Raw LLM Responses
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G
Its called evolution for christ sake.
For those who want to stay in the cave giv…
ytc_UgyIW6354…
G
The main reasons why you "broke" ChatGPT:
1. The training process is fuzzy: mac…
ytc_UgyWSO0Qw…
G
A lot of languages, frameworks and libraries have pretty solid documentation. Th…
ytr_UgwYILdsR…
G
The problem is that every new factory will be staffed by robots. And most new bu…
ytc_Ugy8Y_jnI…
G
@pg8605 I can only conclude that either;
1. extremely simple and probably didnt …
ytr_UgyZrX2pE…
G
Good lord it’s finally happening.. the full black face mask is horrifying. I’ll …
ytc_Ugwz842tM…
G
That’s pretty lazy tbh, and you’re supporting the downfall of other artists in d…
ytr_UgzEXG8T6…
G
One of the parameters in that COMPAS algorithm is basically the skin tone chart …
ytc_UgyirsjZK…
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"}
]