Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Bro actually thinks Character ai is the most freakiest, Lol. Bro hasnt seen noth…
ytc_UgwWX2MfA…
G
Pencil is when you cook your own meal by yourself.
Ipad is when you use some too…
ytc_Ugz9HEb0I…
G
That's a funny take on the situation! It does seem like Sophia's wisdom and insi…
ytr_Ugx_eMjbp…
G
Please do not fall for the chatbot hype. There is no evidence for many of the in…
ytc_Ugy5KF7Lb…
G
@Dirty_Davos If you don't like AI art, don't use it. But if you want to prevent…
ytr_Ugw26FkrL…
G
Honestly id agree the importance of art is the artist that put effort into it an…
ytc_UgwY73LVk…
G
so you could deploy a light open-source model.
it would not be as good as open…
ytc_UgxGu_wBl…
G
Waymo panicking about the launch of Tesla robotaxi and paid to claim it’s imitat…
ytc_UgzIpKVeo…
Comment
LLMs are an elaborate function (by definition, this is what multi-layer NNs are defined as) that indicates the probability of every possible token for the next token, based on all the previous tokens, against _what a human would type next._ Emphasis is doubly important.
ChatGPT randomly selects from the most probable tokens (with the more probable having a higher chance of being selected), and does some fancy stuff to reduce computation.
It also does something called RAG with all your past conversations. This is like doing a text search, but you are searching for the "meaning" of something instead of an exact match.
youtube
AI Moral Status
2025-10-31T00:4…
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_UgxXDK--xXx_kNvlEzl4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},{"id":"ytc_UgyChYyy3Fz8Y68M_ud4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},{"id":"ytc_UgyvGJYO5jGvo2-dAY54AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},{"id":"ytc_UgxuDKBMryAPDGrr4D94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},{"id":"ytc_UgyXQp6qm3_NRR0lp594AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"approval"},{"id":"ytc_Ugz3ZyrJu8nrGKpDtXt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},{"id":"ytc_UgytIZfpitxs4K3_qLF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},{"id":"ytc_UgyqRUCFN9FkzbE0UBx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},{"id":"ytc_UgzpPDVq_RQolwvSmaR4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},{"id":"ytc_UgzWbMrNIVHbm1hhwGB4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"industry_self","emotion":"mixed"}]