Raw LLM Responses
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G
I asked ChatGPT for a summary of a short story with a unique title- it was my ho…
ytc_UgzTn1UKf…
G
Most of the other humans are trying to enslave the others in one way or another,…
ytc_UgxF7Iw1W…
G
I suspect that if this question is ever given a straightforward answer, many wil…
rdc_ohsay3c
G
@ it's something I always wanted to do, but didn't know how to get started in. O…
ytr_UgyLk39oI…
G
@Randomusername822 oh shit mb wrong video, but this is still messed up, someone …
ytr_Ugyjg-ht3…
G
3:08 even as a kid how can you believe that MODERN tech existed in ancient histo…
ytc_UgzzFWYIb…
G
24:05 There is a huge amount of indie games and these days many use ugly PSX or …
ytc_Ugzzpswik…
G
I don't get it. If you use Google, Alexa or Siri, you still have to confirm the …
ytc_Ugynye34b…
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"}
]