On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
Bender and colleagues critique the trend toward larger and larger large language models (LLMs), arguing that scaling up these models amplifies serious harms—environmental, ethical, and social—without solving core problems of linguistic understanding or accountability. They call for more responsible research practices, including careful dataset curation, evaluation of societal impact, AI Ethics, and consideration of alternatives to ever‑larger models.
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