Using AI to write your dating app messages is no longer a surprise. More than 1 in 4 singles in the US have already used AI to help with their dating life, a figure that jumped 333% in a single year.

Dating apps are actively encouraging it, too. Hinge is pushing AI features into its app, Bumble has its own Bee AI assistant, and Facebook Dating now has an AI chatbot to help you find love. However, a new peer-reviewed study from Constructor University suggests that it might not be the romantic shortcut everyone hoped for.

What the Cyrano Effect reveals about AI-assisted romance

Named after the French play about a man who writes love letters on behalf of someone else, the Cyrano Effect describes what happens when AI becomes the real author of your romantic communication.

Researcher Dr. Lennart Ante interviewed 45 dating app users, split between people who used AI to write their messages and people who received them. AI users rarely saw themselves as cheaters. Many framed ChatGPT as social anxiety medication in text form, a phrase one participant actually used. Others treated online dating as a numbers game to optimize before the real connection happens in person.

Meanwhile, the people on the receiving end of these messages had a very different experience. Words like betrayed, violated, and catfished came up repeatedly. Several became so suspicious of well-written messages that one described every conversation as an exhausting Turing test.

The moment AI-assisted charm meets real life and falls completely flat

One participant described spending the day before a date rereading the AI chat, trying to memorize how to act, calling it “cramming for an exam, but the subject is this fake version of yourself.” Dr. Ante calls this the Persona-to-Person Leap, the anxiety-ridden moment when an AI-polished online persona has to show up in real life without any algorithmic backup.

Recipients described meeting someone who seemed charming online but turned up quiet and awkward in person. The AI had set a bar that the real person could not clear.

The study does not call for outright bans on AI dating tools, noting they can help people with social anxiety or language barriers. But it argues that when the words that spark a connection are not yours, the connection tends not to survive beyond the first coffee.

Marshall designed the Stanmore III, priced at $249.99 (was $400), to capture the look and feel of its famous amplifiers while giving people a straightforward way to fill a room with music. The result sits in that sweet spot between lifestyle speaker and serious audio hardware, and it earns plenty of praise as one of the stronger home Bluetooth options available. A cloth grille stretches across the front with the gold Marshall script logo front and center. Leatherette sides and top give it a durable, premium texture that feels good to the touch. Brass-finished knobs and switches on the upper panel complete the vintage amplifier impression without looking like a costume piece.

Listeners keep returning to the top-mounted controls because they work so well. A large volume knob sits between the bass and treble dials, each having clear markings and a comfortable weight. A button to switch between Bluetooth and wired inputs is right there in the mix, as are extra playback buttons for pause, skip, and connection, making things refreshingly clear. In terms of what’s going on within the boxy cabinet, a five-inch woofer handles the low end with the help of a rear bass reflex vent, while two smaller tweeters are directed outwards to expand the stereo image significantly over the previous Stanmore model. You have three class-D amplifiers that generate 80 watts of power, cover frequencies from 45 Hz to 20 kHz, and reach a peak of 97 dB at one meter.

Sale

Marshall Stanmore III Bluetooth Home Speaker – Loud Stereo Sound with Bass and Treble Controls | Plug-in…

• HOME-FILLING SOUND: Stanmore III has an even wider soundstage than its predecessor, delivering immersive, home-filling Marshall signature sound.
• PAIR, PLAY AND TURN IT UP: Stanmore III is straight to business, so you can just pair and play without the hassle of a complex set-up.
• NEXT-GENERATION BLUETOOTH: Stanmore III is ready for the future of Bluetooth technology and has been built to deliver next-generation Bluetooth…

The sound is full-bodied and robust, but not in a neutral way. The bass can really dig in and stay rather tight even when the thing is burning away. The mids are clear enough to pick out the singers and guitars, while the treble adds just enough brightness to keep things interesting. This tuning is especially handy for rock and metal, but the actual tone knobs allow you to tune down or amplify the desired bits as much or as little as you need, whether they are pop, techno, jazz, or classical.

Bluetooth 5.2 can easily manage wireless connections up to 30 feet away. Phones, PCs, tablets, and other devices pair fast and consistently. If you don’t require the sophisticated wifi or are working with older equipment, the rear panel includes dual RCA inputs and a 3.5 mm auxiliary connector for connecting. Most of the time, you can just plug it into a turntable, computer, or mixer with no problems.

Marshall’s phone app allows you to change the sound based on how it’s configured, including location compensation to help the sound out when it’s on a shelf, against a wall, or out in the open, as well as firmware upgrades. The physical knobs control the majority of the settings, so you won’t need the app.

The Stanmore III is 35 cm wide, 20.3 cm tall, and 18.8 cm deep. It’s large enough to be noticeable on your credenza or lowboard, but not so big that it’s difficult to handle, and its weight of 4 and a quarter kilograms makes it appear quite substantial once placed. Some rubber is placed on the bottom to protect the area it is sitting on and prevent it from sliding around.

