Unveiling the Power and Pitfalls of Synthetic Data: The Future of AI Training on AI
As AI companies grapple with a shortage of training data, the concept of “synthetic data” has emerged as a potential solution, although its effectiveness remains uncertain. Companies like Anthropic, Google, and OpenAI are striving to develop quality synthetic data, but challenges persist. Dubbed “Habsburg AI” by researcher Jathan Sadowski, this inbreeding of AI models could lead to unpredictable outcomes. With issues like “Model Autophagy Disorder” arising, the quest for reliable synthetic data continues, raising the question of whether AI systems can handle this unconventional approach.