Raw LLM Responses
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G
I gave you a thumbs down because you Bait and Switched on the thumbnail. Still a…
ytc_UgzpsQ82c…
G
I just set up mine for the first time and the instructions implied that people w…
rdc_oi2uc31
G
I thought the potential for deepfake to swing elections and start wars was sligh…
ytc_UgwhP8Bwk…
G
Let us provide a service to you that you do not want nor have asked for, showing…
ytc_UgxDwHy6Z…
G
You've given poor old ChatGPT a Hobson's choice, or perhaps double bind would be…
ytc_Ugwe2g1ie…
G
Everyone spitting doom and gloom about AI has obviously not used LLMs since thei…
ytc_UgxeSAKLA…
G
The AI companies should also be paying royalties to the creators of all the know…
ytc_UgybrBuIv…
G
The majority of chips are manufactured in Taiwan.
This, to me, looks a lot like…
rdc_gt5btoh
Comment
Invest in diplomacy, understandiing other people and fiindiing ways to get along, coexist, tolerate, share food, improve human relations, be less territorial. We huumans shouldd be distrustful of systems which have repeatedly demonstrated faiiledd ethiciical reasoning. The dilemma is that AI response times in weapons scenarios are faster than human times, and even if the USA prioritiized human deciisiion making other natiions might not. Better solutions are to disincentivize human conflict. What are peoplle fightiing over anyway? Food, resources for food, women, religion, water, land, money and mining. Holly land? Religiious based reasoniing iis unreasonable. Competion w China should be peaceful, streightforward, and they shoulld stop being duplicitous. It's really better to invest in diiplomatic and social solutions than think a war of ballistic or missiles oor bombs is winnable. The weapons and redduundancy were desiignedd for MAD. Mutually Assured Destruction. It is not winnable. Have a different strategy and priorities for humanity and Earth. Play a more peaceful game.
youtube
AI Governance
2026-03-23T17:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | government |
| Reasoning | contractualist |
| Policy | regulate |
| Emotion | fear |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgyyRaGlIHpi4uNgWWh4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwAUri5ge2gEHPWRRJ4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyK7sTIDr_RlGCeMWx4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgyeyTyI8KE-Q-QOo8t4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyZI4HkAEnkL0pLLtR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxQZWOVRIyYnSeMK6x4AaABAg","responsibility":"government","reasoning":"contractualist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzpgCcp6EEjK5Cc_4t4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxzeWASYMaPTkN3IG14AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugw6IcHEbBBhdKVPJg94AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"mixed"},
{"id":"ytc_UgwK6aIREv4mVPwt56p4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"unclear","emotion":"fear"}
]