Ethan Mollick@emollick · XAI 摘要
LLMs不合理的有效性正是它们如此奇怪的原因。 实验室不需要决定构建哪种人工智能，因为更好的LLM在大多数事情上表现更好。金融？猪病识别？餐厅推荐？编程？是的。 大多数技术并非如此运作
The unreasonable effectiveness of LLMs is what makes them so weird.
The labs don't need to decide what kind of AI to build， because better LLMs do better at most things. Finance？ Pig disease identification？ Restaurant suggestions？ Coding？ Yup.
Most tech doesn't work like that