#011 | Don't chase Discipline, chase Fun instead

Hi, I’m Ryan! You are receiving this because you have signed up to my weekly newsletter for Natural Language Processing (#NLP365), Entrepreneurship, and Life Design content!

Hey friends,

I am not discipline. I am just having fun.

I caught myself saying the quote above a few times this week and so I thought I turned it into a newsletter :) Whenever I am deciding which projects to pursue, I always use two main factors:

  1. Strong WHYs

  2. Fun Factor

Here’s what I have observed. Most people have a WHY for doing something but their WHYs are often not strong enough for them to stay consistent with a project.

Only a minority of people have strong WHYs. But what’s even rarer is the second factor, the Fun Factor. And that’s what I want to talk more about today.

If you have strong WHYs, you will be able to fight through hard times and persist through the entirety of a project. You will be able to experience rapid growth and improvement. You feel great and are happy to move on to your second project, which also went well.

But then, you start to notice something different on your third project. You start to feel tired and worn out… you start to experience burnout. You are mentally exhausted, lack motivation, and constantly procrastinate from your todos.

This is a very common thing amongst people who are ambitious and are constantly on the grind to achieve more. You remove all the fun things in your life and start grinding out on what’s important till eventually the inevitable burnout happens.

The Fun Factor

To prevent burnouts, you need to include the fun factor when deciding which projects to pursue. The fun factor simply means you need to have fun. Enjoy the process. Ever wonder why video gamers can play 16 hours of video games a day for years? It’s because they are having fun.

They are not discipline. They are just having fun. And that’s how I approach my projects.

This week I finished reading:

  1. I Will Teach You to be Rich (15th Mar - 19th Mar 2021)

  2. 12 Months to $1 Million (20th - 21st Mar 2021)

3 books to go! One week left till end of Q1 2021

Total: 23 / 26 books | 2 / 26 level 4 notes | 2 / 12 actions

❓Question of the Week

What makes you happy?

Whatever makes you happy, do more of that ❤️

Share your thoughts by replying to this email. I would love to hear from you! 👻 👻 👻

🐦 Tweet of the Week

💡 Quote of the Week

All the books, podcasts, seminars, online programs, and inspiring social media posts in the world won’t work until you put your knowledge into action — Limitless

Knowledge is not power until it is applied — Dale Carnegie

What you waiting for? Join our action-focused slack channel below! 😁

🔥 Recommendation(s) of the Week

We have launched our MVP for the Zeroton platform!!

Please check it out here @ https://beta.zeroton.io/.

Join Zeroton’s ACTION-FOCUSED Slack Channel — We are in the process of looking for STRONG ACTION TAKERS, who wants to self-improve themselves through non-fiction books, to join our slack community.

Through the slack community, you will have access to the following:

  1. Weekly group zoom calls with myself and other like-minded people to discuss actionable insights from different non-fiction books. We will keep each other accountable and share personal experience in testing different actions!

  2. Monthly Habits Challenge

To join our Slack community, click here.

🔦 AI Research - Temporal Knowledge Graphs

Temporal knowledge graphs incorporate temporal information for representation learning. There are four different research fields:

  1. Temporal embedding

  2. Entity dynamics

  3. Temporal relational dependency

  4. Temporal logical reasoning

This area is significantly less explored but it's extremely important! Structured knowledge graphs are only valid for a particular time period as facts evolve over time.

Temporal Information Embedding

We can infuse temporal information by extending our original triples into temporal quadruple (h, r, t, tao), where tao provides additional temporal information about the fact. The tao could be timestamp embeddings, representing the period of time the fact is valid for. With this timestamp embeddings, you can have a dynamic knowledge graph and static knowledge graph can be generated by supplying a specific timestamp!

Entity Dynamics

The state of entities is constantly changing based on real-world events, which subsequently affect the relations between entities. For embedding approach, we could use entity and timestamp as input to an entity embedding function to capture the temporal-related characteristics of entities at any given time. For example, Know-evolve explores the knowledge evolution phenomenon of entities and relations.

Temporal Relational Dependency

This means that there are temporal dependencies in relational chains. For example, wasBornIn-->graduateFrom-->workAt-->diedIn. Ideally, we want our model and knowledge graph to have these temporal order and information!

Temporal Logical Reasoning

We could also apply logical rules for temporal reasoning!

🎥 This Week on YouTube

That’s it for this week! I hope you find something useful from this newsletter. More to come next Sunday! Have a good week ahead! 🎮

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