The text discusses a new AI era focused on superhuman agents learning primarily from their autonomous, continuous interactions with the real world, surpassing prior human-data-based models by leveraging experiential learning and grounded rewards.
Identifying and Cultivating Superforecasters as a Method of Improving Probabilistic Predictions
The article discusses the identification and development of superforecasters to enhance probabilistic predictions in various fields, highlighting their distinctive cognitive abilities, task-specific skills, motivation, and the impact of enriched environments on performance.