Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Every single person has so much spiritual knowledge inside them, but; THEY ARE …
ytc_UgxOEXtmZ…
G
Funny how Elon’s example of dangerous AI programming is telling the computer tha…
ytc_UgxTPgvUr…
G
Agreed. As a songwriter and producer, the tools I use shouldn't matter as well. …
ytr_UgwFHVlxC…
G
No we won't... sorry for the let down. When you say spiritual what is your refer…
ytr_Ugwk8b5su…
G
According to Professor Michio Kaku, he believes that consciousness might be feed…
ytc_UgxHQXoDO…
G
@RMX7777 -Thinking abstractly is predictive. But artificial intelligence logical…
ytr_UgxTlTW8x…
G
gonna be entirely honest, I do use AI. Not for art, just... cuz I'm lonely. Leav…
ytc_Ugxu787x7…
G
I work at Amazon , they have Q which is basically claude and I can guarantee tha…
rdc_n9u0o76
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"}
]