On October 30th, Chen Tianqiao announced at the first Tianqiao Institute for Brain Science AI-Driven Science Symposium that he would invest $1 billion to support innovative artificial intelligence research by scientists around the world.

As the founder of Shanda Group and the Tianqiao Institute for Brain Science, Chen Tianqiao explained the core concept of exploratory intelligence at the meeting. He emphasized that the ultimate value of artificial intelligence lies in "discovery," an intelligence that can actively build testable theoretical models of the world and propose falsifiable hypotheses. Through interaction with the world and self-reflection, exploratory intelligence continuously refines its understanding framework, which will drive the development of true general artificial intelligence (AGI).

Artificial Intelligence AI Robot (1)

Chen Tianqiao detailed the five key capabilities required to achieve exploratory intelligence, including neural dynamics architecture, long-term memory, causal reasoning mechanisms, world models, and meta-cognition and intrinsic motivation systems. He stated that these capabilities together form a closed loop of intelligent exploration, offering new possibilities for scientific research.

To promote the progress of young scientists in exploratory intelligence research, Chen Tianqiao announced several specific support measures. These include establishing benchmark testing evaluation packages across fields such as neural dynamics, memory, and causality, with discoverability as the core metric. In addition, the $1 billion investment in computing power will prioritize supporting cluster research for related experiments, helping scientists explore deeply.

Chen Tianqiao also mentioned the establishment of PI incubators, which will provide independent research pathways for doctoral students and postdoctoral researchers, supporting them in setting up their own laboratories and leading teams to pursue innovative ideas. This initiative not only accelerates the transformation of scientific research outcomes but also encourages the growth of young scientific talents.

He pointed out that the development of exploratory intelligence is not only a technological advancement but also the evolution of human wisdom. Through collaboration with machines, scientists can gain a deeper understanding of natural laws and drive the development of scientific frontiers.