Conversations With Jon

di 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!

Episodi del podcast

  • Stagione 1

  • Episode 17: The Logic Of Life by Tim Harford (Part 2)

    Episode 17: The Logic Of Life by Tim Harford (Part 2)

    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

  • Episode 16: The Logic Of Life by Tim Harford (Part 1)

    Episode 16: The Logic Of Life by Tim Harford (Part 1)

    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

  • Episode 15: Deep Medicine by Eric Topol (Part 3)

    Episode 15: Deep Medicine by Eric Topol (Part 3)

    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

  • Episode 14: Deep Medicine by Eric Topol (Part 2)

    Episode 14: Deep Medicine by Eric Topol (Part 2)

    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

  • Episode 13: Deep Medicine by Eric Topol (Part 1)

    Episode 13: Deep Medicine by Eric Topol (Part 1)

    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