Raw LLM Responses
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G
@MrTangent Why dont we ban cars all together? Buses and trains as well since we…
ytr_UgxVTuSUC…
G
>It will never cease to amaze how the two greatest western powers in history …
rdc_fwh83pr
G
There is a term that is not used much anymore to describe a trite saying: "a bro…
ytc_Ugweva5fX…
G
I do woodworking and I can't get AI to help me plan even the simplest designs wi…
rdc_n7yp39x
G
El "padrino" psicópata de la IA hablando de Medicina sin tener ni puta idea de M…
ytc_UgyoLS39R…
G
Why care? AI, nuclear war, covid part two electric boogaloo, old age, irrelevanc…
ytc_Ugx3YkHe2…
G
पॉकेट fm पर गीता कृष्णम (Geeta krushnam) एक अच्छी स्टोरी है । जिसे इंटरेस्ट हो व…
ytc_Ugw-IkTVx…
G
Another true story of mine I like to share... After feeding my AI algorithms wit…
ytc_UgxcfX4Wg…
Comment
Addressing the AI divide requires scalable, high-quality multilingual datasets that meet strict privacy and compliance standards something Lifewood specializes in for enterprise needs. Providing equitable access at scale is challenging, but structured data pipelines can make a real difference.
youtube
Cross-Cultural
2026-03-27T07:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgwmUlPK1yZWC0a8LjB4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwyQMaRm8MRI-PBi094AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugyc5UnfpDBGhKu2mhp4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyemXqjMjoe6b72HMp4AaABAg","responsibility":"distributed","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugw_oE23pbUYrFOpIDh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzNB_s9O0rn7fXV-zd4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzbcJzTGa3T87ji0uh4AaABAg","responsibility":"company","reasoning":"virtue","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugz_nHJWm0mrs_RR1ON4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgxibUXsX25ZN8EE17R4AaABAg","responsibility":"government","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwLt-50j2WgLeaR5uZ4AaABAg","responsibility":"government","reasoning":"unclear","policy":"unclear","emotion":"indifference"}
]