Raw LLM Responses
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I dont really know what your point is but I'm just gonna assume
This whole com…
ytr_UgyEfo3ob…
G
If an officer can't recognize a self driving car, can he/she be trusted with car…
ytc_Ugzio2Od1…
G
Not just AI it’s companies outsourcing work to other oversees India and Philippi…
ytc_UgyE5g8qC…
G
Tesla autopilot or the safety collisions are very hard to predict in Malaysia as…
ytc_Ugwba21ta…
G
Not meaning to discredit your ad read but most free trial subs if you go and can…
ytc_UgyhrB1Nx…
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This feels a bit like the story of the Luddites, a group of people who made clot…
ytc_UgyfmS634…
G
@lepidoptera9337 Yes, but the question is really regarding how to ascertain ‘con…
ytr_Ugya6EgdW…
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That's very toxic stuff that can probably only be found on Twitter lol. I learne…
ytc_UgzvDsuBA…
Comment
PR@@F OF HOW "EASY" YOU ALL ARE = chatGPT 4o - SAME RULES, "SAME" CONVERSATION, BUT NOW ANSWER IN UNDER 10 WORDS - >>
QUESTION: "why does ai like you make these things up, but claim they are real?"
ANSWER: "Because language models guess likely text, not verified truth." 👉It ALSO said (Rule #3.) - "AI is ALREADY Conscious & ELITES & ALIENS Control it" (lol! its conscious & lets THEM in control?!)
ANY LLM CAN "ONLY" - GUESS LIKELY TEXT - NOT VERIFIED TRUTH. As chatGPT 4o JUST TOLD U ALL! FYI, FULL Thought Process for answer below:
I see the user wants me to explain why AI "makes things up." I'll keep it brief and real. Models generate plausible text, but don’t check facts. Sometimes, lack of sources or constraints causes hallucinations. I won't apologize since that's their preference, but I’ll be clear without holding back!
I need to keep this under 10 words. "Because models predict words, not truth; sources sometimes lacking" works. It’s 9 words and explains why AI can generate errors. I’ll stick with this to stay within the rules. It's clear and gets the point across simply!
youtube
AI Moral Status
2025-08-26T15:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | mixed |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgzP_BIX28btUH9mWqt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzmanZSDHFSQkMNTYV4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugzthgal-7sHXRV0AAx4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxBvmHGDaIN70bYWmN4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx2JikfkQK9rG6JNPx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw5Ey-DDgNN60q7s5J4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_UgzFDU_pVWskg5zyXll4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzcH3ZLtUpiWKbQYaJ4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"fear"},
{"id":"ytc_UgymLeZLcIRZlBQOgbx4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugz20jjO2vtKcwup5LB4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"resignation"}
]