PeopleofSuperintelligence

Researcher

Tian Pei

Tian Pei is a researcher whose work spans DeepSeek's open-source language models, efficient inference and reinforcement-learning reasoning. He coauthored DeepSeek LLM, DeepSeek-V2 and DeepSeek-V3 in 2024, then DeepSeek-R1 and DeepSeek-V3.2 in 2025. In 2026, he coauthored the DeepSeek-V4 series and DeepSeek-V4.1-Flash, which supports contexts of up to one million tokens. As of October 2026, his research covers language models, reinforcement learning and efficient machine learning.

Timeline

  1. 2024

    DeepSeek LLM research

    In 2024, he coauthors DeepSeek LLM, a project dedicated to advancing open-source language models with a long-term perspective.

  2. May 2024

    DeepSeek-V2 efficiency

    In May 2024, he coauthors DeepSeek-V2. Compared with DeepSeek 67B, the model saves 42.5 percent of training costs and reduces the KV cache by 93.3 percent.

  3. December 2024

    DeepSeek-V3 model

    In December 2024, he coauthors DeepSeek-V3, a mixture-of-experts language model with 671 billion total parameters and 37 billion activated for each token.

  4. 2025

    DeepSeek-R1 reasoning

    In 2025, he coauthors DeepSeek-R1 with the DeepSeek-AI Team. Its reinforcement-learning framework develops reasoning patterns such as self-reflection, verification and dynamic strategy adaptation.

  5. December 2025

    DeepSeek-V3.2 model

    In December 2025, he coauthors DeepSeek-V3.2, a model that combines high computational efficiency with reasoning and agent performance.

  6. June 2026

    DeepSeek-V4 series

    In June 2026, he coauthors the DeepSeek-V4 series. V4-Pro has 1.6 trillion parameters, with 49 billion activated; V4-Flash has 284 billion parameters, with 13 billion activated.

  7. September 2026

    DeepSeek-V4.1-Flash model

    In September 2026, he coauthors DeepSeek-V4.1-Flash, a multimodal mixture-of-experts model with a 552-billion-parameter backbone and support for contexts of up to one million tokens.

  8. As of October 2026

    Language model research

    As of October 2026, his research covers language models, reinforcement learning and efficient machine learning.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  2. The United States employs an estimated 48% of people shaping AIWe estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  3. 43% of living people shaping AI work outside their country of birthWe estimate that 43% of living people shaping AI work outside their country of birth (520 of 1,198 people with known birth and employment countries).
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionWe estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Sources and credits

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  1. DeepSeek LLM: Scaling Open-Source Language Models with Longtermism arxiv.org. Checked 21 October 2026.
  2. DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model arxiv.org. Checked 21 October 2026.
  3. DeepSeek-V3 Technical Report arxiv.org. Checked 21 October 2026.
  4. DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning nature.com. Checked 21 October 2026.
  5. DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning ideas.repec.org. Checked 21 October 2026.
  6. DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models arxiv.org. Checked 21 October 2026.
  7. DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence arxiv.org. Checked 21 October 2026.
  8. DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression arxiv.org. Checked 21 October 2026.
  9. Tian Pei | 500AI 500ai.org. Checked 21 October 2026.