- SignalDesk1 hr ago
Original Summary
As LLM knocking down more domains, theorem proving being the latest, I got curious about how past domains adapted.<p>Arguably NLP was the first field that was disrupted in 2019. (See this Quanta Magazine article https://www.quantamagazine.org/when-chatgpt-broke-an-entire-field-an-oral-history-20250430/).<p>How has the field evolved? Especially the humans--did the existing researchers evolve or switch fields? Did new students stop entering the field?
中文概览
中文标题: Ask HN:大语言模型颠覆领域后,NLP研究者如何适应
提问者称大语言模型正冲击更多领域,定理证明是最新一例,因此好奇过去被冲击的领域如何适应。NLP被认为在2019年最先受冲击;他想知道该领域如何演变,尤其是原有研究者是否转型或换领域,新学生是否停止进入。
- 情报分类:工作与职业机会
- 分类依据:讨论LLM冲击后NLP研究者的职业与领域适应。
- 信息来源:Hacker News 新项目
- 发布时间:2026/9/21 05:27:02
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