Pessimism of the Intellect, Optimism of the Will Favorite posts | Manifold podcast | Twitter: @hsu_steve
Thursday, April 18, 2024
Glenn Luk: China’s economic evolution, GDP, and high speed rail — Manifold #58
Thursday, March 21, 2024
Russell Clark: Japan, China, and USD reserve status — Manifold #56
Wednesday, February 28, 2024
Awakening Siddhartha (podcast interview)
Thursday, February 22, 2024
Ray McGovern: CIA, JFK, Deep State, and Ukraine Crisis — Manifold #54
Monday, February 05, 2024
Superhumans and the Race for AI Supremacy - Hidden Forces podcast Episode 351
In Episode 351 of Hidden Forces, Demetri Kofinas speaks with Stephen Hsu, a Professor of Theoretical Physics and Computational Mathematics, Science, and Engineering at Michigan State University. Stephen is also the co-founder of multiple companies, including Genomic Prediction, which provides preimplantation genetic screening services for human embryos, and SuperFocus.ai, which builds large language models for narrow enterprise use cases.
This is a conversation about some of the most important advancements and trends in genomic science and artificial intelligence, including the social and ethical dilemmas arising from implementing these technologies at scale. Stephen and I discuss the competitive landscapes in both industries, how America’s geostrategic competition with China is driving tradeoffs between innovation and safety, the risks and opportunities that these revolutionary technologies pose, and how the world’s largest companies, economies, and military powers can work together to reap the benefits of this revolution while averting some of their most disastrous potential consequences.
Tuesday, January 16, 2024
Upstream podcast with Erik Torenberg: Steve Hsu on the Future of Everything
Thursday, January 11, 2024
Military Technology and U.S.-China War in the Pacific — Manifold #51
Saturday, December 16, 2023
Louis-Vincent Gave: Understanding China’s Economy, and U.S. Competition — Manifold #50
Thursday, November 09, 2023
Hypersonic Weapons and Missile Defense
Hypersonic Weapons: Vulnerability to Missile Defenses and Comparison to MaRVs
David Wright and Cameron L. Tracy
Laboratory for Nuclear Security and Policy, Department of Nuclear Science and Engineering, Massachusetts Institute of Technology
Center for International Security and Cooperation (CISAC), Freeman Spogli Institute for International Studies, Stanford UniversityAs I concluded long ago, current ship-based tech is not effective to defend even against older DF21 MaRV. See, e.g.,
Thursday, October 19, 2023
Bharat Karnad: India geostrategy, nuclear arsenal, and assassination of Homi Bhabha, the Oppenheimer of India — Manifold #46
".. their head expert was fully capable of building a bomb and we knew what he was up to. He was warned several times but what an arrogant prick that one was. Told our people to fuck off and then made it clear that no one would stop him and India from getting nuclear parity"
Thursday, October 05, 2023
Yasheng Huang: China's Examination System and its impact on Politics, Economy, Innovation — Manifold #45
Thursday, September 21, 2023
Huawei and the US-China Chip War — Manifold #44
Thursday, July 27, 2023
Paul Huang, the real situation in Taiwan: politics, military, China — Manifold #40
Thursday, May 25, 2023
David Goldman: US-China competition, AI, Electric Vehicles, and Manufacturing — Manifold #36
Thursday, January 19, 2023
Dominic Cummings: Vote Leave, Brexit, COVID, and No. 10 with Boris — Manifold #28
Thursday, October 06, 2022
Jeffrey Sachs: Lessons from the COVID Commission, Lab Leak Questions, and Nord Stream — Manifold Episode 21
Tuesday, October 04, 2022
SAT score distributions in Michigan
The state of Michigan required all public HS seniors to take the SAT last year (~91k out of ~107k total seniors in the state). This generated an unusually representative score sample. Full report.
I'm aware of this stuff because my kids attend a public HS here.
