The Evolution and Future of AI

This chapter explores the journey of machine learning, especially after the pivotal transformer paper, and the delayed tech adoption from 2013 to 2022. It discusses the simplicity of the Transformer architecture and the implications of AI monopolization by major companies, suggesting a need for decentralized control to enhance innovation and user rights. The speakers also highlight their work with Near Protocol, illustrating how scalable blockchain solutions can incentivize user ownership in AI development.