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DeepSeek: Technological innovations and development trends toward artificial general intelligence
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Wenjun WU1, 2, Xingchuang LIAO1, Jinkun ZHAO1
Science & Technology Review | 2025, 43(6) : 14 - 20
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Science & Technology Review | 2025, 43(6): 14-20
• Commentary •
DeepSeek: Technological innovations and development trends toward artificial general intelligence
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Wenjun WU1, 2, Xingchuang LIAO1, Jinkun ZHAO1
Affiliations
  • 1. State Key Laboratory of Complex and Critical Software Environment, Beihang University, Beijing 100191, China
  • 2. International Innovation Institute, Beihang University, Hangzhou 311115, China
Published: 2025-03-28 doi: 10.3981/j.issn.1000-7857.2025.02.00175
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In this paper, the latest advancements of DeepSeek in Artificial General Intelligence (AGI) were reviewed, with a focus on innovations in large language models and reasoning technologies. Novel model structures and algorithmic designs were introduced in the newly developed DeepSeek-V3 architecture, , to implement a comprehensive optimization methodology which significantly enhanced training efficiency under constrained computing resources. In the reasoning system of DeepSeek-R1 framework, reinforcement learning (RL) was integrated with supervised fine-tuning (SFT) in an innovative way and breakthroughs in reasoning depth and logical coherence were achieved. Based on the innovations of DeepSeek, in the study, three critical challenges in AGI development were discussed: (1) the strategic role of open-source ecosystems in accelerating AGI progress, (2) the validity of neural scaling laws in the era of foundation models, and (3) practical approaches to implement industry-specific models through synergistic integration of general and domain-specific capabilities, demonstrated via DeepSeek-based implementations.

DeepSeek  /  reinforcement learning  /  MoE  /  Scaling Law  /  slow thinking
Wenjun WU, Xingchuang LIAO, Jinkun ZHAO. DeepSeek: Technological innovations and development trends toward artificial general intelligence[J]. Science & Technology Review, 2025 , 43 (6) : 14 -20 . DOI: 10.3981/j.issn.1000-7857.2025.02.00175
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Article Info
doi: 10.3981/j.issn.1000-7857.2025.02.00175
  • Receive Date：2025-02-14
  • Online Date：2025-06-29
  • Published：2025-03-28
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  • Received：2025-02-14
  • Revised：2025-03-12
Affiliations
    1. State Key Laboratory of Complex and Critical Software Environment, Beihang University, Beijing 100191, China
    2. International Innovation Institute, Beihang University, Hangzhou 311115, China
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