Edge interview with Kai-Fu Lee

The Edge interview with Kai-Fu Lee is very good. He is one of the original A.I. researchers and has worked in the industry for most of the big name technology companies.

He discusses the history of A.I., the current situation involving Deep Learning, and goes on to talk about the future.”We’re all going to face a very challenging next fifteen or twenty years, when half of the jobs are going to be replaced by machines. Humans have never seen this scale of massive job decimation.”

He talks about areas that will see a lot of growth in the immediate future. Micro-payments, the Internet of Things, social networks delivering profiles that will trade privacy for convenience.

He talks about the Haves and the Have Nots: “The people who are inventing these AI algorithms, building AI companies, they will become the haves. The people whose jobs are replaced will be the have nots. And the gap between them, whether it’s in wealth or power, will be dramatic, and will be perhaps the largest that mankind has ever experienced.”

He also talks about a growing inequality amoung countries: “Lastly, and perhaps most difficult to solve, is the gap between countries. The countries that have AI technology will be much better off. They’ll be creating and extracting value. The countries that have large populations of users whose data is gathered and iterated through the AI algorithm, they’ll be in good shape.”

Deep Music on Alexa

I just tried the Deep Music skill on Alexa. It generates AI music – which sounds pretty much as you’d expect. It’s a bit repetitive, but not too bad. This is an area of Machine Learning that will get a lot better in the near future. So, my AI voice assistant can now play AI generated music at me!

Deep Learning

The more I use Deep Learning, the more I am amazed by it. Some things which would be hard to do programmatically are easy with the right Neural Network. It feels like we are just starting to scratch the possibilities.

Starting Deep Learning Course

I met up with some of my old team from BNP Paribas last week. I found it striking that everyone who was there is now working directly with Machine Learning. It was quite inspiring!

For the last few years I’ve been building Trading Execution Algorithms for Westpac. Time to do something different!

I decided to enroll in Coursera’s Deep Learning Specialization. I’ve just finished the first week, and I am really enjoying it. Andrew Ng is a fantastic teacher. I did his previous course on Machine Learning and loved it.