A new feature possibly coming in iOS 27 can make it possible to prove an iPhone photo is real, but it's probably not for everyday people.
Regarding the iOS 17.5 Photo Glitch;
526 votes, 214 comments. Hello everybody, I may or may not know somebody who is a Private Contractor @ Apple, and they may have or may not have given…
We Melted iPhones for Science
OASIS generated real-time video with on-device AI. Four years later, Apple redesigned the iPhone so that AI won't burn your hand -- and admitted that we were right.
Apple Lied About Siri
Google Gemini is getting better at identifying AI fakes
Hey Gemini, is this image AI?
Is Apple Security a MYTH?
Jordan Singer on Twitter / X
the on-device foundation model in iOS 26 is a big dealbillions of parameters in all of our pockets. private, offline, and free (for users and developers)it's reminiscent to me of the GPT-3 beta, where its early but on the precipice of mass innovation— Jordan Singer (@jsngr) June 13, 2025
How to tell if an image is AI-generated
Scammers are using AI-generated images to make fake stories more convincing. Here's how to separate real from fake.
Identifying AI-generated images with SynthID
Today, in partnership with Google Cloud, we’re beta launching SynthID, a new tool for watermarking and identifying AI-generated images. It’s being released to a limited number of Vertex AI customers using Imagen, one of our latest text-to-image models that uses input text to create photorealistic images. This technology embeds a digital watermark directly into the pixels of an image, making it imperceptible to the human eye, but detectable for identification. While generative AI can unlock huge creative potential, it also presents new risks, like creators spreading false information — both intentionally or unintentionally. Being able to identify AI-generated content is critical to empowering people with knowledge of when they’re interacting with generated media, and for helping prevent the spread of misinformation.
AI Images Detectors Are Being Used to Discredit the Real Horrors of War
Online AI image detecting tools that may or may not work are labeling real photographs from the war in Israel and Palestine as fake, creating what a world leading expert called a “second level of disinformation.”
People are trying to claim real videos are deepfakes. The courts are not amused
The unleashing of powerful, generative AI on the public is raising concerns that as the technology becomes more prevalent, it will become easier to claim that anything is fake.
argmax on Twitter / X
Apple restricted background access to the Neural Engine on iOS 27... and it's back!This would have broken on-device inference for many apps that rely on this access, including many of our customers.We made a strong case to Apple that this access should be reinstated,… pic.twitter.com/uie2KmqlT9— argmax (@argmax) July 13, 2026
Liquid Glass Is Cracked, and Usability Suffers in iOS 26
iOS 26’s visual language obscures content instead of letting it take the spotlight. New (but not always better) design patterns replace established conventions.
It's all a blur
If you follow information security discussions on the internet, you might have heard that blurring an image is not a good way of redacting its contents.
Michael Tsai - Blog - Alan Kay on the iPhone
If people could understand what computing was about, the iPhone would not be a bad thing. But because people don’t understand what computing is about, they think they have it in the iPhone, and that illusion is as bad as the illusion that Guitar Hero is the same as a real guitar. That’s the simple long and the short of it.
This App Warns You if Someone Is Wearing Smart Glasses Nearby
The creator of Nearby Glasses made the app after reading 404 Media's coverage of how people are using Meta's Ray-Bans smartglasses to film people without their knowledge or consent. “I consider it to be a tiny part of resistance against surveillance tech.”
Parakeet Blog: The Shape of Apps
While icons on iOS (formerly iPhoneOS) have always been rounded squares, and rounded-square icons have existed on Apple platforms for over 20 years now, Mac app icons have historically exhibited a variety of unique silhouettes, which helped identification alongside other visual tools like color, lighting, and dimensionality.
