3 papers
cs.CY2026
Work, Wellbeing, and Choice: Empirical Lessons for AI Futures
Stephanie C. Y. Chan, Adam Bales, Katherine L. Hermann +1
Advances in AI-driven automation have raised questions about how humans might find wellbeing in a world where paid employment is less necessary or less available than before. Paid…
cs.AI2026
From AGI to ASI
Tim Genewein, Matija Franklin, Alexander Lerchner +11
Over the last decade, building human-level artificial general intelligence has moved from far-fetched speculation to being a concrete next-decade target for many of the largest AI…
cs.LG2025
Strategy Coopetition Explains the Emergence and Transience of In-Context Learning
Aaditya K. Singh, Ted Moskovitz, Sara Dragutinovic +3
In-context learning (ICL) is a powerful ability that emerges in transformer models, enabling them to learn from context without weight updates. Recent work has established emergent…