Honor X70 Pro Max silently launched with an 8,560mAh battery
https://www.gsmarena.com/honor_x70_pro_max_silently_launched_with_an_8560mah_battery-news-73268.php
https://redd.it/1u7v054
@reddit_android
https://www.gsmarena.com/honor_x70_pro_max_silently_launched_with_an_8560mah_battery-news-73268.php
https://redd.it/1u7v054
@reddit_android
GSMArena.com
Honor X70 Pro Max silently launched with an 8,560mAh battery
It’s powered by a Snapdragon 6 Gen 4 Enhanced edition chipset. Ahead of next week's X80 Pro Max launch, Honor has quietly introduced the new X70 Pro Max in...
Daily Superthread (Jun 17 2026) - Your daily thread for questions, device recommendations and general discussions!
Note 1. You can search for previous daily threads.
Note 2. Join our IRC and Telegram chat-rooms! Please see our wiki for instructions.
Please post your questions here. Feel free to use this thread for general questions/discussion as well.
https://redd.it/1u8879s
@reddit_android
Note 1. You can search for previous daily threads.
Note 2. Join our IRC and Telegram chat-rooms! Please see our wiki for instructions.
Please post your questions here. Feel free to use this thread for general questions/discussion as well.
https://redd.it/1u8879s
@reddit_android
Reddit
r/Android
Android news, reviews, tips, and discussions about rooting, tutorials, and apps. General discussion about devices is welcome. Please direct technical support, upgrade questions, buy/sell, app recommendations, and carrier-related issues to other subreddits.
Moto G Stylus 2026 Review: Motorola's most complicated phone! - StevealiciousTech
https://www.youtube.com/watch?v=BvTMkYzoEPk
https://redd.it/1u88qli
@reddit_android
https://www.youtube.com/watch?v=BvTMkYzoEPk
https://redd.it/1u88qli
@reddit_android
YouTube
Moto G Stylus 2026 Review: Motorola's most complicated phone!
Buy a Moto G Stylus 2026 here! - https://amzn.to/4ofhnwz
(Affiliate Link)
Once again, the Moto G Stylus 2026 is a more complicated conversation than it needed to be. On sale, it's a no-brainer, go ahead and pick one up. However, if you're paying $500, you…
(Affiliate Link)
Once again, the Moto G Stylus 2026 is a more complicated conversation than it needed to be. On sale, it's a no-brainer, go ahead and pick one up. However, if you're paying $500, you…
Samsung Galaxy XR Arrives in the UK
https://news.samsung.com/uk/samsung-galaxy-xr-arrives-in-the-uk
https://redd.it/1u8cmca
@reddit_android
https://news.samsung.com/uk/samsung-galaxy-xr-arrives-in-the-uk
https://redd.it/1u8cmca
@reddit_android
Samsung Newsroom U.K.
Samsung Galaxy XR Arrives in the UK - Samsung Newsroom U.K.
Available now for pre-order, Galaxy XR will launch from 8th July, marking the arrival of Samsung’s first extended reality device in the UK, powered by Android XR
Paul Dunlop (Android Onboarding/Settings Product Lead) details Android Switch improvements in Android 17, including direct migration of signed-in Google accounts between iOS and Android, cross-platform app data migration APIs, seamless eSIM transfers, & more
https://www.threads.com/@pauldunlop/post/DZr4isfjanp
https://redd.it/1u8c7g4
@reddit_android
https://www.threads.com/@pauldunlop/post/DZr4isfjanp
https://redd.it/1u8c7g4
@reddit_android
Threads
Paul Dunlop (@pauldunlop) on Threads
Building Computer Vision apps for Android in 2026: Has the bottleneck shifted from AI models to mobile engineering?
I've been reading case studies and following discussions around Android apps that use Computer Vision for OCR, object detection, image segmentation, quality inspection, and video analytics.
