Checkmate! retweeted
スマホの傾きに合わせて、絵が回るようにしてみた。
3D化しているわけではなく、1枚の絵から360°回転の「動画」を作り、傾きに合わせてフレームを前後させて、立体っぽく見せています。
#MiniMaxH3 + ORB360 LoRA
Checkmate! retweeted
BREAKING: Claude Code found 14,219 photos of my face on my Android that I never took. Phone was secretly taking them almost every time I picked it up. Even when I was just lying in bed. Even at home.
Not screenshots. Real frames from the front camera. On the train. In the car. At home. When I just grabbed it to check the time.
They were just sitting in a system cache. Timestamps and GPS on them. Nothing in Gallery. Nothing in Recently Deleted.
Plugged the phone into my laptop, made a full backup, told Claude Code to look for any front-camera files that weren’t in my photos. It pulled /data/system/users/0/faceunlock/cache and another folder inside Google Play Services. Over 14 thousand files. Normal ones and infrared from Face Unlock. Every single one had time and location.
Started scrolling. Almost everything from the last 15 months. Then I saw a file created 2 seconds ago. I was still looking at the folder. Phone kept taking photos while I was reading this.
Google and the phone makers say Face Unlock turns everything into a mathematical model and deletes the image right away. On this phone the raw frames were just sitting there. Some of the processes writing to that folder were from system diagnostics. Couple of old apps that still had camera permission could also get in.
Turned off diagnostics, revoked camera access from everything that doesn’t need it, cleared the cache. But how many of these frames already went somewhere else, I don’t know.
If you want to check yours, plug it in, make a full backup or use ADB, and ask Claude to look for front-camera files outside your Gallery. Path above is where mine were.
Claude Code found 145,763 photos I permanently deleted from my iPhone.
Three years of deleted photos and videos still sitting in a hidden cache. Any app with file access can read them.
I plugged my iPhone into my MacBook to run a backup. Claude Code was doing the security audit from my last post and flagged a directory I wasn't even looking for.
PhotoData/Thumbnails. Over 146,000 files. Photos, videos, screenshots. Every single one was something I deleted.
Photos from 2023, 2024 and 2025. The ones I deleted the second after taking them. The ones I cleared from Recently Deleted. The ones I deleted three separate times because I wanted to be sure they were gone. All still there.
Passport photo I took for a visa application in 2023.
Screenshots of my bank app with full account numbers visible.
Private photos I sent someone and immediately deleted after a breakup.
Screenshot of my crypto seed phrase I took temporarily in 2022.
Photo of my ID and credit card I took to remember the numbers and deleted 5 seconds later.
Screenshots of my ex's private Instagram stories I saved and permanently deleted in 2023.
Some were full resolution. All organized by date going back to 2021.
When you delete a photo on iPhone, iOS removes it from your camera roll and Recently Deleted. It keeps a compressed copy in a Spotlight search index cache so your phone can find things when you search. Apple never clears it. Not after 30 days. Not after a year. Never.
They told you it was permanently deleted. It wasn't.
I checked which apps on my phone had Files and Folders access. 23 apps. Weather apps. QR code scanners. PDF readers. A flashlight app I downloaded in 2022. Any one of them could have been reading every photo I ever deleted this entire time.
Went from 23 apps to 3 in about two minutes.
Full step by step below. Takes 2 minutes. Save it so you don't lose it and send it to anyone with an iPhone.
Readers added context they thought people might want to know
The video is an old, misappropriated clip from 2023, and the accompanying claims are fabricated.
x.com/HarshithLucky3…
Checkmate! retweeted
My 3D map has the street's shape right and no idea how big it is. Every dot came from one camera on my @comma_ai comma four.
As the car moves, near things shift across the frame more than far things. The model guesses where the camera is and how far away each pixel is, then stacks every frame into one 3D cloud.
The catch is that one camera can't give true size. It knows how the street is laid out, not how many meters across it is. The benchmarks that grade LingBot-Map use laser scans as the answer key, and I don't have one.
My comma four has two forward cameras, and I only used one of them. I think the second could help with scale, but I haven't tested it yet.
LingBot-Map is open source from Robbyant. Paper below.
I turned my robot vacuum into a night guard with Opus 5.5.
it already had a camera, a lidar and wheels. I rooted it, and now it patrols my house every night while I sleep, knows my dog by sight and pings my phone only when a stranger shows up.
and I built every part of it with lectures from free Stanford courses.
here's the build step by step:
step 1 → open Claude Code on Opus 5.5 and paste the prompt from the reply below
step 2 → Opus checks if your exact model runs Valetudo, the open-source firmware that takes the vacuum off the cloud, and if the camera can be read locally. if it can't, it stops there
step 3 → map: every lidar sweep turns into a 3D map of your rooms and doors. that's sensing for autonomy, Stanford EE259
step 4 → eyes: a small YOLO model on the camera feed spots people, pets and furniture. that's computer vision, Stanford CS231N
step 5 → memory: it learns your dog once, so the dog getting up for water at 3 am never sets off an alert
step 6 → route: a night patrol from the living room to the hall to the front door, replanned around anything in the way. that's planning and control, Stanford AA203
step 7 → a person in view who isn't on your list sends a photo to your phone within a second
step 8 → it checks that the front door is closed, then goes back to the dock before the battery drops under 20%
Checkmate! retweeted
Introducing Reality-Aware Rendering in @Simulon, a completely new way to create with the real world.
Place neural assets with your phone and act out the scene. When you stop recording, Simulon renders the take, reading everything in it (what you do, what you say and the place around you), and your assets respond to all of it.
The final is regenerated from your recording: a new performance of the scene, not a copy of the footage.
Available now on iPhone. Coming to Android soon.
Checkmate! retweeted
🌍 Introducing Echo-3, a new world model enabling the most accurate reconstructions of real spaces to date!
From a quick phone video of my daughter’s room, Echo-3 built a 3DGS model and restyled the whole house with her favorite fairy tales 🚀✨.
Get the app and try it out!
Checkmate! retweeted
This got over 60K views on Threads and LinkedIn combined overnight, which never happens to me. So here it is for X.
A flat floor plan that builds itself into a house as you scroll. Built with @claudeai Opus 5.5.
Checkmate! retweeted
地図情報から漫画背景を作成できるツールを作成しました。地名や座標を入力すれば地球のどこでも再現可能です。無料で使えるので、ぜひ使ってみてください!
tools.oyasumi-gamedev.com/ro…
プロットに合わせて漫画のネームを作れるツールを公開しました。
ガチャで色々試したり、ポーズやカメラ、演出を指定できます!無料なので、ぜひ使ってみてください! tools.oyasumi-gamedev.com/co…
Checkmate! retweeted
AIで漫画を「読む」から「探索する」体験へ。
MiniMax-H3のORB360 LoRAを活用した、インタラクティブなパノラマ漫画の事例。
従来のコマ割りとは異なり、読者自身の操作を取り入れた物語表現が面白い。
観光案内、教育など、様々なコンテンツなどにも応用が考えられそう。
Checkmate! retweeted
MiniMax-H3 + ORB360 LoRAで画角を自由に動かせる漫画を作ってみた。
キャラを参照画像で渡せば、顔も固定できる。
🤖 Made with AI
Goddess Justice is colour blind.
Replying to @praying_medic1
🚨 BREAKING — The Lone male holdout juror in the Lindsay Clancy case has been positively identified as Michael Desronvil, a Catholic and conservative……
Checkmate! retweeted
Replying to @praying_medic1
🚨 BREAKING — The Lone male holdout juror in the Lindsay Clancy case has been positively identified as Michael Desronvil, a Catholic and conservative……





























