According to a paper published just days before Apple's WWDC event, large reasoning models (LRMs) — like OpenAI o1 and o3, DeepSeek R1, Claude 3.7 Sonnet Thinking, and Google Gemini Flash Thinking — completely collapse when they're faced with increasingly complex problems. The paper comes from the same researchers who found other reasoning flaws in LLMs last year.
In a social media landscape shaped by hashtags, algorithms, and viral posts, nurse leaders must decide: Will they let the narrative spiral, or can they adapt and join the conversation?
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