There was a time when nanotechnology was both going to transform the world and wipe us out - a similar position to our view of AI today. On the positive transformation side there was K. Eric Drexler's visions in the 1986 Engines of Creation. Arguably as much science fiction as engineering possibilities, it predicted the ability to use vast armies of assemblers to put objects together from individual atoms. On the negative side was the vision of grey goo, out of control nanotechnology consuming all in its path as it made more and more copies of itself. In 2003, for instance, the then Prince Charles made the headlines when newspapers reported ‘The prince has raised the spectre of the “grey goo” catastrophe in which sub-microscopic machines designed to share intelligence and replicate themselves take over and devour the planet.’ These days the expectations have been eased down a notch or two. Where nanotechnology has succeeded, it has been with the likes of atom-thick mat...
Tom Griffiths introduces himself: I’m a cognitive scientist — a professor of psychology and computer science at Princeton University — so I think about minds and mathematics every day. But we are in an interesting moment where people who aren’t professional cognitive scientists are grappling with the same questions: Can machines think? Is it possible to describe minds using mathematics? What are the limits of different approaches to building a mind? Will we be able to create super-human artificial intelligence? These are questions that have come into focus in the last few years with the creation of chatbots that can hold conversations and solve challenging problems, but answering the questions we have about modern AI requires going further back into the past. In writing the book, I hoped to give readers the context for this moment and some of the language for talking about it, as well as highlighting the stories of discovery that brought us to this point and that suggest possible paths...