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 .p064 [[ https://en.wikipedia.org/wiki/John_L._Hennessy | John Hennessy ]] Stanford CS->President 2000-2016, [[ https://www.cnbc.com/2018/02/01/john-hennessy-replacing-schmidt-as-alphabets-new-board-chairman.html| Alphabet Chair ]] 2018
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 .p064 [[ https://en.wikipedia.org/wiki/John_L._Hennessy | John Hennessy ]] Stanford CS->President 2000-2016, [[ https://www.cnbc.com/2018/02/01/john-hennessy-replacing-schmidt-as-alphabets-new-board-chairman.html| Alphabet Chair ]] 2018 - present
 .p065 Hennessy says AI next, bay area 5x anybody else
 .p066 [[ https://www.npr.org/2024/03/18/1239283003/how-nvidia-dominated-the-ai-chip-market | Nvidia dominates AI ]]
 .p067 Nvidia 80% of GPUs
 .p067 High end [[ https://www.nvidia.com/en-us/data-center/h200/ | Nvidia H200 ]] Hopper $40K
 .p070 [[ https://www.reaganfoundation.org/ronald-reagan/quotes/since-this-is-the-last-speech-that-i-will-give-as-president-i-think-it-s-fitting | Reagan: "But anyone, from any corner of the Earth, can come to live in America and become an American.”
 .p071 [[ https://en.wikipedia.org/wiki/Patrick_Collison | Patrick Collison (Stripe) ]] "The fact that the talent is here or we can bring the talent here, that's what makes the whole thing work."
 .p072 DOJ [[ https://en.wikipedia.org/wiki/China_Initiative | China Initiative ]] ended 2022 Feb, lingering consequences
 .p075 [[ https://en.wikipedia.org/wiki/Reduced_instruction_set_computer | "RISC ]] is now used in 99% of all computer chips" ... Citation Needed
  .MIPS, SPARC, POWER, (early) ARM are RISC, x86 is CISC
 .p077 1884, 15yo Leland Stanford Jr. dies of typhoid in Italy
 .p078 Father [[ https://en.wikipedia.org/wiki/Leland_Stanford | Amasa Leland Stanford ]] tells mother "The children of California shall be our children"
 .p079 1885 founds Leland Stanford Junior University, funded with $45M, most of family's personal wealth, plus 8180 acres of Palo Alto farmland, largest landowner in the Santa Clara valley, now worth more than $20B.
 .p080 ~1900, Palo Alto grew 1/3 of the world's cherries, pears, apricots, and prunes
 .p081 Stanford U. land rich, academic mediocre. Stanford "IQ test" psychologist/eugenicist [[ https://en.wikipedia.org/wiki/Lewis_Terman's | Lewis Terman ]] father of engineer/professor [[ https://en.wikipedia.org/wiki/Frederick_Terman | Frederick Terman ]]
  ."steeples of excellence": world-class eminence in specific narrow fields rather than mediocre competence in all fields
 .p082 Palo Alto capital of the radio revolution. [[ https://en.wikipedia.org/wiki/Federal_Telegraph_Company | Federal Radio Telegraph Company ]][[ https://historysanjose.catalogaccess.com/photos/35170 | 913 Emerson Street ]]
 .p083 [[ https://en.wikipedia.org/wiki/Vannevar_Bush | Vannevar Bush ]] was Terman's advisor at MIT, in 1941 head of the [[ https://en.wikipedia.org/wiki/Office_of_Scientific_Research_and_Development | Office of Scientific Research and Development ]]
 .p084 Terman started [[ https://en.wikipedia.org/wiki/Radio_Research_Laboratory_(Harvard) | Radio Research Lab ]] at Harvard in 1942, grew to 850 people in 2 years, radar jammers and [[ https://en.wikipedia.org/wiki/Chaff_(countermeasure) | chaff ]]
 .p086 [[ https://en.wikipedia.org/wiki/Bill_Hewlett | Hewlett-]] [[ https://en.wikipedia.org/wiki/David_Packard |Packard ]] "1938" actually July 2 1939

The New Geography of Innovation

The Global Contest for Breakthrough Technologies


.p001 Introduction , Cpitalism with an Emoji Face

  • p009 Fig 1: Top ten #private >$B tech companies - US 1720, China 438, UK 183, Israel 119, India 117 ... 10

  • p010 Fig 2: Top ten venture dollars invested - US 190.2, China 38.5 , UK 16.2, India 13.5, ... 3.4
  • p012 Fig 4: WIPO Global Innovation Index - Switzerland 66, Sweden 62.6, US 61.7, ... 56.6 China


.p015 Ch1 . The Precocious Student

  • p015 David Wallerstein at Naspers then Tencent

  • p016 UC Berkeley grad
  • p017 Tencent peaked near $1T in 2021, dropped, regained in 2026
  • p017 WeChat IM. social media, and mobile payment for smartphones

