A 19-year-old MIT student named Wang drops out to join Y Combinator in 2016 with Lucy Guo, a Carnegie Mellon dropout and former Facebook engineer. They start Scale AI with three employees and a vision to build foundational infrastructure for AI, targeting what they see as a trillion-dollar market gap similar to AWS in cloud computing.
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Sitting in an MIT dorm room and identifying a trillion-dollar blind spot is a fun thought experiment.
But it's just theory until you act.
Moving from theory to execution requires leaving the ivory tower. It requires burning the boats. So at 19 years old, Wang drops out of MIT.
Just think about the gravity of that decision for someone raised in Los Alamos.
It's massive. He abandons the prestigious conveyor belt. He enters the spring 2016 batch of Y Combinator, the most elite startup accelerator in the world. And he doesn't even have a finished product. Product. No. And here is what fascinates me. He doesn't walk into YC with a polished, perfect product. He just has a crystal clear vision of the bleeding neck of the market.
He teamed up with Lucy Guo, right?
Lucy Guo, a Carnegie Mellon dropout and a former Facebook engineer. They name the company Scale. And at this exact moment, the name is deeply ironic.
Because it's literally 3 employees.
3 employees with absolutely zero scale..
But the audacity of their foundational thesis was monumental. They weren't walking into Y Combinator trying to build another consumer app or another AI model to compete with the giants.
They weren't trying to build the Ferrari.
No, they were pitching the infrastructure layer. The thesis they presented was brutally simple. Just as Amazon Web Services, AWS, had become the fundamental infrastructure for the cloud, Scale would become the fundamental infrastructure for artificial intelligence.
