Topic - DeepFakes

 Deepfake: The Technology That Blurs the Line Between Real and Fake

Deepfakes (from "deep learning" + "fake") are hyper-realistic videos, audios, or images generated by artificial intelligence, where a person's face, voice, or actions are digitally manipulated. From viral pranks to political frauds, this technology is revolutionizing (and worrying) the world.

How do deepfakes work?

They use neural networks (such as GANs – Generative Adversarial Networks) that:

-Analyze thousands of images/videos of a person to learn their gestures and voice.

-Overlay this learning on another video or audio, creating a near-perfect simulation.

-They improve over time: The more data, the more realistic it becomes.

 Popular tools for creating deepfakes:

-DeepFaceLab (most used by experts).

-FaceSwap (for beginners).

-Wav2Lip (lip syncs with audio).

-DALL·E 3 / Midjourney (for fake images).

Current uses of deepfakes

• Entertainment: Resurrecting deceased actors in films (e.g., Carrie Fisher in Star Wars).
• Automatic dubbing into other languages ​​(e.g., Netflix tried this with The Irishman).
• Education: Historical reenactments featuring figures like Einstein and Shakespeare.
• Marketing: Personalized ads featuring celebrities "speaking" different languages.