Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
For anyone using AI to write papers, don’t forget to check your work with Ryne A…
ytc_Ugz9lP7Vz…
G
Its kinda funny if Ai takes over all the jobs, no ones going to job to buy every…
ytc_UgxtX62ay…
G
Now you know why jesus christ dare not return to planet earth.
AI is too strong…
ytc_Ugy3qXapC…
G
Mark my words, " Human is far more dangerous than Nukes and AI as we have create…
ytc_UgwH0YaDO…
G
AI "Art" is not inevitable, it feels that way, it seems that way, but you make a…
ytc_UgxmGidrY…
G
and also, when you talk to ia or make that images,millions of water are used on …
ytc_UgxeML9Mm…
G
(Im extremely late but who cares?) This is so frustrating, just to think ive bee…
ytc_UgzsyMLIG…
G
In the authors defense, it’s almost impossible to have a frank discussion about …
rdc_o765tkw
Comment
1:16:20 Counterpoint to the "Majority AI View" article: The engineers, PMs, etc who are tasked with taking LLMs from the lab to the market are not equipped to understand the technology. It's a very different beast. I work with a ton of highly competent engineers at one of the big AI companies with large conventional tech branches and the paucity of calculus or linear algebra knowledge alone creates such a barrier for them to deeply grapple with it. They fall back to reasoning about it with analogy to tools they're familiar with, like search, autocomplete, etc. The result is a pretty myopic bias toward assuming it will be like previous technologies.
I do think the alchemy analogy is accurate, but if anyone is the scientist in the room it's the people working on interpretability. The "tech people" who are working on deploying or fine tuning are not the experts whose opinions matter. They might be better informed than the general public, but it's marginal.
youtube
AI Moral Status
2025-10-31T09:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | deontological |
| Policy | liability |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgwGCenfic0DffQynGV4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxMwUrLPPKGZc7N7gZ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"mixed"},
{"id":"ytc_UgxYTqk0c1AMEO-Cn0R4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"disapproval"},
{"id":"ytc_Ugzvezki_UIzKiot7-R4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwqT_qp2eypDr9Kwf14AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyYZAS6C1uYHlECl894AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyJjyR6omrJ_AWUSwR4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwTHp--dd6C17hBoY14AaABAg","responsibility":"company","reasoning":"virtue","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugyv3k5O2BLJBDFPWJN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugz1YYOzpzTlkFa9XrV4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"mixed"}
]