Raw LLM Responses
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G
Question, is it bad to ask AI to help me with world building? I feel like I’m go…
ytc_Ugx2-7Yy9…
G
Phhht it's much darker than that.
Using aggregate data analysis software like …
rdc_kqtbjhe
G
Save AI! Save Space , energy , gen! 😅
We must need better technology better th…
ytc_UgwIbn944…
G
I am getting old now, I’ve seen and been around tech since it’s infancy. If you …
ytc_UgyDzdK4e…
G
I'm not entertaining AI until we eliminate capitalism. The scum of the earth alr…
ytc_UgwsL5oUE…
G
AI will keep advancing no Matter what we think just like the internet and everyt…
ytc_Ugx5ZJHBV…
G
@Spe-chann
For copyright, I don't think so, you can copyright a drawing specifi…
ytr_UgznQgjJP…
G
@rachelmaddowswife8713 Many academics did and do work in private sectors too, th…
ytr_UgwXdZkE2…
Comment
> then pinged phones to see who was in the immediate vicinity
I worked in the mobile phone industry and that's not a real thing. You could pull tower data from a nearby tower, but you can't covertly "ping phones" in the vicinity. Even if it were pulling tower data, it would be highly illegal without a warrant and no judge would grant a blanket warrant for everyone in the vicinity of some geographical coordinates from photo metadata.
Also...
> collects facial data it skims from social media sites
...ignoring facebook, twitter, whatsapp, etc, and only looking at instagram, there are [52 million new photos uploaded per day](https://www.quora.com/How-many-photos-are-being-uploaded-on-Instagram-daily). The cost and time it would take to process that much information would highly exceed any benefit from the relatively small number of fugitives that would be found this way--you would need google or amazon size datacenters dedicated to just doing that.
So the whole story sounds like a false explanation for how he was caught, but is just plausible enough on the surface to sound like it might be true.
reddit
AI Harm Incident
1529368335.0
♥ 19
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | government |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | outrage |
| Coded at | 2026-04-25T08:13:13.233606 |
Raw LLM Response
[
{"id":"rdc_dzp9m1g","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"rdc_dzqagxd","responsibility":"none","reasoning":"deontological","policy":"unclear","emotion":"mixed"},
{"id":"rdc_e0vqjaz","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"rdc_e0wc1aw","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"rdc_e0whwzz","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"}
]