AI Can’t Help Real People - But Pass Med Exam w 95%
AI Summary
The video discusses the challenges faced by AI systems, particularly large language models (LLMs), in real-world healthcare applications. Despite achieving high scores in controlled settings, LLMs struggle with actual patient interactions. A study from the University of Oxford highlighted that while LLMs can pass medical exams in an ideal environment, they perform poorly when assisting real humans, yielding results similar to traditional internet searches. The video emphasizes the need for improved human-AI interaction, better training datasets, and a focus on effective communication to enhance AI’s role in healthcare. Key recommendations include designing AI systems to handle incomplete information and providing clear guidance to users. This highlights the gap between AI’s technical proficiency and its practical application in medical settings.