809 karma · joined January 5, 2019
Your take on having parallel universes is also interesting: I believe that there definitely are parallel worlds (this is where we extend into the 5th dimension) - so we may have a very deep call stack!
'I got the idea while building some procedural plot generators. The characters have their free will and diverging paths, but it only picks the paths that were predestined for a reason.'
Wow - interesting! Now we're diving into 'free will.' So, the characters which you programmed - would you say that they have a will? Or did you program them to pick those paths? You can almost say that it's self emergent system?
Great book: https://dataintensive.net/
Also great read and overview: http://www.redbook.io/
Great paper over-viewing the architecture of a DB: https://perspectives.mvdirona.com/content/binary/Architectur...
If you're looking into building your own database, there are some great open source projects you can reference here: https://github.com/danistefanovic/build-your-own-x#build-you...
If you want to actually dive into source code - SQLite is amazing. It has very clean and readable code, so I'd suggest using it as a reference as well: https://github.com/mackyle/sqlite
I understand the sentiment of the paper, but it doesn't answer my question. Is there a causal mechanism? If there is an intellectual being - what is its cause? And if not - is there a cause for the cause?
Let me give you a bit more info on what I believe in: the universe has a self-causal mechanism. We are all God, and intelligent life isn't an accident created by the universe. It's an emergent and 'programmed' mechanism which causes it to spring into existence. I'm hoping to see some other viewpoints from the crowd here - so I do appreciate you're input, but it still doesn't answer my question: what belief do you have which might be different from the mainstream view? You seem to be leaning more towards what's already there...what makes your viewpoint different?
"Eastern beliefs can escape these two points by saying the universe creates itself in a loop. Which still sounds tautalogical"
The universe in my opinion is a self-causal mathematical loop. If you believe in God - he escapes causality, which to me ... doesn't really meet the truth and beauty equations I'm trying to complete. The other scientific hypothesis is in the same boat: they formulate a theory based on an accidental beginning which forms according to a wave function which 'tries out all possible laws' - and the same theory comes to a stop when trying to answer the question: what is it that created the wave function?
I want to see other viewpoints to try to see if anyone else is as curious about this as I am - so I hope I'm shedding a light on what it is I'm asking for.
In the James Scott Prize Lecture that he gave on 6 February 1939, Dirac spelled out his new ideas of the relationship between mathematics and physics which focused on the concept of mathematical beauty. Many years before his brother in law Eugene Wigner famously problematized the unreasonable effectiveness of mathematics in the natural sciences, Dirac discussed the same topic. How is it that the mathematical-deductive method is so remarkably successful in physics? According to Dirac:
“This must be ascribed to some mathematical quality in Nature, a quality which the casual observer of Nature would not suspect, but which nevertheless plays an important role in Nature’s scheme. One might describe the mathematical quality in Nature by saying that the universe is so constituted that mathematics is a useful tool in its description. However, recent advances in physical science show that this statement of the case is too trivial. The connection between mathematics and the description of the universe goes far deeper than this.”
In his James Scott Lecture and at numerous later occasions, Dirac asserted that the modern history of theoretical physics provides convincing evidence that there is a perfect marriage between the rules that mathematicians find interesting by their own standards and the rules that govern natural phenomena. He thought this was not accidental, but that it might reflect some deep identity between mathematics and physics:
“Pure mathematics and physics are becoming ever more closely connected, though their methods remain different. One may describe the situation by saying that the mathematician plays a game in which he himself invents the rules while the physicist plays a game in which the rules are provided by Nature, but as time goes on it becomes increasingly evident that the rules which the mathematician finds interesting are the same as those which Nature has chosen. It is difficult to predict what the result of all this will be. Possibly, the two subjects will ultimately unify, every branch of pure mathematics then having its physical application, its importance in physics being proportional to its interest in mathematics.”
Dirac suggested that future developments in theoretical physics would lead to the “existence of a scheme in which the whole of the description of the universe has its mathematical counterpart.” In accordance with this philosophy, he advised physicists to “begin by choosing that branch of mathematics which one thinks will form the basis of the new theory. One should be influenced very much in this choice by considerations of mathematical beauty. . . . Having decided on the branch of mathematics, one should proceed to develop it along suitable lines, at the same time looking for that way in which it appears to lend itself naturally to physical interpretation.”
Source:
https://blogs.unimelb.edu.au/sciencecommunication/2017/09/24...
