Computer science recycles key philosophical terms with similar but different meanings. This causes systematic patterns of confusion for CS people thinking about philosophy.https://twitter.com/everytstudies/status/1042660178796142592 …
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“Representation” and “reference” are other major trouble sources. In CS, each is a relationship between perfectly crisp software things; elsewhere, at least one end of the relationship is nebulous, in the world.
BCS discusses in this:https://www.youtube.com/watch?v=USF1H70bRl0&frags=pl%2Cwn …3 replies 2 retweets 25 likesShow this thread -
Mathematical logic was invented to eliminate all nebulosity; it conclusively failed. But computers are logic made flesh; as a consolation prize, we got the whole contemporary world out of logicism’s failure.
Gregory Chaitin’s delightful explanation: http://arxiv.org/html/nlin/0004007 …3 replies 13 retweets 44 likesShow this thread -
Hardcore rationalism makes natural sense to people with computer science backgrounds. What would the world have to be like for rationalism to be true of it? It would need to conform perfectly to some set of rules—as software does, and practically nothing else can.3 replies 8 retweets 22 likesShow this thread -
Given how utterly unlike reality logic is, it’s astonishing that we were able to build devices that conform to it so precisely. But, for many decades, we did devote most of the time of the smartest people in the world, plus trillions of dollars, to the effort.7 replies 5 retweets 46 likesShow this thread -
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Replying to @Meaningness @everytstudies
It seems that lossy compression algorithms are a kind of re-creation of the "usual" type of abstraction inside the unusual, precise kind of abstraction.
1 reply 0 retweets 1 like
The BCS talk says the first thing you do after implementing digitality is to implement non-digitality on top of it :)
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