跳转至

AI for Technical Research | 利用 AI 进行技术研究

The Superpower Research used to mean reading 50 papers and hoping to find a connection. Now, it means asking AI to read 500 papers and show you the connection. 超能力 以前研究意味着读 50 篇论文并希望找到联系。 现在，意味着让 AI 读 500 篇论文并展示给你联系。

1. The "Deep Research" Framework | “深度研究”框架

Don't just ask "What is X?". Use a structured approach. 别只问“什么是 X？”。使用结构化方法。

Phase 1: Exploration (探索)

Goal: Map the landscape. 目标：绘制版图。

  • Prompt: "I want to understand [Topic]. Create a knowledge graph of the key concepts, leading researchers, and seminal papers from the last 5 years."
  • Tool: Perplexity, Genspark, Connected Papers.

Phase 2: Synthesis (综合)

Goal: Connect the dots. 目标：连接点。

  • Prompt: "Here are PDFs of 5 papers. Compare their methodologies. What are the conflicting results? Create a table summarizing their pros and cons."
  • Tool: ChatPDF, Claude (Large Context Window), NotebookLM.

Phase 3: Innovation (创新)

Goal: Find the gap. 目标：发现空白。

  • Prompt: "Based on these papers, what are the unsolved problems? Propose 3 novel research directions that combine Method A from Paper 1 and Method B from Paper 2."
  • Tool: GPT-4o, Claude 3.5 Sonnet.

2. Practical Workflow: The "Paper Crusher" | 实战工作流：“论文粉碎机”

How to digest a complex technical field in 1 day. 如何在 1 天内消化一个复杂的技术领域。

  1. Collection: Use Perplexity to find the top 10 most cited papers on the topic.
    收集：用 Perplexity 找到该主题引用率最高的 10 篇论文。
  2. Ingestion: Upload them to Google NotebookLM. It turns them into a searchable database (and even a Podcast!).
    摄入：上传到 Google NotebookLM。它把它们变成可搜索的数据库（甚至播客！）。
  3. Interrogation: Ask specific questions.
    • "How does the implementation of X differ from Y?"
    • "What are the hardware requirements?"
  4. Coding: Use Cursor to implement a toy version of the algorithm to verify understanding.
    编码：用 Cursor 实现算法的玩具版本以验证理解。

3. Pitfalls to Avoid | 需避免的陷阱

  1. The "Echo Chamber": AI tends to agree with you. Ask it to be critical.
    “回声室”：AI 倾向于同意你。让它具有批判性。
    • Prompt: "Play the Devil's Advocate. Why might this theory be wrong?"
  2. Hallucinated Citations: AI loves to invent paper titles. Always verify DOIs.
    幻觉引用：AI 喜欢编造论文标题。务必验证 DOI。
  3. Surface Level Trap: Don't stop at the summary. You still need to read the core math/code yourself.
    浅层陷阱：别止步于摘要。你仍然需要自己阅读核心数学/代码。
Stage Tool Why?
Search Perplexity / Elicit Finds real papers, not hallucinations.
Reading NotebookLM / ChatPDF Chats with multiple PDFs at once.
Writing LaTeX + Copilot Auto-completes complex equations.
Coding Cursor Implements research papers into code fast.