Raw LLM Responses
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G
That's what the cameras are for. The workers were hitting bonuses that were mea…
ytr_UgwObxMrf…
G
😂 "some people might misunderstand" Yes some people definitely misunderstood. Oh…
ytc_UgysYwYMr…
G
Okay, Sam. I had a 3 paragraph comment that I was about to post here, and I wro…
ytc_UgwVQr1Iu…
G
Si des pleuple en besoins de savoir leur vie des commetaire mauvaises dira une d…
ytc_Ugx7_K8Pj…
G
Who get to decide to screw my world? Don't these guys need to ask for permission…
ytc_Ugwju4YdZ…
G
This used to be true in the days of AI Will Smith eating spaghetti, but it's got…
ytr_Ugw7lejwL…
G
I've been playing with AI for some time and it's 50/50. Sometimes it's correct, …
ytc_UgxGIg3IZ…
G
It's sad to see someone like this loose connection with reality and just riff on…
ytc_UgzvNtFgJ…
Comment
Hint: 1) AI has terminal weaknesses, which nobody talks about. 2) Most corporate managers aren't AI literate, but are swallowing the hype, whole. 3) AI shows tremendous short term gains, but its weaknesses are likely to show up on the back end, after the Engineering staff has been slashed. Okay. Weaknesses. 1) Unlike Machine Learning, Deep Learning algorithms are OPAQUE. That means, when subtle problems start showing up later, they are going to be a BEAR to fix. IF they can be fixed at all. 2) Training algorithms used training sets created by an Engineering / Technical culture that did not have AI. AI is going to hit a wall down the road, when the human culture that created the sources for those training sets, disappears. And it will, because Billionaires are both greedy and foolish (generally speaking). 3) AI isn't actually intelligent. Unless you call ripping off other people's work, intelligent.
youtube
2025-08-14T19:4…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | fear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgwOaYclmw6hzZ9aic54AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwImB_UQIWaT7aUieN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugz5XKlvRBxYvjBbOKl4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_Ugyf83Zqk0RZXi6jazR4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzbDaqE3pquBYHMa7B4AaABAg","responsibility":"user","reasoning":"virtue","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgxP7z-Nvn2yWQJ0lGN4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgxOkCaNsg8y2fhyyx94AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"indifference"},
{"id":"ytc_UgwIuOVCDESs38qQz2R4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxQmh8pi6kudxygF-Z4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxdw08m8QRVwcMB8dB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]