Raw LLM Responses
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G
Facial recognition has been proven to not be accurate and unreliable when it com…
ytc_Ugzmc6Ia8…
G
If the human race survives the AI destruction that is eventually going to come t…
ytc_UgxHDsLXF…
G
And now we have to realize how AI now is manipulating people it's not telling yo…
ytc_UgyizRYSs…
G
The difference is that digital art is a medium that still requires some degree o…
ytc_UgwYKGA-0…
G
There is no exploration. There is only pattern matching, regurgitation and guess…
ytc_Ugxolvmxr…
G
How many fucking more Movies regarding Human vs robot do we still have to make t…
ytc_UgxG5uZiN…
G
I think the most dangerous part about waymos or other self driving vehicles is: …
ytc_Ugx_IDOW_…
G
Yes, the people going on about how the current models are only LLMs and not "rea…
ytr_UgwrzOutM…
Comment
@wesleywyndam-pryce5305 or it may as well mean you use it wrong) Not that i think that i write good code)
If you actually use it to generate clear cut and small snippets it gets quite the good job of naming and applying algorythms give or take a small cleanup. If you are trying to generate big code blocks or complex ideas that actually require way more than just applying something you may find in a book or documentation for the thing you are using - then sure it will generate pure garbage most of the time(but sometimes it even works, so it can be ocassionally usefull, though in my practice it takes more to refactor it than to just decomposit the task yourself and make the ai do the "busy work" of doing verbose and somewhat "clean" code). Its also good at translating unsearchable queries like "that bus that is used to control and communicate with displays in mobile phones"(not the best example, but you get the jist of it, trying to find the term based on its vague qualities that any human fammiliar with it could identify) or something vague like that, which would take some time to actually get the answer.
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AI Jobs
2024-07-04T20:4…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | user |
| Reasoning | mixed |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_Ugyz60ptxYe4IIXiWop4AaABAg.A4pycgvXdNnA5Eb-akDfHX","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugws8ZnRO9bBg9kV0IN4AaABAg.A4okjhk8d4vAUVP8_sN9t4","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytr_UgzBOXooJ-09ERpsSFR4AaABAg.A4o-X-cOQvCA5USGjS46Wb","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytr_UgzBOXooJ-09ERpsSFR4AaABAg.A4o-X-cOQvCA6krFRfGF1l","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgzBOXooJ-09ERpsSFR4AaABAg.A4o-X-cOQvCA8G9ngCff9_","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytr_UgwxJi1fiXILjEAcJA14AaABAg.A4joCxX6lVyA4ukpHSO7_q","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytr_UgwxJi1fiXILjEAcJA14AaABAg.A4joCxX6lVyA4xhjxhZlJE","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgxwSPgZsOGpesmz0gB4AaABAg.A4jePxGkQcLA4jfBe7VVJw","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwsrsRca6eHSSTjcxF4AaABAg.A4iqFAu0QMzA5JKFDgvk-0","responsibility":"user","reasoning":"mixed","policy":"industry_self","emotion":"fear"},
{"id":"ytr_UgyuRPbyjoH2w2kXIXp4AaABAg.A4iPdyNvnu2A4jcTDVBhq9","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"}
]