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This Week in Startups
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
01:35:19
Snipd AI
In this engaging discussion, Alexandr Wang, CEO and Co-founder of Scale AI, sheds light on the crucial role of training data in AI applications. He shares his journey from a young coder influenced by his scientist parents to leading a pioneering company. Topics delve into the race between the U.S. and China in autonomous vehicle technology, the significance of data quality, and the importance of addressing bias in machine learning. Alexandr also explores the future of self-driving cars, emphasizing the role of humans in higher-value work as AI evolves.
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Quick takeaways
- Alexandr Wang's journey from coding competitions to founding Scale AI highlights the impact of personal background on entrepreneurial success.
- The essential role of high-quality data in training AI models is crucial for advancing applications like autonomous vehicles.
Deep dives
Alexander Wang's Journey to Founding Scale
Alexander Wang's background played a pivotal role in his success as the CEO and co-founder of Scale AI. He grew up in Los Alamos, New Mexico, where his parents, both physicists, influenced his interest in technology and programming. After honing his skills in coding competitions, Wang worked at Quora before pursuing studies at MIT; however, he left after a year to start his company. At just 22 years old, he has already raised over $100 million in funding, which showcases his youthful ambition and the potential of his ideas.
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Discover
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