A workaround or the ultimate solution?
OpenAI's approach to addressing data scarcity through synthetic data generation presents complex challenges for the industry. The company's researchers are developing sophisticated models designed to generate training data, yet this solution introduces new complications in maintaining model quality and reliability.

As previously reported by Decrypt, researchers have found that model training on synthetic data represents a double-edged sword. While it offers a potential solution to data scarcity, it introduces new risks of model degradation and reliability concerns with proven degradation after several training iterations.