Stellenbosch University’s Jeran Cloete and Dian Spear, South African National Biodiversity Institute’s Jessica da Silva, University of Fort Hare’s Lavhelesani Dembe Simba and University of Cape Town’s Peter J Carrick discuss AI’s use in conservation efforts.

Conservationists analyse overwhelming volumes of ecological data in their work. For example, they might need to process decades of weather data or the movements of millions of insects. Up until now, these scientists and decision makers have had to manually find and sort information, then use statistical tools which often oversimplify the source information.

Artificial intelligence (AI) tools now promise to help with all that. But can they deliver on the promise?

They are far from perfect. It’s been shown that they can confidently make up information and amplify hidden biases in their training data. And different AI tools have different uses, strengths and weaknesses. They need to be chosen carefully.

AI featured among the top 10 emerging issues in biodiversity conservation in South Africa in a recent horizon scan that we undertook. As part of a group of 14 experts in biodiversity conservation, we drew on discussions within our diverse professional networks, literature and news trends to identify issues likely to emerge and intensify over the next five to 10 years.

The issues fell into three main groups: technological disruption, regulatory complexity and infrastructure impacts.

Among them, AI featured as both an opportunity and a risk for future biodiversity conservation.

AI opportunities

Our scan brought to the surface the power and pitfalls of AI in the kind of work we do.

One potential use of AI is in tracking. Tracking animals and insects at scale is essential for conservation decisions. Birds and whales migrate across the planet every year, and insect numbers change through the seasons in the billions. Image recognition AI can process camera trap data to help populate databases such as Wildlife Insights and provide information about animal behaviour to help predict the impacts of global processes like climate change and industrial development on biodiversity.

Mass monitoring also records people sharing those landscapes with animals. This surveillance can be used to detect illegal wildlife harvesting (poaching) or avoid human-animal conflict.

Land use is another area of conservation where AI offers opportunities. Using economic data together with landscape information, custom AI models can be trained to predict deforestation, allowing preventive action, or choose land with high conservation value for the best price.

Ecosystem complexity needs to be summarised and condensed into maps and categories to inform broad landscape-level decisions. Using AI increases the amount of data that can be summarised.

Chatbots are one kind of AI tool that can distil information from huge amounts of text. For example, they can be used to monitor product listings and detect illegal wildlife trade online the moment it occurs. They can read hundreds of scientific publications to help decide which species are at risk of extinction. They can draw on many different sources to create environmental impact assessments; the basis of land development decisions, offering a tempting shortcut around a time-consuming reporting task.

But we also identified downsides and risks.

The risks

Local communities living off the land might experience the mass surveillance as an intrusion. Alienation of local communities in this way could cause them to oppose conservation governance and sabotage technology in the field to protect their privacy.

Another challenge is that the technology itself has limitations. Using AI for tracking animals means specially training image and audio identification systems to work with each ecosystem and piece of hardware. An AI model is only as good as the effort that was put into teaching it. For example, training a model on recordings from a city might cause it to ‘hear’ pigeons everywhere, producing a confident but incomplete list of birds from natural area data.

Another worry about AI is that replacing human involvement could lead to job losses. When used for animal identification, it could contribute to an ongoing decline in taxonomy knowledge which is more severe in biodiversity-rich, low-income countries in Africa. That knowledge is essential for improving and correcting AI systems.

We also found reasons for concern in land use applications.

The risk is that using AI tools for map making could disconnect the map from reality on the ground by replacing human judgement in the field and favouring data sources compatible with AI methods. A skilled ecologist surveying an ecosystem will notice unexpected things that were not specified during the planning stage. For example, speaking with local people may reveal planned farming expansion or harvesting wildlife activities. An AI system would miss this critical context because it can only read information that has been digitised.

AI can’t see animals that evade cameras or identify animals that were not expected to occur in that location (images that it was not trained on). It also can’t speak to humans to discover their intentions or uncover ecological wisdom passed down from their ancestors.

Chatbots too need to be used with caution. They can generate or embed fictional information. Even when drawing on real information, they often reflect bias in their training data, favouring research and perspectives from well-represented institutions in the global north, where publications have historically been dominated by men in high-income universities.

Uncritical use of chatbot-generated recommendations could lead to poor environmental decisions. For example, it might suggest planting trees without considering diverse ecosystems like Africa’s savannah grasslands.

Using chatbots as a shortcut to summarise knowledge and inform conservation decisions in Africa will reinforce colonial systems and marginalise indigenous communities and knowledge.

Careful use of AI

Strong regulation of the use of AI in environmental science is therefore a moral and legal imperative. The sector needs clear safeguards, standards and oversight mechanisms to prevent faulty or inappropriate AI outputs from influencing decisions. It needs:

• validation protocols to catch fabricated information
• limitations to prevent chatbots from overriding human knowledge and perspectives
• mandatory disclosure of AI prompt histories
• standards for describing training datasets so that appropriate models can be selected.

The explosion of AI presents a powerful opportunity for conservation if we use the right tools with care. If we replace human judgement with unchecked automation, we risk becoming tools of the very systems we built.

