## New highlights added August 7, 2023 at 7:57 AM - But Deaf people have been *treated* like animals (or worse) in many times and places, because hearing and speaking people assumed they were unintelligent ([View Highlight](https://read.readwise.io/read/01h764r3tf0hha4x75v5zcp4q2)) - Note: [[Disability]] [[Deafness]] - For the first time in history, we’re watching the rapid, massive, and egregious failure of this underlying heuristic affect all of human society. ([View Highlight](https://read.readwise.io/read/01h764ryhmzxce5k64pqs6ksnj)) - Note: Wild times... - anyone who struggles with the culturally typical form of language is seen as simple-minded at best and sub-human at worst. ([View Highlight](https://read.readwise.io/read/01h764sbhxns1zp4jsm73hqhjz)) - in the misnamed field of “artificial intelligence” ([View Highlight](https://read.readwise.io/read/01h77xk0fzmwz6h1a983a9m81b)) - Note: It's not misnamed per se as its name is misleading and it is hard to ascribe a precise definition to what it is. But overall I've come to accept that [[Seymour Papert]]'s definition actually reflects pretty well what the field as a whole tries to do: make programs that do tasks that we thought required human intelligence to do, or rather, that when executed by a human would signify intelligence. I think calling it applied statistics is wrong, because there is more to it than statistics, even the core part of our current models are (some reasonably simple) application of statistics. But if you look just a tiny bit further, you quickly encounter logic, techniques from psychology, symbolic programming and in general all kinds of techniques from [[computer science]].