Elon Musk quotes on business, entrepreneurship, iunnovation, team, success, achievement

I am interested in things that change the world or that affect the future and wondrous.

Elon Musk

 

 
Elon Musk quotes on business, entrepreneurship, iunnovation, team, success, achievement

If you're trying to create a company, it's like baking a cake. You have to have all the ingredients in the right proportion.

Elon Musk

 

 

Elon Musk quotes on business, entrepreneurship, iunnovation, team, success, achievement

Work like hell. I mean you just have to put in 80 to 100 hour weeks every week.

Elon Musk

 

 

He has a unique combination of skills, including engineering, physics, computer science, business, and leadership, that enable him to tackle complex problems and create groundbreaking solutions.
Musk's success in entrepreneurship, including space travel, is attributed to his foundational understanding of the subjects he pursued. Musk's advice for memorizing everything you learn is to read extensively, understand the material, and apply it.

The semantic tree method is an automatic method of semantical analysis, which consists of determinating the logical values of subformulas of the given formula.

Elon Musk’s Semantic Trees
samueljtanner DIgital Learning, How to study November 20, 2020 3 Minutes
I am a big fan of Elon Musk. He was born gifted, but he has been able to master how to learn, he reads a lot, surrounds himself with experts, and does a lot of experiments. Has been able to identify industries such as banking, energy, transportation, and space, that are important to the future of humanity and apply his unique thinking and resources to disrupt these fields.

One of the things that makes him unique is his ability to identify and master the core principles of a chosen field and then apply these to disruptive solutions. Elon Musk believes that most people have limited their capacity for creativity by not knowing how to outline their information in a way that leads to new connections.

Elon Musks has two stages of learning:

Semantic trees – build the trunk on first principles
Make connections – add peripheral knowledge as connections to these principles
Semantic trees
Not everything you learn in a field is equally important; some elements are central, and others are peripheral. Identify these central elements and then master them first before moving on to the peripheral elements.

“Make sure you understand the fundamental principles, ie the trunk and big branches, before you get into the leaves/details or there is nothing for them to hang on to.”

Elon Musk
Taking this semantic tree approach, you can create a conceptual framework of the fundamental ideas and central debates of a discipline to help you come up with new ideas that have value. Naval Ravikant suggests a similar idea when talking about aiming to be able to pick up any book in a library and understand it. By learning the fundamentals of a subject first, and then you can pick up and understand any text in that field.

Introductory textbooks are a great place to start building a conceptual framework for a new field. You can usually find the reading list for many university introductory courses on their websites as a starting point when looking at a new area. These introductory courses for some of the best universities in the world can also be found on Massive Open Online Course (MOOCs) platforms like EdX and Coursera if you need a more directed starting point.

Make connections
We remember things better by associating them with something we already know. The fundamental knowledge of an area can be used as ‘hooks’ for new learning to be attached, speeding up your understanding and helping you remember more of what you read. Once you have built the foundational truck of your semantic tree, you can start to read more widely around a subject to construct vast trees in across multiple sectors. By starting with the core knowledge and then adding the peripheral knowledge to the truck of core principles, you will find that although slower, in the beginning, you will be able to go much further and faster with your learning in the long term.

One approach that Bill Gates suggests is to find the leading thinker in a field and read everything they have published. This approach allows you to quickly find interesting peripheral knowledge and understand how these have been linked to the core principles by an existing expert. Once you have your semantic trees, over time, you can start to connect your current knowledge and new ideas as you come across them, using these connections to come up with new usable insights that can help you build experiments in your work.

Build your first tree
When approaching a new area, first learn the core principles and then move on to the advanced material, making connections to these core principles for faster and better learning. Build the truck first and then read everything you can to make the connections.

Try building a tree now;

Open a blank document (paper or digital) and write the disciple as a title at the top of the page.
Have a go at listing five to six fundamental principles in that area; these might be a formula in a maths-based subject or rules in a non-technical discipline.
Try to find the reading list of an introductory module at the top university for that subject and edit your list with these new items.
Now you have the trunk for your semantic tree, add any peripheral knowledge, ideas, or debates you can think of, using the core text and a Google search to help.
Connect the peripheral elements to the fundamental principles you believe they relate to in your tree.
I would highly recommend reading Ashlee Van’s book on Elon Musk and The Almanack of Naval Ravikant.