Raw LLM Responses
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G
C’est clairement l’IA au service des plus gros fraudeurs et pas du tout l’IA au …
ytc_Ugx9qpUxs…
G
With tech it seems that we end up with one or a small number of companies that d…
rdc_nsimdq4
G
Good thing it cause of AI and not that 70 billion dollar reduction year over yea…
ytc_UgzzP6tUZ…
G
You should just feed the ai yourself rather then waiting for the middle man. Fee…
ytc_UgxI39zk0…
G
so first we had people claiming to have written college essays which were actual…
ytc_Ugwc7arXQ…
G
No duh!
Being Objective is r a c i s t and s e x i st these days!
Any, yes ANY…
ytc_UgxbA3pnT…
G
Honestly a 99% success rate in diagnosis may already be higher than most human d…
rdc_jw5hucw
G
I respect NDT but this one was disappointing. It shows his lack of understanding…
ytc_UgxUTfy1l…
Comment
25:00 Sorry but that story isn't true. The officer talked about a hypothetical scenario, a simple mindgame were some real people thought about how AI may act in a situation if the given instructions allow for loopholes. Some online magazines just blatantly misinterpreted what he talked about in the press conference but there was no actual AI involved.
Beside that, you fell for the same mistake that almost everyone falls for these days when it comes to chat AIs like Binge's or chatGPT: They are made to make for interesting conversations. Nothing more, nothing less. If you ask them specific questions to check out if they may be a conscious AI waiting to be able to build a Terminator, they act like it because they are designed to mirror-fake a discussion.
But if you feed them simple datasets and let them analyse these they fail most times to correctly analyze them when asked specific questions about the datasets provided. They're not anywhere near conscious nor somewhere near anything that resembles an intelligence comparable to a human yet. They're nothing more than pretty good at faking conversations based on trillions of online conversations between real people. A chatbot
youtube
AI Governance
2023-07-09T18:1…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugz1vZ476Sm1Nff4HHl4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxZbEnYRITSPEzzfNp4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugz_7ScVMwd1x5qp59d4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"indifference"},
{"id":"ytc_UgxjOpITEQE4VwlOsQN4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzHY-799Ce6_s10wkl4AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwOG9xbtBYDm17OOul4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugx-hTWi8px3of0Ku3h4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgxJI-0O2P_As1352NJ4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgyQH_QjeTXhP8bGH_R4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugw5409cgTfOCCBcEjh4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}
]