Welcome to Episode Nr. 2 of the DeSci Podcast - Today we're exploring the decentralized science reformation together with no other than Balaji Srinivasan! We're incredibly proud to be joined by such a smart and well-known mind as a second guest on "The DeSci Podcast" show!    

Topics of this episode:  

→ Key factors holding back scientific progress and how to change it (also via DeSci). 🧪

→ What role does AI play here?

→ The future of human optimalism.

→ How to make predictions in technology?

(+ many more & some great advice for DeSci builders at the end from Balaji)  

Due to his nature, we're slipping in many other interesting topics while tackling those above! 💙  

A huge thanks again to Balaji for taking the time and for the valuable input - We hope you all can take something away from this episode on your DeSci journey.  

Feel free to skip around the timestamps to find your favorite topics and thanks again for tuning in! Also, if you prefer listening to podcasts on audio apps, feel free to search for "How To DeSci" on Spotify, Google Podcasts & Apple Podcasts. You'll also find all links to the podcast apps and the show-notes below.   

If you want to join us on the show as a speaker or have guest ideas, please shoot us a mail at podcast@molecule.to  

You'll also find all links to Spotify, Discord, Twitter and our website via the link below - https://linktr.ee/thedescipodcast

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Special thanks to:   

Alex LaBossiere (Host): https://twitter.com/adlabossiere

Vincent Weisser (Chief Ecosystem Development Officer of Molecule): https://twitter.com/vincentweisser

Balaji Srinivasan: https://twitter.com/balajis

https://balajis.com/

https://balajis.com/the-purpose-of-technology/

https://thenetworkstate.com/

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Timestamps:  

00:00 - Intro  

01:30 - Introduction of Balaji & The Network State

06:45 - Key factors holding back scientific progress

14:17 - How to change the research & funding structure

21:00 - Commonalities between New York Times and the nature of the Scientific Journals

38:00 - How does scientific progress unfold?

44:50 - Can AI be a dominant driver here?

49:10 - How to make predictions in technology

54:40 - The cyclical approach of history  

01:02:48 - Advice for builders in the DeSci space

01:04:29 - Last words, book advice & outro  

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Show-notes of the episode:   

https://twitter.com/balajis https://balajis.com/

https://balajis.com/the-purpose-of-technology/ https://thenetworkstate.com/

https://nexus.od.nih.gov/all/2021/11/18/long-term-trends-in-the-age-of-principal-investigators-supported-for-the-first-time-on-nih-r01-awards/ https://newscience.org/nih/

https://twitter.com/patrickc/status/1544067890403389441

https://project-evidence.github.io/ https://www.quantamagazine.org/in-new-math-proofs-artificial-intelligence-plays-to-win-20220307/ https://github.com/camoverride/lit/blob/master/The-Princeton-Companion-to-Mathematics.pdf

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Let's connect:  

Website: https://bit.ly/3BXtFUn

Twitter: https://twitter.com/Molecule_dao

Discord: https://discord.com/invite/moleculedao

Molecule - The future of medicine belongs to everyone

Episode ID: 1000575022500

GUID: 87a5bfa9-2763-4308-bbdd-b48d9ca1f9d7

Release Date: 04/08/2022, 20:30:33