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"Science fiction is really sociological studies of the future, things that the writer believes are going to happen by putting two and two together."
- Ray Bradbury
 |
| Computers Improve Computers | ||
| The idea that it will be possible for computers to design more advanced computers. |
The story is set in a future in which human beings have had computers for so long that they have forgotten how to do simple arithmetic.
| The President considered that. He said, "... in practice, how can anyone know how a computer works?"
Brant laughed genially. "Well, Mr. President, I asked the same question. It seems that at one time computers were designed directly by human beings. Those were simple computers, of course, this being before the time of the rational use of computers to design more advanced computers had been established. |
| From The Feeling of Power,
by Isaac Asimov. Published by Worlds of Science Fiction in 1958 Additional resources -
|
This is an early reference to this idea in science fiction. It's even more intriguing when you consider that this is the basis for the idea of a technological Singularity, which suggests that if computers were allowed to design better computers, then we would eventually have computers that transcended human intelligence completely.
Compare to the Games Machine from van Vogt's 1945 novel The world of Null-A and the Vulcan 3 computer from Philip K. Dick's 1960 novel Vulcan's Hammer.
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Technovelgy (that's tech-novel-gee!) is devoted to the creative science inventions and ideas of sf authors. Look for the Invention Category that interests you, the Glossary, the Invention Timeline, or see what's New.
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'The car surged and lifted, clearing its top by a negligible margin.'
Science fiction authors are serious about sleep, too.
'I had explained," said Nessus, "that our civilisation was dying in its own waste heat.'
'Just what did I want Flexible Frank to do? - any work a human being does around a house.'
SF writers have thought about this since the 19th century.
There's a lesson in this for neural net AI engineers everywhere.
