OpenAI: "We use ... de-identified data to improve ChatGPT" (twitter.com)

OpenAI has clarified its data usage practices in relation to the development of its models, specifically ChatGPT and Codex. The company stated that while no humans directly examined user data during their Navier Stokes effort, they do utilize de-identified data and user feedback to enhance their models comprehensively. This transparency highlights a common practice across large language model (LLM) companies, indicating that even anonymized user interactions can contribute to model improvements. This admission is significant for the AI/ML community as it sheds light on the ongoing ethical discussions surrounding data usage and user privacy in model training. By acknowledging the use of de-identified data, OpenAI reaffirms the importance of user input in developing AI systems while operating within privacy frameworks. Such practices not only influence model performance but also set a benchmark for how LLMs may manage user data responsibly in a landscape increasingly focused on ethical AI deployment.