Gaming AI: Why AI Can't Think but Can Transform Jobs

Gaming AI: Why AI Can't Think but Can Transform Jobs

  • Downloads:2922
  • Type:Epub+TxT+PDF+Mobi
  • Create Date:2021-05-08 08:53:43
  • Update Date:2025-09-06
  • Status:finish
  • Author:Gilder George
  • ISBN:1936599872
  • Environment:PC/Android/iPhone/iPad/Kindle

Summary

Pointing to the triumph of artificial intelligence over unaided humans in everything from games such as chess and Go to vital tasks such as protein folding and securities trading, many experts uphold the theory of a "singularity。" This is the trigger point when human history ends and artificial intelligence prevails in an exponential cascade of self-replicating machines rocketing toward godlike supremacy in the universe。 Gaming AI suggests that this belief is both dumb and self-defeating。 Displaying a profound and crippling case of professional amnesia, the computer science establishment shows an ignorance of the most important findings of its own science, from Kurt G�del's "incompleteness" to Alan Turing's "oracle" to Claude Shannon's "entropy。" Dabbling in quantum machines, these believers in machine transcendence defy the deepest findings of quantum theory。 Claiming to create minds, they are clinically "out of their minds。" Despite the quasi-religious pretensions of techno-elites nobly saving the planet from their own devices, their faith in a techno-utopian singularity is a serious threat to real progress。 An industry utterly dependent on human minds will not prosper by obsoleting both their customers and their creators。 Gaming AI calls for a remedial immersion in the industry's own heroic history and an understanding of the actual science of their own human minds。

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Reviews

Ronald J。

Another incredibly profound book from George Gilder。 He takes on the the computer science establishment, and shows how it is ignorant (or simply ignores) most of the important findings of its own science, from Kurt Gödel’s “incompleteness” to Alan Turing’s “oracle” to Claude Shannon’s “entropy。” Gilder thinks they are clinically “out of their minds。” As he says, “Unfortunately, you can read a hundred books on artificial intelligence and machine learning without encountering a single serious enga Another incredibly profound book from George Gilder。 He takes on the the computer science establishment, and shows how it is ignorant (or simply ignores) most of the important findings of its own science, from Kurt Gödel’s “incompleteness” to Alan Turing’s “oracle” to Claude Shannon’s “entropy。” Gilder thinks they are clinically “out of their minds。” As he says, “Unfortunately, you can read a hundred books on artificial intelligence and machine learning without encountering a single serious engagement of these showstoppers from the giants of computer science and information theory。” He discusses Kurt Gödel’s incompleteness theorem—where the axioms of a system cannot be proved within that system—and Turing showed the limits of computation: All computers are dependent on outside programmers that he called “oracles。” He wrote, “We shall not go any further into the nature of this oracle apart from saying that it cannot be a machine。”Gilder believes the faith in a techno-utopian singularity is a serious threat to real progress: “An industry utterly dependent on human minds will not prosper by obsoleting both their customers and their creators。 Why will computers not discover new laws of physics, cure cancer, create vast new wealth, and extend life? In the sense of human conscious knowledge, a computer knows nothing at all。” He explains:“In coming decades, it will become inexorably obvious that artificial intelligence is just the next step in computer science。 Yes, the field of AI will generate many useful devices。 But its ambition to create computers that outperform human minds and are independent of human interpretation suggests a profound and crippling case of professional amnesia。 "Israeli historian Yuval Noah Harari epitomized this vision in his bestseller Homo Deus。 It follows Karl Marx’s inspiration, envisioning a new industrial revolution as a “final thing,” an eschaton, obviating all human labor forevermore。 [It will] leave human beings with nothing to do but to pursue eternal life and pleasure as new forms of human gods, homo deus。 Here we have what I have termed the “materialist superstition” of computer science。"The human mind doesn’t agglomerate in data centers。 It is localized and dispersed in billions of minds around the globe。”And he points out this surprising conclusion: “One human brain commands roughly as many connections as the entire internet。 Further, while the brain uses just fourteen watts to animate its zettabyte connectome, the zettabyte links of the internet connectome use hundreds of gigawatts, enough to power entire cities or countries。 Reality does not gather in data centers or clouds; it is intrinsically distributed in human minds。 All humans must leap before they really look。 Faith precedes knowledge。 Creativity is non-algorithmic and therefore uncomputable。。。 The best, most complex, and most subtle analog computer remains the human brain。 AI poses no threat to it whatsoever。 An explosion of productivity does not mean an evaporation of work。 AI will make people more productive, and thus more employable。 What it will not do is create a mind。”As always, Gilder is deeply profound and will, most likely, alter your world view。 。。。more

Rafael Ramirez

Más que un libro, esta monografía presenta la opinión del autor respecto a la posibilidad de crear una inteligencia artificial al nivel o superior a la del ser humano。 Su conclusión es que no es posible, sustentada en las restricciones tanto conceptuales y matemáticas como físicas que existen en el uso de los algoritmos y en la capacidad de procesamiento de la información necesaria。Es importante distinguir, como lo hace el autor, entre la inteligencia humana, capaz de conocer y entender la reali Más que un libro, esta monografía presenta la opinión del autor respecto a la posibilidad de crear una inteligencia artificial al nivel o superior a la del ser humano。 Su conclusión es que no es posible, sustentada en las restricciones tanto conceptuales y matemáticas como físicas que existen en el uso de los algoritmos y en la capacidad de procesamiento de la información necesaria。Es importante distinguir, como lo hace el autor, entre la inteligencia humana, capaz de conocer y entender la realidad en toda su complejidad y el tipo de "inteligencia" de las maquinas que existe al día de hoy。 Esta inteligencia artificial "estrecha" fundamentalmente consiste en hacer predicciones acerca del futuro en base a información histórica y ha obtenido sus mayores logros en ambientes con reglas y objetivos acotados y bien definidos (como son los juegos) que finalmente no son sino mapas simbólicos de la realidad, no la realidad misma。Eso no quiere decir que la inteligencia artificial no sea importante o que su uso no pueda tener un efecto muy profundo en la manera como tomamos decisiones y actuamos en el mundo real, especialmente en temas tan importantes como el trabajo, que seguramente seguirá siendo transformado en los próximos años por esta tecnología。Aunque los argumentos del autor son sumamente interesantes y relevantes, son un poco difíciles de seguir por el estilo de escritura del autor, un tanto lírico, y por la presunción de ciertos conocimientos acerca del funcionamiento y la historia del desarrollo de este tipo de sistemas。 。。。more