Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
While most companies are looking at AI as a way to reduce the workforce to do th…
ytc_UgznQe2E-…
G
@billdautreve9277 Hey, sorry, I just want to clarify: you are saying that BLM sp…
ytr_UgynzPLx9…
G
13:10 Slight correction, the chatbot model doesn't change every day. What it doe…
ytc_UgwavInkJ…
G
That’s the case today, but as we’re currently seeing it WILL CHANGE RAPIDLY.
It …
rdc_o7e8l6y
G
According to OpenAI's charter, its founding mission is "to ensure that artificia…
ytr_Ugx-j3UQy…
G
I dont like nor use a.i.! It looks like YouTube will soon be added to my long li…
ytc_UgxkuJi2O…
G
I order food, does that make me a chef? NO, same goes to "ai artists"…
ytc_UgyDI47hA…
G
He seems so intelligent, but to me it seems to be an inevitable thing that AI wi…
ytc_UgytLuyrb…
Comment
@zyebormit is significantly different. One major thing is that it is multiple independent neural nets ran in parallel, each predicting the next token. That ‚forward only‘ nature of the nets makes it impossible to be able to obtain any self reflection capabilities. Even the ability to follow step-by-step rules is completely missing. To cite Sabines example: in all the data they get fed, there are many explanations on how multiplication works, yet if ask they guess the answer and are incapable of following the step-by-step rules on how to multiply. They can explain it to you, but not follow.
This might be very different for other AI models, but what we currently call LLM will never achieve sentience or even high intelligence. They are very ver good at intuition - probably better than any human - but any rigor is lacking.
Those thinking models that talk to themselves are a crutch to overcome some of those limitations, but they cannot change the fundamental issue.
Don’t get me wrong, it will be tackled some day, and we will have to reevaluate, today is not that day though.
youtube
AI Moral Status
2025-07-09T16:3…
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | deontological |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_UgwKKu3A-S19lshkH_R4AaABAg.AKMapO-PJMIAKMlhwYqUqC","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytr_UgwxrUq2ysqKHnFOlNp4AaABAg.AKMaZZjcyjrAKMuWtCZjmM","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwWk14uFrH-gmrTB414AaABAg.AKMaOJ0ZNIZAKMjvCVXzLV","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytr_UgzLn1T_sgmZZZ6vFoF4AaABAg.AKMaDfWaWHXAKMckSFyKSx","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgyQOR3MCDE6LSXenX14AaABAg.AKMa5YvaWg5AKMgdoC5d2s","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwnKxStmHYi256aull4AaABAg.AKM_fxMxHg1AKMaYbzSnYJ","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgwnKxStmHYi256aull4AaABAg.AKM_fxMxHg1AKMfRRp_LQz","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgwnKxStmHYi256aull4AaABAg.AKM_fxMxHg1AKMi24epIcp","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwnKxStmHYi256aull4AaABAg.AKM_fxMxHg1AKMlsN94hJN","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgwnKxStmHYi256aull4AaABAg.AKM_fxMxHg1AKMo2FcJ4IT","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"}
]