A few years ago, most conversations focused on model accuracy and training. But now it seems like the bigger challenges are:
Running models efficiently on-device with TensorFlow Lite or MediaPipe.
Balancing latency, battery usage, and model size.
Handling fragmented Android hardware and varying NPUs.
Building reliable pipelines for image/video processing in production.
Deciding when to use on-device inference vs cloud inference.
Interestingly, many successful products seem to rely as much on strong mobile engineering and UX as on the AI model itself.
I'm curious if other Android developers feel the same way.
For people who have built or worked on Computer Vision apps:
What has been the hardest problem for you?
Has model development become easier while deployment remains the real challenge?
Which frameworks or approaches have worked best in production?
Would love to hear real-world experiences and lessons learned.
https://redd.it/1u89w3l
@reddit_android
I've been reading case studies and following discussions around Android apps that use Computer Vision for OCR, object detection, image segmentation, quality inspection, and video analytics.
A few years ago, most conversations focused on model accuracy and training. But now it seems like the bigger challenges are:
Running models efficiently on-device with TensorFlow Lite or MediaPipe.
Balancing latency, battery usage, and model size.
Handling fragmented Android hardware and varying NPUs.
Building reliable pipelines for image/video processing in production.
Deciding when to use on-device inference vs cloud inference.
Interestingly, many successful products seem to rely as much on strong mobile engineering and UX as on the AI model itself.
I'm curious if other Android developers feel the same way.
For people who have built or worked on Computer Vision apps:
What has been the hardest problem for you?
Has model development become easier while deployment remains the real challenge?
Which frameworks or approaches have worked best in production?
Would love to hear real-world experiences and lessons learned.
https://redd.it/1u89w3l
@reddit_android
Reddit
From the Android community on Reddit: [ Removed by moderator ]
Posted by wakhfi3940 - 0 votes and 2 comments
[DEV] I built an Android app that runs Whisper Base Q8 fully offline, handling long audio chunking on devices down to 2GB RAM. No data leaves your phone.
Hey everyone,
https://preview.redd.it/8614i1pfht7h1.jpg?width=1080&format=pjpg&auto=webp&s=cd314472f90beecc17b4cbe432af47ae6f4469e0
As an Android developer, I’ve always been frustrated by how speech-to-text apps rely heavily on cloud APIs, compromising privacy and requiring active internet connections. I wanted to build a solution that runs **100% locally on the device**.
However, running heavy models like OpenAI's Whisper and Silero VAD locally on budget Android hardware comes with massive memory bottlenecks and unexpected crashes.
To fix this, I built **Transcribe Offline**. Instead of defaulting to Whisper Tiny (which has terrible accuracy), I managed to optimize **Whisper Base Q8** to run smoothly even on **2GB RAM devices** using a few engineering workarounds:
* **Semantic Chunking via Silero VAD:** Instead of blindly cutting audio into fixed time slots (which cuts through words and ruins the context), the app uses local Silero VAD to detect natural human speech boundaries. I added a **negative 200ms offset** to ensure the start of sentences is never chopped off.
* **Flat Memory Footprint:** Audio chunks are processed sequentially and instantly cleared from memory, meaning the app handles a 2-hour recording with the same flat memory usage as a 2-minute clip. No Out-Of-Memory (OOM) crashes.
* **Native C++ Performance:** Core engines are compiled via Android NDK/JNI to leverage hardware acceleration and keep the main UI thread completely fluid.
The app is completely private, requires zero permissions other than reading your local files, and outputs clean text or standard `.srt` subtitles with precise timestamps.
If you are interested in the engineering details, I wrote a quick deep dive on Medium about how I overcame the memory and text-cutting limitations: 🔗[Read the Engineering Deep Dive on Medium](https://medium.com/@creazyheart92/how-i-optimized-on-device-ai-audio-transcription-for-low-end-android-devices-down-to-2gb-ram-49f1a3847337)
The app is live on the Play Store, and I would absolutely love your honest feedback, feature requests, or any questions about the on-device pipeline!
