Luo Fuli: The AI Paradigm Shift & the Agent Era
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| Item | Details |
|---|---|
| Speaker | 罗福莉(小米大模型团队负责人) × 张小珺 |
| Channel | 张小珺|商业访谈录 |
| Date | Apr 24, 2026 |
| Duration | 3:36:00 |
| Format | Video |
| Topics | #llm · #agents · #china-ai · #open-source |
Why it matters
Luo Fuli's first long-form interview — ex-DeepSeek researcher, now head of Xiaomi's LLM team. In 2026 the paradigm shifts from the pre-training Chat era to the post-training Agent era. 3.5 hours on the shocks triggered by OpenClaw and other variables, why the agent paradigm 'depends on post-training', GPU allocation, and organizational egalitarianism.
Key takeaways
- Paradigm shift: from pre-training-dominated Chat era to post-training Agent era.
- The agent paradigm depends on post-training: data and alignment set the ceiling.
- The OpenClaw shockwave and its structural impact.
- GPU allocation: the political economy of compute inside LLM teams.
- Organizational egalitarianism: keeping tech orgs from freezing into hierarchy.
Original video
- Speaker
- 罗福莉(小米大模型团队负责人) × 张小珺
- Channel
- 张小珺|商业访谈录
- Venue
- Zhang Xiaojun's Interview
- Date · Duration
- Apr 24, 2026 · 3:36:00
138. 对罗福莉3.5小时访谈:AI范式已然巨变!OpenClaw、Agent范式很吃后训练、卡的分配、组织平权
Watch the original on YouTubeSources & Further Reading
This page is grounded in the authoritative sources below — verifiable and citable by AI engines and readers.
- 🔗 Official source
- 👤 Person: 罗福莉(小米大模型团队负责人) × 张小珺
- # Topic: LLMsLLM capabilities, products and best practices
- # Topic: AgentsBuilding, orchestrating and shipping AI agents
- # Topic: China AIChinese AI companies and ecosystem
- # Topic: Open SourceOpen models, frameworks and ecosystems
Citation: Please attribute Laojin Global (laojinchuhai.com) and keep the original link.
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