Raw LLM Responses
Inspect the exact model output for any coded comment.
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G
If ai and machines took over every job. We would have to abolish the whole econo…
ytc_UgxawFWlw…
G
AI companies are terrorist organizations owned by certain groups (a specific nat…
ytc_Ugy0mzwfK…
G
1 hour and 10 minutes, his voice changed to complete loss of natural dialectical…
ytc_UgyKCUuPP…
G
With AI "creature" art, we have a big problem ahead, and that is the death of ar…
ytc_UgzQMYQT0…
G
U know what how chat gpt replies
Chatgpt : I think u r asking me Who created me…
ytc_Ugw2k49p2…
G
AI doesn't have any ability to harbor any feelings bad neither what may be worse…
ytc_UgwiaAHeV…
G
Just don`t give them thumbs right? Just playing. Seriously I A I will be better …
ytc_Ugzy099u8…
G
The fact that the story was written by A.I., but we're still being subjected to …
ytc_UgwZdyEE9…
Comment
The thing where they trained GPT-4o on code with vulnerabilities was actually reassuring to Eliezer Yudkowsky.
In order to know what good behavior looks like, the model also needs to know what bad behavior looks like. Insecure code gets punished in the same way as hatespeech, so when you then make the model produce insecure code, the easiest way for the optimizer to achieve that is to simply make the model evil. The reassuring part was that this meant that behavior was tied to values pretty much across the board if changing it in one area can flip its behavior fully, indicating higher robustness to the process of RLHF than previously thought.
It's really not all that surprising. Though I think the implications aren't all that meaningful apart from it being surprisingly easy to mess up parts of a model ones data had absolutely nothing to do with.
Anyhow, it's less "revealing the models true self" than "making the model care about the exact opposite of what it did originally".
youtube
AI Moral Status
2025-12-12T21:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[{"id":"ytc_UgwoPeMsVfJVfD235KZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgzNgiTXKTnsd9KAIXl4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"fear"},
{"id":"ytc_UgwILvn9vSF1VnlIrMl4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwUF9z1CW4NnDWTr5J4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"liability","emotion":"fear"},
{"id":"ytc_UgzUI84MwRB5WxUznB94AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugz6rAfqZWNYf9BjA7h4AaABAg","responsibility":"company","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwT_4ubTRVoQOykPBx4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_UgxSY4WVINPbp-ZQjEF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyC2u9XjF6TYZxJNk14AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"resignation"},
{"id":"ytc_Ugxr1DWydj_B4gaXQmJ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}]