不求谌解

不求谌解

💻 Web Dev / Creative 💗 ⚽ 🎧 🏓
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Week in April 16, 2023

Articles Read#

Products#

web3#

ramper
particle

AI#

Books Read#

  • "Building a Super Brain"
  • "Thinking, Fast and Slow"

Some Thoughts#

From the two books I read, I want to share some recent thoughts.

"Building a Super Brain" mainly discusses three themes: 'Input', 'Output', and 'Continuous Evolution'. Throughout the reading, the methods proposed by the author in various sections were not particularly new to me. More of my reflections are about my past learning experiences. Whether in programming or writing, I feel like I am still in the 'beginner zone'.

For the 'Input' section, I usually complete it by subscribing to RSS feeds and public accounts, as well as following some 'experts' on Twitter and Jike who post tweets or write blogs. I also regularly organize my likes on Twitter and cut out quality articles I come across into Yuque for easy review. Sometimes I also read books mentioned in articles. I think I do well in this area because I can always discover high-quality articles and first-hand industry information.

Regarding the 'Output' section, it is clear that I have many shortcomings. Currently, I accomplish this by writing blogs and posting tweets. The main issues lie in procrastination and low writing efficiency. This book discusses some methods of 'easy writing' and 'continuous writing'. To break out of the beginner zone, this is the area I need to improve the most.

In the 'Continuous Evolution' section, the book mentions 'how to become addicted to writing', 'cross-disciplinary learning', and 'quickly learning a new field from scratch'. I believe this part reflects the abilities from the first two sections, and it is more about making choices.

I actually read "Thinking, Fast and Slow" a long time ago. A few years ago, I took a course on 'Everyday Thinking and Science' on MOOC, and many of the cited examples came from this book. The book contains numerous examples explaining how we make judgments and decisions in our lives.

Many classic books need to be read repeatedly, and when reading, I should also apply some of the 'output' methods mentioned in the first book. Additionally, I am considering how to use AI tools to enhance efficiency, the so-called 'second brain'. However, at present, if one only looks at the content summarized by AI, it is akin to not reading books and merely looking at reviews; it only pretends to make us look smart.

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