The SPAR program is a remote-first part-time program connecting mentors and mentees for three-month AI safety and governance research projects. This initiative aims to promote research in areas such as technical AI safety, AI policy and governance, AI strategy, and AI security. The program offers funding for compute costs and provides valuable experience for both mentors and mentees. The focus on AI safety and governance is increasingly relevant in the rapidly evolving landscape of artificial intelligence. The SPAR program plays a crucial role in fostering research and development within the AI community.
The STORM AI research system, developed by Stanford University, leverages Large Language Models (LLMs) to conduct research using perspective-guided question asking in simulated conversations. Initially designed for web-based research, STORM now supports searching local document vector stores, allowing users to analyze internal data sets like the United States Federal Emergency Management Agency (FEMA) disaster preparedness and assistance documentation. This powerful research system mimics human research methods by iteratively refining document retrieval and synthesis, ultimately generating rich articles that can be used by humans in their pre-writing research.