/its-not-just-apples-iphone-17-googles-pixel-10-is-also-selling-like-hot-cakes-in-the-us/

Apple Throws In The Towel, Asks Google To Design A Custom Gemini LLM For Siri

Person presenting in front of a screen displaying Apple Intelligence with features like Reduce Interruptions and Summaries in Messages.

Apple appears to have conceded defeat apropos its in-house Siri revamp strategy, and is now leaning on Google to design a custom Gemini-based Large Language Model (LLM) to power the new Siri in the cloud. Mark Gurman: Apple is paying Google to design a custom Gemini AI model for its Private Cloud Compute framework The legendary Apple tipster, Bloomberg's Mark Gurman, reported in his latest 'Power On' newsletter that the Cupertino giant seems to have thrown in the proverbial towel when it comes to creating an in-house AI model to power the revamped Siri's upcoming features, all couched under the […]

Read full article at https://wccftech.com/apple-throws-in-the-towel-asks-google-to-design-a-custom-gemini-llm-for-siri/

Everyone Predicted Google's Death in 2024, Google Hit 95% Market Share Instead

Google AI Search Evolution Pavel Danilyuk Pexels

Remember when ChatGPT launched and everyone predicted Google’s search empire would crumble? Yeah, about that. Here’s the reality check nobody saw coming. A massive new report from Datos, a Semrush company, just analyzed billions of desktop searches from millions of users across the US and Europe. The data reveals an unexpected AI search evolution: Google isn’t just surviving the revolution, it’s absolutely crushing it with a 95% market share in both regions.

And as for all those headlines about OpenAI killing Google with ChatGPT’s search features? Turns out they were way off base.

AI Was Supposed to Win. It Didn’t.

Don’t get me wrong. ChatGPT and its AI buddies have definitely made an impact. Usage has nearly tripled over the past year. More than 30% of US desktop users and over 40% of Europeans are now using ChatGPT. Tools like Gemini, Claude, and Perplexity have their loyal fans too.

On the surface, it sounds like Google might have just lost 30-40% of its users to AI. But here are some numbers to put it into perspective: AI tools only make up about 1.3% of total browsing activity.

Despite every tech pundit on Twitter declaring that AI would replace Google, it barely makes a dent in how people actually search for stuff online. AI isn’t replacing traditional search at all. It’s just another tool in your digital toolbox. You might ask ChatGPT to help you debug some code or brainstorm ideas. Then you’ll hop over to Google’s AI Mode to find that new Thai restaurant or check if your favorite shoes are on sale.

The Zero-Click Problem Nobody’s Talking About

Okay, so Google’s not dead. However, it does have one major issue that publishers are grappling with. Zero-click searches.

Almost 27% of Google searches now end without anyone clicking anything. This is up from 24.4% just a year ago. People are getting their answers right there on the search results page and calling it a day.

For anyone running a website or trying to drive traffic, this is kind of scary. You’ve done all your SEO homework, you put in the effort into crafting the best articles. All this just so you could rank number one on Google. But then you still get zero visitors because Google just answered the question itself. And the worst part is that these answers might have been scraped from your own website.

Google’s AI Overviews feature is a big part of this. These AI-generated summaries now show up in over 13% of searches, and that number keeps climbing. Some estimates say they could appear in more than 80% of informational searches soon.

In August, Google straight up denied that AI search was hurting website traffic. Publishers weren’t buying it. Multiple reports showed traffic tanking, especially for news sites, but Google said everything was fine.

Reddit Is the Real Disruptor

But if you really want to know what’s actually shaking up the search game, it’s not some fancy AI tool. It’s an oldie but goodie: Reddit.

The community-driven platform has absolutely exploded in popularity. It’s overtaken Facebook in desktop visits in the US and is catching up fast in Europe. Reddit now sits comfortably in the top five destinations people reach from search engines, right alongside YouTube, Amazon, Wikipedia, and Facebook.

This is because people are tired of reading polished, SEO-optimized garbage that tells them nothing useful. When you Google “best budget laptop Reddit,” you’re saying loud and clear that you want real opinions from real people, not some affiliate marketing nonsense. Reddit got so valuable that Google paid them $60 million for access to their data to train AI models.

This is actually a fascinating turnaround. In the past, websites strived to provide readers with neutral commentary and let them make the decisions themselves. But now? We’re missing the human touch so much that sometimes diving deep into an echo chamber like Reddit might yield more interesting (and controversial) opinions and perspectives that traditional websites might not have.

