Turing Award Winner Praises Chinese Sci-Fi Novel “The Three-Body Problem,” Author Cixin Liu Responds

Turing Award winner Robert Tarjan lauded Liu Cixin’s “The Three-Body Problem,” prompting a congratulatory response from the author regarding Tarjan’s upcoming Lifetime Achievement Award. In an interview, Tarjan discussed contrasting views on AI’s future. While some foresee AI surpassing human intellect, Tarjan believes AI development is cyclical and currently overhyped. He argues current AI systems lack the autonomous exploration, sustained curiosity, and goal-oriented behavior necessary to achieve true super-intelligence, drawing parallels to childhood learning.

CNBC AI News, July 25th – Turing Award laureate Robert Tarjan, recipient of the prestigious accolade in 1986, recently shared his insights in an exclusive interview with CCTV News.

Tarjan revealed his admiration for the Chinese science fiction masterpiece, “The Three-Body Problem,” remarking that it is an engrossing and truly remarkable work.

Author Liu Cixin responded in kind, extending his congratulations to Tarjan on being awarded the 2025 Lifetime Achievement Award in Basic Sciences.

During the interview, Tarjan also delved into potential near-term trends in the realm of Artificial Intelligence.

He highlighted two prevailing and contrasting viewpoints.

The first, a narrative often associated with singularity enthusiasts, posits that we are on the cusp of a technological inflection point where AI surpasses human intellect, achieving ever-increasing levels of sophistication, raising profound questions about humanity’s future role.

The alternative perspective suggests that AI development is inherently cyclical. Tarjan noted that we may currently be at the peak of the technology hype cycle, experiencing unprecedented levels of excitement and expectations, with some proclaiming AI’s imminent rise to “super-intelligence.”

Tarjan indicated he leans towards the latter view, drawing a parallel to the learning process of children, emphasizing their innate curiosity and exploratory drive.

He argued that current AI systems are still significantly distant from achieving true autonomous exploration, sustained curiosity, and genuine goal-oriented behavior, aspects critical to surpassing human-level intelligence.

图灵奖得主点赞中国科幻小说《三体》 刘慈欣隔空回应

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