Why AI Writing is Mediocre

This article likely argues that the current training methods for large language models (LLMs) lead to bland and unoriginal writing. The focus is probably on how the models are trained on vast datasets of existing text, which can stifle creativity and individual voice. The article likely suggests that the models are simply regurgitating patterns and styles from their training data, rather than generating truly novel or insightful content. The author likely believes that this approach ultimately undermines the potential for AI to produce truly compelling and engaging writing, resulting in output that is consistently "mid".

• •Current LLM training methods prioritize pattern recognition over originality.
• •The vast datasets used for training can lead to homogenization of writing styles.
• •AI writing may lack a unique voice or perspective due to its training.