Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
A self driving truck can't do a VI there aren't censors on ball joints and a few…
ytc_UgxypTIRh…
G
This is propaganda. I had a Chromebook in high school and middle school. Yes, …
ytc_Ugw96V2Iv…
G
Half the population isn’t ready for AI, and the other half seems to just ignore …
ytc_UgyVaCIpG…
G
I feel bad for her. He must have been more shy around girls cause he may have wa…
ytc_UgynI8K11…
G
Just draw better and pray to get a commission, no one is stopping open-source AI…
ytr_UgwLbSumZ…
G
Isn't it possible to watermark your work? Can the embedded watermark survive bei…
ytc_UgxOb4JCO…
G
If you dumb enough to get into a self driving car… then you must know you on you…
ytc_Ugz-RLYmG…
G
when you realize that AI is more “alive” then say a tree is that when you will g…
ytc_Ugzd_dios…
Comment
This is such a mistake about AI, it doesn't take the average, it takes your input, and then it runs it through cascading probability tables. These cascading probability tables attempt to come up with the best result at each level, so it becomes more like a decernment table. were it selects and rejects previous conclusions until it comes to the best fit it can to produce the closest to the most relevant single elements in the training data.
This means that with a carefully developed prompt with proper instructions and a large enough token base you will get good code. A great example is to add instruction prompts at the start that define what good code is before requesting it to develop code. This will get you marginally better results because in this case, it might target a training sample that was provided from a text book (as the text book might have used words or phrases that described good code)
youtube
AI Jobs
2024-07-06T05:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgzRjMtjPvCyJ3bh-5V4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzqDDAYiOOGTMPPNKB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxJaLZR3BzBG65I-Kh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxK5tzu3S_UgpRzD0p4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugyw_9JoiD_V7BqNtfJ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugz-52TgPxidp_O5G6N4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugz0DB-T_LchQL-hhn54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyH7Fr0Ws1XGsnEbSZ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzzKn-Op2CxL92Cwyp4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgwvmFRUm6nZjVkweQB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}
]