Dr. Naomi Scott argues that journalists should differentiate between Large Language Models (LLMs) and purpose-built Machine Learning (ML) systems. She contends that LLMs are responsible for significant harms such as intellectual property theft, academic cheating, and misinformation, while ML systems contribute positively to advancements in science, medicine, and engineering. Scott highlights the recent work on the Herculaneum scrolls as an example where AI/ML is used for ink detection, not language processing, emphasizing that human experts are still crucial for transcription. AI
IMPACT Clarifying the distinction between LLMs and ML systems could lead to more accurate reporting and public understanding of AI's diverse applications and risks.
RANK_REASON The item is an opinion piece by a named individual arguing for a distinction in terminology within the AI field.
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