In the future, everyone will work for 15 minutes – Adrian Bowyer, RepRap
Channel: British Computer Society Open Source Specialists
Date: 2020-03-29

Presented by Adrian Bowyer

There is much said about the coming impact on the work of the robot and AI revolutions, some of it quite well-informed. But the powers of automation and intelligence are dwarfed by the power of something else: self-replication. After the fundamental forces of physics, self-replication is the most significant phenomenon that there is. Using the Sun’s energy over the last four billion years, self-replication and Darwin’s Law have created a world-surface that is knee-deep in reproducing nano-machines. Indeed, your very knees are made out of them.

Yet engineering hasn’t worked with the power of self-replication much, if at all, until now. This talk will be about the RepRap Project—an open-source project that has created humanity’s first general-purpose self-replicating manufacturing machine. It will examine the likely social and economic impacts of self-replicating technology, and draw parallels with a twelve-thousand-year-old industry that uses natural self-replicating machines, the industry without which we would all starve: farming.

Adrian Bowyer holds a first degree and a PhD in engineering from Imperial College. He was an academic engineer and mathematician at the University of Bath for 35 years, from where he retired in 2012 to become a director of RepRap Ltd., a company that sells RepRap machines and components, and that undertakes research and consultancy in RepRap-related projects. RepRap Ltd is an entirely open-source company, and all its designs, software and documentation are freely available to everyone.

His areas of research are geometric modelling and geometric computing in general (he is one of the creators of the Bowyer-Watson algorithm for Voronoi diagrams), the application of computers to manufacturing, and biomimetics. He is the author of about one hundred papers and books on many different aspects of engineering, computing, mathematics, and biology.