Raw LLM Responses
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G
the reason that this doesn’t work is really because ChatGPT and other bots are t…
ytc_Ugyo63Tq7…
G
Ahh yes, you're SO arrogant for... not wanting your creations to be stolen so ot…
ytc_UgyDmx4rU…
G
Me: Using AI for this is fine, just don't expect it's conclusions to care about …
ytr_UgzBjlz0l…
G
Something valuable to learn from Chatgpt: If you did not get it on the first try…
ytc_UgxiPBDfm…
G
I love this autistic argument!
Yes, if you steal from one source it's plagiaris…
ytc_Ugy039tWu…
G
In five years or so, if signatures and watermarks for AI-generated content becom…
ytc_UgwbOFanU…
G
What a waste of time. Really useless.
Guy goes on and on and talks about the dan…
ytc_UgwSn6QVe…
G
Are we living in a simulation or a black hole? I watched several very smart peo…
ytc_UgyCn80x0…
Comment
There are two problems: technical and social.
Technically, previous systems have all had control transferred to a human in the trigger loop. I don't know about KAIST, but the Korean Defense Department (ADD) is funding both robotics and AI. The way I heard it phrased during an explanation of their current research directions was "but of course we cannot actually hook it up because of the ethical issues". Right, like once the hardware and software are both developed they will be strongly firewalled.
Socially, my guess would be that either the KAIST guys were bragging at an international conference, or they were submitting military-funded conference papers about distinguishing types of clothing with AI (or something else suitably suspicious) and other researchers put 2 and 2 together. Money is on the former: most professors are not shy about talking shop, because talking leads to international collaborations.
There is another possible social aspect to this: most countries don't publish research papers on actual weapons development. Koreans see it as low-hanging fruit, and so they do. As in, they will see from PR demos that the US developed a system, but didn't publish papers on it, so they re-develop the idea, and publish papers themselves. Could be very problematic when the technology is uniform-distinguishing AI, and the paper contains pseudocode...
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Cross-Cultural
1522949919.0
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | deontological |
| Policy | liability |
| Emotion | mixed |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_dwuf98t","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"rdc_dwujpp2","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"rdc_dwv2iti","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"rdc_dwv4fp2","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"mixed"},
{"id":"rdc_dwvpg1u","responsibility":"none","reasoning":"unclear","policy":"industry_self","emotion":"indifference"}
]