TechFlow news, December 16 — According to Jinshi Data, today Wang Jiangping, former Vice Minister of the Ministry of Industry and Information Technology, pointed out that AI-driven scientific discovery is currently facing a "barrier lake" dilemma. He analyzed that the predictive outcomes generated by AI are growing exponentially, whereas human capacity for verification and industrialization grows only linearly, creating a huge gap. The predictions made by AI in one day may take humans 10 years or even longer to verify. This contradiction acts like a "barrier lake," blocking the pathway for scientific discoveries to be transformed into practical applications, preventing massive prediction results from being experimentally verified and industrialized in a timely manner, while also consuming vast amounts of scientific research and computing resources. (Guoshi Direct Express) (Jinshi Data APP)
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