Increasingly yellow AI images: a harbinger of decline?

Lately, the internet has been flooded with an avalanche of images generated by artificial intelligence models, all tinged with a yellowish filter. This phenomenon, which might seem anecdotal, is actually an alarming symptom of the potential crisis threatening the future of AI. By analyzing possible causes, such as technical bias or training models on synthetic data, we discover a risky practice called « AI inbreeding. » This process could lead to the collapse of AI models, compromising their performance and calling into question their future effectiveness. The internet is flooded with a yellowish filter that, while grotesque, raises crucial questions for the future of artificial intelligence. The phenomenon of AI-generated images with a yellowish tint seems to be a harbinger of the possible decline of AI models due to data inbreeding. In this article, we’ll examine how this trend became so widespread, the potential triggers of this crisis, and what it means for the future of artificial intelligence.The Yellowish Filter: A Symptom of an AI CrisisFor the past few months, images generated by artificial intelligence have been displaying a yellowish tint that both amuses and annoys internet users. This phenomenon has become so common that hearing the term « yellowish filter » immediately brings to mind AI. It’s actually a symptom of the crisis we’re facing. These images, whether memes or mass-produced AI videos, are so common that even OpenAI CEO Sam Altman’s profile picture has been affected. Some believe this yellowish filter began with the popularity of « Ghibli »-inspired images, but the problem is more complex. The Connection Between AI Inbreeding and the Yellowish Tint **To understand this phenomenon, some researchers explain that it’s the result of artificial intelligence models copying each other, resulting in a recurrence of certain characteristics, such as the color yellow. According to Jathan Sadowski, a lecturer and researcher at Monash University, this could be due to an overrepresentation of yellow in the AI-generated data that the models consume and reproduce.**However, another theory proposes that it’s linked to the phenomenon of « inbreeding » in AI, or the « collapse » of AI models, where intelligent models are trained on data created by other models, leading to strange and overrepresented results, such as the color yellow.

The Unintended Consequences of Training on Synthetic Data

With the growth of AI models, we face a shortage of human data available for training. This void is pushing tech companies to turn to synthetic data. This data, while abundant, has notable drawbacks. Indeed, when their use becomes predominant, AI models lose their effectiveness and can produce absurd results.

Studies show that when a large amount of synthetic data is used, AI models quickly become useless. This highlights the importance of balancing the use of real and synthetic data to maintain the effectiveness of AI models.

The Future of AI: From the Golden Age to the Yellowed Age

The reliance on synthetic data and the resulting consequences suggest that we are gradually moving away from the golden age of artificial intelligence. Although companies like OpenAI are trying to move towards partnerships with reliable sources of human data, the threat of an AI bubble persists.

Despite attempts to downplay this threat, many experts, including Jathan Sadowski, remain skeptical about the future progress of AI. The pace of improvement is beginning to slow, and the economic consequences of this crisis could be devastating for companies still seeking to maintain the illusion of continued growth.

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