My Overpowered AI Research Stack - NotebookLM, Deep Research, Grok, Gemini, o3-Pro, OpenAI
AI Summary
This video presents a comprehensive overview of a research stack combining tools like ChatGPT 03 Pro, Notebook LM, Deep Research, and Codeex to produce high-quality research outputs, specifically focused on post labor economics. The presenter demonstrates how these tools are integrated to conduct deep research, generate detailed reports, and organize extensive research data into searchable and publicly available GitHub repositories. Key points include the use of ChatGPT 03 Pro for expert-level, refined responses and long-form analysis, Notebook LM’s ability to sift through large amounts of PDF research documents and generate visual mind maps for better understanding, and the utility of Deep Research for validating hypotheses with empirical data. The video also discusses how tight feedback loops using tools like Grock and Gemini help refine ongoing research, showing convergence and divergence in contemporary economic literature related to post labor economics. It highlights three primary areas of consensus among economists: automation as a structural threat to wage labor, the necessity of broad-based capital ownership and new distribution mechanisms, and the role of active policy in steering economic transitions. The research stack is open-source under a Creative Commons license, encouraging communal use and contribution, with the ultimate goal of producing a comprehensive book on the subject.