Raw LLM Responses
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G
I tend to use LLMs when:
A. I'm tired and can't understand the code.
B. I'm drun…
ytr_Ugz5cPY3c…
G
@Vosovogalsyncope on the contrary, write a lot of code yourself because programm…
ytr_UgwZ4Fjp1…
G
All that hate cause someone made an Ai art post🤦♂️ Real art ain’t going anywher…
ytc_UgzOwUget…
G
“AI will take our jobs and ruin our sense of purpose.” That’s a horrendous and o…
ytc_Ugw2S1nhJ…
G
Wait I didn't think AI crime "prediction" was real, I thought that was just a po…
ytc_UgwZj5R_t…
G
Even if for verification purposes, why would I even want to test its capacity to…
ytc_UgzSNeRJB…
G
Ok im actually asking like how people cant see any diff of ai art and not like i…
ytc_Ugz2x0L8K…
G
The bubble is going to burst when people realize that you can't scale your way t…
rdc_n7z8ryk
Comment
As a SWE I just hate how sometimes teams force to come up with AI use cases when it should be the other way round. If you have a problem which can be solved with AI then use AI otherwise not. But there is some kind of kink these companies have to force AI in their tech stack. This is the exact reason why 95% of AI usecases fail. Because no one needs them. Soon enough 95% of AI based solutions companies will fail too.
I use AI to write my code and then I check it and debug it. It does make the job faster but it definitely doesn't replace the job. I think the main skill that SWEs should learn now is understanding and debugging the code. AI however good it might be makes quite a lot of mistakes in code and queries.
youtube
AI Responsibility
2025-10-02T16:0…
♥ 2
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | mixed |
| Policy | industry_self |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugw5q4SOyWER0gEfevp4AaABAg","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzyFNGyoIppD2H1Ek14AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgydFmZOOJ1-Y_2-Fq94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwJLtel4dzY1g9cWlB4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugy9QETWasRnBEH4zjh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzLTEHoxEhuUEm5cr54AaABAg","responsibility":"company","reasoning":"mixed","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgzmPVxb5SMr6PWWxEh4AaABAg","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyqRtAC1N5y2m2Qjcx4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwgaYq3VGx-ugU__tR4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgznvmTRf6r7ugjtPip4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"}
]