By Jeran Cloete, Dian Spear, Jessica da Silva, Lavhelesani Dembe Simba and Peter J Carrick

Jeran Cloete is a PhD candidate in conservation ecology and entomology at Stellenbosch University. Dian Spear is a senior research scientist at Stellenbosch University. Jessica da Silva is a principal scientist at the South African National Biodiversity Institute. Lavhelesani Dembe Simba is a lecturer of entomology at the University of Fort Hare. Peter J Carrick is an honorary research fellow at the Institute for Communities and Wildlife in Africa, for the University of Cape Town.

Don’t miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic’s digest of need-to-know sci-tech news.

Most people use Google services every day without thinking about how much activity gets recorded. This is very useful for Google, as it allows it to personalize the information presented to its users. But some individuals would rather limit the number of entries made in their accounts. The good news is that Google offers various options for managing one’s activity history.

Before you delete your Google search history, though, there are certain things that should be taken into consideration after deletion. For one, deleting activity might lead to fewer targeted advertisements appearing in front of you. On the other hand, Google may still hold on to some of the information for reasons such as safety or legal concerns. Activity collection will also continue if you have not disabled your tracking preferences. It is always a good idea to check your privacy settings from time to time.

Delete Your Google Search History

Follow the steps below to clear your Google activity history:

1. Visit Google My Activity dashboard.
   
2. Log in to your Google Account, if required.
3. Select the activities that need to be deleted.
4. Select the Delete option.
   
5. Select All time as the time range for deleting activity.
6. Select Delete once again to confirm.

Remove Specific Items From Google History

If you only want to remove certain activities, follow these steps:

1. If you only want to remove certain activities, follow these steps:
2. Go to the Google My Activity page.
3. Log in to your Google account when prompted.
4. Review your activity logs or search for them using the search bar.
   
5. Select the activity you wish to delete.
6. Click on Delete to delete that particular record.

Turn Off Activity Tracking?

Google allows users to pause activity tracking in a few simple steps:

1. Access your Google account and navigate to Data & Privacy.
2. Look for the activity controls.
3. Choose one of the types of activity, like Web & App Activity.
   
4. Click on the activity settings menu.
5. Choose Turn Off or Turn Off & Delete.

Meta has launched AI Mode on Facebook, a new search experience that uses Meta AI to pull answers from public posts across the platform. The feature surfaces information from Facebook Groups, Reels, and Marketplace listings, turning years of user-generated content into a searchable knowledge base. It is rolling out now to users in the United States.

AI Mode sits inside Facebook’s existing search bar. When a user asks a question, Meta AI generates a conversational answer drawn from public content rather than returning a list of links. The system can recommend products from Marketplace, surface advice from Group discussions, and pull clips from Reels that match the query.

The feature builds on Meta’s broader push to embed AI across its platforms. In May, the company launched Forum, a standalone Reddit-style app built on Facebook Groups that includes an AI “Ask” tab for querying Group discussions. AI Mode extends that same logic to the main Facebook app, giving Meta AI access to a far larger pool of public content.

The timing is notable. Google’s AI search overhaul has accelerated a traffic collapse for publishers, with zero-click searches now accounting for roughly 60 per cent of all queries. Meta is applying the same approach to social content, synthesising public posts into AI-generated answers instead of sending users to the original discussions.

Meta did not say whether Group admins or individual users can opt their public posts out of AI Mode results. The company has not disclosed how it handles posts that were public when written but later changed to private, or whether deleted posts are excluded from the training data. These are significant gaps for a feature that treats user content as raw material for an AI system.

AI Mode is one piece of a much larger AI rollout. Meta now offers AI-generated animated profile pictures, introduced in February. A Marketplace auto-reply feature launched in March uses Meta AI to draft responses to buyer inquiries. A creator assistant tool, available since June 3 in the US, India, and Canada, helps content creators with captions and engagement suggestions.

The company is also building a subscription business around AI. Facebook Plus and Instagram Plus launched on May 27 at $3.99 per month each, offering ad-free browsing and premium features. Meta has announced two additional AI-specific tiers coming later this year: Meta One Plus at $7.99 per month and Meta One Premium at $19.99 per month, which will include access to more advanced AI models and higher usage limits.

The subscription pricing positions Meta’s AI features against standalone chatbot services. ChatGPT Plus costs $20 per month. Google’s Gemini Advanced is $19.99 per month. Meta is betting that embedding AI into apps people already use every day, rather than asking them to open a separate tool, will drive adoption more effectively.

Whether that bet pays off depends on accuracy. AI-generated answers drawn from social media posts carry a higher risk of misinformation than those sourced from curated databases or verified publishers. Facebook Groups contain medical advice from unqualified strangers, financial tips from anonymous accounts, and product recommendations that may be paid promotions. Meta AI does not distinguish between a dermatologist’s post and a conspiracy theorist’s, at least not in any way the company has publicly described.

