Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Personally am not a fan of AI shoving useless bs down your throat. Isn’t the hum…
ytc_UgwaznNIx…
G
@Gay_Furry_No.97285 The current situation with Dreambooth deepfaking is that any…
ytr_Ugwcu0vqN…
G
I recall reading a story about similar themes of which 99.99% of the population …
ytc_UgzWoGovA…
G
Wow! Her face looks so real, and then they peel it away to reveal nothingness.
I…
ytc_Ugws8BrcM…
G
Katz is well known in Israel as a fairly hardline member of Netanyahu’s cabinet.…
rdc_ohwgn4b
G
AI cannot scan your thoughts. There is no interface between the organic mind and…
ytr_Ugw926Ggk…
G
Claude has already replaced ChatGPT as #1 on the Apple Top Apps list (and Gemini…
rdc_o857sia
G
So AI spending (data center builds, etc) is 40% of the US's economy. And now you…
ytc_UgzLWrRuH…
Comment
@8:38 "the Gentlemen said "an AI Can do it in 1/10 the time". That isn't True From My Perspective. I run Local LLM's and have tied those LLM's to Various other functions. I can believe the video Processing taking time, but depending on the Model and Hardware It could be Thousands of times Faster Than a Human if slightly less accurate, Providing key preliminary Data with more specialized specifics Coming in on More Thorough Models Would Enable the fastest scenario for obvious key targets. The Speed in relation to Human time really All Depends on How Many Parameters, How Big Are the Weights, What is the Hardware. You can Run an 8Billion Parameter Model on a Cell Phone, and It completes the tasks ok but you put an 8Bmodel in a server farm and Ya it's More like Thousands Depending on The Specific Task at Hand. Go Play with Ollama or huggingface and AnythingLLM for several Hours and you will know I am Right.
youtube
2025-03-09T17:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgyXLA5n1o2I4QGlV2p4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxgVEGQO_lqfSby1mZ4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugz--PtGEx_E8bp_vId4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzGHgbQYR6aOeILiLt4AaABAg","responsibility":"company","reasoning":"virtue","policy":"unclear","emotion":"resignation"},
{"id":"ytc_Ugz9dfz2Mg5pRctBTCx4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgyoaCeHBkfvo4M4bbd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwVfGnRoFjdnDAVnbZ4AaABAg","responsibility":"government","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugwf16lFrpLG5KuS52p4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgykRESyJNTMaaYGkB94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxGAedXF_CZH7WS_FF4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"liability","emotion":"unclear"}
]