

E1005: Scale AI CEO & Co-founder Alexandr Wang creates training data for all AI applications to improve machine learning, shares insights on the future of autonomous vehicles, China’s AI advantages over US, importance of humans focusing on higher-value work & next major trends in AI
Nov 29, 2019
Alexandr Wang, CEO and co-founder of Scale AI, dives into the transformative power of AI and machine learning. He discusses the critical role of high-quality training data for applications like autonomous vehicles and the competitive edge that China holds in AI development. Alexandr emphasizes the importance of focusing on higher-value work as AI evolves. The conversation also touches on the duality of AI's impact on jobs and the ethical implications of biased data within machine learning systems, sparking curiosity about future trends in technology.
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Alexandr's Background
- Alexandr Wang grew up in Los Alamos, where his physicist parents worked at the national lab.
- He got recruited for programming jobs while still in high school, then worked at Quora and briefly attended MIT before founding Scale AI.
Scale AI's Mission
- Scale AI's mission is to accelerate AI application development, viewing AI as a generational technology shift.
- Alexandr considers AI comparable to the advent of computing itself, potentially even bigger than the internet.
Data Bottleneck in AI
- Alexandr returned to MIT to deepen his machine learning knowledge, wanting to build AI products.
- He identified a key bottleneck: obtaining data to train machine learning models, leading to Scale AI's focus.