Google’s AI Overviews have already demonstrated the problem at scale. An analysis by Oumi found that Google’s AI answers are roughly 91 per cent accurate, but with trillions of queries per year, that error rate translates to millions of incorrect answers served daily. Meta’s content pool is arguably less reliable than Google’s web index, and the company has not published comparable accuracy metrics for AI Mode.

The feature also raises questions about the value exchange between Meta and its users. People post in Facebook Groups to help each other, share experiences, and build communities. AI Mode extracts that value and repackages it as Meta’s product, without compensation or clear attribution to the original authors.

Meta has been restructuring aggressively to fund its AI ambitions. The company cut roughly 21,000 jobs across 2023 and 2024, then announced another round of layoffs in early 2026 focused on underperforming employees. Mark Zuckerberg has described AI as the company’s top priority, with capital expenditure on AI infrastructure expected to reach $60 to $65 billion in 2025 alone.

AI Mode is the latest product to emerge from that spending. It is a straightforward play: Facebook has decades of public content that no competitor can match, and Meta AI now has a front door to all of it. The question is whether users will trust an AI that answers their questions by mining their neighbours’ posts, and whether the people whose posts are being mined will be comfortable with that arrangement.

Considering all the Android 16 QPR updates and the new ones announced at The Android Show and Google I/O 2026, Android 17 is definitely shaping up to be one of the most ambitious updates the company has shipped in years. 

Between Gemini Intelligence that gets things done on your behalf, the new security features, and productivity-based features like App Bubbles, there’s a lot to unpack. The stable update is expected in June or early July 2026, but plenty of the upcoming features are already live on the Android 17 Beta version for compatible Pixel devices. 

Here’s everything we know so far, including the latest Android 17 news, release timeline, how to download the beta version, compatible devices, and all the features that might reach a wider audience with the upcoming stable build release.

Android 17: Latest news

• June 10, 2026 Google released Android 17 QPR1 Beta 4 for Pixel devices. 
• June 1, 2026 Android 17 Beta 4.1 went live with a couple of new features like Continue On. 
• May 20, 2026 Android 17 is getting a feature that makes switching between Android devices feel much more natural than it currently does. The feature is called Continue On.
• May 17, 2026 Google is working on an anti-doomscrolling feature called Pause Point, which will arrive with Android 17 for all users. 
• May 12, 2026 At the Android Show 2026, Google announced several developments including Gemini Intelligence, which itself is a suite of AI-powered features, along with Chromebooks, and Android 17. 
• May 12, 2026 The upcoming Android version will get a new location button that grants an app precise location access only when you’re using it. 
• May 12, 2026 Instagram is getting Ultra HDR capture, playback, built-in video stabilization, and Night Sight support for flagship smartphones with Android 17. 
• April 8, 2026 With Android 17, gamers should be able to remap their controllers on a system level. 

Android 17 release timeline

The Android 17 release cycle looks slightly different from anything Google has done before, and that’s largely because Google retired its long-standing Developer Preview this year. Instead of the early, developer-only preview that used to kick off each Android release, Google has now placed the Android Canary channel. 

While Android 17 reached platform stability in April 2026, Google just dropped the Beta 4.1 upgrade on June 3, 2026, an unscheduled big-fix drop addressing the lingering issues ahead of the stable launch, which is also expected to roll out in June 2026. 

How to download the Android 17 Beta?

For now, Android 17’s beta version is available to anyone who has a supported Pixel device. To download the beta, you’d first have to enroll yourself in Google’s official Beta Program. 

However, before you proceed, there’s one important caveat: if you leave the beta program before the stable Android 17 release, Google will require a full factory reset of your device before returning it to the stable Android 16 channel. 

The steps required to install the Android 17 beta are given below.

• Head to Settings > System > Backup and initiate a manual backup to your Google account. 
• Enroll your device in the Android Beta Program by signing in to the portal with the Google account tied to your Pixel, and locate your device in the list of eligible hardware. 
• Once you locate your device, tap “Opt in” to enroll. 
• Now, on your compatible Pixel device, go to Settings > System > System update and tap “Check for update.” The beta package should appear in a few minutes after you enroll. 
• Download the update and wait for the installation to run in the background. You’ll see a restart prompt once your phone is ready. 

Which devices support Android 17?

Google Pixel

Every Pixel smartphone that runs on a Tensor chip is eligible for Android 17. This includes the older models from the Pixel 6 series, all the way up to the latest Pixel 10 family, both flagships and the A-series devices. More than 20 Pixel devices will receive the Android 17 stable update. 

It’s worth mentioning here that Google extended the software support for the Pixel 6 series, including the regular Pixel 6, Pixel 6 Pro, and the Pixel 6a, keeping them in the update window through October 2026. However, Android 17 will be the final major operating system update for these devices. 

Refer to the complete list of supported Pixel devices below. 

