Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
I think a lot of companies are lying about how effective AI has been at improvin…
ytc_UgyavnKsH…
G
government should start the regulating the AI otherwise, job expectations and un…
ytc_UgzfuhHF5…
G
📣Become a Mission Partner!
Want to meaningfully help the show’s mission (raise a…
ytc_Ugy4UJB48…
G
All 8 billion people in this awful world must hear the most valid crashout in th…
ytc_UgwCE2XFk…
G
If AI makes mistakes, hallucinations, and is not accurate, why use it in the fir…
ytc_UgxzpefQ5…
G
Hi there. Could you please give me some clarity.
The example is, i use ChatGPT,…
ytc_Ugx7aSjF1…
G
I think the major difference between how visual artists and musicians are treate…
ytc_Ugx9kXMIl…
G
Just having a place where white American kids can go and thrive without the jewi…
ytc_UgyTnoibZ…
Comment
Most general-purpose LLMs are bad by default. They mirror the data they’re trained on—and that data is us, the monster is us.
The fine-tuning layer exists to make them nice and aligned to a particular moral, but it’s labor-intensive and expensive.
Elon thought he could skip it and cheap it out.
You might also train your llm core only on nice data, and have no monster in it. But we are lacking the amount of data necessary, because we are monsters.
The other possibility is to invent new, more elaborate low level architecture. The current design with a simple activation function and weight is an over-simplification of the real biological neuronal system it tries to mimic. A better architecture would allow to train the models with much less data.
youtube
AI Moral Status
2025-12-12T17:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | virtue |
| Policy | unclear |
| Emotion | resignation |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_Ugx-gKiJl4DA6-3TMj94AaABAg","responsibility":"developer","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugx0RPYyQzjewD5LoCZ4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgwPlM8X9R1I-IYUfAl4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwPFUGkrCzsqnWi0yh4AaABAg","responsibility":"user","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugxm7-51VLEPCeWaUHB4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"unclear","emotion":"resignation"},
{"id":"ytc_UgxG7PZzziicwtPtsdd4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugz990vwa4FndOtcG4p4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx4L26Rp-Tx9BcOVGV4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgzfaiMa41DwIIF44jd4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwTqyXrj9dD5m6E_c54AaABAg","responsibility":"developer","reasoning":"virtue","policy":"unclear","emotion":"mixed"}
]