A groundbreaking study from Oxford and Cambridge uncovers a pressing issue known as ‘model collapse’ in large language models. This phenomenon arises when generative AI generates synthetic data, leading to the erosion of distinct human nuances. Investor Michael Burry warns about the risks associated with AI, noting that information could face propagation errors.