• Pixel 6, Pixel 6 Pro, Pixel 6a
• Pixel Tablet
• Pixel 7, Pixel 7 Pro, Pixel 7a, Pixel Fold
• Pixel 8, Pixel 8 Pro, Pixel 8a
• Pixel 9, Pixel 9 Pro, Pixel 9 Pro XL, Pixel 9 Pro Fold, Pixel 9a
• Pixel 10, Pixel 10 Pro, Pixel 10 Pro XL, Pixel 10 Pro Fold, Pixel 10a

Samsung Galaxy

Samsung’s new custom skin, One UI 9, is based on Android 17. The skin is already available as part of the One UI 9 beta program (through the Samsung Members app), which went live for Galaxy S26 users in May 2026 in regions like the United States, United Kingdom, Poland, South Korea, and India. This makes Samsung one of the earliest non-Google partners to roll out the Android 17 beta. 

Regarding the stable launch, Samsung is expected to roll out One UI 9’s stable version with its second major hardware event of the year, Galaxy Unpacked in July, along with its latest generation of foldables. Older lineups like the Galaxy S25 and Galaxy S24 series could get the stable OTA update around the same time. 

However, the S23 series, along with the mid-range A-series devices and the Galaxy tablets, could get the stable release later in 2026. 

Devices expected to receive One UI 9 are given below. 

• Galaxy S26, Galaxy S26 Plus, Galaxy S26 Ultra
• Galaxy S25, Galaxy S25 Plus, Galaxy S25 Ultra, Galaxy S25 Edge, Galaxy S25 FE
• Galaxy S24, Galaxy S24 Plus, Galaxy S24 Ultra, Galaxy S24 FE
• Galaxy S23, Galaxy S23 Plus, Galaxy S23 Ultra, Galaxy S23 FE
• Galaxy Z Fold 8 Ultra, Galaxy Z Fold 8, Galaxy Z Flip 8 (upcoming devices)
• Galaxy Z TriFold
• Galaxy Z Fold 7, Galaxy Z Flip 7
• Galaxy Z Fold 6, Galaxy Z Flip 6
• Galaxy Z Fold 5, Galaxy Z Flip 5
• Galaxy A57, Galaxy A37, Galaxy A56, Galaxy A36
• Galaxy Tab S11 series 
• Galaxy Tab S10 series

Third-party OEM partners

For the first time, Google has opened the Android 17 beta pipeline to international hardware partners during the Beta 4/4.1 stability phase. Nine manufacturers currently have devices in the official beta program, including OnePlus, Xiaomi, Vivo, Oppo, Honor, iQOO, Lenovo, and Realme. 

Most of these don’t sell smartphones in the United States, but they’re quite popular in other major markets like India. Stable Android 17 rollouts for these brands are expected to begin in Q3 2026, along with their respective software skins, such as OxygenOS 17 for OnePlus and HyperOS 4 for Xiaomi. 

What’s new in Android 17?

Android 17 is the most feature-loaded operating system upgrade Google has shipped in years. The credit goes partly to the new features confirmed at The Android Show and Google I/O 2026, and partly to a wave of Pixel-exclusive Android 17 QPR updates that will finally reach a broader audience through the stable update. 

While Google has already confirmed a bunch of new features for the stable Android 17 release, a couple of others introduced in Android 16 QPR updates could also make their way to other OEMs with Android 17.

Gemini AI and core UI updates

Gemini Intelligence

The most crucial announcement of The Android Show 2026, Gemini Intelligence moves Google’s AI assistant beyond voice commands and transforms it into an AI agent that is capable of performing multi-step tasks in the background, while you’re off doing something else. 

Gemini Intelligence can parse an open Chrome tab (through on-screen awareness), identify details like event times or prices, and complete bookings or fill forms in the background, using the new Gemini in Chrome and the new, smarter Autofill. You only confirm the payment details; Gemini Intelligence takes care of the rest. 

Create My Widget

Android 17 will also embrace vibe-coding (in a controlled manner) by allowing users to create their own custom widgets. The new tool will let users describe a widget in plain language and build it for them on the spot, such as one that includes a to-do list for shopping, fetches information from Daily Brief, or shows a countdown to an event marked in their calendar. 

Gboard Rambler

At the same event, Google confirmed a new feature called Rambler, which redefines what traditional speech-to-text means. 

Built into Gboard, the feature can not only remove filler words (such as “umm” or “ya”), but it can also handle awkward phrasing, mid-sentence conversions, recognize multiple languages, and produce a clean transcription of whatever you ramble (that’s where the name comes from). 

Split Notifications and Quick Settings Panels

The upcoming update will split the combined notifications and Quick Settings drawer into two different panels, wherein swiping down from the top-left corner will bring up the notifications, while swiping from the top-right will let you access the Quick Settings menu. While the redesign is mandatory on foldables and tablets, it will remain optional on smartphones. 

Independent Wi-Fi and Mobile Data Toggles

You’ll have access to two separate Quick Settings tiles for enabling/disabling Wi-Fi and mobile data, effectively reversing the rather controversial internet pill merger, which was introduced a couple of years ago. 

Hide app names from the home screen

Available in the Pixel Launcher for Android 17, this particular feature will let you remove app names from beneath the home screen icons entirely, resulting in a cleaner layout. Apple iPhones got a similar feature with iOS 18 in 2025. 