👉[**Get Transcribe Offline on Google Play**](https://play.google.com/store/apps/details?id=egyption.developer.transcribe)
https://redd.it/1u861fk
@reddit_android
Hey everyone,
https://preview.redd.it/8614i1pfht7h1.jpg?width=1080&format=pjpg&auto=webp&s=cd314472f90beecc17b4cbe432af47ae6f4469e0
As an Android developer, I’ve always been frustrated by how speech-to-text apps rely heavily on cloud APIs, compromising privacy and requiring active internet connections. I wanted to build a solution that runs **100% locally on the device**.
However, running heavy models like OpenAI's Whisper and Silero VAD locally on budget Android hardware comes with massive memory bottlenecks and unexpected crashes.
To fix this, I built **Transcribe Offline**. Instead of defaulting to Whisper Tiny (which has terrible accuracy), I managed to optimize **Whisper Base Q8** to run smoothly even on **2GB RAM devices** using a few engineering workarounds:
* **Semantic Chunking via Silero VAD:** Instead of blindly cutting audio into fixed time slots (which cuts through words and ruins the context), the app uses local Silero VAD to detect natural human speech boundaries. I added a **negative 200ms offset** to ensure the start of sentences is never chopped off.
* **Flat Memory Footprint:** Audio chunks are processed sequentially and instantly cleared from memory, meaning the app handles a 2-hour recording with the same flat memory usage as a 2-minute clip. No Out-Of-Memory (OOM) crashes.
* **Native C++ Performance:** Core engines are compiled via Android NDK/JNI to leverage hardware acceleration and keep the main UI thread completely fluid.
The app is completely private, requires zero permissions other than reading your local files, and outputs clean text or standard `.srt` subtitles with precise timestamps.
If you are interested in the engineering details, I wrote a quick deep dive on Medium about how I overcame the memory and text-cutting limitations: 🔗[Read the Engineering Deep Dive on Medium](https://medium.com/@creazyheart92/how-i-optimized-on-device-ai-audio-transcription-for-low-end-android-devices-down-to-2gb-ram-49f1a3847337)
The app is live on the Play Store, and I would absolutely love your honest feedback, feature requests, or any questions about the on-device pipeline!
👉[**Get Transcribe Offline on Google Play**](https://play.google.com/store/apps/details?id=egyption.developer.transcribe)
https://redd.it/1u861fk
@reddit_android
Qualcomm Takes Spatial Computing into the AI Era with Snapdragon Reality Elite
https://www.qualcomm.com/news/releases/2026/06/qualcomm-takes-spatial-computing-into-the-ai-era-with-snapdragon
https://redd.it/1u843wc
@reddit_android
https://www.qualcomm.com/news/releases/2026/06/qualcomm-takes-spatial-computing-into-the-ai-era-with-snapdragon
https://redd.it/1u843wc
@reddit_android
Qualcomm
Qualcomm Takes Spatial Computing into the AI Era with Snapdragon Reality Elite | Qualcomm
Pixel Screenshots no longer exclusively uses on-device AI
https://9to5google.com/2026/06/17/pixel-screenshots-cloud-ai/
https://redd.it/1u8vff8
@reddit_android
https://9to5google.com/2026/06/17/pixel-screenshots-cloud-ai/
https://redd.it/1u8vff8
@reddit_android
9to5Google
Pixel Screenshots no longer exclusively uses on-device AI
Like Magic Cue late last year, Pixel Screenshots is moving beyond just using on-device AI to leverage cloud processing.
I trained a neural network on my Android phone using Pydroid 3 — S-tier, 92% win rate, no servers
I wanted to see if my Android phone could train a real neural network. No cloud, no GPU, no TensorFlow — just Pydroid 3 and pure Python.
