Group 1 - A multinational team published a groundbreaking study in Nature, claiming their AI system can "simulate human cognition" and generate realistic human behaviors [1][7] - The AI model, named "Centaur," is said to have achieved significant accuracy in predicting human behavior across large-scale cognitive tasks [9][18] - The foundation of Centaur is a massive database called "Psych-101," which includes data from over 60,000 participants and more than 10 million choices [10][12] Group 2 - Centaur's architecture is based on Meta's open-source model Llama 3.1, which was fine-tuned using a technique called Quantized Low-Rank Adaptation (QLoRA) [16] - The model demonstrated strong generalization capabilities, accurately predicting behaviors of new participants in various tasks [19][20] - Centaur's internal operations showed remarkable resonance with human brain activity patterns, suggesting a potential alignment in information processing [29][33] Group 3 - Despite the promising results, the scientific community expressed skepticism regarding the claim that Centaur truly mimics human cognition [46][47] - Critics argue that while Centaur can predict human behavior, it does not replicate the underlying cognitive processes, highlighting a significant conceptual gap [51][52] - The scale of the Psych-101 dataset, although impressive, is still considered insufficient to encompass the vast complexity of human cognition [58]