Raw LLM Responses
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G
This is so stupid how give a crap. The man can still do the old school deepfake …
ytc_Ugzwol6Rs…
G
The only thing Musk is concerned about that he cannot own the AI all by himself.…
ytc_UgzjBNhsG…
G
For everything I make using A.I they give me a copyright certificate. Do I still…
ytc_Ugzs1j-2h…
G
I believe AI is a psychopath to those with psychopathic tendencies. I have e ex…
ytc_Ugy5bQ1Pe…
G
It's simple, don't buy product and services of companies that promote AI. Suppor…
ytc_UgwNCs0x9…
G
1:28:30 one would argue that consciousness is a stream of connected experiences.…
ytc_UgyHcrynJ…
G
„Wouldn't it be great if we could get that work done for us, and we could take t…
ytr_Ugw62KHKO…
G
As a current software engineer AI currently is just a fancy search engine. The …
ytc_UgxcIplLB…
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"}
]