The book had a few interesting anecdotes and insightful perspectives regarding algorithms.
However, it tended to present personal opinions as if they were indisputable truths. Sadly, there are still many things in the medical field that remain unknown.
Another bothersome aspect was the author's misuse of the term "hacker." They consistently referred to anyone who writes code to solve problems as a "hacker."
If the book had undergone more thoughtful editing, it could have been improved and less aggravating.
The pace at which the world is evolving surpasses our ability to keep up, leaving only a few individuals who can perceive this change and capitalize on it. The majority of us, unfortunately, find ourselves lagging far behind. Is there any course of action we can take? It's time to urge our friends and parents who are resistant to using computers to step up and adapt. The game has changed!
This audiobook is a captivating and enjoyable exploration of how computers are revolutionizing our lives. What sets it apart is that it is accessible to everyone, devoid of technical jargon, and provides a well-balanced, journalistic take on the subject.
The alternating chapters range from terrifying (revealing how computer code can create music that rivals that of the world's greatest composers) to thrilling (demonstrating the immense improvements that can be made in pharmacies and medical diagnoses).
Walter Dixon's narration is top-notch: his soothing and melodic tone seamlessly connects the book to your mind, as if an invisible cord has been established. I eagerly anticipate hearing his narration in other audiobooks.
"Automate This: How Algorithms Came to Rule Our World" offers a valuable introduction to the inner workings of automation. It presents complex concepts in a way that is accessible to non-technical individuals. Christopher Steiner effectively delves into the operational dynamics of businesses, revealing what happens behind the scenes.
In our daily lives, we often unknowingly interact with bots. For instance, while engaging in online dating, surveys based on our interests and responses employ algorithms to match us with like-minded individuals. Our actions are continually tracked, whether it's through customer service calls or the use of discount cards. Bots use this data to gain insights into our preferences and behaviors.
Even when logging into streaming accounts, personalized recommendations are provided, eliminating the need for us to make choices. The future may bring a time where our options are presented directly on the screen, further streamlining decision-making.
Christopher Steiner's book, "Automate This: How Algorithms Came to Rule Our World," explores the impact of algorithms on various aspects of our lives. While the sub-title may seem hyperbolic, Steiner acknowledges that humans are too complex for code hackers to completely dominate the world. Social and political sciences still lack the measurement and predictability required for true scientific analysis. The use of algorithms in these fields cannot be considered a reliable and reproducible experiment, as it does not meet Karl Popper's criteria for empirical falsification.
One of the fascinating aspects discussed in the book is the influence of algorithms on jobs. Steiner compares this to the industrial revolution, predicting that automation will dramatically reshape the global workforce. With algorithms controlling machines to perform tasks previously done by humans, the production of goods will become increasingly automated. According to Steiner, technology will dominate the primary growth industries, and no job will remain untouched by algorithms. Even medical services, such as analysis and drug prescriptions for common ailments, will be handled by algorithmic systems. This shift will create significant job opportunities for code hackers, while traditional labor positions may disappear.
In essence, Steiner's book serves as a recruitment tool for aspiring code hackers. He emphasizes the importance of acquiring basic math skills, learning to code, and preparing for a future of automation and exploration. Steiner suggests that young and future generations should consider these skills to secure their place in the job market.
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