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A batch of the best highlights from what J's read, .
So at first the data reflects existing sociality, but soon datafication begins to change social behavior to correspond with how it is being quantified. Becoming data comes to seem like the primary means of social participation, if not the point of it (as though the point of sociality was to “get likes,” etc.).
Fake Totalities
Rob Horning
Some of our favorites include “mathy maths”, “a racist pile of linear algebra”, “stochastic parrots”16 (referring to large language models specifically), or Systematic Approaches to Learning Algorithms and Machine Inferences (aka SALAMI17).
The AI Con
Emily M. Bender and Alex Hanna
Once you have reduced the concept of human intelligence to *what the markets will pay for*, then suddenly, all it takes to build an intelligent machine — even a superhuman one — is to make something that generates economically valuable outputs at a rate and average quality that exceeds your own economic output. Anything else is irrelevant.
The Danger of Superhuman AI Is Not What You Think
Shannon Vallor
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