Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
You can tell by the resolution on what’s ai or not. The fluidity just doesn’t se…
ytc_UgzEOzHIa…
G
I was really hoping never to see the development of AI in our lifetime, things a…
ytc_UgwdU27T0…
G
Humanity: Yeah we have no idea why they're like that
AI: What?! But created me.…
ytc_UgwCsT5JJ…
G
For the same reason, those shitty videos that Boston Dynamics made about their d…
ytr_UgxVCc9ou…
G
Can someone summarize for me please what the five jobs are? AI sucks to do that …
ytc_UgwKnJTWW…
G
The programming has been done. The social slaves (reliant on social welfare) wil…
ytc_Ugw7Eda0G…
G
Thank you for the interview. Perhaps this is a cut up of a longer interview. I w…
ytc_UgyN4S98j…
G
the salesmen being interviewed know theyre speaking nonsense, pay attention to t…
ytr_UgypJ-vuN…
Comment
As someone who's taken a fair bit of ML classes, I think your approach is wrong here. From this video, it seems like you don't yourself really have a background in ML(?), but we aren't taught to use python the same way we would in a class for python or software development.
The focus isn't on fundamentals, but on math, algorithms, and on programming specifically for ML. We never use the REPL - we primarily use jupyter notebooks in google collab. Type signatures, inheritance, etc are really not within thescope of our courses. In fact, ML is probably closer related to math than to general software development at my uni.
Essentially, you are asking him about things that aren't actually that relevant to his field of study. While yes, he should definitely know some of these things, a lot of them like REPL is absolutely useless in ML. I think you might've gotten better answers if you had asked him about ML specific questions like how he would avoid overfitting, which algorithm he would use for embedding and how it works and so on.
youtube
AI Jobs
2025-11-13T13:2…
♥ 4
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgyFyk4Z3RpXuPJLy414AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxiInyb4MumvBZNet14AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugwklg_EYRWaKYXSn5F4AaABAg","responsibility":"user","reasoning":"virtue","policy":"industry_self","emotion":"approval"},
{"id":"ytc_Ugy8Ei2DYb7mOi4D0-94AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugyhr9bIj-RU-nRyFcZ4AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwTXnvVRv09CO6Xxpx4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"disapproval"},
{"id":"ytc_UgxLJubHP0ySk1OifY94AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyYvvcMuPkajTMnVfh4AaABAg","responsibility":"user","reasoning":"virtue","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgwsDD-0M-sMONiqHv54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwZNpDv2aHoDknXq0V4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"disapproval"}
]