In the realm of artificial intelligence, there has been a growing fascination with the emergence of unforeseen abilities in large language models (LLMs). These capabilities have been hailed as breakthrough behavior, likened to phase transitions in physics, and described as unpredictable and surprising. However, a recent paper by researchers at Stanford University challenges this narrative,
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