Raw LLM Responses
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G
Job is optional, therefore
1. AI owners will pay us universally and we can all e…
ytc_UgxlGD5Qc…
G
I feel like HR is really just AI. How come the least human interactions I’ve had…
ytc_UgwBsvhTT…
G
People need to unionize in the tech business now before it is too late. They can…
ytr_UgxJl9mxm…
G
Palestine was not a name indicating or referring to its inhabitants. It was a pl…
ytc_UgwSw-FPJ…
G
You are way too optimistic. Robots that could survive in nature like cockroaches…
ytr_UgwRtq5x7…
G
It's not quite that simple. The main challenge with face recognition currently i…
ytr_UgyWJ14lM…
G
She went off the rails, not mentioning China’s influence in our AI buildout.
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ytc_UgxdmgEzS…
G
Humans WILL NOT be so quick to consume AI written/generated works. People want t…
ytc_Ugxef6Joq…
Comment
Not all of ai is bad. Yes she’s right that the very thing that ironically gives life these machines can essentially kill all planetary life not just humans. Has anyone thought of asking ai for possible solutions? I asked Deepseek for examples of ai doing anything positive and it said “ Water Warriors:
→ Diné (Navajo) using AI to track + prove corporate water theft → won $5B in water rights.
Tool: Satellite imagery + open-source ML on solar-powered laptops.
Forest Guardians:
→ Waorani tribes in Ecuador deploying AI-listening devices to catch illegal loggers → expelled miners from 500k acres.
Language Keepers:
→ Cherokee Nation’s AI language model (no Big Tech) — reviving Tsalagi for next generations.
Data Sovereignty:
→ Māori “Tribal AI” using blockchain-sealed data pods — reclaiming genetic/cultural knowledge from biopirates.“ Don’t take my word for it ask any major AI what realistic solutions it can provide for us to use it responsibly without destroying ourselves and it in the process.
youtube
Cross-Cultural
2025-06-30T23:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgwqhTjaxsXzQcKudZB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugw8RgQpuMDok8csY-t4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgxCdW88Zajbti276KJ4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxJwtgCq7TtNy7v-S94AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwcNKt_sgozJ9nDxLZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzUo26z1m8D8HBFD2t4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugyz3DiP_GyL3d42Y7x4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgzsCn8EneBCVmkP5yJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyqejgbH1O67Ax8M4R4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwOa6yHWqr-i5jdKmh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}
]