The concept of a 'job' is pretty recent. If you go back a few hundred years, everyone was either a slave or a serf, or living off slave or serf labor to pursue science or philosophy or art.

The deep learning techniques, while relatively easy to learn, are quite foreign to traditional engineering modalities. It takes a different mindset and a relaxation of the presumption of control. The practitioners are like magi, sequestered from the rest of a typical engineering process.

Machine learning allows us to build software solutions that exceed human understanding and shows us how AI can innervate every industry.

By developing deep learning solutions that are faster, easier, and less expensive to use, Nervana is democratizing deep learning and fueling advances in medical diagnostics, image and speech recognition, genomics, agriculture, finance, and eventually across all industries.

Most software today is very much like an Egyptian pyramid with millions of bricks piled on top of each other, with no structural integrity, but just done by brute force and thousands of slaves.

We are not overpopulated in an absolute sense; we've got the technology for 10 billion, probably 15 billion people, to live on this planet and live good lives. What we haven't done is developed our technology.

I think digital is getting so much better. It's harder and harder to make the argument now for film. All things being equal, though, I still prefer to capture on film.

There's absolutely no bubble in technology.