Welcome to Bookmarker!

This is a personal project by @dellsystem. I built this to help me retain information from the books I'm reading. Currently can only be used by a single user (myself), but I plan to extend it to support multiple users eventually.

Source code on GitHub (MIT license).

132

Intelligence

by Andrew Goffey

(missing author)

1
terms
2
notes

on artificial intelligence. Turing tests, Deleuze and Guattari (A Thousand Plateaus again), Friedrich Kittler comparing computers to the Lacanian unconscious

? (2008). Intelligence. In Fuller, M. (ed) Software Studies: A Lexicon. MIT Press, pp. 132-142

134

[...] it is entirely debatable whether framing the issue of machine intelligence in the mirror of the human will allow us to understand what the real problem is. That machines can replace humans tells us nothing special about intelligence, particularly if this is as part of an economy that, in its entropic repetition of the eternally self-same, generally produces stupidity rather than intelligence. [...]

—p.134 missing author 1 year, 6 months ago

[...] it is entirely debatable whether framing the issue of machine intelligence in the mirror of the human will allow us to understand what the real problem is. That machines can replace humans tells us nothing special about intelligence, particularly if this is as part of an economy that, in its entropic repetition of the eternally self-same, generally produces stupidity rather than intelligence. [...]

—p.134 missing author 1 year, 6 months ago

(adjective) repellent irritating

135

the idea of an alien, machinic intelligence not only rebarbative but contradictory

—p.135 missing author
unknown
1 year, 6 months ago

the idea of an alien, machinic intelligence not only rebarbative but contradictory

—p.135 missing author
unknown
1 year, 6 months ago
139

[...] One trains a neural network on specific, finite datasets. The ability to pattern-match more generally presupposes the existence of redundancy in the data and thus self-similarity. So, one could argue that the ability to discern redundancy in data is the ability to learn about how things imitate or repeat themselves (like the data-mining software that tells us which books we want to buy).

—p.139 missing author 1 year, 6 months ago

[...] One trains a neural network on specific, finite datasets. The ability to pattern-match more generally presupposes the existence of redundancy in the data and thus self-similarity. So, one could argue that the ability to discern redundancy in data is the ability to learn about how things imitate or repeat themselves (like the data-mining software that tells us which books we want to buy).

—p.139 missing author 1 year, 6 months ago