What connects all these clues?

Really, if you had to link all these, what would YOU come up with …   it turns our that all these are linked via George Gilder’s brain and imagination of   in his “Life After Google: The Fall of Big Data and the Rise of the Blockchain Economy “  (more details here)

(rank / xx / subject)

1          60        The System of The World

83        36        Artificial Intelligence

84        36        Machine Learning

88        35        Data Centers

92        34        Information Theory

117      28        Virtual Reality

118      28        Von Neumann

130      26        Computer Science

171      23        Human Beings

193      22        Smart Contracts

230      19        Larry Page

315      16        Open Source

316      16        Peter Thiel

320      16        The Dalles

407      14        Vitalik Buterin

421      13        Billion Dollars

422      13        Deep Learning

437      13        Markov Models

479      12        Brendan Eich

483      12        Central Banks

485      12        Data Centers

486      12        Elon Musk

497      12        Marc Andreessen

508      12        Private Keys

510      12        Public Keys

512      12        Search Engines

517      12        Speed Of Light

526      12        The Machine

553      11        Bell’s Law

558      11        Craig Wright

567      11        Human Intelligence

577      11        Muneeb Ali

578      11        New York Times

592      11        The Real World

614      11        Time and Space

643      10        Cloud Computing

651      10        Economic Growth

670      10        Jaron Lanier

673      10        Market Cap

677      10        Neal Stephenson

678      10        Nick Stab

691      10        Property Rights

834      9          Satoshi Nakamoto

869      9          Venture Capitalists

906      8          Bitcoin Blockchain

918      8          Eric Schmidt

919      8          Face Recognition

932      8          Google Brain

933      8          The Great Unbundling

934      8          The Ground State

945      8          Internet Architecture

960      8          Low Entropy

982      8          Princeton University

94        8          Scarcity Of Time

1024    8          Thiel Fellowship

1162    7          Hidden Markov Models

1163    7          High Entropy

1166    7          Human Brains

1167    7          Human History

1168    7          Human Minds

1184    7          Information Economy

1185    7          Information Technology

1242    7          Private Keys

1246    7          Ray Kurzweil

1253    7          Self Driving Cars

1254    7          Sergey Brin

1286    7          The Great Unbundling

1324    7          Turing Machine

1412    6          Bill Dally

1424    6          Charles Sanders Peirce

1445    6          Economic Activity

1544    6          Lambda Labs

1547    6          Leemon Baird

1639    6          Stephen Balaban

1739    6          Walled Gardens

1887    5          Being Human

1894    5          Bitcoin Maximalists

1898    5          Blockchain Technology

1977    5          Free Will

2001    5          Hal Finney

2019    5          Human Consciousness

2078    5          Kurt Gödel

2099    5          Mathematical Logic

2100    5          Mathematics of Creativity

Beyond the Usual AI and Machine Intelligence

Added  material to  the

Beyond the Usual –  Principal Texts & Papers

the Beyond topics

1. George Gilder –Life After Google: The Fall of Big Data and the Rise of the Blockchain Economy – worth reading to obtain additional perspectives. Some may be right, some may be wrong. Definitely technologically provocative. Will Google/Alphabet last?Do you know about the Dalles? You should. My first clue was through the book …OK … find out more about Google’s Data Centers. Find out more about other pieces worth knowing.

the Artificial and Machine Intelligence related topics

1. Gelernter, D. (2016). The tides of mind: Uncovering the spectrum of consciousness. WW Norton & Company.
2. Marquis, P., Papini, O., & Prade, H. (2014). Some Elements for a Prehistory of Artificial Intelligence in the Last Four Centuries. ECAI.
3. Scheutz, M. (Ed.). (2002). Computationalism: new directions. MIT Press.
4. Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach.
   This is an updated edition of the 2010 version containing extensive current references. [note the book is getting hard to find sometimes due to demand, and its being the definitive AI textbook. Check the edition you are using/getting]
5. Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction. MIT Press. This is an updated (2nd) edition of the 1998 version
6. Nilsson, N. J., & Nilsson, N. J. (1998). Artificial intelligence: a new synthesis. Morgan Kaufmann.
7. Poole, D. L., Mackworth, A. K., & Goebel, R. (1998). Computational intelligence: a logical approach (Vol. 1). New York: Oxford University Press.
   see also Artificial Intelligence: Foundations of Computational Agents 2nd Edition by the same authors.
8. Pratt, V. (1987). Thinking Machines—The Evolution of Artificial Intelligence. Oxford: Basil Blackwell. – this is a general history of earlier machines … great reference to get historical insights not easily obtained elsewhere.
9. Turing, A. M. (1948). Intelligent machinery. NPL. Mathematics Division. See also, Turing, A. (2004). Intelligent machinery (1948). The Essential Turing: Seminal Writings in Computing, Logic, Philosophy, Artificial Intelligence, and Artificial Life plus The Secrets of Enigma B. Jack Copeland, 395 which provides context and pointers to additional Turing resources.
10. B. Jack Copeland (2004), Computability: Turing, Gödel, Church, and Beyond, The MIT Press.

Hard(er) Core Science Fiction and Speculative Fiction works

1. 1. John C. Wright’s Count to the Eschaton series is worth reading … provides interesting glimpse into a possible (far) future. It’s also fun to read … so good ideas and an interesting, universe spanning plot.
   • Count to a Trillion
   • The Hermetic Millennia
   • The Judge of Ages
   • Architect of Aeons
   • The Vindication of Man
   • Count to Infinity

AI, The Real History: McCorduck’s Machines who Think

“The occupational activities of children are learning, thinking, playing and the like. Yet we tell them nothing about those things.”  per AI Pioneer Seymour Papert –  In Pam McCorduck’s Machines who Think, (an outstanding book; Pam is a great author, turns out she’s the wife of Joe Traub who was Computer Science Dept Chair at Carnegie Mellon University & Columbia University … and had amazing insight into the real story 🙂 – not found elsewhere ) https://amzn.to/2FwGmIu 

EXCELLENT EXCELLENT BOOK … It’s really packed with amazing insights and details hidden from the public view …

I didn’t realize Papert’s connection with Piaget and his deep understanding and interest in how children learn.  Of course Papert and Minsky’s Perceptrons were widely known [ and got a refresh boost . The Perceptron. ideas… which, in prehistoric times, with Marvin Minsky, helped pave the way to the AI we know today. — that’s where the real action was and maybe still is …  check the reboot. over at  https://amzn.to/2TNjok7