Su Jianlin: An AI Architect's Path in Mathematics
From a Guangdong village to Zhuiyi and Moonshot AI: RoPE's inventor, the RoFormer model, and 18 years of the Science Space blog, with every fact sourced.
Write an academic biography of Su Jianlin, the inventor of RoPE, covering his career, research contributions and technical influence.
Narrow the biography to the technical thread: the principles, evolution and large-model adoption of Rotary Position Embedding.
Try Deep ResearchUse Deep Research to write an academic biography of Su Jianlin: start from his upbringing and education, cover his career at Zhuiyi Technology and Moonshot AI, focus on his research contributions in NLP — the proposal of Rotary Position Embedding (RoPE) and the RoFormer model — and the technical influence accumulated over years of his Science Space blog, and assess how RoPE is applied in mainstream large models. Mark a source for every fact.
The same biography framework, swapped to another researcher with deep influence on the Chinese NLP community.
Try Deep ResearchUse Deep Research to write an academic biography of Su Jianlin: start from his upbringing and education, cover his career at Zhuiyi Technology and Moonshot AI, focus on his research contributions in NLP — the proposal of Rotary Position Embedding (RoPE) and the RoFormer model, and the technical influence accumulated over years of his Science Space blog, and assess how RoPE is applied in mainstream large models. Mark a source for every fact.
Same biography framework, rendered as an English research report.
Try Deep ResearchUse Deep Research to write an academic biography of Su Jianlin: start from his upbringing and education, cover his career at Zhuiyi Technology and Moonshot AI, focus on his research contributions in NLP — the proposal of Rotary Position Embedding (RoPE) and the RoFormer model — and the technical influence accumulated over years of his Science Space blog, and assess how RoPE is applied in mainstream large models. Mark a source for every fact.
Explore, search, following, profile, live, nearby — engagement, keyword and paid effects compared; official vs observed mechanisms labeled, CES weights unverified.
Three stages from 2013 shopping guide to 300M MAU: strategy, product and monetization shifts, plus how UGC product seeding became a purchase-decision entry.