Facebook's new AI feature quietly opens the door to mass analysis of personal photos

Users who want to share a post on Facebook are greeted with a new warning: a pop-up window asking for permission for “cloud-based processing.” If we approve, the system can access our entire phone photo library—including photos we've never uploaded to the social network. The goal: to generate creative ideas using artificial intelligence, such as collages, themed selections, or stylized versions.

At first glance, the feature may seem harmless. Users receive suggestions in their own gallery, which they only share with others if they consciously choose to do so. Meta emphasizes that these suggestions are made exclusively for the individual and are not used for advertising purposes. The feature can also be disabled and is only activated if someone explicitly agrees to its use.

Still, it is worth dwelling on the details in several respects. By pressing the “allow” button, the user accepts Meta's terms of service for artificial intelligence. According to these terms, the company processes not only the images themselves for analysis, but also their metadata, such as the time and location they were taken, and the people and objects they depict. The system may also use facial recognition technology and may not only use the data for the functioning of the feature, but also store it for longer periods of time.

According to Meta's statement, this data is not currently used to train AI models. However, they did not give a clear answer to the question of whether this would be ruled out in the future. This uncertainty is not without precedent. In 2024, the company acknowledged that it had widely used publicly available content—posts, images, comments—published over the past decade and a half to develop its generative artificial intelligence. Exactly what they considered “public” and who counted as an “adult user” from the beginning remains unclear to this day.

The current development goes beyond previous practice in that it requests access not only to published photos, but also to private ones. European Union regulations required Meta to provide an option to opt out of AI training, but this was only available until May 27, 2025. Those who did not opt out by then are now likely to have their photos included in the analysis if they are uploaded to the cloud.

Meta sees the initiative as a test. They are trying out automatic suggestions among users in the United States and Canada, which they claim are offered solely to simplify content sharing. Detailed help documentation is available for the service, and most settings are indeed customizable.

However, the introduction of the feature has been met with little public debate. Most users encounter it when they first see the pop-up window, and many do not understand exactly what approval means. Examples have already appeared on some forums of Facebook automatically converting old, previously uploaded images into anime style, or making suggestions that were surprising even to the user.

The use of social media and the development of artificial intelligence undoubtedly offer new opportunities. At the same time, it is worth taking a critical view of solutions that take the handling of personal data to a whole new level. Our photo albums are not just for storing pictures—they contain faces, places, relationships, and memories. A system that automatically processes and transforms them, even if it appears to serve creativity, requires careful consideration before we entrust it with the visual imprints of our private lives. Perhaps the best or most conscious user response to the emergence of such features is to immediately delete your Facebook account.

Sources:

Share this post
Where is Artificial Intelligence Really Today?
The development of artificial intelligence has produced spectacular and often impressive results in recent years. Systems like ChatGPT can generate natural-sounding language, solve problems, and in many tasks, even surpass human performance. However, a growing number of prominent researchers and technology leaders — including John Carmack and François Chollet — caution that these achievements don’t necessarily indicate that artificial general intelligence (AGI) is just around the corner. Behind the impressive performances, new types of challenges and limitations are emerging that go far beyond raw capability.
Rhino Linux Releases New Version: 2025.3
In the world of Linux distributions, two main approaches dominate: on one side, stable systems that are updated infrequently but offer predictability and security; on the other, rolling-release distributions that provide the latest software at the cost of occasional instability. Rhino Linux aims to bridge this divide by combining the up-to-dateness of rolling releases with the stability offered by Ubuntu as its base.
SEAL: The Harbinger of Self-Taught Artificial Intelligence
For years, the dominant belief was that human instruction—through data, labels, fine-tuning, and carefully designed interventions—was the key to advancing artificial intelligence. Today, however, a new paradigm is taking shape. In a recent breakthrough, researchers at MIT introduced SEAL (Self-Adapting Language Models), a system that allows language models to teach themselves. This is not only a technological milestone—it also raises a fundamental question: what role will humans play in the training of intelligent systems in the future?
All it takes is a photo and a voice recording – Alibaba's new artificial intelligence creates a full-body avatar from them
A single voice recording and a photo are enough to create lifelike, full-body virtual characters with facial expressions and emotions – without a studio, actor, or green screen. Alibaba's latest development, an open-source artificial intelligence model called OmniAvatar, promises to do just that. Although the technology is still evolving, it is already worth paying attention to what it enables – and what new questions it raises.
ALT Linux 11.0 Education is the foundation of Russian educational institutions
ALT Linux is a Russian-based Linux distribution built on the RPM package manager, based on the Sisyphus repository. It initially grew out of Russian localization efforts, collaborating with international distributions such as Mandrake and SUSE Linux, with a particular focus on supporting the Cyrillic alphabet.
Spatial intelligence is the next hurdle for AGI to overcome
With the advent of LLM, machines have gained impressive capabilities. What's more, their pace of development has accelerated, with new models appearing every day that make machines even more efficient and give them even better capabilities. However, upon closer inspection, this technology has only just enabled machines to think in one dimension. The world we live in, however, is three-dimensional based on human perception. It is not difficult for a human to determine that something is under or behind a chair, or where a ball flying towards us will land. According to many artificial intelligence researchers, in order for AGI, or artificial general intelligence, to be born, machines must be able to think in three dimensions, and for this, spatial intelligence must be developed.

Linux distribution updates released in the last few days