I generally listen to nonfiction. I would rate this in the highest category of the books to which I have listened. I try to save "5" for the top 10% rather than 20%. It is a very timely book since the use of algorithms is really picking up steam in our economy. It was a well constructed and fun narrative.
While I found the stories great examples and helpful to understand how algorithms are used a greater number of examples with a bit less time spent on each would have enhanced my experience a bit. Nonetheless, I rated it a 5 on both overall and story.
This is a book for beginners. You don't need a PhD in math to understand the concept that a bunch of PhD quants are trying to replace almost every mental task you perform using computer logic.
It made me realize how visionary Kurt Vonnegut's classic piece of fiction, "Player Piano" really was.
p.s. audible. - I never read the same category of nonfiction twice. Your algorithms should know that and recommend books that are different rather than one I just read, not the same. Hire a better breed of quant. :)
The history, I did not know how far back we used algorithms, especially in the stock market.
The narrator for the story was a perfect match.
This is my first.
The future, and how our lives can be made better.
Yes, I would try another book by the author or one narrated by Walter Dixon.
Made it sound less like a history text book.
Yes- there is a lot of valuable recent history in here that is easy to take for granted.
Showing how pervasive the use of algorithms has become.
This book is a must-read for anyone who thinks that machines cannot run human society.It starts by describing the history of how the stock market has become dominated by algorithmic programs that do most of the trading and evolve themselves without human participation. Then it branches out to other professions (medicine, customer service, music, and so on) to show how algorithms are reaching into the management of those professions too.
This is an illuminating and enjoyable survey of how computers are transforming the way we live. Most importantly, it is written for the layperson--it's free from jargon and takes a balanced, journalistic approach to the subject.
The chapters are alternately frightening (the one showing how computer code can produce music as moving as that of the world's greatest composers) and exciting (the one showing how greatly pharmacies and medical diagnoses can be improved).
Walter Dixon's narration is first-rate: he has an unusually mellow tone that does not prevent him from inflecting every sentence in such a way that you feel he's connected the book to your brain with an invisible cord. I hope to hear him again in other books.
This book had some good stories, and some keen insights when it comes to algorithms.
However, it also expounds a lot of opinions as facts. Sorry... but there is lots of stuff that Doctors still don't know.
Additionally annoying is how the Author abuses the word Hacker. He repeatedly used word "Hacker" to represent anyone who writes code to solve a problem.
With intelligent editing this could have been a better book. (better=less annoying).
The World is changing much faster than we are, Only some can see it and have taken advantage. The rest of us are falling hopelessly behind. Is there anything we can do? Tell friends and parents who "don't do computers" to get up and start running. The Cheese has moved!
Non-fiction story line about how math and computers have put us into space-age living environment. This is for everybody, not just math savants and quants.
Faced with mindless duty, when an audio book player slips into a rear pocket and mini buds pop into ears, old is made new again.
With the sub-title—"How Algorithms Came to Rule Our World", Christopher Steiner’s "Automate This" is hyperbolic. Tech geeks are trending toward rule of the world but humans remain too complicated and diverse for this generation of code hackers to dominate the world. Social and political science have not reached a state of measurement and predictable outcome that reaches Karl Popper’s criteria for science. Popper’s requirement for empirical falsification is not true with social and political algorithms; at least, not as reliable, reproducible experiments. Social and political analysis, even with the use of algorithms, is not science.
Of particular interest is Steiner’s explanation of algorithm impact on jobs. Like the industrial revolution, the world’s work force will dramatically change with continued automation. More product production will be automated through algorithms that manipulate machines to do the work formerly done by humans. Steiner believes primary growth industries will be ruled by technology. No jobs will be unaffected by algorithms. Steiner notes that even medical services for common colds and routine visits will be served by algorithmic analysis and drug prescription services. Code hackers will be offered the greatest job opportunities. Call centers will become bigger employers but even those jobs will be increasingly handled by algorithms that minimize employee involvement. A conclusion one may draw from Steiner’s book is that middle managers of call centers, sales people for algorithmic products, teachers, personal service providers, and organization executives will be in demand but many traditional labor positions will disappear.
Steiner’s book is a recruitment tool for today’s and tomorrow’s code hackers. That is where jobs will be. Steiner suggests that young and future populations should plan to acquire basic math skills, learn to code, and plan for a future of automation and exploration.
Can't comment, haven't read the print version
Yes, I like his approach to this topic.
I liked the part about music algorithms and psychological profiling most.
I listen to quite a lot of audiobooks, mostly while jogging or doing chores. A crucial feature of an audiobook for me is the effect it has on my mood. Some books are good but make me tense because I feel I should be taking notes or should rather get the print version. I never really felt that way with this book, it was peaceful to read. When something very interesting came up, I just Googled it to read more on the topic and then Tweeted it.
The author states in the introduction that he originally envisioned this book to be just about algorithms and Wall Street but was convinced by someone he interviewed to look at the world outside Wall Street. I'd say it shows. Stories about Wall Street does dominate, but I wouldn't say these were the boring parts. The only chapter I considered skipping was the one about health care. Overall, I'm very happy I got this audibook.