Noto 3D Emoji Overhaul

Google has redesigned all of its Noto emoji with a subtle, textured look. Called Noto 3D, these emojis will be available first with Android 17 on Pixel phones via Gboard, YouTube, and Gmail.

Android 17 Easter Egg

This is the first new Android Easter egg since Android 14. Head to Settings > About Phone > Android version, tap the version number repeatedly, and you should see a black screen with diamond-shaped dots arranged in a circle. You can connect them in any order, and it reveals the Android 17 logo. 

Live Updates display more data points

At Google I/O 2026, Google announced the Metric Style update of Android’s Live Updates framework. Designed for health, fitness, and travel apps, the Live Updates can now display up to three data points across the always-on display, lock screen, and status bar at once. 

Pill-style media app switcher

This particular feature arrived with Android 17 QPR1 Beta 3, replacing the carousel-style media control tile in the notification section with a compact card layout. This eliminates any accidental seek-bar scrubbing. 

Keyboard quick settings tile

Confirmed in Android 17 QPR1 Beta 4, the feature adds a dedicated Quick Settings tile for switching input methods like Gboard’s voice typing or Gemini.

Medical companion device profile

This new companion device profile tier gives health-critical apps a dedicated Bluetooth connection that goes around standard battery optimization settings.

Material 3 Expressive

The UI overhaul arrived with Android 16 QPR1, exclusively for Pixel devices, and should reach other Android OEMs with Android 17. It introduces bouncier, physics-based animations, and background blur effects in the app drawer and notification shade.

Forced Auto-Themed Icons

Released with Android 16 QPR2, the feature mandates that all app icons adopt the system’s chosen color theme, and not just those whose developers chose to support it. 

Expanded Dark Theme

Yet another feature from Android 16 QPR2, this one expands and applies a forced dark theme on apps that lack native support for dark mode. It also includes a per-app override setting, letting you exempt select apps from dark mode. 

Lock Screen Widgets

Launched with Android 16 QPR2 on Pixel phones, Lock Screen Widgets might expand to all supported phones with Android 17. 

Flashlight Brightness Slider

Released in Android 16 QPR3 Beta 1, this update will roll out to all Android 17 users, allowing them to access a vertical brightness slider instead of simply toggling the flashlight on or off by long-pressing the flashlight tile in the Quick Settings menu. 

Ability to remove At a Glance

With Android 17, you’ll be able to remove the At a Glance widget from the home screen on Pixel phones. This ability was first introduced with Android 16 QPR3. 

Ecosystem continuity, interoperability and auto

Continue On

Google’s answer to Apple’s Handoff lets you start a task on your Android phone, such as reading an email or editing a document, and pick it up on a nearby tablet exactly where you left off. 

Better iPhone-to-Android migration

Android 17 supports transferring contacts, messages, files, home screen layouts, and eSIM data from iPhones running iOS 26.3 or newer. 

Improved Quick Share

Google has updated its Quick Share wireless file transferring system to reduce the friction between Android and iOS devices. With Android 17, the system will detect non-Android devices quicker than it currently does. 

Mouse Cursor Flow and Pointer Acceleration Toggle

First rolled out with Android 16 QPR1, pointers now move seamlessly from the device screen to a connected external monitor without getting stuck at the edge. Furthermore, a pointer acceleration disable toggle delivers flat 1:1 movement tracking.

Android Auto dashboard overhaul

At Google I/O 2026, the company revealed its Android Auto redesign, introducing media card configurations that adapt to a broader range of infotainment display aspect ratios. The stable update will also add a swipeable card-based media app switched to Android Auto.

Content creation and gaming

Screen Reactions

Screen Reactions uses the native screen recorder to capture the screen and the video from your front camera simultaneously, stitching the video (with your reaction) directly onto what you’re recording. It will roll out exclusively for Pixel devices with Android 17. 

Smart Enhance and sound separation

Meta’s Edits app gets two more flagship-exclusive tools with Android 17: Smart Enhance and Sound Separation. While the former upscales photos and videos, the latter isolates individual audio layers from the noise, letting creators boost their vocals. 

APV support

Co-developed with Samsung, Google has integrated Advanced Professional Video (APV) support directly into the Android 17 framework. Currently available on flagships like Galaxy S26 Ultra, the storage-efficient video format will expand to more flagship devices with the upcoming update. 

Instagram updates

Google has partnered with Meta to introduce Instagram-specific updates for flagship Android devices. These include Ultra HDR capture and playback, built-in video stabilization, and Night Sight into the Instagram app. 

Floating screen recording toolbar

Confirmed with the third beta of Android 17, the screen recorder’s controls no longer live exclusively in the notification shade. Instead, they live in a compact pill overlay on the screen (during recording). 

Adobe Premiere comes to Android

Adobe’s Premiere mobile app is coming to Android this summer, with its launch timeline tied to the Android 17 stable update rollout. 

System-wide loudness management

Confirmed via Android 17’s audio framework changelogs, this particular addition automatically balances volumes across streaming apps and media sources.

