Raw LLM Responses
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meanwhile China Built more than 100KM of road without Human, just using AI and a…
ytc_UgysDaMC2…
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Small company already, and they just made a really bad decision, because ChatGPT…
rdc_jps7dek
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Ai will replace so many peoples jobs, wait till yall see the fallout from that. …
ytc_UgzerXdIH…
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What gets me is that it's not just artists' work they're ****** (I'm not saying …
ytc_Ugwns5pbL…
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I would never sit in a self-driving vehicle as I don't trust it. It might reinst…
ytc_UgzNnxQvU…
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Like it or hate it AI is here to stay. The unfortunate thing is that the general…
ytc_UgyliTpSa…
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It's also able to work with very complex situations that human therapists don't …
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Governments and businesses always talk about AI being able to give us more free …
ytc_UgzcfJ-N5…
Comment
Maybe some other model needs to be explored for LLM's. Chat GPT is also surprisingly bad at chess, to the extent that GM's can easily beat it. But chess AI's are way beyond world champion levels for more than a decade.
When it comes to programming or doing mathematics, perhaps we need something else. A kind of branching/evolution algorithm that rewards code that comes closer to solving a problem vs code that doesn't. An LLM only regurgitates what a lot of humans already have compiled. That just isn't efficient for certain problems, as you mentioned.
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Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_n7gxqcv","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"rdc_n7hcp3a","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_n7ht3fb","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_n7hbsrf","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"rdc_n7h2l4v","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]