He was an outstanding man with outstanding insights on the nature of matter and the universe.
Quantum Electrodynamics (Feynman): A summary of how almost EVERYTHING works (albeit explained simplistically).
Poor Charlie's Almanack: The Wit and Wisdom of Charles T. Munger (great insights / worldly wisdom from one of the world’s greatest investors).
The Vital Question: Energy, Evolution, and the Origins of Complex Life
The Princeton Companion to Mathematics (Great overview of mathematics).
Quantum Mechanics: Concepts and Applications (Great QM book).
Wooden on Leadership: How to Create a Winning Organization (Great leadership / management insights).
Why Does the World Exist?: An Existential Detective Story
Sapiens: A Brief History of Humankind (An extremely simplified historical overview of how we got here).
The Book of Disquiet (Serpent's Tail Classics) (Random journaling from one of the world’s greatest prose writers: Fernando Pessoa).
Code: The Hidden Language of Computer Hardware and Software (Excellent explanation on how computers work from bottom -> top).
The Machinery of Life (Includes excellent visuals in biology).
The Character of Physical Law (Great insights in physics by Feynman).
The Goal: A Process of Ongoing Improvement (Great book on business process improvement).
How to Win Friends & Influence People (Nothing groundbreaking, but still a worthy read).
Coders at Work: Reflections on the Craft of Programming (Great info and insights from some of the greatest software developers of all time).
The Periodic Table (Great read and some of the greatest prose writing you’ll ever encounter).
If anyone is interested, I also made a 'Learn R by Example' project which attempts to teach R through code comments: https://github.com/photonlines/Learn-R-by-Example
“Second-Order Thinking: What Smart People Use to Outperform” - the author makes a broad claim that all smart people use second order thinking to outperform those who aren’t smart.
Questions: What makes the author credible, and what data / research does he/she have in order to support the claim? He/she cites Howard Marks as an example, but is Howard Marks really enough to support the claim for such a broad and generalized statement? What about the fact that even people who try to think deeply tend to get it wrong often-times, which has been shown to be true over and over again? Example:
https://www.nytimes.com/2011/10/23/magazine/dont-blink-the-h...
That’s not to say that I disagree with the premise – I think that in general, this piece puts forward a hypothesis that smart people are deep thinkers who think critically and deeply about the effects of their decisions, while those that aren’t so smart might not put such an effort in. There is some truth to the statement the author puts forward, but by no means is this the differentiating factor between smart people and the not-so-smart. I’m not an expert in this field either, but I’ve read a lot of stuff from Feynman, Einstein, and the geniuses of the field, and I find that some of the things which differentiate them from the rest are:
1. Deep curiosity. They were incredibly interested in finding out how things work / solving a problem. 2. Persistence: They worked hard to achieve what they wanted to achieve and didn’t give up. 3. They used their visual cortex / visual systems a lot. Tesla for example would have live simulated conversations with other people and build things inside of his head. Einstein is in the same boat - he would spend hours trying to visualize concepts. This makes total sense from my perspective. We have a heck of a lot more capacity to process information using our visual cortex than other areas in out brains. We can process something like 10 million bits per second vs. a much lower capacity in other brain areas. When you read silently for example, you're only processing around 45 bits per second.
Apologies for the long write up here – I guess I might be over-analyzing things a bit, but I just don’t really see the point of this article, nor do I see it pointing out the real differentiating factors between those that are ‘smart’ and those that aren’t, and I think the author is making a very broad statement and doesn’t have any data to support his/her claim. Howard Marks also by the way is not a class above other investors. He still uses a value-based approach in a time where the value based strategy doesn’t really guarantee maximum returns. It doesn’t mean that he isn’t bright – he definitely is. I just don’t think that this presents enough evidence or data to support the generally broad claim made in the article.
Originally, I was trying to learn Kotlin along with wanting a refresher in Prolog, so I attempted to do the port using Kotlin and gave up half way though. I didn't have the patience to try to grok too many things at once, so I decided to go with Python due to it's simplicity, popularity, as well as the fact that I'm a lot more fluent in it than I am in Kotlin.
Anyways - sorry if I'm going off track. To answer your question, I grokked the implementation details through porting / refactoring the original code. The concepts / unification I was already familiar with from taking a university course which involved Prolog and from using it in a large AI project. From what I remember, it took me quite a long time to grasp the language and its power!!