HAPPY 2024: in this 74th year since The Economist started mediating futures of brainworking machines clued by the 3 maths greats NET (Neumann, Einstein, Turing) people seem to be chatting about 5 wholly different sorts of AI. 1BAD: The worst tech system designers don't deserve inclusion in human intel at all, and as Hoover's Condoleezza Rice . 2 reports their work is result of 10 compound techs of which Ai is but one. Those worst for world system designs may use media to lie or multiply hate or hack, and to perpetuate tribal wars and increase trade in arms. Sadly bad versions of tv media began in USA early 1960s when it turned out what had been the nation's first major export crop, tobacco, was a killer. Please note for a long time farmers did not know bac was bad: western HIStory is full of ignorances which lawyer-dominated societies then cover up once inconvenient system truths are seen. A second AI ecommerce type (now 25 years exponential development strong) ; this involves ever more powerful algorithms applied to a company's data platform that can be app'd to hollow out community making relatively few people richer and richer, or the reverse. You can test a nation's use of this ai by seeing if efinance has invested in the poorest or historically most disconnected - see eg bangladesh's bklash, one of the most populous digital cash systems . Digital money is far cheaper to distribute let alone to manually account for so power AI offers lots of lessons but whether its good or not depends in part on whether there are enough engineers in gov & public service to see ahead of what needs regulating. There are 2 very good ai's which have only scaled in recent years that certainly dont need regulating by non engineers and one curious ai which was presented to congress in 2018 but which was left to multiply at least 100 variants today the so-called chats or LLMs. Lets look at the 2 very good ai's first because frankly if your community is concerned about any extinction risks these AI may most likely save you, One I call science AI and frankly in the west one team is so far ahead that we should count ourselves lucky that its originator Hassabis has mixed wealth and societal growth. His deep mind merged with google to make wealth but open sourced the 200 million protein databank equivalent to a billion hours of doctorate time- so now's the time for biotech to save humanity if it ever does. Alongside this the second very good AI graviates around Fei-Fei Li) in developing 20 million imagenet database so that annual competitions training computers to see 20000 of the most everyday sights we humans view around the world including things and life-forms such as nature's plants and animals. Today, students no longer need to go back to 0.1 programming to ask computer about any of these objects; nor do robots or and autonomous vehicles - see fei-fei li's book worlds i see which is published in melinda gates Entrepreneurial Revolution of girl empowerment
ED , VN Hypothesis: in 21st C brainworking worlds how people's times & data are spent is foundational to place's community health, energy and so natural capacity to grow/destroy wealth -thus species will depend on whether 1000 mother tongue language model mediates intelligence/maths so all communities cooperatively celebrate lifetimes and diversity's deep data ) . Check out "Moore exponential patterns" at year 73 of celebrating Game : Architect Intelligence (Ai) - players welcome .. some jargon

Monday, May 8, 2023

Timeline of Intel and Economics

 This is what our diaries have recorded - we welcome additional diary inputs

ED: 1951 was when Economist Journalists first met Von Neumann in Princeton and decided that  the intended mediation futures of The Economist founded 1843 (to assist Queen Victoria in redesigning Empire maps towards Commonwealth goals of ending poverty and ending hunger through designing above zero-sum trade) and alumni of Princeton's maths TEN (Turing Einstein Neumann) were humanly, as well as logically, convergent.

 Von Neumann et al used the term artificial machines (probably coined historically by Babbage!)- Neumann's last work  (written during his last 18 months ) is book "The Computer and the Brain". This is fundamental to deep discussion of Human and Inhuman Artificial Intel!. Recent media frenzy demanding 6 months halt to AI seems to be as unreasonable as demanding a halt to economics  -at least from perspective of 73 year learning curve

Titles of last parts of Neumann book on Computer & Brain are: Digital and Analogue parts in the Nervous System; Role of Genetic mechanism