Native gamepad button remapping

Google’s upcoming operating system update contains a system-level controller configuration dashboard for both USB-C wired and Bluetooth-based gamepads, allowing users to remap buttons and adjust analog thumbstick curves without using third-party keymapping apps. 

Native VVC (H.266) video decoding

Versatile Video Coding is integrated at the platform level in Android 17, with hardware-accelerated decoding on supported silicon, and can deliver the same visual quality as H.265/HEVC at about half the data rate.

Vulkan 1.4

Android 17 increases the minimum graphics API floor to Vulkan 1.4 and mandates ANGLE (Almost Native Graphics Layer Engine) support.

Productivity, multitasking, and performance

Forced app resizeability

In the fourth Android 17 beta, Google enforces app resizeability by removing the opt-out mechanism for developers that allowed them to block split screen resizing. All apps must allow users to customize their window size or split configurations. 

App Bubbles

Long-pressing any app icon in Android 17 Beta 3 or newer reveals a new Bubble option that keeps the app active as a small circular icon in one corner of the screen, helping users with two or three-app-based workflows. 

Pause Point

Pause Point adds a 10-second waiting period before opening an app you’ve marked distracting. During the pause, Android 17 offers a breathing exercise, a favorite photo memory, or an audiobook suggestion.

Split-screen adjustment arrows

Confirmed in Android 17 Beta 4, the thin window splitter between split-screen apps now features small directional arrows that users can tap to change the split ratio to 70:30 or 90:10.

Desktop Mode external monitor workspaces

Desktop Mode arrived with Android 16 QPR1 and might expand to more devices with Android 17. It transforms compatible phones into a full windowed computing experience (like Samsung DeX) when connected to an external display.

App memory limits

Android 17 Beta 4 comes with RAM usage limits on a per-app basis. Apps that exceed their allocation are closed by the system, preventing a few heavy apps from hogging all the available memory. 

Custom keyboard shortcut rebinding

The feature lets users map specific hardware key combinations to open apps or trigger system functions. It might expand to a broader range of devices with Android 17. 

Disable background blur toggle

A toggle in Settings > Accessibility > Color & motion > Reduce blur effects reduces the frosted glass effect from the user interface. It was first rolled out with Android 16 QPR2. 

Privacy and security-related updates

Bank Spoofing Protection

When a suspicious call arrives, Android silently queries the bank’s app installed on users’ phones to confirm whether a call is actually in progress from the bank’s end. If not, the call is immediately terminated. The feature won’t just work with Android 17, but Android 11 and newer versions.

Live Threat Detection

With Android, Google’s on-device AI scam scanner can now flag apps secretly forwarding SMS messages or abusing accessibility permissions to place invisible overlays that capture user inputs, and there’s a new “dynamic signal monitoring” feature as well.

SMS OTP hiding

Confirmed in Beta 2, Android 17 only allows the intended recipient apps or the device’s default SMS app to read OTPs within three hours from receiving them.

Granular contacts access picker

The upcoming Android version will introduce a contact-level permission selector instead of granting apps blanket access to the entire contacts directory.

Transparent location sharing controls

Android 17 adds a new button that surfaces which apps are actively using GPS data in real time, along with a single-tap option to revoke location access immediately.

Background audio isolation and restrictions

The audio framework enforces strict limits on background apps trying to start an audio playback, request audio focus, or adjust system volume without actively informing the user.

A new Google AI tool might be able to translate at the speed of actual conversations, allowing you to talk more naturally with someone speaking a different language from you.

Google recently unveiled Gemini 3.5 Live Translate, a new audio model designed to make real-time multilingual conversations feel more natural. Unlike traditional translation systems that process speech in turns, Gemini 3.5 Live Translate continuously listens, translates and speaks, allowing conversations to flow with only a few seconds of delay, mimicking natural speech patterns. 

The model automatically detects spoken languages and supports more than 70, enabling thousands of language pairs within a single conversation. Google says the technology is now available to developers and partners, who can integrate it into meetings, communication platforms and mobile applications.

Read more: How to Use Google’s AI Live Translation and Learning Tools Are Here

What’s new in Gemini 3.5 Live Translate

The biggest change is how translation happens. Rather than waiting for one speaker to finish before generating a response, Gemini 3.5 Live Translate performs continuous streaming translation. The result is a more fluid conversational experience with fewer awkward pauses, interruptions and delays.

The model is built for the realities of everyday communication. Google said it can operate in noisy environments and is designed to handle background sounds, overlapping voices and informal speech patterns. That makes it suitable for a wide range of use cases, including customer support calls, guided tours, classrooms, ride-sharing services and live broadcasts.

Google is also emphasizing speech quality. Instead of producing a generic synthetic voice, the system attempts to preserve elements of the original speaker’s delivery, including pacing, intonation and emotional tone. This helps the translated speech sound more natural and makes conversations easier to follow.

A new era for translations

The broader goal of Gemini 3.5 Live is to move live translation beyond occasional demonstrations and into everyday communication. By enabling near real-time multilingual conversations without requiring speakers to change how they talk, Gemini 3.5 Live Translate could make cross-language interactions more practical for businesses, organizations and individuals alike.

