Is it fair to call Deepfake an AI technology? Should it not be named differently? As AI means Artificial Intelligence and we are no wear near close to that kind of tech, here is some light on the matter.

Deepfake technology, at its core, relies on machine learning models, such as deep neural networks, to manipulate and generate content. These models can be trained to generate realistic images and audio, often through a process of supervised learning. While deep learning is a subset of AI, it’s important to clarify that it doesn’t represent the full spectrum of human-like intelligence that artificial general intelligence (AGI) aims to achieve.

The term “AI technology” is quite broad, and it can encompass a wide range of AI-related techniques, including those used in creating deepfakes. It’s true that the current state of deepfake technology primarily involves machine learning, computer vision, and speech synthesis rather than a form of artificial intelligence that exhibits human-like general intelligence.

So let’s remember this, that the term “AI technology” might be too general and could potentially cause confusion when you talk to people that don’t know too much about the subject. It’s also a reminder that the field of AI encompasses various subfields and technologies, and not all AI systems exhibit the level of intelligence that’s often portrayed in science fiction or public perception.