Codes & Their Role in the functioning of a machine: complete code, short code

Full contents

As early as 1945 Von Neumann had told his wife - my supermaths generation's work on energy is going to make scientists both the most hated and wanted of people; one day the exponential consequences of artificial machines will be even more climactic to our species future. We hypothesise the exponential systems mapping intel around Ten alumni is where to find foundations of today's crisis of opportunity and threat in HAI "double loop". Von Neumann asked Economist journalists to continuously interview (brand charter) leaders- what goods will peoples unite wherever they are privileged to first access at least 100 tines more tech per decade? The first of  The Economist's decade-long learning curves concluded 1961 (see right) 1961 reveals  5 geonomic place labs exploring 100 times mo(o)re tech from now until computer memories exceed humans capacity: Swiss corridors where coms worldwide sectors began at ITU 1865 and since 1945 UN's digital tech twin; the two UNDPrincetion corridors N to Boston via eg IBM and Yale; South by S.West via DC to Houston soecialising in energy/nuclear and space. West Coast :Francis-Clare corridor with Stanford as its epicentre. Japan south coastal belt which by 1961 had linkedin Korea S and emerging Taiwan (as Chinese minds first lab in entrepreneurial freedom) since Brit's 1860 opium wars had closed down China's trading relationships. President Kennedy approved this 5-intel-space map 1962. 

Please note the actual twinning of AI Labs (MIT and Stanford) was advanced by McCarthy 1960 on. Chatgpt credits Macarthy with coining the term AI but adds this :   John McCarthy, who was one of the pioneers of artificial intelligence (AI), did refer to John von Neumann's book "The Computer and the Brain" in his own work.

In fact, McCarthy cited von Neumann's book as a key influence on his own thinking about AI and the relationship between computers and the human brain. In particular, McCarthy was interested in von Neumann's ideas about the similarities between the processing capabilities of the brain and those of a digital computer.

McCarthy also drew on von Neumann's work in his development of the programming language LISP, which is still widely used in AI research and programming today. LISP was designed to be a flexible and powerful language that could support the creation of complex algorithms and simulations, and it remains an important tool for researchers working in fields such as natural language processing and robotics.


  1. Neumann Book Computer & Brain - contents from page 60
    PROBLEM OF BRAIN WITHIN NERVOUS SYSTEM..memory capacity ..possible physical embodiments of the memory .. analogues with artificial computing machines
    DIGITAL & ANALOGUE PARTS OF THE NERVOUS SYSTEM : role of the genetic mechanism in the above context
    THE LOGISTICAL STRUCTURE OF THE NERVOUS SYSTEM : Importance of the numerical procedures .. Interaction of numerical procedures with logic ..Reasons for expecting high precision requirements
    NATURE OF NOTATIONS EMPLOYED NOT DIGITAL BUT STATISTICAL: arithmetical deterioration: roles of arithmetical & logical depths; arithmetical precision or logical reliability- alternatives; Other statistical truths of the message system that could be used

  2. Conversations with Fei-Fei Li seem to us to clarify 73 years of ups & downs of development of HAI (Humans & AI)
    ... Here is fuller extract from a typical FFL conversation -this with Reid Hoffman founder of linkedin- and a sample of where to track FFL maps around Stanford HAI and friends
    Video Chapters include:
    0:00 Introduction
    1:46 The Goal For Human Centered AI
    6:00 The Role of HAI in the Industry
    10:46 Importance of Being Human Centered
    13:49 Early Career
    17:51 Role of Industry in AI
    23:01 Model Safety and Reliability
    30:08 Ethics and Society View
    38:23 AI in Healthcare
    44:17 Robotics in the Business World
    49:43 Making America More Competitive in AI
    52:52 Diversity in AI
    AI Index Report 2023
    HeiFeil Li Stanford HAI . (follows 445) and Etchemendy.. .-Hai Launch Circles 2019 -  Hai seed Funds April 2023 Nai newsletter archives
    Health(PAC) & Adeli
    Sail behavior Object Folder MOMA Pair Robots
    AI4All Team ::::history and branches  including early support from Melinda Gates
      0:09 thank you all for joining us for today's conversations it's my pleasure to introduce my friend dr fei-fei lee;she is the sequoia professor of computer science at stanford university and the denning co-director of the stanford institute of human centered ai also known as hai before founding hai in 2019 she served as the director of stanford's ai lab she was a vp at google and chief scientist of ai and ml at google cloud during her stanford sabbatical in 2017 through 2018 she is also a co-founder and chairperson of the board of the national non-profit called ai for all focusing on training diverse k-12 students of underprivileged communities they've come tomorrow's ai's leaders obviously we all know that's super important and among her many distinctions she is elected member of the national academy of engineering the national academy of medicine and the academy of arts and sciences ; dr li also serves  on the 12th person national ai resource task force commissioned by the congress and white house official office of science and technology policy which is super important for all of us