Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
I feel like saying being creative and teaching AI to make art and songs is “easi…
rdc_lguo1hp
G
AI: “What is my purpose?”
Me: “You read Reddit comments.”
AI: “Oh my God.” …
rdc_kra4ev6
G
Using this method I got chatGPT to an agree that the world elite are growing gia…
ytc_UgxJJiYQs…
G
I agree those roles seem safe now. The challenge is we are in a system where a f…
ytr_Ugzo5aesP…
G
Yeah well..
When a youtuber tries to create a new content, The other youtubers …
ytc_Ugz88Tp3t…
G
"AI creators deserve protection, not punishment"
That's all I need to know that…
ytc_Ugz4PCdL4…
G
@willybadonkatonka8465 How precisely do cogs benefit from AI in capitalism? Do y…
ytr_Ugw9FhNpY…
G
I don't want to see people die just to provide another data point as an input to…
ytc_UgygOgEYm…
Comment
@dvklaveren I don't think you can really say any of these contain information beyond the fact they take up space on your hard drive. It's not a database. It's just the weights of a neural network. It's like taking a copy of how strongly the various neurons in a person's brain are connected. Use those weights on a generic neural network with the same structure and you'd have a copy of that person. Except this is a much simpler network, where all the weights only total a few gigabytes.
The embeddings you can train are comparatively tiny, only taking up a matter of kilobytes, because they're all in reference to one of these multi-gigabyte models (though they can often be used with other similar ones). They're kind of like the "I know kung fu" thing in The Matrix, but for these simpler neural networks. I think loading them in just tweaks the weights a little, so it has a better idea of what you're asking for.
youtube
2023-02-19T05:4…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_Ugx0Zb_0ywWCPiDPu954AaABAg.9t5IPy24ctr9t76QXU5l10","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugz8-pjfTYPFziz5JY14AaABAg.9lqaFTPDt1bA9exeuqK-QT","responsibility":"user","reasoning":"deontological","policy":"industry_self","emotion":"approval"},
{"id":"ytr_UgwVZCTNdNrumQMjxnt4AaABAg.A544bC2cjTeAA77mAIvFwE","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwVZCTNdNrumQMjxnt4AaABAg.A544bC2cjTeAGGKAfKdHQY","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytr_Ugx3u_o-zbhQvaeTCr94AaABAg.A015lTbAnOtA016m-f3KWk","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgxQtMRjKaM20WYnqRp4AaABAg.9m9dqEKnjrk9m9eHrsS3PN","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"resignation"},
{"id":"ytr_Ugw7scxMLD-Y0eNM4PN4AaABAg.9m80VEP7mtFADKyJQNUlGY","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytr_UgwfHIDTB1zW2uiAlHd4AaABAg.9lzb9jyCwv29mGe_YMyt22","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwfHIDTB1zW2uiAlHd4AaABAg.9lzb9jyCwv29mInIfKLuEe","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgyCFuUsvJq4uOJSCRl4AaABAg.9lv4Y6LiA-R9lvLtYxqPN1","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"}
]