Accellerating Human Agency with BCI @ WBE Workshop 2023

In this talk summary, Judd Rosenblatt discusses the highest impact machine learning (ML) work that can be done to accelerate brain-computer interfaces (BCI) or whole brain emulation. He emphasizes the importance of taking a neglected problems approach, similar to effective altruism, in order to potentially achieve significant outcomes. Rosenblatt also extends this concept to the field of AI alignment, suggesting the exploration of neglected approaches, including technologies like BCI, to enhance human capacity. He raises the question of whether AI alignment is capital constrained and proposes considering how large amounts of capital could be invested in accelerating BCI hardware and AI alignment. Additionally, Rosenblatt mentions a practical step to improve productivity using BCI, which is the use of his company’s app called Universal Launcher. This app allows users to quickly capture ideas and tasks, effectively boosting productivity by eliminating the need to hold them in working memory.