Partially true, but if you want to develop a framework for understanding the latest new knowledge, you have to go back in time and read the thoughts of great thinkers. We make the false assumption that people in the past don't think as well as people today.
Too many people today are building up their knowledge using very shaky foundations. So it does not matter if you watch the latest youtube videos and blogs, to get a deeper understanding requires an investment in books.
Information overload is what limits one's acquisition of knowledge. We make the false assumption that we are also like computers that can take in an infinite amount of information. Where we value speed of acquisition over the slow process of knowledge osmosis.
So what we actually have today are people who know a lot of information at the surface level but cannot stitch the information together into a cohesive whole. Being able to create good abstractions takes a lot of time.
A lot more time than a single person has access to. Thus, you want to leverage the fact that thinkers in the past also spent a lifetime exploring complex topics. Reading a book gives you access to that lifetime of thinking.
However, I have to agree that books are problematic. I don't think humans have the ability to digest all the knowledge that is contained in a single book. It gets exponentially more difficult the more books you read.
I just realized the other day that my physical library has just gone out of control! I have no more bookshelf space and now the books are stored in crates. I have come to accept that I can no longer consume the rich contents of these books.
I am buying books at several orders of magnitude faster than I can actually consume them. I need a better process. That's why I'm looking into the latest developments in NLP as my salvation.
Yes, it's true that the latest knowledge can be found in blogs and youtube videos. It's true that these formats allow you to digest information more efficiently because the chunks are small enough to be digestable.
But if you want to create new knowledge that nobody else has created, then you have to seek a diversity of perspectives. There are plenty of thinkers in the past that most people are unaware of. We only know of the ones whose ideas aligned with the ideas of their time.
But what about all the thinkers who were decades or centuries ahead of their time? Have you read Norbert Wiener who half a century ago was concerned about AI automation and human civilization?
What about C.S. Peirce who a full century ago explored the nature of signs and inference? What about Ludwig Wittgenstein who explored the nature of language and thus human cognition? Are these people blogging or youtubing today?
Neil Patel is a marketer and he seeks a larger audience that perhaps just wants to get things done. But if you are more ambitious, then without a doubt you need to read books. Every difficult topic requires a deep investment in time, a marketer is unfamiliar with this.
You don't learn how to manufacture semiconductors or create vaccines by watching youtube videos and reading blogs. Deep technology is just at a different level of knowledge acquisition that most people are ignorant of.
Every scientist or engineer is familiar with this. You cannot say the same as management and marketing types. These types are under the illusion that knowing the jargon is the same as having a deep knowledge of the underlying concepts. We've met many of these types in our work.
So what Patel is selling you is a shortcut. A get-rich-quick approach to knowledge. A majority of people gravitate to 'fast-food' knowledge. But too much of that can lead to a very unhealthy diet.
I am sure many Q-Anon followers spent a lot of time watching youtube videos, reading blogs and participating in chat rooms. Flat-earthers are also no different. But did they advance their understanding of reality?
It's easy to sound convincing. Heck, even a machine (GPT-3) can sound convincing! It's hard to understand reality. It's hard and it takes a lot of time.

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More from @IntuitMachine

11 Jun
Existing models of neurons or even single cells are woefully inadequate to simulate what's going on in the brain. Standard models are based on toy models that are conveniently easy to simulate. Scientific research has a bias toward the tools it has at its disposal.
However, we also should not underestimate the complexity that simple components can generate. Conversely, we can't ignore the consistency of behavior that a collection of complex parts generate.
The truth about general intelligence like the brain lies somewhere in between. Humans are complex beings, yet there exists a consistency of how collections of humans behave. Civilization would not be possible if not for common behavior that leads to emergent behavior.
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9 Jun
The average *daily* wage in El Salvador is $10. The average transaction fee on Bitcoin is $23. I guess only the wealthy Salvadorans need to concern themselves with Bitcoin.
However, the El Salvador government could issue notes and coins that are backed by BTC. This will allow for BTC to be transacted at zero cost at the physical layer (technically also at layer 2!).
BTC could be moved electronically using any of the wrapped BTC approaches employed on other blockchain networks.
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I think I figured out why a country might have its own local currency. It's the idea of having shared prosperity. That is, if a country makes progress, its currency becomes more valuable. But it also is a double-edged sword that includes the possibility of shared misery.
Today's global economy has local fiat currencies floating against each other. A strong economy leads to a strong currency that allows its citizens to pay less for imported goods.
Fiat currencies are intrinsically inflationary. Human needs can never be satisfied and we continue to demand more. Fiat currencies are printed to address ever increasing demand for goods.
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You can always hand custody of your Bitcoin to a centralized exchange and earn interest. Good luck with taking that risk!
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8 Jun
A representation in the mind is useful only when it stands in for the actual object that it represents. So as an example, if a representation depicts a room and the placement of the objects in it, it is useful to reason about navigating the room.
If the representation is a spoken sentence, then it is useful to reason about the correctness of the structure (i.e. grammar) of the sentence.
If it is music or choreography then that representation is useful to understand the internal consistency of the structure. Therefore, representation is only relevant if it has utility for subsequent cognition.
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Indeed, one shouldn't expect that people think in the same way. nytimes.com/2021/06/08/sci…
It's analogous to some people being aware of verbalization in their heads and is completely absent in others. It is surprising that people are too often surprised that this is true.
So are verbalization and visualization just unnecessary representations in our minds? I suspect they are useful in some kinds of tasks and not others. These are mechanisms for your mind to validate one's thoughts.
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