Raw LLM Responses
Inspect the exact model output for any coded comment.
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Random samples — click to inspect
G
Can't believe so many people have fell for Elon BS again. Boston Dynamics are 5 …
ytc_UgwCpsVrL…
G
@Eisenbison „It's not conceivably possible to get rid of the open source softwar…
ytr_Ugw98SrcH…
G
AI grok got suspended an reprogrammed because it said what’s happening in Gaza i…
ytc_UgzIXE9YZ…
G
the story is they want to be famouse but end up also get replaced by AI womp wom…
ytc_Ugwn6z8Mc…
G
Disruption to elitist monopoly on entertainment is always welcomed if Hollywood …
ytc_Ugxmh9Paz…
G
Hopefully AI will do all the work in the future. Then all people can live like …
ytc_UgxVpUn1Z…
G
Facial recognition is a useful tool, but this is outside its scope. Every machin…
ytr_Ugz_jVhKT…
G
Well start going public with your creations. Otherwise you will be stucked no m…
ytr_UgwgWzK45…
Comment
This is not how LLMs work. They construct responses by predicting the most probable next word in a sequence, one token at a time. This process is based on statistical patterns learned from vast amounts of training data, not human-like understanding. The specific word is selected using decoding strategies that interpret the model's probability distribution over its vocabulary. It is not "thinking", just predicting the next word in a sequence. During training, the model analyzes relationships within this data—such as how words typically appear together in context—and uses that understanding to predict the next most likely word when generating a response, one word at a time
youtube
AI Harm Incident
2025-09-11T14:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgzLXq27qfxEo4ZbGdF4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxXS8pXVsZrBByBlgR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwQQlUVxmOjLUpknrN4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgxApgcM2b96LJ-BBhB4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgzQJS8_2OmLGOZijQl4AaABAg","responsibility":"user","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgzagsyZaKUS66iwQXB4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_UgxnryVMeqVS5W81F2d4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugzzk1xlZy9b5d78vuF4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugz7danUOFL9GATByKV4AaABAg","responsibility":"developer","reasoning":"mixed","policy":"regulate","emotion":"mixed"},
{"id":"ytc_Ugy0ZefBS7Z9cq9lplR4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"outrage"}
]