Raw LLM Responses
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G
Hey @dakiddtv4207, thanks for commenting! Are these AI robots practicing for a d…
ytr_Ugx0YaW2-…
G
Humans too are next token predictors, except the exact scope of the tokens/conce…
ytc_UgxwLPDTC…
G
@TechnoMasterBoy Lmao how delusional can you be? I can't understand how clankers…
ytr_UgzN4ndUK…
G
Because at some level, before AI, there was always a human acquiring the target,…
ytr_UgweF6r84…
G
This is a mistake, if AI displaces the majory of humans in jobs, they there will…
ytc_UgzWZZVui…
G
I think the biggest threat to our society hinges on whether AI will be made avai…
ytc_UgwWSMM8s…
G
they won't survive if it's a trend though. they might adapt to alternate energy…
rdc_czlxuyw
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Everyone makes a good point, but I do kinda wonder... is this that OP's version …
ytc_UgwRNm5le…
Comment
ChatGPT has given me some grossly wrong information on things I know about professionally, and has also surprised me by writing a few items really well. On a subject in which I am an unordained layperson, I find that it telling me that Moses Robinson was in the U.S. House of Representatives from 1797 to 1804. That is nonsense. Robinson in fact was in the U.S. Senate from 1791 to 1796, resigning after five years of a six-year term, and was never in the House of Representatives. And it's done that with a whole bunch of other matters on a considerable variety of subjects. It does much better when it doesn't need hard facts. I told it to expel a diplomat as persona non grata and it produced a short document that seemed plausible (although it said the diplomat was to depart "immediately", whereas I had had the impression that these things usually say "within 48 hours", or 36 or 72 or whatever), although I lack experience with such things. I told it to write a politician's campaign speech in favor of good roads and good whether, and what it wrote seemed ok if those were actually the issues of the day. And sometimes it's done well with hard facts when those were not particularly obscure.
youtube
AI Responsibility
2023-06-12T16:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | liability |
| Emotion | outrage |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[{"id":"ytc_Ugx0ySlvkjP5XeCQRAJ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugwn_R__QVOZ_O2tYNR4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzcABFYR9npLxBQ6r94AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugwk2s8VxMyqRUF0iuR4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgzS9NjiAqiNSjv-2bB4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugz7xkhdxmcG0IkXcLV4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyVQUjRKE7vLsbPxPB4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugzk1uhye11QHbLF6Z54AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx5ld0moXVu-aNbOhJ4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgxAhDVjf0JZhiDaZHp4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"}]