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His legacy reminds us of the importance of self-reliance, courage,...
By the age of 17, he was working full-time coding at the question-and-answer site Quora, where he met Scale’s cofounder, Lucy Guo. With her, Wang then started the company Scale AI in 2016.
Digital Desk:
bold"> 25-year-old
Alexandr Wang,
Forbes', is the new youngest self-made billionaire.
Alexandr
Wang had dropped out of MIT (Massachusetts Institute of Technology) at the age
of 19 to co-found the software company Scale AI. Now, he is helping not only
around 300 companies but even America’s Air Force and Army to unlock their
data’s potential by delivering high-quality training data for AI applications.
Looking
back, Wang was a math whiz kid who competed in national math and coding
competitions. In sixth grade, he signed up for his first national math
competition, intent on securing a free ticket to Disney World, as
per Forbes.
He didn’t win the competition, but he clinched his trip to the Magic
Kingdom.
Alexandr
Wang grew up in the shadow of New Mexico’s Los Alamos National Lab, the
top-secret site where the USA developed its first atomic bomb during World War
II, as per the Forbes report.
By
the age of 17, he was working full-time coding at the question-and-answer site
Quora, where he met Scale’s cofounder, Lucy Guo. With her, Wang then started
the company Scale AI in 2016.
Wang
has worked with over 300 companies, including Toyota Research Institute,
OpenAI, and Lyft, to turn rivers of raw data into gold.The raw details can be
like millions of shipping documents or raw footage from self-driving cars.
How Did Alexandre Wang Become A Billionaire?
A
$325 million funding round last year valued Wang’s company, Scale AI, which
generates an estimated $100 million in revenue, at $7.3 billion.
Wang’s
estimated 15% stake in his company is worth $1 billion, making him the world’s
youngest self-made billionaire, as per Forbes. The next youngest is Pedro
Franceschi, the 25-year-old Brazilian cofounder of credit card company Brex.
His
company Scale’s technology reportedly analyses satellite images much faster
than human analysts to determine how much damage Russian bombs are
causing in Ukraine. So it’s useful for the military.
"Every industry
is sitting on huge amounts of data," Wang says, who appeared on the Forbes
under 30 lists in 2018. "Our goal is to help them unlock the potential of
the data and then supercharge their businesses with AI."
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