The issue of consistent factual accuracy in large language models like GPT, Bing Chat, and Google Bard is an important one, as inaccuracies and biases in generated text can have serious consequences, particularly in domains where factual accuracy is critical. While there have been efforts to develop tools and methods for improving the accuracy of these models, it is important to acknowledge that there is still a risk of inaccurate information being generated.