Consistency vs. Intensity

There exists 2 schools of thoughts when trying to pursue something new. The first suggests that trying to learn something and improve even by a small bit but being consistent is the way to go. The latter suggests that you should be trying to progress when inspiration strikes and sit quiet otherwise.

Consistency is like training for a marathon, you run consistently starting with short distances and slowly building your way to a marathon. Intensity is when you get thought or an idea that gets you excited and you open up a blank sheet to pen it down.

Consistency is good for breeding a habit, while intensity is probably better to take advantage of those phases of clarity. Consistency is boring, but small wins motivate you. Silent periods are demotivating and it can be quite easy to fall out of what you were trying to do in the first place.

Evolving Content

There are lots of content out there, in many different formats. Tweets, Snaps, Blogs, Articles. What if they could evolve over time. And present itself in it’s new form to you every once in a while. And the time period between each generation is in line with the forgetting curve. A content delivery format which has spaced repetition built into it. Spaced repetition is one of the scientifically proven ways to remember something.

This gives rise to a new type of social media that is fundamentally built to make you remember more of it. Something like Anki, but combined with a infinite feed of social media apps. This could make a very good medium for educational material. Material that does not require the immutable property of twitter. And each update for educational material can add more facts so that it links better in your own tree of knowledge.

Discipline

Doing something hard deliberately requires discipline. This is especially true when you are starting out to do something. And it feels like shouting out into the void and seeing no progress. One way to think about discipline is the training period for your brain to create a dopamine feedback loop. The need for standing out and the pursuit of perfection is an enemy during this period. But after passing that period, it won’t feel like you need to put in a lot of discipline to continue. Moreover, it becomes effortless with time. The next phase involves progressing and making it harder, although it may not feel that way. And that’s when the Goldilocks Rule kicks in. This rule states that humans experience peak motivation when working on tasks that are right on the edge of their current capability. Understanding the “why?” behind that task also factors into this a bit. The incentives have to be aligned in some way for a habit to manifest.

Just. Do. It.

What are Models?

A model is a representation of a real world system. In most cases, they are a simplification of this real world. Models are used extensively within all fields to better understand any system. Ranging from cosmic events to the model of an atom. Models also help us predict the behaviour and manipulate outcomes of systems. There are 2 components to the use of models, one is the academic aspect and the other is the application aspect.

Models can be mathematical. If the behaviour of a system can be represented by a set of parameters and the relation between these parameters can be deduced via experiments, natural observation, logical reasoning etc.
Models can be more abstract than a set of equations. Models can be in the form of data in tables, like financial models in a spreadsheet. A flow chart can be used to represent a process and interaction between stages in a process. Models can be a block diagram that breaks down a system into its constituents and shows the relation and interaction between them. These kind of models are widely used within the realms of systems engineering. Thought processes and intuitive perception can be expressed using mental models. Mental models are just explanations of thought processes.
In a nutshell, models can take a form of numbers, equations, diagrams or text.