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How it works:
1. The scraper continuously monitors ~250 sources (research papers, news, industry updates) 2. Each piece of content is analyzed by GPT-4o-mini using a specialized prompt that evaluates relevance and assigns categories and a relevance score 3. Content is ranked based on importance to different domains (computational psychiatry, biohacking, BCIs, etc.) 4. The web platform (built with Next.js) presents the findings in an easily digestible format
Live demo: https://news.elata.bio GitHub: [https://github.com/Elata-Biosciences/elata-vsm-system-4]
Contributions from the community are welcome!
Why is the GitHub repository called VSM System 4?
This project implements System 4 of Stafford Beer’s cybernetic framework for organizational management, specifically adapted for Decentralized Autonomous Organizations (DAOs). In Beer’s model, System 4 acts as the "outside and future" sensing organ—monitoring the environment and planning for adaptation. This project applies this principle to the DAO’s decision-making process (https://kelsienabben.substack.com/p/aligning-the-concept-of-...).
The platform acts as the DAO’s environmental scanner, using GPT to process information about scientific papers, industry developments, consumer trends, and advances in decentralized science. This systematic monitoring allows the DAO to detect emerging opportunities, potential threats, and shifting paradigms that could impact its strategic direction.
The overall intent of this project is to automate as much of the DAO’s System 4 process as possible with AI (https://kelsienabben.substack.com/p/governatooorr-guardrails...).
