^TagAlphaZero

cropped shot of robot playing chess on wooden surface

^{Type
post

Author
Eric Holloway
Date
February 28, 2022

Categorized
Artificial Intelligence, Natural Intelligence

Tagged
AlphaGo, AlphaZero, Artificial Intelligence, chess, DeepMind, Go (game), Google, Lee Sedol, Natural Intelligence}

Is AlphaZero Actually Superior to the Human Mind?

_{Comparing AI and the human mind is completely apples and oranges} _{Eric Holloway

February 28, 2022

3

Artificial Intelligence, Natural Intelligence}

The Google-backed AI company DeepMind made headlines in March 2016 when its AlphaGo game AI engine was able to defeat Lee Sedol, one of the top Go players in the world. DeepMind followed up this great achievement with the AlphaZero engine in 2017, which made the remarkable achievement of soundly beating AlphaGo in Go as well as one of the world’s best chess engines in chess. The interesting difference between AlphaGo and AlphaZero is that AlphaGo uses databases of top human games for learning, while AlphaZero only learns by playing against itself. Using the same AI engine to dominate two different games, while also discarding reliance on human games suggests that DeepMind has found an algorithm that is intrinsically superior Read More ›

Close-up image of coder typing on computer

^{Type
post

Author
Jonathan Bartlett
Date
October 18, 2021

Categorized
Programming

Tagged
ai-limits, Alphabet Inc., AlphaGo, AlphaZero, DeepMind, George Montanez, Google, Machine learning (limitations), No Free Lunch theorems, perpetual motion machines, The Famine of Forte, Turing's Halting Problem, universal algorithm}

The Search for the Universal Algorithm Continues

_{Why does machine learning always seem to be rounding a corner, only to eventually hit a wall?} _{Jonathan Bartlett

October 18, 2021

3

Programming}

DeepMind, a part of Alphabet (i.e., Google), has made many headlines in the past. The biggest was its development of AlphaGo, which used reinforcement learning to beat the number one Go player at the time (2017). DeepMind generalized this into AlphaZero, which is supposedly able to solve any two-player game of perfect information. DeepMind has come back into headlines recently with the attempt to build an AI which can generate any algorithm. While they are starting with map data, the goal is to generalize this and generate any desired algorithm. The search for such a “universal algorithm” has been essentially equivalent to the search for a perpetual motion machine in physics. The allure of both is obvious. In physics, if you Read More ›

^{Type
post

Author
Richard W. Stevens
Date
October 7, 2021

Categorized
Artificial Intelligence, Economics

Tagged
AlphaZero, Artificial Intelligence, Deep Blue, Gaming AI (book), Garry Kasparov, George Gilder, Joshua Sokol, Ludwig von Mises, Tyranny}

Why AI Cannot Successfully Run the Economy

_{Artificial intelligence is insufficient to predict and plan for the vast complexities of an individual human being, let alone an entire country} _{Richard W. Stevens

October 7, 2021

8

Artificial Intelligence, Economics}

Optimists talk about artificial intelligence (AI) as magnificent tools and ultimately a source of world salvation. Pessimists warn that AI can produce the implements of tyranny and ultimately soulless world domination. Many people in both camps take these views without seriously questioning the limits of AI. To challenge the optimists: Can AI run a human society’s economy better than humans? Governments are expanding and taking more power to run everything, and many people accept or even cheer them for doing so. To carry out that mission, such Leviathan governments invariably increase taxes and impose regulations upon economic activity: prices, wages, investments, interest rates, use of private property, transfers of ownership, and permissible or forbidden transactions. Leviathan’s cheerleaders don’t explain how all-powerful governments claiming to run national economies can actually succeed. Read More ›

^{Type
post

Author
News
Date
June 28, 2021

Categorized
Artificial Intelligence, Medicine and Health

Tagged
AlphaGo, AlphaGoZero, AlphaZero, chess, Gary Smith', Go, Jeffry Funk, Joshua Sokol, Pedros Domingos}

Why AI Chess Champs Are Not Taking Over the World

_{Mastery of closed-world games does not mean that AI can take over and run everything} _{News

June 28, 2021

4

Artificial Intelligence, Medicine and Health}

At one time, the AI that beat humans at chess calculated strategies by studying the outcomes of human moves. Then, it turned out, there was a faster way: In October 2017, the DeepMind team published details of a new Go-playing system, AlphaGo Zero, that studied no human games at all. Instead, it started with the game’s rules and played against itself. The first moves it made were completely random. After each game, it folded in new knowledge of what led to a win and what didn’t. At the end of these scrimmages, AlphaGo Zero went head to head with the already superhuman version of AlphaGo that had beaten Lee Sedol. It won 100 games to zero. Joshua Sokol, “Why Artificial Read More ›

^{Type
post

Author
News
Date
July 17, 2019

Categorized
Artificial Intelligence, Natural Intelligence

Tagged
AlphaZero, Daniel Huttenlocher, Eric Holloway, Eric Schmidt, Henry Kissinger, Jonathan Bartlett, Longform}

Henry Kissinger on Why We Must Adapt to AI

_{He thinks chessbot AlphaZero is “no longer constrained by the limits of human knowledge.” But is the story much simpler?} _{News

July 17, 2019

7

Artificial Intelligence, Natural Intelligence}

Walter Bradley Center fellows aren’t really in a position to respond to the demands for "metamorphosis" (total transformation); they could and did, however, respond to specific claims made in the article for winning chessbot AlphaZero.

10. Is AI Really Becoming “Human-like”?

_{AI help, not hype: Here’s #10 of our Top Ten AI hypes, flops, and spins of 2018} _{Robert J. Marks

December 20, 2018

4

Artificial Intelligence, Philosophy of Mind, Technocracy}

A headline from the UK Telegraph reads “DeepMind's AlphaZero now showing human-like intuition in historical 'turning point' for AI” Don't worry if you missed it.