Connections are the key ingredient for careers, society and AI neural networks to boot. Sometimes those connections arise spontaneously and other times they’re planned, but the most interesting ones tend to be planned that go in unexpected directions. That’s the story of David Ha, the co-founder and CEO of Sakana, a world-class generative AI research lab in Tokyo, Japan.

We previously announced that Lux led a $30 million founding seed round in the company a few weeks ago on the podcast, but we didn’t dive deeper into the ricochets of David’s peripatetic career. Studying computer science and machine learning at the University of Toronto, he worked down the hall from now-famous AI researcher Geoffrey Hinton. He ultimately headed to Goldman Sachs in Tokyo doing derivatives trading, but on the side, he published a shadow and anonymous blog where he posted random experiments in artificial intelligence. A decade later of serendipitous connections later, and he is now leading one of the emerging national AI leaders for Japan.
We talk through the stochastic moments that defined David’s career, why complex systems knowledge would ultimately turn out to be so valuable, the unique features and benefits of Japan, why openly communicating ideas and particularly interactive demos can spawn such serendipitous connections, why industry has produced more innovation in AI than academia, and why Google’s creativity should never be discounted.

Produced by ⁠⁠⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠⁠⁠

Music by ⁠⁠⁠⁠⁠⁠⁠⁠George Ko⁠⁠⁠⁠⁠⁠⁠⁠ & Suno