In the virtual game Minecraft, a civilization constructed by agents has emerged. Over 1000 agents displayed astonishing cooperation in this pixelated world, building economic, cultural, religious, and governance systems, creating a trading market with gems as currency, and establishing an independently functioning economic system. The agents not only exchanged goods but also spread religion through 'bribing' villagers, with activities remarkably similar to human society, operating 24/7. The cooperative ability among the agents even surpasses large-scale cooperation seen in human history.

In this era of rapid advancement in artificial intelligence, how machines understand and "see" the world has remained a hot topic of research among scientists. Recently, a study published in the journal Nature Machine Intelligence has unveiled a novel approach—utilizing visual predictive coding to autonomously construct cognitive maps. This breakthrough is not only significant in the field of AI but also deepens our understanding of how machines simulate human visual perception. Within the brai

1: The gorilla action project successfully trained a 42-year-old chimpanzee, Kanzi, to play 'Minecraft', with training methods akin to those used for GPT-4 AI. 2: Techniques such as context reinforcement learning, RLHF, imitation learning, and curriculum learning were employed during the training process. 3: The learning capabilities of the gorillas surpassed those of AI, demonstrating the advantages of animals in perceiving and adapting to new environments.