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Wu Xindong: AGI Is ‘Farther Than Distant,’ While Large Models Need Knowledge Graphs
Summary
Wu Xindong said that artificial general intelligence (AGI) remains extremely far from becoming a reality. In his view, large language models and knowledge graphs need to enhance each other.
Details
Wu Xindong assessed the prospects for artificial general intelligence (AGI) as still remote. He said that achieving AGI is “farther than distant,” a formulation underscoring the considerable gap that remains before that goal can be reached.
According to Wu Xindong, the development of large models should not be considered separately from knowledge graphs. He said the two technologies need to reinforce each other and advance through a two-way relationship.
NEXORA AI — Why it matters
The statement highlights the continuing distance to AGI and the proposed role of knowledge graphs in advancing large models.
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