AI Can’t Kill What It Can’t Replace

While AI is stealing traffic from some sites, it’s completely failing to disrupt others.

YouTube remains untouchable. It’s the top destination from traditional search in both the US and Europe. It’s also the second-most visited site from AI tools.

But why can’t AI touch video content? Because watching someone actually do something is way more valuable than reading about it. You can’t replace a 10-minute tutorial on fixing your sink with a text summary. Try learning a new dance move from ChatGPT. Good luck with that.

This reveals something important about what AI is actually disrupting. Sites offering basic, factual, “evergreen” content are getting hammered. Wikipedia, for example, lost 5% of its human traffic year over year while bots and scrapers grew massively. Stack Overflow, Chegg, and similar Q&A sites are bleeding traffic.

But platforms offering fresh perspectives, community discussions, and video content? They’re actually thriving. YouTube’s citation rate in AI answers jumped from 37% to 54%. Reddit gets mentioned by ChatGPT as often as it gets cited. These platforms offer something AI can’t replicate: real human experiences and visual demonstrations.

The New Rules for Surviving AI Search

So, what does this mean for anyone trying to drive traffic or build an audience? It’s time to toss out the old playbook and start writing a new one. Creating generic “what is” articles and “how to” guides used to be a solid strategy. Now? AI just scrapes that content, summarizes it, and nobody ever visits your site.

Some publishers are already shifting their strategy. Instead of cranking out evergreen content that AI can easily replicate, they’re focusing on what AI can’t steal: original research, unique data, customer stories, and fresh perspectives that haven’t been said a million times before.

Think about it this way: ChatGPT can tell you what SEO is. But at the same time, it can’t tell you about the weird bug you just discovered in Google Search Console this morning. AI can explain Reddit. But can it spill the tea unfolding in your favorite subreddit right now?

From what we’ve gathered, the content that survives is either too specific for AI to care about, too fresh for AI to have learned yet, or too personality-driven for AI to replicate. As for everything else? Well, you might think of it like roadkill on the information superhighway.

We’ve Seen This Panic Before

The fear and resistance around AI search evolution isn’t new. We’ve watched this exact movie play out before.

There are strong parallels between how traditional artists reacted to the rise of digital art and how some content creators today feel about AI-generated content. When digital art first emerged, many traditional artists felt threatened, dismissed it as “cheating,” or questioned its legitimacy as “real art” because it offered new tools and shortcuts that made certain aspects of creation easier or faster.

Now, doesn’t that sound familiar?

Early reactions to digital art in the 2000s mirror today’s AI anxiety perfectly. Traditional artists viewed digital tools with skepticism, often calling it “not real art” because it lacked the physicality and manual skill associated with traditional mediums. Some artists felt that digital tools made art creation too easy, reducing the perceived value of the artist’s effort and skill. There was intimidation, as digital art allowed for rapid production and easy corrections, which contrasted with the more labor-intensive and irreversible nature of traditional art.

Just as digital art was once seen as a threat to traditional art, AI-powered search tools are now viewed by some as a threat to traditional websites and publishers. Both faced backlash for being labeled as “cheating” or “not legitimate,” often due to misunderstandings about the creative process and the skills required.

Over time, digital art gained acceptance as artists and audiences recognized that it required its own unique set of skills and creative decisions, much like traditional art. A similar evolution is happening with AI search right now. The tools aren’t replacing the craft. Instead, they’re expanding what’s possible.

So What’s the Verdict?

Google’s 95% market share isn’t going anywhere. ChatGPT’s search tools didn’t kill traditional search. They just gave us another option.

The real story of this AI search evolution isn’t about AI destroying Google. It’s about how we’re all learning to use multiple tools for different jobs. You’ve got Google for quick facts and finding stuff. You can also use ChatGPT for brainstorming and complex questions. Then, you can always hop on Reddit for real opinions, and finally, YouTube for how-tos.

Some things obviously need to be addressed. Zero-click searches are forcing websites to completely rethink their strategy. Generic content is dead, and community platforms and video are winning.

As for the AI revolution everyone predicted, it feels more like a gentle evolution in search. The reality is less dramatic than the headlines suggested, but way more interesting when you look at how people actually use the internet now.

So, maybe the future of search isn’t about one platform winning. It’s about all of them carving out their own space. Now, it’s up to content creators learning which types of content are worth making in an AI-powered world.