**The result:** A Q-learning neural network that reached S-tier in a fighting game and beat scientific algorithms.
**What it does:**
\- ⚔️ Fighting game: 81.2% win rate against 9 different bots (including Minimax)
\- ✊ Rock-Paper-Scissors: 92% against Exp3 and UCB1 (algorithms from research papers)
\- 🎭 Mafia (social game): 40% win rate (2x better than random)
**How it works:**
\- Pure Python lists and loops — no NumPy
\- Manual backpropagation (\~200 lines)
\- Replay Buffer (500 examples)
\- \~75 parameters, model size < 5 KB (JSON)
\- 10,000+ training battles on a phone
**Performance on Android:**
\- 500 fights: \~10 seconds
\- 5,000 RPS rounds: \~30 seconds
\- All trained locally in Pydroid 3
**Why this matters:**
You don't need a gaming PC or cloud GPU to experiment with neural networks. An Android phone is enough to train a working AI that beats algorithms from scientific papers.
Happy to answer questions about training on mobile!
GitHub in comments.
https://redd.it/1u8stc9
@reddit_android
I wanted to see if my Android phone could train a real neural network. No cloud, no GPU, no TensorFlow — just Pydroid 3 and pure Python.
**The result:** A Q-learning neural network that reached S-tier in a fighting game and beat scientific algorithms.
**What it does:**
\- ⚔️ Fighting game: 81.2% win rate against 9 different bots (including Minimax)
\- ✊ Rock-Paper-Scissors: 92% against Exp3 and UCB1 (algorithms from research papers)
\- 🎭 Mafia (social game): 40% win rate (2x better than random)
**How it works:**
\- Pure Python lists and loops — no NumPy
\- Manual backpropagation (\~200 lines)
\- Replay Buffer (500 examples)
\- \~75 parameters, model size < 5 KB (JSON)
\- 10,000+ training battles on a phone
**Performance on Android:**
\- 500 fights: \~10 seconds
\- 5,000 RPS rounds: \~30 seconds
\- All trained locally in Pydroid 3
**Why this matters:**
You don't need a gaming PC or cloud GPU to experiment with neural networks. An Android phone is enough to train a working AI that beats algorithms from scientific papers.
Happy to answer questions about training on mobile!
GitHub in comments.
https://redd.it/1u8stc9
@reddit_android
Reddit
From the Android community on Reddit: I trained a neural network on my Android phone using Pydroid 3 — S-tier, 92% win rate, no…
Posted by [Deleted Account] - 0 votes and 10 comments
Base Galaxy S27 may disappoint with no major display or camera upgrades
https://www.sammobile.com/news/base-galaxy-s27-may-disappoint-no-major-display-camera-upgrades/
https://redd.it/1u927k7
@reddit_android
https://www.sammobile.com/news/base-galaxy-s27-may-disappoint-no-major-display-camera-upgrades/
https://redd.it/1u927k7
@reddit_android
SamMobile
Base Galaxy S27 may disappoint with no major display or camera upgrades - SamMobile
For the past few years, Samsung has launched the base model in each new Galaxy S lineup with only minor upgrades over its predecessor. Unfortunately, the same c
Sony unveils the Lytia 910, its first LOFIC sensor, and it boasts 100dB dynamic range
https://www.gsmarena.com/sony_unveils_the_lytia_910_its_first_lofic_sensor_and_it_boasts_100db_dynamic_range-news-73318.php
https://redd.it/1u91tz0
@reddit_android
https://www.gsmarena.com/sony_unveils_the_lytia_910_its_first_lofic_sensor_and_it_boasts_100db_dynamic_range-news-73318.php
https://redd.it/1u91tz0
@reddit_android
GSMArena.com
Sony unveils the Lytia 910, its first LOFIC sensor, and it boasts 100dB dynamic range
With Triple Conversion Gain, this sensor will snap HDR photos in one exposure - and it will record 4K 60fps HDR videos too.
Daily Superthread (Jun 18 2026) - Your daily thread for questions, device recommendations and general discussions!
Note 1. You can search for previous daily threads.
