Work, Love, and Life When Robots Rule the Earth
In a book published by Economist, Robin Hanson named, “The Age of Em: Work, Love, and Life when Robots Rule the Earth” it goes on to explain how robots are going to become a part of our everyday lives, particularly ems (brain emulations).
In a book published by Economist, Robin Hanson named, “The Age of Em: Work, Love, and Life when Robots Rule the Earth” it goes on to explain how robots are going to become a part of our everyday lives, particularly ems (brain emulations). These ems will effectively be exact replicas of human brains that run as models on computers and eventually take over all human jobs.
The major advantage that these super efficient brain emulations have over humans is that they can perform tasks up to 1,000 times faster than us and more effective. Experts, including Hanson, project that these ems will be with us within the next 100 years as will be constructed of technology that is already in use today it just needs to be advanced that little more. They will be made by taking a scan of a human brain to record all of its cell features, functions, and connections and will then build a computer model that processes signals according to those features, functions, and connections.
These ems will take over physical roles as well as roles that can be performed virtually (i.e. customer service and call center jobs) and are predicted to live alongside us but also within their civilization. Hanson also predicts that they will be taking over all the government and business positions and will live within the cities. Whereas us humans will be pushed towards the outskirts of towns and into the suburbs.
Although the rise of the “Age of Em”, will, of course, bring many technological advances that we as humans will benefit from, it may also be a little daunting to having to face the fact that soon our jobs may be taken over by an emulation of ourselves. But, Hanson remains confident in his outlook for the future and feels ems will grow as corporations rather than taking over humanity in general and that we should not fear the introduction of these machines.
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Daniel Okafor
Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.
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