  • p018 everyone in China uses WeChat, essential for smartphones

  • p019 Tencent now major multinational investor in gaming companies
  • p020 Tencent Pictures produces US franchise movies; Terminator etc
  • p021 investments in Moon Express and Planetary Resources (defunct 2018)

  • p022 in 2024 more investment flows out of China $163B than in $18.6B
  • p022 DoD added International Data Group to list of Chinese military companies

  • p023 US and China venture firms face saturated domestic markets
  • p024 Aixtron - German CVD manufacturing equipment website, China acquisition blocked

  • p024 Neura Robotics, China acquisition blocked wikipedia

  • p025 Hussein Kanji V.C. "We can't play there but they can play here"

  • p025 Lilium Munich flying car company, insolvent 2024

  • p026 US and Europe proclaim decoupling from China while increasing trade by 25%
  • p027 Tencent divested of 5% stake in Tesla
  • p028 Wallerstein: encourage positives, we aren't clear about desired destination
  • p029 MSRA Microsoft Research Asia in Bejing, 2015 paper Deep Residual Learning for Image Recognition layering neural networks improves performance

  • p030 >250K citations on Google Scholar

  • p030 2015 ImageNet competition, MRSA submission surpassed human level performance

  • p031 In 2022, China surpassed US in the Nature index

  • p033 1300 foreign companies with Chinese advanced research labs
  • p033 Ya Qin Zhang matriculated at 12yo to

    • USTC University of Science and Technology, "China's Caltech", in Hefei

    • finished PhD at GWU

    • IEEE Fellow age 31 in 1997
  • p034 now teaching at https://en.wikipedia.org/wiki/Tsinghua_University, dean of AI Research

  • p035 Six of ten top universities are in China, ahead of US
  • p037 ChatGLM, Chinese variant of ChatGPT

  • p037 Zhipu rebranded Z.ai in 2025, follows OpenAI a year later

  • p045 Waymo car attacked SF Chinatown 2024

    • book mentions only anti-Waymo incidents, not Waymo related-deaths and traffic felonies due to inadequate design.
  • p046 Shenzhen was a fishing village with 30K residents in 1980.

    • 17.5M in 2020, third after Shanghai and Beijing
  • p046 40yo, many died escaping to Hong Kong, today net inflow to mainland
  • p047 Zak Dychtwald

  • p047 1980 China GDP 2% of world, 2025, 20%
  • p048 online shops, free same day delivery in major cities
  • p048 store QR codes reveal entire supply chain from farm to shelf
  • p049 95% of citizens satisfied with government, each day better than the last (mistake in book: "next")

  • p050 State-owned companies 60% of listed market cap. 10 largest and 75% of Chinese Fortune 500 companies are-state-ownen
    • Crowds out private initiative, creative destruction off-limits
  • p050 Chinese IPOs required to be profitable, American Airbnb and Amazon were ont
  • p051 China forbids cryptocurrency, for-profit tutoring. Less than 3hrs/wk of video games -> gaming sector meltdown

  • p052 Deng Xiaoping "Let some get rich first", inequality moved from Nordic to US levels
  • p052 2021, curb "barbaric growth" with "Common Prosperity"
  • p053 01.AI model global top three with OpenAI and Google


.p055 Ch2 . Steeples of Excellence


.p097 Ch3 . Busting Monasteries

  • p097

  • p099

  • p101

  • p107

  • p112

  • p114

  • p115

  • p115

  • p115n Radix Blog 2018 Feb. 8 "Why blockchains don't scale"

    • "Every node processes each and every transaction, keeping a record of the entire blockchain."
    • Wrong! Neither Mehran Gul nor blogger Dan Hughes mentions Merkel Trees, which is how many individual transaction hashes are combined into trees of hierarchical hashes and and one root hash. For a binary tree of N transactions, the hash process to VERIFY ONE individual transaction uses order log2(N) time. Tracing a single transaction out of a million transactions takes only twice as long as one out of a thousand transactions, and one out of a trillion takes only twice as long as a million. Meanwhile, computation continues to get faster, hence as the tree grows from a million to a trillion, the hardware speed will more than double, and the verification time will become smaller.

    • Organizing and distributing all that data is a challenge; the global cost of that may be much larger than the block reward in bitcoins, but that cost is distributed among thousands (millions?) of miners and aggregators
  • p116n 2014 New Yorker, 2024 Dec. 15 John Colapinto "Material Question"
  • p117

  • p117

  • p117

  • p118


  • here is where I stopped reading; another library patron wants the book. The book isn't great, so I may not request it again



.p137 Ch4 . Hyper Gap

  • p1


.p168 Ch5 . Smart Nation

  • p1


.p201 Ch6 . Small Wonder

  • p2


.p236 Ch7 . The New Mittelstand

  • p2


.p267 Ch8 . Importing Genius

  • p2


.p300 Conclusion . Social Animals

  • p3

GeographyInnovation (last edited 2026-06-23 06:46:24 by KeithLofstrom)