This seems to signal a new era in translation and international communication, as many companies are rolling out products and services to make real-time translation more ubiquitous.

Last year, Apple released the AirPods Pro 3 with the headline-grabbing feature Live Translation. Google Translate has slowly rolled out live headphone translation to Apple and Android devices since December, and even T-Mobile is testing AI-powered Live Translation phone calls. At CES in January, I wrote about a handheld device that can translate real-time vocal conversations to text, allowing me to speak to a woman in Polish, though I don’t speak a word of Polish. 

Gemini 3.5 Live is just the latest in a long line of translation products powered by AI. This growing trend shows the desire to communicate efficiently across cultures, allowing travel, language learning and understanding to be more frictionless. 

Read more: Google Translate Brings Live Headphone Translation to Apple Devices

As Meta tries to catch up in the AI race and boost engagement with its AI bot, the company announced Monday that it’s rolling out new AI features on Facebook that aim to change how users find information, create content, and interact with the platform. 

The headline update is “AI Mode,” a new way to search Facebook that uses Meta AI to surface answers pulled from public posts across the platform, including Groups and Reels. Instead of scrolling through search results, users can ask a question in plain language and get a synthesized answer based on what people are actually discussing.

This follows Meta’s quiet launch last month of Forum, a Reddit-style app that includes its own AI “Ask” tab, letting users pose questions and get answers pulled from discussions happening across Facebook Groups.

Both AI Mode and Forum’s Ask tab raise a familiar question: How reliable are answers generated from public posts and group chatter? Because the AI is summarizing content from everyday users rather than vetted sources, there’s a real risk of outdated or misleading information slipping through, a concern that’s already been raised about Google’s own AI Mode on Reddit.

Beyond search, Facebook also added editing tools that let users play around with collage cutouts and transition effects for their video montages. Another new feature is the AI-powered photo presets, allowing users to change up their look with different clothes, hairstyles, and accessories. 

Sports fans, for instance, can virtually wear their favorite team jerseys just by tapping the “AI Edit” icon in Stories and choose “Wear It,” or go directly to their profile picture and select “Restyle profile picture with AI” and “Wardrobe.”

These updates add to a growing list of AI features Meta has shipped on Facebook in recent months. In February, the company introduced animated profile pictures that bring still photos to life — adding a wave, or placing a virtual party hat on someone’s head. In March, Meta added an AI feature to Facebook Marketplace that automatically replies to buyer messages on sellers’ behalf.

Most recently, earlier this month, Facebook launched an AI assistant for creators that offers personalized suggestions — including the best times to post and summaries of what audiences are saying in the comments — based on a creator’s content and performance history.

Taken together, the flurry of releases points to a broader strategy: Meta wants Facebook’s AI tools to make the platform stickier and more useful, while also diversifying how it makes money. Alongside these feature rollouts, the company recently launched global subscription plans for Facebook, Instagram, and WhatsApp — starting at $3.99 a month — that unlock additional features, with more AI-related subscription tiers reportedly on the way.

Limoncello promptly replied: “My apologies; but I don’t have any more information to share on this topic.” With that, the discussion and Kilpatrick’s inquiry were over.

The Lendacky comment in 2020 Kilpatrick referred to came in this thread discussing encryption features available in AMD CPUs. Lendacky said that the Ryzen 3700x, a consumer CPU, “should support TSME.” In a 2025 comment in the same thread, the engineer followed up on his comment concerning the 3700x.

“I recommend using TSME (Transparent SME), but it is a BIOS option that needs to be exposed by your BIOS provider,” Lendacky said in response to the question about the consumer chip.

There’s no indication that AMD ever advertised or marketed TSME as being available in consumer CPUs. AMD has long said that a related memory protection, Secure Memory Encryption (SME), is available only in the Pro and Epyc CPU tiers. SME is OS-managed. It uses a single key and allows the OS to selectively encrypt individual memory pages. TSME is firmware-managed. It encrypts all RAM with no OS involvement. When active, it provides protection against physical attacks, including cold boot exploits, DRAM interface snooping, and memory module removal. It activates silently when enabled in the BIOS, making it the more practically useful of the two protections.

AMD engineers’ comments, such as those mentioned above, and the years of TSME working just fine in the lower-cost tier processors, have understandably conditioned Kilpatrick and other users to reasonably regard it as an expected part of the chip package. AMD quietly removing it and providing no acknowledgment or explanation strikes these users as something of a betrayal.

“They could have not realized they did it leading to their cagey responses, or they could have done it intentionally and tried to get away with it, leading to the same cagey responses,” Joe Fitzgerald, an expert in silicon-level security, said in an interview, referring to AMD’s potential motivations for withdrawing TSME. “But I really feel like an explanation should be in order, even if it was ‘TSME was never supposed to be supported. We did ship some firmwares that erroneously enabled it, but you shouldn’t use them since we can’t guarantee it’ll work properly.’”