While at times it could be, well boring. It was very informative. I would have to say I am glad I listened. The part about patterns just makes sense, to me.
Say something about yourself!
Have you ever wondered how your mind works? How does it get new ideas, control your body, essentially run your entire life?
Hawkins has some great ideas on how it works.
This is a fresh look at the field of machine learning and one that has the potential to revolutionize the somewhat stale research into Artificial General Intelligence (AGI)
This was simply an amazing book. If you are a software developer, I emplore you to download the images that go along with the chapter 6 and listen to Chapter 6 (over and over if need be). The Memory Prediction Framework described in this chapter should be seen as the functional requirements needed to develop true learning machines. This framework can be emulated in software. The reason that humans appear to be more intelligent than machines is due to the fact that our brains are huge pattern matching/predicting machines utilizing the Memory Prediction Framework. We store invariant representations which we can recall in milliseconds, modify to our current situation and apply. Once we build the software version of the Memory Prediction Framework - humans will no longer be the smartest entities on earth - computers will be. Computers work on the order of nanoseconds (not milliseconds like the human brain) and have no defined limit on memory capacity whereas the human brain has defined limit (the size of one's neocortex). The sooner we emulate this framework in software - the sooner we can start to learn from machines. They may hold the key to helping man move to a safer planet before the next extinction level event occurs on this planet.
I really enjoyed the way this book mixed some detail about neuroscience with the man's theories. Overall, the book is a really good listen but it kind of dies out just when it starts to apply the framework to try to explain 'why things are' and that is one of the most empowering aspects of a theory or general framework. It was kinda like losing power just when the movie approached the climax. Nutshell: thoroughly enjoyable way to 'dive' into thinking about intelligence.
Everyone can relate to this book because it tries to explain the activity of the brain in our moment-to-moment existence. You may find yourself paying closer attention to everything you do (and especially everything you think) while absorbing the author's explanation of how you are doing it. Hawkins' theory is insightful, convincing, and even surprising. Just as remarkable, it is easily understood by persons with little background in the field. The book is also well narrated, though if your player allows you to, I personally recommend playback at 110% speed to make the voice sound more normal (I think Audible purposely reduced the speed to make the book more digestible). The author went to some lengths to make the book as enjoyable as possible for Audible customers, narrating the preface himself and verbally explaining some of the book's illustrations. These illustrations are available for download at Audible from the book's summary page and I highly recommend that you take advantage of them. Don't let the plain title and cover art deter you--this is one of the best nonfiction books at Audible.com.
I really did enjoy this book. Very interesting. The only thing that is so irritating is the hogwash about evolution. It is presented as a fact, and used as if it is understood so well, that one could base scientific conclusions on it! NONSENSE!! Just stick to what is actually proven and tested, and the book would have been a 5 star for me. Fine, don't bring God into it if you don't want to.. just leave the fairy tail of pure chance out as well
In many cases across several topics the author leeps to conclusions that simply do not make since in order to justify his own point of view. also a good portion of the book is about the authors life, I really dont care why he didn't make it into MIT witch he drones on about for a while.
Groundbreaking theories that convince. One gets the impression that "artificial intelligence" and "computer science" cannot progress much further. These fields may have to discard the last 70 years of developing on the Von Neumann architecture and start again.