Episode Details

Back to Episodes

Paul Huang, the real situation in Taiwan: politics, military, China — #40

Season 2 Published 2 years, 11 months ago
Description

Paul Huang is a journalist and research fellow with the Taiwan Public Opinion Foundation. He is currently based in Taipei, Taiwan.

Sample articles:

Taiwan’s Military Has Flashy American Weapons but No Ammo (in Foreign Policy): https://foreignpolicy.com/2020/08/20/taiwan-military-flashy-american-weapons-no-ammo/

Taiwan’s Military Is a Hollow Shell (Foreign Policy): https://foreignpolicy.com/2020/02/15/china-threat-invasion-conscription-taiwans-military-is-a-hollow-shell/

Steve and Paul discuss: 

 

0:00 Introduction 

1:44 Paul’s background; the Green Party (DPP) and Blue Party (KMT) in Taiwan

4:40 How the Taiwanese people view themselves vs mainland Chinese

15:02 Taiwan taboos: politics and military preparedness

15:27 Effect of Ukraine conflict on Taiwanese opinion

29:56 Lack of realistic military planning

37:20 Is there a political solution to reunification with China? What influence does the U.S. have?

51:34 The likelihood of peaceful reunification of Taiwan and China

56:45 Honest views on Taiwanese and U.S. military readiness for a

conflict with China

Music used with permission from Blade Runner Blues Livestream improvisation by State Azure.

--

Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon. Hsu is a startup founder (SuperFocus.ai, SafeWeb, Genomic Prediction) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU.

Please send any questions or suggestions to manifold1podcast@gmail.com or Steve on Twitter @hsu_steve.


Announcing this for some friends at Mechanize - a startup that builds environments for training and evaluating frontier LLMs. Its customers include the top AI labs, and it has contributed to the breakthrough in coding capabilities of frontier models. 


Mechanize is hiring! 

https://mechanize.work/b/hsu 


Compensation is extremely competitive. For technical roles, $300-500k. They are also seeking smart generalists. 


For example: 


Research Engineer, Alignment: Build evals that test for misaligned model behaviors  $500K salary 


Puzzle Maker: Design interesting and original puzzles that LLMs can’t yet solve  $300K salary 


Mechanize understands that my readership is highly selected. There is a VERY GOOD CHANCE you will be interviewed if you apply via the link above.

Listen Now

Love PodBriefly?

If you like Podbriefly.com, please consider donating to support the ongoing development.

Support Us