Learning is composed of two elements: surprise and memory. If you go about life and nothing is surprising then you wouldn’t have anything new to learn. Similarly, if you don’t retain the lessons from being surprised then you haven’t learned it.
See also:
- From the The Clock of the Long Now
- There’s always something more to learn. Experience is an illusion of system completeness
- Lecture - Learning to Learn
Links to this note
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How to Detect and Eliminate Errors Is the Most Important Knowledge
For new knowledge to be created, there needs to be an error correcting mechanism. This makes it the most important knowledge for progress and innovation.
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Faster is more productive because it is a multiplier on tasks you spend a lot of time doing (thinking, writing, typing, debugging).
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How to Build an Intuition of What AI Can Do
One of the difficult parts of applying AI to existing processes and products is that people aren’t calibrated on what generative AI can and can’t do. This leads to both wild ideas that are not possible and missed opportunities to automate seemingly difficult work that is possible.
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Writing Makes You Live Curiously
Questions naturally arise when writing. Since writing is thinking, when we turn over an idea in our head, we can’t help spotting things we don’t understand or finding a topic we want to learn more about.
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The idea that everyone has their own learning style and learning is most effective when teachers use your style is not based on any scientific evidence.