Raw LLM Responses
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current generative AI "art" aren't really AI, they're generated by fine tuned gl…
ytc_UgyZPokKx…
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Just got laid off from bell (call center) after a decade, ai and outsourcing is …
ytr_UgwpAN9pu…
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Uma pergunta. Já viram uma desas na cor preta? Eu nunca vi um robô negro ou negr…
ytc_UgzpEMadU…
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As someone that deals with anxiety and depression daily, if YOU allow 'AI' to 't…
ytc_UgzDza_iY…
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these Ai needs to be banned for public use. Ai picture video editing can be ver…
ytc_UgxGL7dbP…
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People do weird things during crisis moments 🤷♂️ maybe he already knew the robo…
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Heartless robot. Our lives are meaningful when we have contributions to make. …
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who could have thought that ai will use human behaviour like lying and deceiving…
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Comment
No, it's *worse than that.*
It's not only because copilot was trained with poor code. It's also because *Copilot has no fucking idea what you're trying to optimise* , and *average is not what you want.*
The average between a good solution to problem A and a good solution to problem B is generally *not* a good solution to problem A+B/2.
Average are *compromises* and compromises are generally *bad* in algorithms.
Not making the difference between *result* on one hand and *method to get the result* in the other had is a typical *plain noob error.*
You fundamentally *cannot write good code by language imitation* in general, because the test functions you need to solve your problems with a given language are *never ever used in the IA's training!* So such IA can always learn the language you want to use, but it *cannot learn your problem* , by design.
Specialized IA could be used to solve your all programming problems, but *not* IA designed for statistical language imitation. What you need is a totally different kind of IA. More specifically, you need an *algebra solver* and a *machine simulator.* The only part where a LLM might be useful is to translate your request written in silly human language into a logical problem to solve.
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2024-06-15T23:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | outrage |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgxU-slTqYtBSe52fnh4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyAlS3pDzuhNqy16EB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxN_vF4zaf5t_pedeV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx2kNNG7JKc-NsFeaZ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyuRPbyjoH2w2kXIXp4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxdd1wSiJe9yZWaumR4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwU5I9g-QNLzF0rSVl4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"frustration"},
{"id":"ytc_UgwKHnlnzoObFNGwsMh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwVe-t2OXIYqSUcKuB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugwdy6uwOyKB4uJLxqZ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]