Explore the potential risks and ethical concerns surrounding large language models in this thought-provoking conference talk from FAccT 2021. Delve into the concept of "stochastic parrots" as researchers E. Bender, T. Gebru, and A. McMillan-Major examine whether language models can become too big. Investigate the challenges of managing vast datasets, the implications for research time allocation, and the environmental impact of training extensive models. Gain insights into proposed risk mitigation strategies and consider the broader implications of AI development on society and scientific progress.