Note 2. Join our IRC and Telegram chat-rooms! Please see our wiki for instructions.
Please post your questions here. Feel free to use this thread for general questions/discussion as well.
https://redd.it/1u94brj
@reddit_android
Note 1. You can search for previous daily threads.
Note 2. Join our IRC and Telegram chat-rooms! Please see our wiki for instructions.
Please post your questions here. Feel free to use this thread for general questions/discussion as well.
https://redd.it/1u94brj
@reddit_android
Reddit
r/Android
Android news, reviews, tips, and discussions about rooting, tutorials, and apps. General discussion about devices is welcome. Please direct technical support, upgrade questions, buy/sell, app recommendations, and carrier-related issues to other subreddits.
Phones are about to get worse. - Android Police
https://www.youtube.com/watch?app=desktop&v=IKOnWNZV29A
https://redd.it/1u96wbd
@reddit_android
https://www.youtube.com/watch?app=desktop&v=IKOnWNZV29A
https://redd.it/1u96wbd
@reddit_android
YouTube
Phones are about to get worse.
Today's opinion piece covers something I've been thinking about for a little while now. After having spent a lot of time with modern releases, I've come to the conclusion that phones are getting worse and that could be something to worry about. We've seen…
Any games that use the actual physical boundaries of an Android tablet?
I'm looking for some games meant to be played on a tablet that use the actual physical boundaries of the tablet....like for example, say an air hockey game where if the puck hits the edge of the tablet that it reacts to having hit the edge of the tablet....Anything like this? Thanks guys!
https://redd.it/1u90cxt
@reddit_android
I'm looking for some games meant to be played on a tablet that use the actual physical boundaries of the tablet....like for example, say an air hockey game where if the puck hits the edge of the tablet that it reacts to having hit the edge of the tablet....Anything like this? Thanks guys!
https://redd.it/1u90cxt
@reddit_android
Reddit
From the Android community on Reddit
Explore this post and more from the Android community
Android XR’s second device already looks interesting
Saw Project Aura and, weirdly, Android XR got a lot more interesting to me.
Not because I trust Google. I’ve been using Android since the Nexus days. I know the drill.
Glass died. Daydream died. Half of Google’s “future” platforms die. And now Android itself is getting more annoying with sideloading restrictions and AI bloat.
So yeah, I’m not exactly all-in on Google here.
But I do want Android XR to work.
Mostly because the alternative is Meta owning XR, and 🙄 that.
I never believed the whole “Horizon OS is opening up” thing. Meta’s version of “open” always feels like: open, as long as they still control the store, accounts, rules, and money.
That’s not Android. That’s just a cheaper walled garden.
Aura caught my eye because it’s not another Quest clone. It’s glasses + puck. Different shape, different use case, different assumptions.
That alone makes Android XR feel more interesting than Horizon OS to me.
Google can still screw this up. They probably will, in some very Google way.
But I’d still rather gamble on messy Android XR than let Meta own the whole category.
I don’t need Google to be perfect.
I just need them to be less Meta.
https://redd.it/1u8ylyv
@reddit_android
Saw Project Aura and, weirdly, Android XR got a lot more interesting to me.
Not because I trust Google. I’ve been using Android since the Nexus days. I know the drill.
Glass died. Daydream died. Half of Google’s “future” platforms die. And now Android itself is getting more annoying with sideloading restrictions and AI bloat.
So yeah, I’m not exactly all-in on Google here.
But I do want Android XR to work.
Mostly because the alternative is Meta owning XR, and 🙄 that.
I never believed the whole “Horizon OS is opening up” thing. Meta’s version of “open” always feels like: open, as long as they still control the store, accounts, rules, and money.
That’s not Android. That’s just a cheaper walled garden.
Aura caught my eye because it’s not another Quest clone. It’s glasses + puck. Different shape, different use case, different assumptions.
That alone makes Android XR feel more interesting than Horizon OS to me.
