The article discusses the potential impact of OpenAI’s AI training data on the future of large language models (LLMs). According to Suchir Balaji, the executive director of the Center for AI Safety, the current crop of LLMs like ChatGPT may become obsolete by 2024 due to the limitations of their training data. Balaji argues that OpenAI’s AI training data, which includes a vast amount of internet content, may not be representative of the real world, leading to biases and inaccuracies in the models’ outputs. He suggests that the solution lies in curating high-quality training data that better reflects the diversity and complexity of human knowledge. The article also highlights the potential risks associated with the widespread adoption of AI systems trained on biased or incomplete data, such as perpetuating harmful stereotypes or spreading misinformation.