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As a founder of a robotics startup I work with and keep up to date with the bleeding edge of what we have accomplished in machine learning research.
At the core of this book it argues that machine learning will be narrow AI and will continue to be simple feed forward supervised neural networks for about 20 years.
This is very wrong. We have robust renforment learning, unsupervised learning, and models that integrate with memory. When just what we have working well in universities reaches buisness we will automate much more that what the author's predict. This also ignores that massive breakthroughs in ml are being discovered on the timescale of weeks not years.
They also say that some jobs will never be automated. Perhaps the author believes that there is something magical about the algorithm in the human brain which the physics of the universe prevents us from replicating.
Besides all that, this book is dumbed down and targeted at technically incompetent managers. It has a low information to fluff ratio and is afraid to go into much technical depth. This last point doesn't make it a bad book, just a bad book to me.
17 of 17 people found this review helpful
After reading the reviews and the description I decided to give this book a shot but I'm rather disappointed. If you're an entrepreneur or manager looking to navigate the next few years while people still have jobs but the author seems to think mass unemployment won't happen because under educated people that are not good at reasoning or critical thinking or math will move up to "higher value" tasks. The author fails to understand all of the trends involved (Exponential growth, changes and disruption to a number of industries and the economic climate as well as peoples ability to learn or adapt) that will lead to a perfect storm.
6 of 6 people found this review helpful
Ok, maybe not completely mocking the dystopian view of Artificial Intelligence and Robotics, but the authors do a solid job of presenting an alternative view of the doom mongering that often surrounds AI and our future. Sure, there are reasons to be concerned, but drawing on examples from industrialisation and automation that has been occurring across sectors for decades, the authors do a credible job of outlining how AI can lead to more jobs and better, more interesting work. We can choose whether we believe the predictions and there are credible arguments on both sides of the debate, but this book presents a strong argument for optimism.
1 of 1 people found this review helpful