With that move, the algorithm broke all previous human playing conventions, built up over thousands of years of play. If you watch the documentary of the match, Move 37 appeared to personally traumatise the World Champion Lee Sedol.38 He promptly lost the game and, in time, the match. Much less widely reported on, but for me as interesting, is what happened in Game 4, Move 78. This move was played not by the AlphaGo algorithm, but by Lee Sedol. This, too, broke all centuries’-old human conventions; it was the imagined made real. Watching the film, Move 78 appeared to send the AlphaGo algorithm into meltdown. It was digitally traumatised, began playing erratically and promptly lost the game. It is difficult to know what prompted Lee Sedol to create an untried and untested move. Perhaps the personal trauma of Move 37 caused some re-wiring of his brain. Perhaps out of destruction was forged creativity, as after the Great Fire. If so, this would be an example of co-evolution in practice, with the neurological and the technological combining in a mutually beneficial cycle. 35  https://www.soci.org/news/general-news/dr-hermann-hauser-delivers-machine-learning-lecture Berlucci (2009). Carr (2011). 38 https://www.alphagomovie.com/ 36 37  15  All speeches are available online at www.bankofengland.co.uk/speeches  15  Since 2016, humans playing Go have adapted their playing strategies learning from the ever-improving algorithms. The same was true of Chess champions after Deep Blue. Move 37, or its successor strategies, has become a new human convention. This creativity was machine-assisted.
Rosling, H (2018), Factfulness: Ten Reasons We’re Wrong About The World – And Why Things Are Better Than You Think, Sceptre. Smith, H, Parker, F, Kotze, S and Laurin, M (2013), ‘Multiple independent appearances of the cecal appendix in mammalian evolution and an investigation of related ecological and anatomical factors’, Comptes Rendus Palevol, Vol. 12, No. 6, pp. 339-354. Tegmark, M (2017), Life 3.0: Being Human in the Age of Artificial Intelligence, Allen Lane. Unger, R (2019), The Knowledge Economy, Verso. Viereck (1929), What Life Means to Einstein: An Interview by George Sylvester Viereck, The Saturday Evening Post. 22  All speeches are available online at www.bankofengland.co.uk/speeches  22