The Emperor's New Mind

Concerning Computers, Minds, and the Laws of Physics

De: Roger Penrose

Narrado por: Julian Elfer

Duración: 18 h y 27 m

Resumen del Editor

For decades, proponents of artificial intelligence have argued that computers will soon be doing everything that a human mind can do. Admittedly, computers now play chess at the grandmaster level, but do they understand the game as we do? Can a computer eventually do everything a human mind can do?

In this absorbing and frequently contentious book, Roger Penrose puts forward his view that there are some facets of human thinking that can never be emulated by a machine. The book's central concern is what philosophers call the "mind-body problem". Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness. He is among a growing number of physicists who think Einstein wasn't being stubborn when he said his "little finger" told him that quantum mechanics is incomplete, and he concludes that laws even deeper than quantum mechanics are essential for the operation of a mind. To support this contention, Penrose takes the listener on a dazzling tour that covers such topics as complex numbers, Turing machines, complexity theory, quantum mechanics, formal systems, Godel undecidability, phase spaces, Hilbert spaces, black holes, white holes, Hawking radiation, entropy, quasicrystals, and the structure of the brain.

©1989 Oxford University Press; Preface copyright 1999, 2016 by Roger Penrose (P)2019 Tantor

This is great news. Good Job Nobel Prize Winner!

It would appear that Nassim Haramein with Walter Russell's work compounded and the fact that Walter has just received the Nobel Prize. I am exited to read Nassims new paper he is about to release on the compounding effects with the Iching and the ability of the biorhythms of humanity....

Not appropriate for an audio format.

This book is filled with illustrations and equations. The illustrations are of course just skipped over but so are sections of text that refer to the illustrations. This means that sometimes the audio will be describing some concept and will suddenly skip to another concept abruptly. The audio tries to read the equations but, not being simple equation and using Greek letters and symbols more common to advanced physics, the equations often turn into a garbled mess. I ended up getting a hard copy of the book in order to follow what was going on.

Good but Dated and Not Great on Audible

The first few chapters of this book would be very difficult in just audible unless you are already very familiar with Turing Machines and the Mandelbrot Set. Unfortunately there is no PDF to go along with the book. Some images can be seen on Google Books and, of course, in paper or kindle.

The rest of the book suggests that human intelligence is non-computable and AI will be unable to produce machines that feel and intuit. Some of these ideas have become dated some are interesting but I did not find any deeply compelling.

Nevertheless this book is has a lot of interesting information and ideas and was well worth the listen, but I would not strongly recommend the Audible version.

The narration was very good considering the very difficult material.

Get the Printed Book

I purchased this without thinking. Have had the printed book for many years and thought it would be nice to listen to again. The reader is actually very talented but the content does not lend itself to audio. Like listening to your calculus and analytic geometry text. It is actually faster to read the text. I found myself giggling as the reader read zeros and ones and whatever. Who could follow that. Another option might be to listen while you read. The content of this book is absolutely marvelous and the point that intelligence is more than computation is something that we need to pay attention to. Penrose is a genius. A newer book making many of the same points is The Myth of Artificial Intelligence by Erik Larson. Larson's book is engaging and good for listening.

Not read like the math it is.

Early on, Penrose delves into very specific Turing machine codes, which the narrator gamely reads aloud as long minutes of zeroes, ones and other primitive tokens which are opaque in spoken form. Lamentably, the medium does not do justice to the message.
Worse, instead of reading (say) “f(x)” as“f of x,” it’s rendered as “f open parenthesis x close parenthesis,” suggesting the erudite-sounding reader missed out on math, or apprenticed as a typesetter.
This review may be premature— maybe skimming ahead to the material on psychophysics will justify my time with this book as a prelude to “Shadows of Mind” and later work.

Great work, but support material is badly needed!

It would be essential to have an attached pdf, or other document with the relevant equations, to make it possible to understand the content even for a mortal soul without an extraordinardinary attention span.

Hard start.

The 1st third was difficult to follow, but all in all it was fantastic informative story.

Historical but Tedious

The book's value is that, after his torturously detailed coverage of 1980's tape-drive technology programming for mathematicians, you come away realizing that the mathematical algorithm approach to creating artificial intelligence may not be the way to go, that it needs to be more language-based so it can ask questions (though words may be defined spatially and by forces, which brings us back to numbers and algorithms, but with clearer guidance)...

This is an eyeball read

Great book but not well suited for experiencing as an audiobook. Several sections were very equation/calculation/number heavy and I found it painful to listen to physics notation fully enunciated over and over ie. “open bracket vertical bar A close bracket right arrow...”

Equations don't work in audio

One of the most important books in philosophy of science. But long sections of equations and mathematical examples that work in print because they are chart-like but not in audio. Some parts are a half hour of math jibberish (and I understood most of the math in print). Still, most is not math and the philosophy translates perfectly.