

AI Basic Research in China and the US
May 22, 2020
Dive into the high-stakes world of AI research funding as experts unpack the spending trends in China versus the U.S. Uncover the crucial role of talent in shaping the future of AI, influenced heavily by visa programs and immigration policies. Explore the delicate balance between basic and applied research, as well as the challenges of measuring competitiveness in this fast-evolving field. The discussion also highlights the complexity of AI standards and the urgent need for clear regulatory frameworks to ensure safety and reliability.
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China's Research Culture
- Questions surround how meritocratic China's research culture is and how political influence affects it.
- These factors could significantly impact China's tech and research community in the coming decades.
US Research Transparency
- The US research system appears more meritocratic than China's, according to Zach Arnold.
- However, transparency issues in US funding allocations for AI research also pose challenges.
Basic vs. Applied AI Research
- Basic AI research focuses on theoretical frameworks and high-risk, high-reward explorations (moonshots).
- Applied research aims to solve real-world problems by implementing theoretical frameworks in specific domains.