Alex discusses the impact of noise on model training, highlighting the difference between static and dynamic noise. While static noise affects specific lines in a chain of thought, dynamic noise can disrupt calculations throughout the entire process, leading to more significant errors. The conversation emphasizes the importance of understanding these noise types to improve the effectiveness of AI models.
