陈天桥罕见公开演讲：投入超10亿美金发展“发现式智能”——“这才是AGI”

Core Insights - The AI-driven scientific symposium held in San Francisco gathered top scholars and industry leaders to discuss how AI can drive scientific discovery [1][3] - Chen Tianqiao, founder of the Tianqiao Brain Science Research Institute, introduced the concept of "Discoverative Intelligence," which he argues represents true general artificial intelligence [1][4] Group 1: Discoverative Intelligence - Discoverative Intelligence is defined as the ability to ask questions and understand principles, rather than merely predicting outcomes [6][7] - This form of intelligence is seen as essential for human evolution, emphasizing AI's role in helping humans discover the unknown [6][8] Group 2: Paths to Discoverative Intelligence - Two main paths to achieving Discoverative Intelligence are identified: the "scale path," which focuses on the size of models and data, and the "structure path," which emphasizes cognitive mechanisms akin to human brain functions [8][10] - The scale path has led to significant advancements in AI applications, while the structure path is emerging as a necessary complement to achieve deeper understanding and discovery [8][13] Group 3: Time Structure Analysis - The concept of "time structure" refers to the brain's ability to process information dynamically over time, contrasting with the static nature of current AI models [9][10] - Five core capabilities are essential for managing information over time: neural dynamics, long-term memory, causal reasoning, world modeling, and metacognition [10][11] Group 4: Opportunities for Young Researchers - The company plans to invest over $1 billion in dedicated computing clusters to support young scientists in exploring new theories and algorithms [13][14] - A new benchmark will be established to measure AI's ability to "discover," focusing on the five core capabilities necessary for true intelligence [13][14]