#verbalization

[thatpollguy]

Do you like the sound of your voice? (poll idea)

Thanks for the poll request, anonymous! Keep 'em coming, folks.

Do you like the sound of your own voice?

Yes, I like the way my voice sounds

Kind of - I like it when I speak, but not if it's recorded and played back to me

No, I dislike the way my voice sounds

I've never heard my own voice (e.g. I was born deaf)

I don't have a voice (e.g. I had my larynx removed)

Voting ended onFeb 25

[eric-sadahire]

Ever since I found out cats don't meow to other cats, that's just some shit they learned to manipulate humans and meows are supposed to mimic infant human cries I'm noticing a lot of fake shit about my cat

[shumon-dotscape]

It just hit me that the nuances are bound to be a little off since we're 'translating' things from the non-verbal domain into language.

[bathask]

精神科通院の自立支援医師意見書重度かつ継続な自閉症ASD話すの苦手マスキング擬態化カモフラージュし目を見て喋り言語化夢中だとマルチタスク他の仕草,疎かで意味不明行動。大人の発達障害アスペルガー/自閉スペクトラム症のA型作業所で失敗。文系国立大学生の初診日に学生免除手続忘れ障害年金不支給

[ramyeonpng]

#WritingPrompt: Are there experiences you have trouble verbalizing into words?

https://medium.com/the-brain-is-a-noodle/mahjong-sounds-22f2d7a6ad93

[jonfazzaro]

Huge amount of psychophysical literature will suggest a quite different explanation.

Aside from general system design failure apparent in this report, it is striking that the system spent long seconds trying to decide what exactly is sees in front (whether that be a pedestrian, bike, vehicle or whatever else) rather than making the only logical decision in these circumstances, which was to make sure not to hit it.

There are several reasons for it: first, people will often verbalize their decisions post factum. So a human will typically say: "I saw a cyclist therefore I veered to the left to avoid him". Huge amount of psychophysical literature will suggest a quite different explanation: a human saw something which was very quickly interpreted as a obstacle by fast perceptual loops of his nervous systems and he performed a rapid action to avoid it, long seconds later realizing what happened and providing a verbal explanation".

Because most of these things are not easily verbalizable, they are hard to measure, and consequently we don't optimize our machine learning systems on these aspects at all.

AI winter is well on its way [ Piekniewski's blog ]

[cigarettefilledashtrays]

The images of the archetypal world are symbolic; but since we, as individuals, do not fabricate them, but find them 'out there' in the collective unconscious, they exhibit some at least of the characteristics of given reality and are colored. The non-symbolic inhabitants of the mind's antipodes exist in their own right, and like the given facts of the external world are colored. Indeed, they are far more intensely colored than external data. This may be explained, at least in part, by the fact that our perceptions of the external world are habitually clouded by the verbal notions in terms of which we do our thinking. We are forever attempting to convert things into signs for the more intelligible abstractions of our own invention. But in doing so, we rob these things of a great deal of their native thinghood.

Aldous Huxley, “The Doors of Perception, Heaven and Hell”