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G 80% or so of our communication is nonverbal, face expressions, hand and body ges… ytc_UgwtHOuOD… G My question to AI. Can you help humanity remove out of existence sociophatic nar… ytc_Ugz-ENy2I… G The real question is, how on earth does chatGPT know Windows activation codes? D… ytc_Ugz9V9ecd… G Another thing worth adding: Any works with significant AI assist is not protecte… ytc_UgyGfb49D… G I’m interested if they found any difference between AI-biased words that have be… ytc_Ugw2ytYTb… G Don’t you know that all he needs to do is say I love Jesus before he dies and he… rdc_ohzasu9 G No chance give a robot a gun, remember terminator an will smiths AI movies 🫣… ytc_Ugyfi_Te_… G She's a fucking 78 year old democrat. The democrats cannot stop shooting themsel… rdc_oi2v9vh

Comment

The problem with computational algorithms predicting what a biological aggregation of trillions of human neurons in the human mind will do or think is nowhere close to being trustworthy. For example: A man walks into an ice cream store twice a week on Wednesdays and Saturdays and orders an ice cream cone. On Wednesdays he'll order any number of their different 31 flavors, but on Saturday he always orders Rocky Road, as he has done for the past three years since he began doing so. The next upcoming Saturday, what are the chances he will order Rocky Road? An algorithm may make the calculation from the last three years of Saturday purchases that the chances are 99.98% he'll order Rocky Road from historical reference. However, from the perspective of human cognition, the chances of him ordering Rocky Road is 1 in 31 (given the selection of flavors) all the time, every time. The algorithm cannot make the leap of 'assumption' as to why he chooses Rocky Road on all the past Saturdays and on the 'prediction' of whether he will this upcoming Saturday.

youtube AI Surveillance 2020-01-04T20:0… ♥ 2

Coding Result

Dimension	Value
Responsibility	none
Reasoning	unclear
Policy	unclear
Emotion	indifference
Coded at	2026-04-27T06:24:59.937377

Raw LLM Response

[
{"id":"ytc_UgxsQhmJhf-aUgnFU5p4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgyrvG5TVAv-9WO_cqR4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxmhAKcZnlmcPlyHA54AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugwqh6QX3Q1P9Tv4kWd4AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzVlSdN8jp448jYQcN4AaABAg","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzQzmrEKFyxxNX65Wh4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_Ugxjj2ZB5KgM0jC69oh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_Ugx5qUFpuBSvJ2-2gZV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwCgUh2QaG4bCsnsPZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugz6yweQIZlOQutC2n54AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"}
]

Raw LLM Responses