Matt Wolfe - Super Nerdy AI Research Automation
The speaker describes a system they created to automate the process of summarizing and categorizing new research papers. This system uses a spreadsheet that integrates with various tools to pull in new research papers, generate a one-sentence summary, and categorize them by topic such as LLMs, image generation, and more. The process involves using a Feedly account to gather the latest research from Hugging Face, which is then monitored by Make.com for new posts. When a new post is detected, ScrapingBee is used to scrape the abstract of the paper. The scraped data is processed by Claude, which generates a simple, jargon-free headline summarizing the research. This headline is then tagged and cleaned up using a text parser before being stored in Google Sheets, along with the date, title, URL, and category of the research. The system is designed to wait a minute between processing each paper to avoid overwhelming the Claude service with too many requests at once.
Key Points:
- Automate research paper summaries using a spreadsheet and integrated tools.
- Use Feedly to collect new research from Hugging Face.
- Scrape abstracts with ScrapingBee and summarize with Claude.
- Categorize and store summaries in Google Sheets.
- Implement a delay to manage request load on Claude.