Questions for further investigation of AI diffusion

Abstract

This document provides a list of research questions regarding the diffusion of artificial intelligence (AI) models, particularly large language models. It addresses the implications of AI models being replicated, as well as being leaked, stolen, or extorted. The document raises questions about the cost of AI development, the importance of data and algorithmic efficiency in AI progress, and the future of AI hardware. It explores the effects of diffusion on the behavior of different actors in the field, including large companies, startups, and government laboratories. The author advocates for further research on these topics, highlighting the potential benefits and harms of diffusion and suggesting specific research strategies and areas of expertise required to address these questions. – AI-generated abstract