Introduction

Scott Aaronson is one of the deepest mathematical intellects I have known since, say Ed Witten—the only physicist to have won the prestigious Fields Medal in Mathematics. While Ed is a string theorist, Scott decided to devote his mathematical efforts to the field of computer science, and as a theoretical computer scientist has played a major role in the development of algorithms that have pushed forward the field of quantum computing, and helped address several thorny issues that hamper our ability to create practical quantum computers.

In addition to his research, Scott has, for a number of years, written a wonderful blog about issues in computing, in particular with regard to quantum computing. It is a great place to get educated about many of these issues.

Most recently, Scott has spent the last year at OpenAI thinking about the difficult issue of AI safety, and how to ensure that as AI systems improve that they will not have an unduly negative or dangerous impact on human civilization. As I mention in the podcast I am less worried than some people, and I think so is Scott, but nevertheless, some careful thinking in advance can avert a great deal of hand wringing in the future. Scott has some very interesting ideas that are worth exploring, and we began to explore them in this podcast.

Our conversation ran the gamut from quantum computing to AI safety and explored some complex ideas in computer science in the process, in particular the notion of computational complexity, which is important in understanding all of these issues. I hope you will find Scott’s remarks as illuminating and informative as I did.

As always, an ad-free video version of this podcast is also available to paid Critical Mass subscribers. Your subscriptions support the non-profit Origins Project Foundation, which produces the podcast. The audio version is available free on the Critical Mass site and on all podcast sites, and the video version will also be available on the Origins Project Youtube channel as well.