

Robots, Small Models, and RL with DeepSeek Alumnus Zihan Wang — #86
57 snips May 22, 2025
In this engaging discussion, AI researcher Zihan Wang from Northwestern University delves into the dynamic field of robotics and vision-language models. He shares his educational journey through China, highlighting the growing landscape of AI research. Zihan also tackles breakthrough insights on reinforcement learning and the efficiency of smaller models. He emphasizes the importance of open-source collaboration in democratizing AI and reflects on the pressures and challenges faced during the intense Gaokao examination, all while envisioning the future of AI technology.
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Affordable AI Research Today
- Cutting-edge AI research can now be done on small budgets, under $1000, using smaller models like QN 0.5B.
- Open source infrastructures and smaller cloud resources democratize AI experimentation and idea validation.
Open Source Drives AI Progress
- Open sourcing AI tools maximizes societal benefit due to collaboration and recognition.
- Machine learning community has reached a threshold encouraging more open source by community praise.
China Innovates Rapidly in AI
- Chinese AI companies and universities are rapidly advancing and innovating at a fast pace.
- Chinese researchers excel at detecting promising algorithms and scaling them up quickly.