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
the Beyond 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
- 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.
Fascinating insights by Computer Science / Artificial Intelligence profs …
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 …
just announce on the Google AI Blog …/
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 …
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 .
“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
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 …