#021 | Freedom is monetarily and emotionally expensive

Hey friends,

To me, Freedom is:

Out of three aspects of freedom, the one that we have the least control over is WHEN we want to do something.

If you want to travel to Asia and stay around for the next 6 months starting next week, would you be able to do it?

If you want to do nothing for the next 6 months starting next week, would you be able to do it?

If you want to do X next week, would you be able to do it?

The answer depends on what X is, but most probably you won’t be able to do it.

Why?

Most of us structure our lives around our 9 - 5 jobs. In exchange for some monetary salary ad stability, we give up some of our most valuable asset TIME. Out of 24 hours, assuming we sleep 8 hours, we are giving up at least 50% of our remaining waking up time to an external organisation, allowing them to control what we do, how we do it, and when we do it!

To gain our freedom back, aka more control over our time, we need to escape the 9 - 5 job mentality.

Freedom means quitting your well paid job and making 200% less pursuing something you are passionate for.

Freedom means abandoning the stability of a job and dealing with the uncertainty of starting your own venture and taking up the high risk that you might fail. You live life in your own terms.

The question is how much are you willing to pay for your freedom?

This week I am reading:

1. The Laws of Human Nature (26th Apr - In Progress)

❓Question of the Week

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

🐦 Tweet of the Week

💡 Quote of the Week

🔥 Recommendation(s) of the Week

For May 2021, we are working on new habits that surrounds the theme of wellness and health. This involves forming at least one of the three daily habits:

1. Read for at least 2 minutes

2. Exercise for at least 2 minutes

3. Sleep for at least 7 hours

If you are interested in joining May’s Habit of the Month challenge, please join Zeroton’s Slack Channel here.

🔦 AI Research - List of Papers on Knowledge Graph Embeddings that I have read :)

1. CoKE: Contextualized knowledge graph embedding

2. A Survey on Knowledge Graph Embedding: Approaches, Applications and Benchmarks

3. Quaternion knowledge graph embedding

4. RotatE: Knowledge graph embedding by relational rotation in complex space

5. TuckER: Tensor factorization for knowledge graph completion

6. Analogical inference for multi-relational embeddings

7. Complex embeddings for simple link prediction

8. Knowledge graph embedding by flexible translation

9. Knowledge graph embedding via dynamic mapping matrix

10. Learning entity and relation embeddings for knowledge graph completion

11. TransA: An adaptive approach for knowledge graph embedding

12. Embedding entities and relations for learning and inference in knowledge bases

13. Knowledge graph embedding by translating on hyperplanes

14. Knowledge vault: A web-scale approach to probabilistic knowledge fusion

15. Translating embeddings for modeling multi-relational data

16. Reasoning with neural tensor networks for knowledge base completion

17. A semantic matching energy function for learning with multi-relational data

18. A latent factor model for highly multi-relational data

19. Factorizing YAGO: scalable machine learning for linked data

20. Learning structured embeddings of knowledge bases

21. A three-way model for collective learning on multi-relational data

🎥 This Week on YouTube

Due to unforeseeable challenges, there will be no new youtube video this week! I will try to get back up to speed as soon as possible. Meanwhile, here are some of my previous videos 😊

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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