no code implementations • 22 Feb 2023 • Mckay Jensen, Nicholas Emery-Xu, Robert Trager
Using a model in which agents compete to develop a potentially dangerous new technology (AI), we study how changes in the pricing of factors of production (computational resources) affect agents' strategies, particularly their spending on safety meant to reduce the danger from the new technology.
no code implementations • 15 Dec 2022 • Tamay Besiroglu, Nicholas Emery-Xu, Neil Thompson
Since its emergence around 2010, deep learning has rapidly become the most important technique in Artificial Intelligence (AI), producing an array of scientific firsts in areas as diverse as protein folding, drug discovery, integrated chip design, and weather prediction.