The Scaling Paradox in Human–AI Collaboration
This episode discusses 'The Scaling Paradox in Human–AI Collaboration,' a paper by Anyan Qi and Mengxin Wang. The hosts explore how AI performance scaling breaks down when humans are involved. They conclude that overestimating AI capabilities leads to reduced human effort and poor outcomes, while practical solutions like cost internalization and perception alignment can help manage this paradox.