Conversations With Jon: Recent Episodes

Jon Yeo, Jonathan Lim

A podcast on all things related to life, enjoyment and the discovery of knowledge. We've been friends since secondary school: Jon Yeo is currently a medical student and he enjoys thinking about the ways we can live happier and meaningful lives. Jonathan Lim has a strong interest in Mathematics and Computer science. Feel free to email us at convos.with.jon@gmail.com!

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Timeline

00:00 - 14:28 Chapter 4 (Why Your Boss Is Overpaid)

14:28 - 22:43 Chapter 5 (In The Neighbourhood)

22:43 - 30:54 Chapter 6 (The Dangers of Rational Racism)

30:54 -37:32 Miscellaneous learnings over the week

Main Points

Office Politics: Goodhart’s Law,

Why CEO pays are drastically higher,

Areas of Rich/Poor in cities tend to stay the same,

"Rational Racism" and phenomenon of “Acting White”,

Why often the needs of the few are met over needs of many,

Group settings amplify biases & first speaker importance

Links

Charles Booth Map: https://booth.lse.ac.uk/map/16/-0.1740/51.4994/0/0?marker=526848.0,179409.0

John Conway’s Game of Life: https://playgameoflife.com

Veritasium Video: https://youtu.be/HeQX2HjkcNo

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Timeline

00:00 - 04:40 Overview

04:40 - 20:14 Chapter 1 (Introduction)

20:14 - 26:50 Chapter 2 (Las Vegas)

26:50 - 40:14 Chapter 3 (Is Divorce Underrated?)

Main Points:

Rational Choice Theory,

Inherent Irrationality in Human Behavior,

Endowment Effect,

Rational does not equal to Intellectual,

John Von Neumann’s Game Theory,

Thomas Schelling’s Red Telephone,

Comparative Advantage

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Topics discussed:

ML models to predict time of death in palliative care

Random Walk (Mathematics)

Wearable Technology tracking Health

Reductionistic thinking in Medicine

Debate about how we talk about ‘battling’ sickness

Time stamps

0:47 - 06:35 Chapter 9 (AI and Health Systems)

06:41 - 17:36 Chapter 12 (The Virtual Medical Assistant)

17:36 - 19:26 Reflections on Cambridge Analytica, as shown on Netflix

19:26 - 20:20 Automating Research Mini-project

20:20 - 22:51 OpenAI’s GPT-3

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Topics discussed:

Machine learning (ML) models such as Neural Networks, Random Forest and eXtreme Gradient Boosting

Implications of Black Boxes

In-built biases in ML models

Public perception & debate on the existential threat of AI

Limitations of Natural Language Processing (NLP) (I.e. non-verbal communication)

Time stamps

0:47 - 1:07 Chapter 4 (The Skinny On Deep Learning)

01:07 - 16:13 Chapter 5 (Deep Liabilities)

19:11 - 23:03 Chapter 8 (Mental Health)

Sidetrack ~

21:31 Telegram Bot Automation

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Main Idea:

AI will take over the administrative side of medicine, and assist doctors to make better decisions by providing more accurate predictions (i.e. patient recovery period), and optimise resource allocation (i.e. how many days a patient has to stay in hospital)

Time stamps

01:49 - 06:42 Overview of Book

07:26 - 08:43 Preface

08:43 - 09:51 Chapter 1 (Introduction to Deep Medicine)

09:51 - 18:19 Chapter 2 (Shallow Medicine)

18:19 - 25:33 Chapter 3 (Medical Diagnosis)

Side track~

25:33 - 27:00 Book Recommendation: Noise by Daniel Kahneman

27:00 - 28:56 Importance of Data Cleaning when building ML models

28:56 - 30:08 Rule-Based Thinking Biases

30:08 - 33:32 Sharing about an insight about Dementia

Useful Links

Visualisation of Sort Algorithms (mentioned @ 5 min): https://www.youtube.com/watch?v=kPRA0W1kECg&t=49s

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This week we talk about the relationship between experience and knowledge and whether one should value one over the other. We also touch lightly on how AI may shift this dynamic between experience and knowledge.

Timestamps:

08min 03s: Exp vs Knowledge

14min 55s: The value of degrees

26min 56s: Will AI disrupt that dynamic

37min 20s: Emphasis on communication

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This week, we chat with Ryan who shares his experiences as a NS Policeman, his internship as an editorial writer, university, and his perspectives on the importance of "Putting yourself out there".

Timestamps:

5min 14s: Experiences as a NS Policeman

15min 03s: Interning as an Editorial Writer

19min 53s: "Putting Yourself Out There"

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In this episode Jon Yeo invites Jing Zheng (JZ) on as a guest on the show to talk about how we organise our life and manage our knowledge. We then talk briefly about having stoicism as a life philosophy. JZ also talks passionately about finance and investing towards the end of this wide-ranging episode.

Timestamps:

2min 50s: Productive workflows

16min 55s: JZ gives some thoughts on finance matters

20min 10s: Stoicism

41min 20s: Conversation turns back to finance, JZ talks about Crypto and investing

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This week we talk about talking to people, and we discuss how authentic we are when we interact with different groups of people.

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This week Liang Kai shares about his experiences studying in Canada, and Zacc shares about his passion for film making.

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This week, we have a conversation with two of my good friends on their uni choices, life pre-uni and experiences in army.

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This week, we discuss articles that we have come across over the past weeks.

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This week we talk about happiness in life, some stoic concepts as well as Jon Yeo's gripe with concrete, long-term goal setting. We apologise for the poor audio quality on Jon Lim's side (We're still getting the hang of this).

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In this week's episode, we talk about the concept of Ego-Depletion.

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This week we talk about religion - arguments and contradiction of the proof of god. We briefly touch on Aquinas' Five reasons and debate the various ways of proving something rigourously. We then discuss the big why's, question why we do things and the meaning of life.

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This week on Conversations with Jon, we talk about the reasons why we may not always like to speak up and we link this back to the imposter syndrome. We briefly talk about identity and how we assimilate many of the ideals and culture of the organisations that we join as part of our own identities. We then talk about being politically correct and also question ourselves on the topic of authenticity. We also touch lightly on our experiences of being leaders in the army.

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We talk about motivations to start this podcast, who we are, our expectations and roughly what you can expect from tuning in! Enjoy!