Ask HN: 用 AI 进行“氛围研究”——有人真的在用吗？
1 分•作者: spenceXu•15 天前
“氛围研究”的概念——利用人工智能快速探索、综合文献并生成新颖的研究想法或框架——似乎很有前景。除了文献综述之外，它还可以充当头脑风暴的辅助工具。
这里有人认真使用过人工智能（例如，Claude 用于长篇论文分析，arXiv 上的自定义 GPT，或专业代理）来辅助假设生成、研究空白识别或撰写论文的实质性部分吗？
关于准确性、引用幻觉或对复杂理论的肤浅理解，最大的陷阱是什么？您如何验证人工智能的输出？
您认为它是一个合法的早期研究加速器，还是更多的是用于处理琐碎任务的生产力工具？是否有将其与实际研究成果联系起来的成功案例？
期待来自学者、行业研究人员或独立探索者的真实经验。
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The concept of "vibe researching" – using AI to rapidly explore, synthesize literature, and generate novel research ideas or frameworks – seems promising. Beyond just literature reviews, it could act as a brainstorming co-pilot.<p>Has anyone here seriously used AI (e.g., Claude for long-context paper analysis, custom GPTs on arXiv, or specialized agents) to aid in hypothesis generation, research gap identification, or drafting substantive parts of a paper?<p>What are the biggest pitfalls regarding accuracy, hallucination of citations, or superficial understanding of complex theory? How do you validate the AI's output?<p>Do you see it as a legitimate accelerator for early-stage research, or more of a productivity tool for mundane tasks? Any success stories linking it to a tangible research outcome?<p>Looking for honest experiences from academics, industry researchers, or solo discoverers.