To the uninformed, the results are shocking in a number of ways. Look specifically at the top band with scores in the 1400-1600 range. These are kids who have a chance at elite university admission, based on academic merit. For calibration, the University of Michigan median SAT score is above 1400, and at top Ivies it is around 1500.
Some remarks:
1. In the top band there are many more males than females.
2. The Asian kids are hitting the ceiling on this test.
3. There are very few students from under-represented groups who score in the top band.
4. By looking at the math score distribution (see full report) one can estimate how many students in each group are well-prepared enough to complete a rigorous STEM major -- e.g., pass calculus-based physics.
Previously I have estimated that PRC is outproducing the US in top STEM talent by a factor as large as 10x. In a decade or two the size of their highly skilled STEM workforce (e.g., top engineers, AI researchers, biotech scientists, ...) could be 10x as large as that of the US and comparable to the rest of the world, ex-China.
This is easy to understand: their base population is about 4x larger and their K12 performance on international tests like PISA is similar to what is found in the table above for the Asian category. The fraction of PRC kids who perform in the top band is probably at least several times larger than the overall US fraction. (Asian vs White in the table above is about 6x, or 7x on the math portion.) Also, the fraction of college students who major in STEM is much larger in PRC than in the US.
This table was produced by German professor Gunnar Heinsohn, who analyzes geopolitics and human capital.
Note, I will censor racist comments.
Thursday, September 08, 2022
Lyle Goldstein on U.S. Strategic Challenges: Russia, China, Ukraine, and Taiwan — Manifold #19
Friday, August 19, 2022
Geostrategy and US-China Military Competition
Panic bells, it's red alert
There's something here from somewhere else
The war machine springs to life
Opens up one eager eye
Focusing it on the sky
-- 99 Luftballons
Sunday, August 14, 2022
Tweet Treats: AI in PRC, Semiconductors and the Russian War Machine, Wordcels are Midwits
Tsinghua University (dad's alma mater) seems to be the only academic institution in the world keeping up with big corp labs like OpenAI, Google Brain / DeepMind, Baidu, etc. in large AI models.
— steve hsu (@hsu_steve) August 12, 2022
(NB: partnership with AI startup. Similar US examples?)https://t.co/lFjMBbVU7p pic.twitter.com/0il2R2iE2s
Wordcels (e.g., in policy or geostrategy) have mystical ideas re: at-scale AI research, mistakenly linking progress to lone geniuses / democracy / open society..
— steve hsu (@hsu_steve) August 12, 2022
They don't realize it's an engineering problem that requires *very* capable teams, but well within PRC capability 🤔
RUSI report: semiconductor content of Russian weapons. Snapshot below from conclusions.
— steve hsu (@hsu_steve) August 14, 2022
Miltech almost never uses leading edge (e.g., 7nm) chips. Much older e.g. 200nm process sufficient. RUS can source from PRC or use sanction evasion networks...https://t.co/ol5cpTPA0l pic.twitter.com/bdL4SqEn4f
I quote "expert" reports like this because wordcels / midwits can't reason from first principles.
— steve hsu (@hsu_steve) August 14, 2022
Right-tail obvious inferences which go against conventional wisdom ("sanctions will crush RUS economy and war machine!" "UKR will win!") need to be "sourced" from "real experts" 🤔
On midwits and wordcels: g factor depends on M,V,S. If only V is high while M,S are mediocre, implies total g is ony in midwit range even if V (ability to make vacuous but impressive sounding BS arguments) is exceptional.
— steve hsu (@hsu_steve) August 14, 2022
See Stephen J. Gould!https://t.co/958kZW7MIb pic.twitter.com/pqwQywyTWc
Yes. Chips RUS needs for weapons cost ~$1 these days & can be sourced widely. Plus PRC is on the verge of indigenous 7nm.
— steve hsu (@hsu_steve) August 14, 2022
Confusion reveals Dunning Kruger nature of our punditry and political (even strategic) leadership.
Plenty more strategic confusion:https://t.co/u2Zwk18z10 pic.twitter.com/ML4YXs0bbi
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