The post Everyone Predicted Google's Death in 2024, Google Hit 95% Market Share Instead appeared first on Android Headlines.

Spooky season catches up with Google's Android statues

Android statue logo AM AH

Halloween is a special time of year for many in the US, as it allows them a reason to acquire and scarf down copious amounts of sweets or hand them out to others to do the same, and it’s a reason to dress up in costume and hang spooky decorations, much like Google has recently done with its Android statues around the company campus.

Yes, Google is going all in on spooky season with the Android statues, placing decorations around parts of the campus, and draping ghostly or web-like decorations across statues. One statue now has a sheet over it to disguise the statue as a simple ghost. Meanwhile, another is wrapped in fake spider webs with a few rather sizeable fake spiders crawling all over it. Google has even thrown fake webbing over Stan the dinosaur while placing a few “trick or treat” signs in the ground around it.

Will Android statues get decorations for holidays other than Halloween?

Halloween is the perfect time to spread around some decorations, especially if it’s one of your favorite holidays. Seeing Google decorate its Android statues for Halloween begs the question of whether or not it would do the same for others. We couldn’t find any evidence of this being done before, but there’s no reason to suggest that it wouldn’t be done in the future. Seeing as how other holidays like Thanksgiving and Christmas are celebrated widely around the country, it would make sense for Google to decorate the Android statues during those times as well.

The images showing the Halloween decorations originated from a user named rafal_wziatek on Instagram, and were spotted by Search Engine Roundtable’s Barry Schwartz. While there are just these few images that were taken, it’s probably a safe bet that other statue decorations could be found elsewhere.

And if more decorations were abound, then there’s a good chance Google plans on being festive with the statues and around campus during other big holidays. This is just speculation, of course. But it’s fun to think about during these times, imagining statues of the Android mascot being dressed up to match the theme of the holiday.

Android Statues Halloween Decorations

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Amazon’s Anthropic investment boosts its quarterly profits by $9.5B

Amazon just opened Project Rainier, one of the world’s largest AI compute clusters, in partnership with Anthropic.

Amazon’s third-quarter profits rose 38% to $21.2 billion, but a big part of the jump had nothing to do with its core businesses of selling goods or cloud services.

The company reported a $9.5 billion pre-tax gain from its investment in the AI startup Anthropic, which was included in Amazon’s non-operating income for the quarter.

The windfall wasn’t the result of a sale or cash transaction, but rather accounting rules. After Anthropic raised new funding in September at a $183 billion valuation, Amazon was required to revalue its equity stake to reflect the higher market price, a process known as a “mark-to-market” adjustment.

To put the $9.5 billion paper gain in perspective, the Amazon Web Services cloud business — historically Amazon’s primary profit engine — generated $11.4 billion in quarterly operating profits.

At the same time, Amazon is spending big on its AI infrastructure buildout for Anthropic and others. The company just opened an $11 billion AI data center complex, dubbed Project Rainier, where Anthropic’s Claude models run on hundreds of thousands of Amazon’s Trainium 2 chips.

Amazon is going head-to-head against Microsoft, which just re-upped its partnership with ChatGPT maker OpenAI; and Google, which reported record cloud revenue for its recent quarter, driven by AI. The AI infrastructure race is fueling a big surge in capital spending for all three cloud giants.

Amazon spent $35.1 billion on property and equipment in the third quarter, up 55% from a year earlier.

Andy Jassy, the Amazon CEO, sought to reassure Wall Street that the big outlay will be worth it.

“You’re going to see us continue to be very aggressive investing in capacity, because we see the demand,” Jassy said on the company’s conference call. “As fast as we’re adding capacity right now, we’re monetizing it. It’s still quite early, and represents an unusual opportunity for customers and AWS.”

The cash for new data centers doesn’t hit the bottom line immediately, but it comes into play as depreciation and amortization costs are recorded on the income statement over time.

And in that way, the spending is starting to impact on AWS results: sales rose 20% to $33 billion in the quarter, yet operating income increased only 9.6% to $11.4 billion. The gap indicates that Amazon’s heavy AI investments are compressing profit margins in the near term, even as the company bets on the infrastructure build-out to expand its business significantly over time.

Those investments are also weighing on cash generation: Amazon’s free cash flow dropped 69% over the past year to $14.8 billion, reflecting the massive outlays for data centers and infrastructure.

Amazon has invested and committed a total of $8 billion in Anthropic, initially structured as convertible notes. A portion of that investment converted to equity with Anthropic’s prior funding round in March.

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