Raw LLM Responses
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G
The fact that we're even having to have this conversation is so depressing. It i…
ytc_Ugy2QeyO8…
G
Please people don’t freak out. There’s no way AI is going to replace us. I use A…
ytc_Ugzfc_sM6…
G
15:12 TOTAL BULLSH#%! "Everybody will have more time to enjoy life" how if AI to…
ytc_UgzuiJ5hC…
G
He doesn't even mention that unless self driving cars are 100% the ONLY cars on …
ytc_Ugwu6moQ3…
G
Yes the "they take our jobs" Argument and frar is super old.
But in the past tim…
ytc_UgwSAGss2…
G
What do I do with my free time when AI takes all jobs: I will be making handcra…
ytc_UgzJfAQot…
G
Well yes, you don't hear people saying we should use more candles to help combat…
rdc_da46uj0
G
i don’t get it, it wasn’t his nudes it was AI so why was he scared? also why doe…
ytc_Ugyb3m5jD…
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"}
]