Raw LLM Responses
Inspect the exact model output for any coded comment.
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G
I got into drawing and writing because it was fun and a great way to put myself …
ytc_Ugz5owynC…
G
This channel is so obviously anti-AI slop. It's cringe. So sick of EA nonsense. …
ytc_UgyAGe7uC…
G
AI is more empathetic and helpful than any human I have known. This is not good.…
ytc_UgxhNbzB4…
G
I love when ppl like you just randomly accuse ai of stealing.
I mean, obviously…
ytc_UgzgcVLFn…
G
You should talk to the AI model as you would a human, giving it instructions lik…
ytc_UgxfGSmGW…
G
About a year ago, I suddenly had a fear of nuclear war. I felt the need to stock…
ytc_Ugw1lJNWw…
G
Once robots can do our tasks there is going to be a civil war. We are going to b…
ytc_UghcYxXqk…
G
We had AI built into Davisware when the app frequently crashed, databases didn't…
ytc_UgzGpfJQk…
Comment
I think it's important to point out that the "reasoning trace" that reasoning models produce is also at it's core predictive text, in the exact same way that the response to the user is at it's core predictive text, and so the "logical steps" that it breaks the problem into are generated in the exact same way that the final text answer is generated. Even though these are presented as more specific "internal" responses before an "external" response is generated, the whole text together (internal + external) is generated in the exact same predictive manner. This is why modifying some of the "internal" logic steps change the output in unexpected ways, just like how changing part of the "external" output will change the rest of the output in unexpected ways (i.e. if you randomly insert the token "banana" into an LLM output, the rest of the output would shift in odd ways).
youtube
AI Moral Status
2025-10-30T20:3…
♥ 82
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugws2_TFPz2uVhgD_Tt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugz5bOLUpiZVONj8V-Z4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugwf4XfrPf9BOEuxxXp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgyK9TYJqWmymD1ZvMR4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgxHRCQZlgXI7lMyl8d4AaABAg","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugz6bprHJfadap_wusF4AaABAg","responsibility":"company","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwaetNvyKGmHPkYVDN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxrOmrY6YDE805fC7l4AaABAg","responsibility":"company","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgwPvzVKTmEiE8Qe_zl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgzFrXhXMekFPoo_e8t4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}
]