AI的未来，或许就藏在我们大脑的进化密码之中

Core Viewpoint - The article discusses the evolution of the human brain and its implications for artificial intelligence (AI), emphasizing that understanding the brain's evolutionary breakthroughs may unlock new advancements in AI capabilities [2][7]. Summary by Sections Evolutionary Breakthroughs - The evolution of the brain is categorized into five significant breakthroughs that can be linked to AI development [8]. 1. First Breakthrough - Reflex Action: This initial function allowed primitive brains to distinguish between good and bad stimuli using a few hundred neurons [8]. 2. Second Breakthrough - Reinforcement Learning: This advanced the brain's ability to quantify the likelihood of achieving goals, enhancing AI's learning processes through rewards [8]. 3. Third Breakthrough - Neocortex Development: The emergence of the neocortex enabled mammals to plan and simulate actions mentally, akin to slow thinking in AI models [9]. 4. Fourth Breakthrough - Theory of Mind: This allowed primates to understand others' intentions and emotions, which is still a developing area for AI [10]. 5. Fifth Breakthrough - Language: Language as a learned social system has allowed humans to share complex knowledge, a capability that AI is beginning to grasp [11]. AI Development - Current AI systems have made strides in areas like language understanding but still lag in aspects such as emotional intelligence and self-planning [10][11]. - The article illustrates the potential future of AI through a hypothetical robot's evolution, showcasing how it could develop from simple reflex actions to complex emotional understanding and communication [13][14]. Historical Context - The narrative emphasizes that significant evolutionary changes often arise from unexpected events, suggesting that future breakthroughs in AI may similarly emerge from unforeseen circumstances [15][16].