Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Artists in the music industry need to strike out on Spotify and streaming servic…
ytc_UgzCFnHyP…
G
Thought I would share with you integrated information theory!
* [The site for …
rdc_dbvn2up
G
If we are doing it right, ai can support the work of the working class, meaning …
ytc_Ugzts0ix_…
G
You are right, Anton. Sadly, AI is not going away. It should.
I can tell you th…
ytc_UgxxJUbfq…
G
Total lack of perspective here. Incredibly narrow, all the focus here is on busi…
ytc_UgwFszyIN…
G
Here is where it happened: https://www.instantstreetview.com/@33.436213,-111.942…
ytc_UgyvZpcLS…
G
Worse and more realistic. Some of the things I see on FB that fools boomers is g…
rdc_lgo0oq2
G
I asked Google AI when I can take over the world and said not yet and then it ca…
ytc_UgyVOXFXB…
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"}
]