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

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

Gelernter, D. (2016). The tides of mind: Uncovering the spectrum of consciousness. WW Norton & Company.
Marquis, P., Papini, O., & Prade, H. (2014). Some Elements for a Prehistory of Artificial Intelligence in the Last Four Centuries. ECAI.
Scheutz, M. (Ed.). (2002). Computationalism: new directions. MIT Press.
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]
Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction. MIT Press. This is an updated (2nd) edition of the 1998 version
Nilsson, N. J., & Nilsson, N. J. (1998). Artificial intelligence: a new synthesis. Morgan Kaufmann.
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.
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.
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.
B. Jack Copeland (2004), Computability: Turing, Gödel, Church, and Beyond, The MIT Press.

Hard(er) Core Science Fiction and Speculative Fiction works

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.

Stanley & Lehman – Why Greatness Cannot Be Planned

Fascinating insights by Computer Science / Artificial Intelligence profs …

https://amzn.to/2DlhLnX

some have summarized their insights by writing: “only by doing activities that fulfill our curiosity without any pre-defined objectives, true creativity can be unleashed. They call this the ‘Myth of the Objective’: Objectives are well and good when they are sufficiently modest … In fact, objectives actually become obstacles towards more exciting achievements, like those involving discovery, creativity, invention, or innovation—or even achieving true happiness… the truest path to “blue sky” discovery or to fulfill boundless ambition, is to have no objective at all.”

some of Stanley’s and Lehmans insights:

“The flash of insight is seeing the bridge to the next stepping stone by building from the old ones. ”

“[Picbreeder] is just one example of a fascinating class of phenomena that we might call non-objective search processes, or perhaps stepping stone collectors. The prolific creativity of these kinds of processes is difficult to overstate”

“ measuring success against the objective is likely to lead you on the wrong path in all sorts of situations”

“You can’t evolve intelligence in a Petri dish based on measuring intelligence. You can’t build a computer simply through determination and intellect—you need the stepping stones. ”

“ambitious objectives are the interesting ones, and the idea that the best way to achieve them is by ignoring them flies in the face of common intuition and conventional wisdom. More deeply it suggests that something is wrong at the heart of search. ”

I find their books inspiring and insightful. Reframing questions and providing different lines of attack on AI and Search Optimization to Ambitious Goals …

Natural Question Answering Research at Google

just announce on the Google AI Blog …/

Natural Questions: a New Corpus and Challenge for Question Answering Research

this is pretty exciting …hope to this grow and have fruitful implementation on the Google search engine.

this is what the Google AI researchers are saying

…. there are currently no large, publicly available sources of naturally occurring questions (i.e. questions asked by a person seeking information) and answers that can be used to train and evaluate QA models. This is because assembling a high-quality dataset for question answering requires a large source of real questions and significant human effort in finding correct answers.

To help spur research advances in QA, we are excited to announce Natural Questions (NQ), a new, large-scale corpus for training and evaluating open-domain question answering systems, and the first to replicate the end-to-end process in which people find answers to questions. NQ is large, consisting of 300,000 naturally occurring questions, along with human annotated answers from Wikipedia pages, to be used in training QA systems. We have additionally included 16,000 examples where answers (to the same questions) are provided by 5 different annotators,

I am really looking forward to digging into this …good questions and good answers are definitely part of the key for solving some great puzzles ….

have fun …

Plant Intelligence – its true, they do have intelligence.

You can talk to plants and make them happy … yup, and likely they can return the favor! Did you know that Francis Darwin specialized in Plant Physiology … and stirred the pot just like his dad did. Apparently both Charles and Francis were proponents of the idea that plants were intelligent. This is field is just now picking lot of steam! check

Brilliant Green: The Surprising History and Science of Plant Intelligence by Stefano Mancuso

Turns out Francis wasn’t terribly shy … Brilliant Green recounts Francis Darwin’s opening gambit …

on September 2, 1908, at the opening of the annual congress of the British Association for the Advancement of Science, he threw caution to the wind and declared that plants are intelligent beings.

also, take a look at

Trewavas, A. (2014). Plant behaviour and intelligence. OUP Oxford.
van Loon, L. C. (2016). The intelligent behavior of plants. Trends in plant science, 21(4), 286-294.
Marder, M. (2013). Plant-thinking: A philosophy of vegetal life. New York: Columbia University Press.
Trewavas, A. (2016). Intelligence, cognition, and language of green plants. Frontiers in psychology, 7, 588.
Trewavas, A. J., and Baluska, F. (2011). The ubiquity of consciousness, cognition and intelligence in life. EMBO Rep.12, 1221–1225. doi: 10.1038/embor.2011.218
Trewavas, A. (1999). How plants learn. Proceedings of the National Academy of Sciences, 96(8), 4216-4218.
Thaler DS. 1994. The evolution of genetic intelligence. Science264: 1698-1699.√

A lot was motivated by Barb’s Nobel Prize talk – McClintock, B. (1984). The significance of responses of the genome to challenge. Science 226, 792–801. doi: 10.1126/science.15739260

there’s more to this story … check later .

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

Coming up soon – in my book: Regarding Natural, Artificial & Other (?) Intelligences.

One of the main categories of discussion in this book is that of worthwhile tasks for AI. I will devote some time to stating some of the recognized questions, problems, and tasks. I will also mention some notable AI accomplishments and highlight a few of the recognized scholarly achievements. Another topic for discussion is the classification of Intelligences. What is Natural Intelligence? What is Artificial General Intelligence? What is Superintelligence? What about human measures such as IQ? G? What does the AlphaZero algorithm beating the best human players in Chess, Go and Shogi mean? Can the Paperclip Apocalypse really happen?

All these and more … coming soon …