基于 10,732 条早期 ChatGPT 用户推文的混合方法研究,对每个主题进行深入定性情感分析,结果显示大多数早期采用者在软件开发颠覆性、娱乐与创意发挥等主题上表达了压倒性的积极情感。A mixed-method study using 10,732 tweets from early ChatGPT users to conduct an in-depth qualitative sentiment analysis of each topic, showing that the majority of the early adopters have expressed overwhelmingly positive sentiments related to topics such as Disruptions to software development, Entertainment and exercising creativity.
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"I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data
"我认为这是最具颠覆性的技术":基于 Twitter 数据探索 ChatGPT 早期采用者的情感
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
分析表明,借助 LLM,美国约 15% 的工作任务可在保持同等质量的前提下显著提速完成,意味着 LLM 驱动的软件将对底层模型经济影响的规模化产生实质性作用。The analysis suggests that, with access to an LLM, about 15% of all worker tasks in the US could be completed significantly faster at the same level of quality, implying that LLM-powered software will have a substantial effect on scaling the economic impacts of the underlying models.