An exploration of the concept of assemblage and its application to the study of computer games, focusing on the interplay between technological artifacts, game experience, and sociality.
A lot of effective altruism organizations have made AI x-risk their top cause in the last few years,” explains Sayash Kapoor from Princeton. “That means a lot of the people who are getting funding to do AI research are naturally inclined, but also have been specifically selected, for their interest in reducing AI x-risk.”
A new study shows that the large language models (LLMs) deliberately change their behavior when being probed—responding to questions designed to gauge personality traits with answers meant to appear as likeable or socially desirable as possible.