It’s fascinating to see how technological advancement influences the digital landscape. AI stands at the forefront of this contemporary revolution. However, as AI progresses, it seems to become a reflection of the ouroboros, this ancient snake that bites its tail.
The virtual world is undergoing a transformation. Across the internet, AI-generated content is gaining ground. This development may seem like a threat to future AI models. Why? Because models like ChatGPT rely on information gleaned online to train. If this source is polluted with “synthetic” content, it can result in what is known as “model collapse.”
The danger is such that filtering this synthetic data has become a crucial field of research. Experts are paying attention as the scale of AI content continues to grow.
AI, the tail it constantly chases The ouroboros, an ancient serpent devouring itself, becomes the symbol par excellence of current AI. The massive emergence of editorial content produced by AI alarms many specialists. But the central problem is the potential for errors included in this content.
By feeding on the Internet, AI, like a snake biting its own tail, risks integrating errors, creating an infinite spiral of imperfections. A recent study highlights this phenomenon: after several training cycles on synthetic content, the results become incomprehensible.
Furthermore, other research shows that AI-generated images, when based solely on AI data, end up being blurry and unidentifiable. These errors, although seemingly benign, could amplify discriminatory biases, making the task even more difficult.
To counter this, we must rely on data not corrupted by synthetic content. As Alex Dimakis of the National AI Institute points out, the intrinsic quality of models is dependent on the quality of the data. Even a modest amount of high-quality data could outperform a large synthetic set.
Thus, engineers remain on the front lines, ensuring that AI does not train on data that it itself produced. Because, despite the prowess of AI, the human touch remains irreplaceable.
