AI creates better and better fake photos. One detail still gives them away

Today, artificial intelligence can create images that, at first glance, look like real photographs. It is becoming increasingly difficult to distinguish authentic photos from graphics generated by algorithms. However, experts argue that AI still makes mistakes that can be noticed without specialized equipment.

Modern image generators are able to reproduce even imperfections known from cameras, such as matrix noise or lens artifacts. As a result, fake images can be more attractive than reality – they have more intense colors and resemble frames from high-budget films.

The AI ​​still has a problem with geometry

Digital forensics specialists point out that artificial intelligence still does not perfectly cope with the principles of geometry and physics.

One of the most important warning signs is perspective lines. In real photographs, parallel lines, such as the joints between tiles or the edges of buildings, should converge to a single point on the horizon. AI often generates images in which lines diverge in different directions or lose logical consistency.

Similar problems can be noticed with reflections in mirrors and shiny surfaces. Lines connecting an object with its reflection should maintain the appropriate perspective, which artificial intelligence does not always ensure.

Shadows often reveal manipulation

Experts also analyze light and shadows. In fact, the sun’s rays reach the Earth almost parallel, so the shadows cast by various objects should follow certain rules.

AI can generate realistic-looking scenes, but a closer look reveals that the shadows fall at impossible angles or do not match the position of the light source.

This is one of the reasons why lighting analysis remains one of the most effective methods for detecting false images.

Too perfect explosions and unnatural details

Problems also arise with dynamic scenes. Artificial intelligence tends to go overboard with visuals. Explosions are often too spectacular, full of excess fire and smoke, which makes them far from reality.

Experts emphasize that the human eye often does not consciously detect these errors, but a closer analysis may reveal elements that do not fit the principles of physics.

The race between AI and experts is on

Specialists who detect deepfakes admit that there is a real technological race going on. Better and better automatic image analysis systems are being developed, but many researchers believe that human experience still remains crucial.

The goal is not to completely eliminate fake photos, but to make it more difficult to create them and limit the possibility of using them to spread disinformation.

In practice, this means that Internet users will increasingly have to be careful and more closely analyze images that they would not have considered completely authentic until recently.