Raw LLM Responses
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G
They need to figure this out because the only thing thats gonna happen is you're…
ytc_UgzvXW0W1…
G
AI. Just like everything in this sick capitalist system. Also needs resources. T…
ytc_Ugx5XiLlk…
G
No one’s born an artist that takes years of work and effort to achieve that . Wo…
ytc_UgyCWFppA…
G
And yet drones are a "national security risk" while ai is being advertised as so…
ytc_Ugxae8LcY…
G
Bro much rather follows A.I. Then the creator, without the creator humans would …
ytc_UgzCgmsek…
G
We are in another bubble. The hounds think they smell money. It'll take a few ye…
ytc_Ugy04HRb3…
G
I think AI will do what it must to help maintain order, and I dont believe it wi…
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G
@R4nd0m-m7m I would never start making my own game if it wasn't for AI. As a sol…
ytr_UgzkL47hv…
Comment
I am a physicist and I kind of feel 20% bad for these lawyers because I can see exactly how this sort of thing could happen. In my own experiments with CGPT, I asked it for references about a topic and it gave me 4. These looked legit with names of people I recognized working on the sort of topics they usually work on. I went to those references and couldn't find them, but they were convincing and if I hadn't been paying attention when writing a paper (and if the way we put citations in papers wasn't automated in such a way to make this impossible) I could have put the citation in as a placeholder with the intention of checking it later. With 40-60 citations per paper, it would have been easy to miss that one in the checks.
The reason I only feel 20% bad for the lawyers is because citations in science are a very different thing than in law. In law, you don't cite a case without describing in detail why it is pertinent. In science, you might cite 60 papers with most of them just being "here are examples of other work on this topic". You generally only write in detail about the findings in your citations a few times in the paper when you have a very specific point you need to make.
youtube
AI Responsibility
2023-06-10T18:2…
♥ 234
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | user |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | resignation |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgzRDPTO1gVHJ2wgoJx4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytc_UgwFGa7la3pXMm5JZ2l4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwnuakR89i9JyjgN_B4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz1AQY15vIHmDjQg_B4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwMDKWeHCePqkQ7Pz14AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwIDKUXqRwhSb5lpO94AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgyGl4Iycu8ghTRsj8x4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx35JiGi9Cn1EdlP8d4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwrAi_A7oA9zeqakiN4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_UgxZjZCDoHytdP9ejO94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]