Google can still screw this up. They probably will, in some very Google way.
But I’d still rather gamble on messy Android XR than let Meta own the whole category.
I don’t need Google to be perfect.
I just need them to be less Meta.
https://redd.it/1u8ylyv
@reddit_android
Reddit
From the Android community on Reddit
Explore this post and more from the Android community
Oppo Find X9 Ultra Review - $1,600 Enthusiast Import Trap - Drew Lipps
https://www.youtube.com/watch?v=Lvfxg3a_gZg
https://redd.it/1u9f3c8
@reddit_android
https://www.youtube.com/watch?v=Lvfxg3a_gZg
https://redd.it/1u9f3c8
@reddit_android
YouTube
Oppo Find X9 Ultra Review - $1,600 Enthusiast Import Trap
The OPPO Find X9 Ultra's the most complete and capable smartphone of 2026. I've been using the X9 Ultra as my main smartphone with my main eSIM and it's been incredible, but is it worth the price to import?
📖CHAPTERS📖
00:00 Intro
00:16 Importing to the…
📖CHAPTERS📖
00:00 Intro
00:16 Importing to the…
Android developer verification: Building a safer ecosystem together
https://android-developers.googleblog.com/2026/06/android-developer-verification.html?m=1
https://redd.it/1u9hgdj
@reddit_android
https://android-developers.googleblog.com/2026/06/android-developer-verification.html?m=1
https://redd.it/1u9hgdj
@reddit_android
Android Developers Blog
Android developer verification: Building a safer ecosystem together
News and insights on the Android platform, developer tools, and events.
Nothing wants you to review its next products before they launch
https://www.androidauthority.com/nothing-launches-community-review-program-3679144/
https://redd.it/1u9sbe0
@reddit_android
https://www.androidauthority.com/nothing-launches-community-review-program-3679144/
https://redd.it/1u9sbe0
@reddit_android
Android Authority
Nothing's community review program could get you early access to its latest products
Nothing is offering its fans early access to its latest products for those who join its community review program.
Who Actually Wins? (Camera Comparison test) Sony Xperia 1 VIII vs 17 Pro Max vs Samsung Galaxy S26 Ultra vs Vivo X300 Ultra vs Oppo Find X9 Ultra vs Xiaomi 17 Ultra vs Honor Magic 8 Pro - FlashingDroid
https://www.youtube.com/watch?v=1OiubdgYL8U
https://redd.it/1u9t6vv
@reddit_android
https://www.youtube.com/watch?v=1OiubdgYL8U
https://redd.it/1u9t6vv
@reddit_android
YouTube
Who Actually Wins? Sony Xperia 1 VIII vs Vivo X300 Ultra vs Oppo Find X9 Ultra vs Xiaomi and More!
This Episode of FlashingDroid Review video compares flagship phones from each brand of this generation! Including the Sony Xperia 1 VIII, iPhone 17 Pro Max, Samsung Galaxy S26 Ultra, Vivo X300 Ultra, Oppo Find X9 Ultra, Xiaomi 17 Ultra and Honor Magic 8 Pro.…
Daily Superthread (Jun 19 2026) - Your daily thread for questions, device recommendations and general discussions!
Note 1. You can search for previous daily threads.
Note 2. Join our IRC and Telegram chat-rooms! Please see our wiki for instructions.
Please post your questions here. Feel free to use this thread for general questions/discussion as well.
https://redd.it/1ua03w4
@reddit_android
Note 1. You can search for previous daily threads.
Note 2. Join our IRC and Telegram chat-rooms! Please see our wiki for instructions.
Please post your questions here. Feel free to use this thread for general questions/discussion as well.
https://redd.it/1ua03w4
@reddit_android
Reddit
r/Android
Android news, reviews, tips, and discussions about rooting, tutorials, and apps. General discussion about devices is welcome. Please direct technical support, upgrade questions, buy/sell, app recommendations, and carrier-related issues to other subreddits.